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1
Lamhaut, L., C. M. Nivet, C. Dagron, L. Nace, F. Braun, and P. Carli. "Retour d’expérience des évacuations par train à grande vitesse de patients en syndrome de détresse respiratoire aiguë sur infection à Covid-19 : les missions Chardon." Annales françaises de médecine d’urgence 10, no. 4-5 (September 2020): 288–97. http://dx.doi.org/10.3166/afmu-2020-0275.
Анотація:
Lors de la crise Covid-19 en France, il a fallu transférer des patients de zones où les lits de réanimation étaient saturés vers d’autres régions. Tous les moyens ont été utilisés : terrestre, aérien, maritime… Pour la première fois, des trains à grande vitesse (TGV) ont été utilisés. Le transport ferroviaire avait été utilisé largement pendant la Première Guerre mondiale. Ces transferts ont nécessité une collaboration extrêmement importante interservices : ministère, agences régionales de santé, hôpitaux, Samu zonaux, Samu, Smur associations de sécurités civiles, sapeurs-pompiers… L’une des collaborations des plus importantes a été celle avec la SNCF qui a permis une adaptation des rames, sécurisations des itinéraires, adaptation de la conduite… Chaque voiture transporte quatre patients intubés en syndrome de détresse respiratoire aiguë avec un médecin senior, un junior, quatre infirmiers et un logisticien pour la réalisation de la surveillance et des soins. Dans chaque rame, une équipe de régulation médicale est présente pour la coordination. Il y a eu dix évacuations sanitaires, qui ont transporté 197 patients sur 6 600 km (350‒950 km/TGV). Le transport le plus long a été de 7 h 14 min. On n’a pas relevé de complications majeures pendant les transferts. Plusieurs questions restent en suspens comme les critères de sélections des patients, la mise en place d’un train sanitaire aménagé permanent, un stock de matériel. Afin de mieux connaître les conséquences sur les patients, une étude est en cours. Les urgentistes ont une nouvelle corde à leur arc avec la possibilité d’effectuer des évacuations sanitaires en TGV pour des patients médicaux graves sur de longues distances.
2
Andrejevic, Mark, Hugh Davies, Ruth DeSouza, Larissa Hjorth, and Ingrid Richardson. "Situating ‘careful surveillance’." International Journal of Cultural Studies 24, no. 4 (March 9, 2021): 567–83. http://dx.doi.org/10.1177/1367877921997450.
Анотація:
In this article we explore preliminary findings from the study COVIDSafe and Beyond: Perceptions and Practices conducted in Australia in 2020. The study involved a survey followed by interviews, and aimed to capture the dynamic ways in which members of the Australian public perceive the impact of Covid practices – especially public health measures like the introduction of physical and social distancing, compulsory mask wearing, and contact tracing. In the rescripting of public space, different notions of formal and informal surveillance, along with different textures of mediated and social care, appeared. In this article, we explore perceptions around divergent forms of surveillance across social, technological, governmental modes, and the relationship of surveillance to care in our media and cultural practices. What does it mean to care for self and others during a pandemic? How does care get enacted in, and through, media interfaces and public interaction?
3
Wang, Kailao, Jinming Pan, Xiuqin Rao, Yefeng Yang, Fujie Wang, Rongjin Zheng, and Yibin Ying. "An Image-Assisted Rod-Platform Weighing System for Weight Information Sampling of Broilers." Transactions of the ASABE 61, no. 2 (2018): 631–40. http://dx.doi.org/10.13031/trans.12312.
Анотація:
Abstract. The average weight and flock uniformity of broilers in group housing is important information that allows producers to know the flock growth conditions and determine the selling time. However, gathering weight information of chickens is not only labor-intensive for humans but also frightening for the birds. In this study, an image-assisted rod-platform weighing system was developed to automatically monitor the average weight and flock uniformity of broilers in chicken houses. This weighing system consists of a computer and several weighing scales. Each weighing scale contains a rod-platform weighing module and a surveillance camera module. The principle of the automated weighing system is to estimate population weight information using samples. The design of the rod-platform weighing module was based on the perching habit of birds to attract more broilers to stand on the rod platform and thus get more weight samples. The surveillance camera module is used to detect the number of broilers on the rod using image processing technology. A data processing method called PORWI, which includes elimination of redundant records and trim of non-redundant records, was designed to optimize the results of chicken number identification from images to improve the accuracy of the results. An experiment was done in two small groups of broilers with approximately 100 chickens and 8.58 m2 of area for each group. A weekly weighing was conducted, and three kinds of weight information were obtained, which included manual population weight information (MPWI), manual sample-based weight information (MSWI), and automated sampling weight information (ASWI). Each weight information set comprised the group average weight and flock uniformity, which were then used to evaluate accuracy. The perching rate of chickens using the rod platform reached an average of 60 times h-1, and the rate was retained with increasing age. Compared with the MPWI obtained by individual weighing, the manual sample-based measurement method provided results with errors of 0% to +5%, while our automated weighing system achieved accuracies within ±2% for average weight and ±1.5% for flock uniformity. Keywords: Automatic weighing, Average weight, Broiler, Chicken detection, Uniformity.
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Nora, Hastika Yanti, Muhammad Chaerul Latief, and Yuliyanto Budi Setiawan. "FUNGSI KOMUNIKASI MASSA DALAM TELEVISI (Studi Kasus Program Acara ’Bukan Empat Mata’ di TRANS 7)." Jurnal The Messenger 2, no. 1 (March 24, 2016): 10. http://dx.doi.org/10.26623/themessenger.v2i1.278.
Анотація:
<em>This research is conducted to described and verified communication functions on television program called ’Bukan Empat Mata’ on Trans7. This research used survey method. Primary data gathered from questionnaires, while secondary data collected from related literatures. Research final gains, showing that ’Bukan Empat Mata’ serves two mass-communication functions, which are surveillance and linkage functions from media upon society, especially ’Bukan Empat Mata’ audiences come from Semarang University academics. </em>
5
Salzberg, Navit T., Kasthuri Sivalogan, Quique Bassat, Allan W. Taylor, Sunday Adedini, Shams El Arifeen, Nega Assefa, et al. "Mortality Surveillance Methods to Identify and Characterize Deaths in Child Health and Mortality Prevention Surveillance Network Sites." Clinical Infectious Diseases 69, Supplement_4 (October 9, 2019): S262—S273. http://dx.doi.org/10.1093/cid/ciz599.
Анотація:
Abstract Despite reductions over the past 2 decades, childhood mortality remains high in low- and middle-income countries in sub-Saharan Africa and South Asia. In these settings, children often die at home, without contact with the health system, and are neither accounted for, nor attributed with a cause of death. In addition, when cause of death determinations occur, they often use nonspecific methods. Consequently, findings from models currently utilized to build national and global estimates of causes of death are associated with substantial uncertainty. Higher-quality data would enable stakeholders to effectively target interventions for the leading causes of childhood mortality, a critical component to achieving the Sustainable Development Goals by eliminating preventable perinatal and childhood deaths. The Child Health and Mortality Prevention Surveillance (CHAMPS) Network tracks the causes of under-5 mortality and stillbirths at sites in sub-Saharan Africa and South Asia through comprehensive mortality surveillance, utilizing minimally invasive tissue sampling (MITS), postmortem laboratory and pathology testing, verbal autopsy, and clinical and demographic data. CHAMPS sites have established facility- and community-based mortality notification systems, which aim to report potentially eligible deaths, defined as under-5 deaths and stillbirths within a defined catchment area, within 24–36 hours so that MITS can be conducted quickly after death. Where MITS has been conducted, a final cause of death is determined by an expert review panel. Data on cause of death will be provided to local, national, and global stakeholders to inform strategies to reduce perinatal and childhood mortality in sub-Saharan Africa and South Asia.
6
Santamaria, Amilcare, Pierfrancesco Raimondo, Mauro Tropea, Floriano De Rango, and Carmine Aiello. "An IoT Surveillance System Based on a Decentralised Architecture." Sensors 19, no. 6 (March 26, 2019): 1469. http://dx.doi.org/10.3390/s19061469.
Анотація:
In the last few years, we witnessed numerous episodes of terrorist attacks and menaces in public crowded places. The necessity of better surveillance in these places pushed the development of new automated solutions to spot and notify possible menaces as fast as possible. In this work, we propose a novel approach to create a decentralized architecture to manage patrolling drones and cameras exploiting lightweight protocols used in the internet of things (IoT) domain. Through the adoption of the mist computing paradigm it is possible to give to all the object of the smart ecosystem a cognitive intelligence to speed up the recognition and analysis tasks. Distributing the intelligence among all the objects of the surveillance ecosystem allows a faster recognition and reaction to possible warning situations. The recognition of unusual objects in certain areas, e.g., airports, train stations and bus stations, has been made using computer vision algorithms. The adoption of the IoT protocols in a hierarchical architecture provides high scalability allowing an easy and painless join of other smart objects. Also a study on the soft real-time feasibility has been conducted and is herein presented.
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Fernández, Jessica, José M. Cañas, Vanessa Fernández, and Sergio Paniego. "Robust Real-Time Traffic Surveillance with Deep Learning." Computational Intelligence and Neuroscience 2021 (December 27, 2021): 1–18. http://dx.doi.org/10.1155/2021/4632353.
Анотація:
Real-time vehicle monitoring in highways, roads, and streets may provide useful data both for infrastructure planning and for traffic management in general. Even though it is a classic research area in computer vision, advances in neural networks for object detection and classification, especially in the last years, made this area even more appealing due to the effectiveness of these methods. This study presents TrafficSensor, a system that employs deep learning techniques for automatic vehicle tracking and classification on highways using a calibrated and fixed camera. A new traffic image dataset was created to train the models, which includes real traffic images in poor lightning or weather conditions and low-resolution images. The proposed system consists mainly of two modules, first one responsible of vehicle detection and classification and a second one for vehicle tracking. For the first module, several neural models were tested and objectively compared, and finally, the YOLOv3 and YOLOv4-based network trained on the new traffic dataset were selected. The second module combines a simple spatial association algorithm with a more sophisticated KLT (Kanade–Lucas–Tomasi) tracker to follow the vehicles on the road. Several experiments have been conducted on challenging traffic videos in order to validate the system with real data. Experimental results show that the proposed system is able to successfully detect, track, and classify vehicles traveling on a highway on real time.
8
Wan, Kim Sui, Peter Seah Keng Tok, Kishwen Kanna Yoga Ratnam, Nuraini Aziz, Marzuki Isahak, Rafdzah Ahmad Zaki, Nik Daliana Nik Farid, et al. "Implementation of a COVID-19 surveillance programme for healthcare workers in a teaching hospital in an upper-middle-income country." PLOS ONE 16, no. 4 (April 14, 2021): e0249394. http://dx.doi.org/10.1371/journal.pone.0249394.
Анотація:
Introduction The reporting of Coronavirus Disease 19 (COVID-19) mortality among healthcare workers highlights their vulnerability in managing the COVID-19 pandemic. Some low- and middle-income countries have highlighted the challenges with COVID-19 testing, such as inadequate capacity, untrained laboratory personnel, and inadequate funding. This article describes the components and implementation of a healthcare worker surveillance programme in a designated COVID-19 teaching hospital in Malaysia. In addition, the distribution and characteristics of healthcare workers placed under surveillance are described. Material and methods A COVID-19 healthcare worker surveillance programme was implemented in University Malaya Medical Centre. The programme involved four teams: contact tracing, risk assessment, surveillance and outbreak investigation. Daily symptom surveillance was conducted over fourteen days for healthcare workers who were assessed to have low-, moderate- and high-risk of contracting COVID-19. A cross-sectional analysis was conducted for data collected over 24 weeks, from the 6th of March 2020 to the 20th of August 2020. Results A total of 1,174 healthcare workers were placed under surveillance. The majority were females (71.6%), aged between 25 and 34 years old (64.7%), were nursing staff (46.9%) and had no comorbidities (88.8%). A total of 70.9% were categorised as low-risk, 25.7% were moderate-risk, and 3.4% were at high risk of contracting COVID-19. One-third (35.2%) were symptomatic, with the sore throat (23.6%), cough (19.8%) and fever (5.0%) being the most commonly reported symptoms. A total of 17 healthcare workers tested positive for COVID-19, with a prevalence of 0.3% among all the healthcare workers. Risk category and presence of symptoms were associated with a positive COVID-19 test (p<0.001). Fever (p<0.001), cough (p = 0.003), shortness of breath (p = 0.015) and sore throat (p = 0.002) were associated with case positivity. Conclusion COVID-19 symptom surveillance and risk-based assessment have merits to be included in a healthcare worker surveillance programme to safeguard the health of the workforce.
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Maytin, Lauren, Jason Maytin, Priya Agarwal, Anna Krenitsky, JoAnn Krenitsky, and Robert S. Epstein. "Attitudes and Perceptions Toward COVID-19 Digital Surveillance: Survey of Young Adults in the United States." JMIR Formative Research 5, no. 1 (January 8, 2021): e23000. http://dx.doi.org/10.2196/23000.
Анотація:
Background COVID-19 is an international health crisis of particular concern in the United States, which saw surges of infections with the lifting of lockdowns and relaxed social distancing. Young adults have proven to be a critical factor for COVID-19 transmission and are an important target of the efforts to contain the pandemic. Scalable digital public health technologies could be deployed to reduce COVID-19 transmission, but their use depends on the willingness of young adults to participate in surveillance. Objective The aim of this study is to determine the attitudes of young adults regarding COVID-19 digital surveillance, including which aspects they would accept and which they would not, as well as to determine factors that may be associated with their willingness to participate in digital surveillance. Methods We conducted an anonymous online survey of young adults aged 18-24 years throughout the United States in June 2020. The questionnaire contained predominantly closed-ended response options with one open-ended question. Descriptive statistics were applied to the data. Results Of 513 young adult respondents, 383 (74.7%) agreed that COVID-19 represents a public health crisis. However, only 231 (45.1%) agreed to actively share their COVID-19 status or symptoms for monitoring and only 171 (33.4%) reported a willingness to allow access to their cell phone for passive location tracking or contact tracing. Conclusions Despite largely agreeing that COVID-19 represents a serious public health risk, the majority of young adults sampled were reluctant to participate in digital monitoring to manage the pandemic. This was true for both commonly used methods of public health surveillance (such as contact tracing) and novel methods designed to facilitate a return to normal (such as frequent symptom checking through digital apps). This is a potential obstacle to ongoing containment measures (many of which rely on widespread surveillance) and may reflect a need for greater education on the benefits of public health digital surveillance for young adults.
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Maity, Sayan, Mohamed Abdel-Mottaleb, and Shihab S. Asfour. "Multimodal Low Resolution Face and Frontal Gait Recognition from Surveillance Video." Electronics 10, no. 9 (April 24, 2021): 1013. http://dx.doi.org/10.3390/electronics10091013.
Анотація:
Biometric identification using surveillance video has attracted the attention of many researchers as it can be applicable not only for robust identification but also personalized activity monitoring. In this paper, we present a novel multimodal recognition system that extracts frontal gait and low-resolution face images from frontal walking surveillance video clips to perform efficient biometric recognition. The proposed study addresses two important issues in surveillance video that did not receive appropriate attention in the past. First, it consolidates the model-free and model-based gait feature extraction approaches to perform robust gait recognition only using the frontal view. Second, it uses a low-resolution face recognition approach which can be trained and tested using low-resolution face information. This eliminates the need for obtaining high-resolution face images to create the gallery, which is required in the majority of low-resolution face recognition techniques. Moreover, the classification accuracy on high-resolution face images is considerably higher. Previous studies on frontal gait recognition incorporate assumptions to approximate the average gait cycle. However, we quantify the gait cycle precisely for each subject using only the frontal gait information. The approaches available in the literature use the high resolution images obtained in a controlled environment to train the recognition system. However, in our proposed system we train the recognition algorithm using the low-resolution face images captured in the unconstrained environment. The proposed system has two components, one is responsible for performing frontal gait recognition and one is responsible for low-resolution face recognition. Later, score level fusion is performed to fuse the results of the frontal gait recognition and the low-resolution face recognition. Experiments conducted on the Face and Ocular Challenge Series (FOCS) dataset resulted in a 93.5% Rank-1 for frontal gait recognition and 82.92% Rank-1 for low-resolution face recognition, respectively. The score level multimodal fusion resulted in 95.9% Rank-1 recognition, which demonstrates the superiority and robustness of the proposed approach.
11
Zimmermann, Bettina Maria, Amelia Fiske, Barbara Prainsack, Nora Hangel, Stuart McLennan, and Alena Buyx. "Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study." Journal of Medical Internet Research 23, no. 2 (February 8, 2021): e25525. http://dx.doi.org/10.2196/25525.
Анотація:
Background The main German-speaking countries (Germany, Austria, and Switzerland) have implemented digital contact tracing apps to assist the authorities with COVID-19 containment strategies. Low user rates for these apps can affect contact tracing and, thus, its usefulness in controlling the spread of the novel coronavirus. Objective This study aimed to assess the early perceptions of people living in the German-speaking countries and compare them with the frames portrayed in the newspapers during the first wave of the COVID-19 pandemic. Methods We conducted qualitative interviews with 159 participants of the SolPan project. Of those, 110 participants discussed contact tracing apps and were included in this study. We analyzed articles regarding contact tracing apps from 12 newspapers in the German-speaking countries. Results Study participants perceived and newspaper coverage in all German-speaking countries framed contact tracing apps as governmental surveillance tools and embedded them in a broader context of technological surveillance. Participants identified trust in authorities, respect of individual privacy, voluntariness, and temporary use of contact tracing apps as prerequisites for democratic compatibility. Newspapers commonly referenced the use of such apps in Asian countries, emphasizing the differences in privacy regulation among these countries. Conclusions The uptake of digital contact tracing apps in German-speaking countries may be undermined due to privacy risks that are not compensated by potential benefits and are rooted in a deeper skepticism towards digital tools. When authorities plan to implement new digital tools and practices in the future, they should be very transparent and proactive in communicating their objectives and the role of the technology—and how it differs from other, possibly similar, tools. It is also important to publicly address ethical, legal, and social issues related to such technologies prior to their launch.
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Chong, Ka Chun, Katherine Jia, Shui Shan Lee, Chi Tim Hung, Ngai Sze Wong, Francisco Tsz Tsun Lai, Nancy Chau, et al. "Characterization of Unlinked Cases of COVID-19 and Implications for Contact Tracing Measures: Retrospective Analysis of Surveillance Data." JMIR Public Health and Surveillance 7, no. 11 (November 16, 2021): e30968. http://dx.doi.org/10.2196/30968.
Анотація:
Background Contact tracing and intensive testing programs are essential for controlling the spread of COVID-19. However, conventional contact tracing is resource intensive and may not result in the tracing of all cases due to recall bias and cases not knowing the identity of some close contacts. Few studies have reported the epidemiological features of cases not identified by contact tracing (“unlinked cases”) or described their potential roles in seeding community outbreaks. Objective For this study, we characterized the role of unlinked cases in the epidemic by comparing their epidemiological profile with the linked cases; we also estimated their transmission potential across different settings. Methods We obtained rapid surveillance data from the government, which contained the line listing of COVID-19 confirmed cases during the first three waves in Hong Kong. We compared the demographics, history of chronic illnesses, epidemiological characteristics, clinical characteristics, and outcomes of linked and unlinked cases. Transmission potentials in different settings were assessed by fitting a negative binomial distribution to the observed offspring distribution. Results Time interval from illness onset to hospital admission was longer among unlinked cases than linked cases (median 5.00 days versus 3.78 days; P<.001), with a higher proportion of cases whose condition was critical or serious (13.0% versus 8.2%; P<.001). The proportion of unlinked cases was associated with an increase in the weekly number of local cases (P=.049). Cluster transmissions from the unlinked cases were most frequently identified in household settings, followed by eateries and workplaces, with the estimated probability of cluster transmissions being around 0.4 for households and 0.1-0.3 for the latter two settings. Conclusions The unlinked cases were positively associated with time to hospital admission, severity of infection, and epidemic size—implying a need to design and implement digital tracing methods to complement current conventional testing and tracing. To minimize the risk of cluster transmissions from unlinked cases, digital tracing approaches should be effectively applied in high-risk socioeconomic settings, and risk assessments should be conducted to review and adjust the policies.
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Kim, Won-Keun, Jin Sun No, Daesang Lee, Jaehun Jung, Hayne Park, Yongjin Yi, Jeong-Ah Kim, et al. "Active Targeted Surveillance to Identify Sites of Emergence of Hantavirus." Clinical Infectious Diseases 70, no. 3 (March 20, 2019): 464–73. http://dx.doi.org/10.1093/cid/ciz234.
Анотація:
Abstract Background Endemic outbreaks of hantaviruses pose a critical public health threat worldwide. Hantaan orthohantavirus (HTNV) causes hemorrhagic fever with renal syndrome (HFRS) in humans. Using comparative genomic analyses of partial and nearly complete sequences of HTNV from humans and rodents, we were able to localize, with limitations, the putative infection locations for HFRS patients. Partial sequences might not reflect precise phylogenetic positions over the whole-genome sequences; finer granularity of rodent sampling reflects more precisely the circulation of strains. Methods Five HFRS specimens were collected. Epidemiological surveys were conducted with the patients during hospitalization. We conducted active surveillance at suspected HFRS outbreak areas. We performed multiplex polymerase chain reaction–based next-generation sequencing to obtain the genomic sequence of HTNV from patients and rodents. The phylogeny of human- and rodent-derived HTNV was generated using the maximum likelihood method. For phylogeographic analyses, the tracing of HTNV genomes from HFRS patients was defined on the bases of epidemiological interviews, phylogenetic patterns of the viruses, and geographic locations of HTNV-positive rodents. Results The phylogeographic analyses demonstrated genetic clusters of HTNV strains from clinical specimens, with HTNV circulating in rodents at suspected sites of patient infections. Conclusions This study demonstrates a major shift in molecular epidemiological surveillance of HTNV. Active targeted surveillance was performed at sites of suspected infections, allowing the high-resolution phylogeographic analysis to reveal the site of emergence of HTNV. We posit that this novel approach will make it possible to identify infectious sources, perform disease risk assessment, and implement preparedness against vector-borne viruses.
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Das, Manoja Kumar, Ashoka Mahapatra, Basanti Pathi, Rajashree Panigrahy, Swetalona Pattnaik, Sudhansu Shekhar Mishra, Samarendra Mahapatro, et al. "Harmonized One Health Trans-Species and Community Surveillance for Tackling Antibacterial Resistance in India: Protocol for a Mixed Methods Study." JMIR Research Protocols 9, no. 10 (October 30, 2020): e23241. http://dx.doi.org/10.2196/23241.
Анотація:
Background India has the largest burden of drug‑resistant organisms compared with other countries around the world, including multiresistant and extremely drug‑resistant tuberculosis and resistant Gram‑negative and Gram‑positive bacteria. Antibiotic resistant bacteria are found in all living hosts and in the environment and move between hosts and ecosystems. An intricate interplay of infections, exposure to antibiotics, and disinfectants at individual and community levels among humans, animals, birds, and fishes triggers evolution and spread of resistance. The One Health framework proposes addressing antibiotic resistance as a complex multidisciplinary problem. However, the evidence base in the Indian context is limited. Objective This multisectoral, trans-species surveillance project aims to document the infection and resistance patterns of 7 resistant-priority bacteria and the risk factors for resistance following the One Health framework and geospatial epidemiology. Methods This hospital- and community-based surveillance adopts a cross-sectional design with mixed methodology (quantitative, qualitative, and spatial) data collection. This study is being conducted at 6 microbiology laboratories and communities in Khurda district, Odisha, India. The laboratory surveillance collects data on bacteria isolates from different hosts and their resistance patterns. The hosts for infection surveillance include humans, animals (livestock, food chain, and pet animals), birds (poultry), and freshwater fishes (not crustaceans). For eligible patients, animals, birds and fishes, detailed data from their households or farms on health care seeking (for animals, birds and fishes, the illness, and care seeking of the caretakers), antibiotic use, disinfection practices, and neighborhood exposure to infection risks will be collected. Antibiotic prescription and use patterns at hospitals and clinics, and therapeutic and nontherapeutic antibiotic and disinfectant use in farms will also be collected. Interviews with key informants from animal breeding, agriculture, and food processing will explore the perceptions, attitudes, and practices related to antibiotic use. The data analysis will follow quantitative (descriptive and analytical), qualitative, and geospatial epidemiology principles. Results The study was funded in May 2019 and approved by Institute Ethics Committees in March 2019. The data collection started in September 2019 and shall continue till March 2021. As of June 2020, data for 56 humans, 30 animals and birds, and fishes from 10 ponds have been collected. Data analysis is yet to be done. Conclusions This study will inform about the bacterial infection and resistance epidemiology among different hosts, the risk factors for infection, and resistance transmission. In addition, it will identify the potential triggers and levers for further exploration and action. International Registered Report Identifier (IRRID) DERR1-10.2196/23241
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Burrows, Stephanie, and Lucie Laflamme. "Assessment of Accuracy of Suicide Mortality Surveillance Data in South Africa." Crisis 28, no. 2 (March 2007): 74–81. http://dx.doi.org/10.1027/0227-5910.28.2.74.
Анотація:
Abstract. Although it is not a legal requirement in South Africa, medical practitioners determine the manner of injury death for a surveillance system that is currently the only source of epidemiological data on suicide. This study assessed the accuracy of suicide data as recorded in the system using the docket produced from standard medico-legal investigation procedures as the gold standard. It was conducted in one of three cities where the surveillance system had full coverage for the year 2000. In the medico-legal system, one-third of cases could not be tracked, had not been finalized, or had unclear outcomes. For the remaining cases, the sensitivity, specificity, and positive and negative predictive values were generally high, varying somewhat across sex and race groups. Poisoning, jumping, and railway suicides were more likely than other methods to be misclassified, and were more common among females and Whites. The study provides encouraging results regarding the use of medical practitioner expertise for the accurate determination of suicide deaths. However, suicides may still be underestimated in this process given the challenge of tracing disguised suicides and without the careful examination of potential misclassifications of true suicides as unintentional deaths.
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Prahara, Adhi, Ahmad Azhari, and Murinto Murinto. "Vehicle pose estimation for vehicle detection and tracking based on road direction." International Journal of Advances in Intelligent Informatics 3, no. 1 (March 31, 2017): 35. http://dx.doi.org/10.26555/ijain.v3i1.88.
Анотація:
Vehicle has several types and each of them has different color, size, and shape. The appearance of vehicle also changes if viewed from different viewpoint of traffic surveillance camera. This situation can create many possibilities of vehicle poses. However, the one in common, vehicle pose usually follows road direction. Therefore, this research proposes a method to estimate the pose of vehicle for vehicle detection and tracking based on road direction. Vehicle training data are generated from 3D vehicle models in four-pair orientation categories. Histogram of Oriented Gradients (HOG) and Linear-Support Vector Machine (Linear-SVM) are used to build vehicle detectors from the data. Road area is extracted from traffic surveillance image to localize the detection area. The pose of vehicle which estimated based on road direction will be used to select a suitable vehicle detector for vehicle detection process. To obtain the final vehicle object, vehicle line checking method is applied to the vehicle detection result. Finally, vehicle tracking is performed to give label on each vehicle. The test conducted on various viewpoints of traffic surveillance camera shows that the method effectively detects and tracks vehicle by estimating the pose of vehicle. Performance evaluation of the proposed method shows 0.9170 of accuracy and 0.9161 of balance accuracy (BAC).
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Fabre, Sophie, Rollin Gimenez, Arnaud Elger, and Thomas Rivière. "Unsupervised Monitoring Vegetation after the Closure of an Ore Processing Site with Multi-Temporal Optical Remote Sensing." Sensors 20, no. 17 (August 25, 2020): 4800. http://dx.doi.org/10.3390/s20174800.
Анотація:
Ore processing is a source of soil heavy metal pollution. Vegetation traits (structural characteristics such as spatial cover and repartition; biochemical parameters—pigment and water contents, growth rate, phenological cycle…) and plant species identity are indirect and powerful indicators of residual contamination detection in soil. Multi-temporal multispectral satellite imagery, such as the Sentinel-2 time series, is an operational environment monitoring system widely used to access vegetation traits and ensure vegetation surveillance across large areas. For this purpose, methodology based on a multi-temporal fusion method at the feature level is applied to vegetation monitoring for several years from the closure and revegetation of an ore processing site. Features are defined by 26 spectral indices from the literature and seasonal and annual change detection maps are inferred. Three indices—CIred-edge (CIREDEDGE), IRECI (Inverted Red-Edge Chlorophyll Index) and PSRI (Plant Senescence Reflectance Index)—are particularly suitable for detecting changes spatially and temporally across the study area. The analysis is conducted separately for phyto-stabilized vegetation zones and natural vegetation zones. Global and specific changes are emphasized and explained by information provided by the site operator or meteorological conditions.
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Gao, Fei, Jiada Li, Yisu Ge, Jianwen Shao, Shufang Lu, and Libo Weng. "A Trajectory Evaluator by Sub-tracks for Detecting VOT-based Anomalous Trajectory." ACM Transactions on Knowledge Discovery from Data 16, no. 4 (August 31, 2022): 1–19. http://dx.doi.org/10.1145/3490032.
Анотація:
With the popularization of visual object tracking (VOT), more and more trajectory data are obtained and have begun to gain widespread attention in the fields of mobile robots, intelligent video surveillance, and the like. How to clean the anomalous trajectories hidden in the massive data has become one of the research hotspots. Anomalous trajectories should be detected and cleaned before the trajectory data can be effectively used. In this article, a Trajectory Evaluator by Sub-tracks (TES) for detecting VOT-based anomalous trajectory is proposed. Feature of Anomalousness is defined and described as the Eigenvector of classifier to filter Track Lets anomalous trajectory and IDentity Switch anomalous trajectory, which includes Feature of Anomalous Pose and Feature of Anomalous Sub-tracks (FAS). In the comparative experiments, TES achieves better results on different scenes than state-of-the-art methods. Moreover, FAS makes better performance than point flow, least square method fitting and Chebyshev Polynomial Fitting. It is verified that TES is more accurate and effective and is conducive to the sub-tracks trajectory data analysis.
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Asmarawati, Tri Pudy, Tintin Sukartini, Ardhena Ekasari, Devi Rahma Sofia, Nurul Kamariyah, Dwiki Novendrianto, Putri Yuliasari, et al. "Analysis of contact tracing surveillance for COVID-19 among healthcare workers in secondary referral hospital, Indonesia." F1000Research 11 (May 9, 2022): 506. http://dx.doi.org/10.12688/f1000research.121502.1.
Анотація:
Background: Healthcare workers (HCWs) are more vulnerable to COVID-19 infection. Tracing and screening cases among healthcare workers are essential to overcome the spread of COVID-19. We held surveillance at the second-referral hospital in Surabaya, Indonesia, to inspect the associating factors of infected HCWs. Methods: From 776 HCWs, we conducted a structured retrospective review of all COVID-19-confirmed HCWs and ones having contact with COVID-19 patients between February-July 2021. We associated general characteristics (i.e age, gender, working sites, etc) of the sample with the positive cases, analyzed the vaccination status, then did bivariate and multivariate regression logistic analyses to determine related factors putting HCWs at risk for COVID-19 infection. Results: Bivariate analysis significantly revealed that 72.86% patients had a close contact (OR = 2.61; p<0.05), with medical staffs as the most frequent source (85.71%; OR = 2.19; p=0.033), for > 15 minutes contact duration (90%; OR = 1.1; p<0.05). Healthcare workers wearing proper PPE (N-95 and face shields) were significantly less exposed to COVID-19 (OR = 0.47; p<0.05; and OR = 0.46; p<0.05). Even fully-vaccinated samples were still prone to infection. (OR=1.25; p= 0.042). Common symptoms consisted of fever, rhinorrhea, sore throat, and vomiting (p=0.025l p=0.002; p<0.05; p=0.002). Multivariate regression logistic analysis disclosed that the use of N95 masks, contact duration >15 minutes, and the vaccine were the most influential factors (aOR = 1.72. 95% CI (1.029-2.88); aOR = 3.92. 95% CI (1.75-8.78); aOR = 0.39. 95% CI (0.13-0.82 )) Conclusions: Close contact, lack of compliance in wearing N95 masks, and unvaccinated status are risk factors for COVID-19 exposure to HCWs; thus, to achieve maximum prevention of intra-hospital transmission, the use of N-95 masks, contact avoidance, and vaccination, along with immediate tracing and strict health-protocols are all compulsory.
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Luzzi, I., P. Galetta, M. Massari, Caterina Rizzo, A. M. Dionisi, E. Filetici, A. Cawthorne, et al. "An Easter outbreak of Salmonella Typhimurium DT 104A associated with traditional pork salami in Italy." Eurosurveillance 12, no. 4 (April 1, 2007): 11–12. http://dx.doi.org/10.2807/esm.12.04.00702-en.
Анотація:
Salmonella enterica is a common cause of gastrointestinal illness in Italy. S. Typhimurium accounts for approximately 40% of isolates, and most of these strains belong to the phage type DT104. We describe the investigation of an outbreak of S. Typhimurium DT104A, a subtype never observed before in Italy, which occurred in Rome during spring 2004. We conducted a matched case control study between 24 July and 9 September 2004. Controls were matched for age and area of residence. Each case had between one and four controls. Odds of exposure to potential risk factors and vehicles for the outbreak were compared between cases and controls. A multivariate analysis was conducted to estimate adjusted Odds Ratios. Sixty-three cases of S. Typhimurium DT 104A infection with onset between 1 April and 5 May 2004 were identified. Sixty-one were residents of Rome and two were residents of a neighbouring region. Twenty-six cases (43%) were enrolled in the study. Their median age was 7.5 years. Fourteen of 26 cases and 16 of 62 controls had eaten pork salami (OR= 25.5; 95% CI 1.6- 416.8). No food samples were available for testing. In northern Italy, two months prior to the outbreak, the veterinary surveillance system identified the first isolation of S. Typhimurium DT104A in a pig isolate. Both human and pig isolates showed indistinguishable PFGE patterns. It was not possible to trace the pig after the sample was taken at slaughter. The epidemiological evidence on the implication of pork salami in this outbreak suggests that pork products can also be a vehicle for salmonella in Italy and underlines the importance of good manufacturing practices for ready-to-eat foods. This investigation highlights the value of laboratory-based surveillance in identifying community-wide outbreaks of uncommon pathogens. It also underlines the need to improve surveillance timeliness, for promptly detecting outbreaks, undergoing field investigation, and implementing control measures. Moreover, our study shows the usefulness of integrated human and animal surveillance in tracing the possible source of infection.
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Tao, Zexin, Yanyan Song, Haiyan Wang, Yong Zhang, Hiromu Yoshida, Shengxiang Ji, Aiqiang Xu, et al. "Intercity Spread of Echovirus 6 in Shandong Province, China: Application of Environmental Surveillance in Tracing Circulating Enteroviruses." Applied and Environmental Microbiology 78, no. 19 (July 27, 2012): 6946–53. http://dx.doi.org/10.1128/aem.01861-12.
Анотація:
ABSTRACTEnvironmental surveillance is an effective approach in investigating circulating enteroviruses and had been conducted in the cities of Jinan and Linyi since February 2008 and April 2010, respectively. This study analyzed 46 sewage samples collected in the two cities in 2011 and found that echovirus 6 (E6) was the predominant serotype, with 134 isolates (65 in Jinan and 69 in Linyi) from 23 (50%) samples. This differs from the 2010 data that found 29 E6 isolates in Jinan and only 3 in Linyi. Phylogenetic analysis of the VP1 coding region showed that all environmental E6 samples from 2008 to 2011 (n= 167) segregated into two lineages and revealed an increase in VP1 gene diversity in 2011, suggesting that the increased number of E6 detections reflects a real epidemic in the two cities. Most Linyi isolates (n= 61, or 88%) in 2011 segregated into sublineage 1a, together with 18 Jinan isolates in 2011. Interestingly, the ancestral VP1 sequence of sublineage 1a inferred using the maximum-likelihood method had 100% identity with the sequence of one environmental isolate from Jinan in August 2010, suggesting an intercity spread from Jinan to Linyi. By Bayesian phylodynamic methods, the most recent common ancestor of Linyi isolates in sublineage 1a dated back to 24 December 2010, revealing that this sublineage was likely imported into Linyi from August to December in 2010. This study demonstrates that environmental surveillance is a sensitive method in tracing transmission pathways of circulating enteroviruses among different regions and reveals that E6-associated aseptic meningitis is an emerging concern in China.
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Chang, Leanne, Kaushik Chattopadhyay, Jialin Li, Miao Xu, and Li Li. "Interplay of Support, Comparison, and Surveillance in Social Media Weight Management Interventions: Qualitative Study." JMIR mHealth and uHealth 9, no. 3 (March 1, 2021): e19239. http://dx.doi.org/10.2196/19239.
Анотація:
Background There has been a significant increase in the trend of using social media as a platform to deliver weight management interventions. This illustrates a need to develop a holistic understanding of doctor-patient communication and peer-to-peer communication in social media interventions and to determine their influences on weight management for people with overweight or obesity. Such studies will highlight how social media can be more effectively integrated into weight management programs to enhance individuals’ short-term and long-term weight management behaviors. Objective The aim of this study was to examine patients’ experiences with doctor-patient communication and peer interactions in a social media–based (WeChat) weight management program, and to describe the interplay of three social influence factors—social support, social comparison, and surveillance—in their weight control practices. The program, designed and implemented by the research team located in a tertiary referral hospital in a southeastern province in China, included both diet and physical activity components that targeted people with overweight or obesity. Methods We conducted in-depth interviews with 32 program participants of different ages (mean 35.6, SD 7.7 years), gender (18 women), duration of program membership (mean 1.4 years), and weight loss outcomes (54% weight loss to 9% weight gain). All interview data were audio-recorded, transcribed, and translated using the translation-backtranslation technique. Nvivo software was used to facilitate the coding process. Results Results of thematic analysis indicated the distinct functions of professionally led support and peer support. Professional support was presented in the form of knowledge infusion, efficacy enhancement, and provision of timely feedback. Peer support fostered empathy and sense of belonging, and had a mutually reinforcing relationship with peer comparison and peer-based surveillance. Peer comparison enhanced motivation and positive competition. However, it also reinforced negative group norms, and resulted in downturns in reference standards and collective inactivity. Social media surveillance prompted participants’ reactions to the gaze from medical professionals and peers that could be encouraging or inhibiting. Surveillance enhanced vigilance with weight control norms; however, its influence weakened when participants chose to fake weight data and turn off notifications. Findings from this study illustrated the interrelated and fluctuating influences of support, comparison, and surveillance. Conclusions The interactive traits of social media eased the practices of social support and social comparison, and created new forms of surveillance. This study contributes to an in-depth understanding of social media influences on individuals’ weight control behaviors. Practical implications of the study concern improved strategies for maintaining the positive dynamics of social media interactions and preventing negative resistance to surveillance technology. Trial Registration Chinese Clinical Trial Registry ChiCTR1900025861; http://www.chictr.org.cn/showprojen.aspx?proj=42497
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Oh, Cheol, and Stephen G. Ritchie. "Anonymous Vehicle Tracking for Real-Time Traffic Surveillance and Performance on Signalized Arterials." Transportation Research Record: Journal of the Transportation Research Board 1826, no. 1 (January 2003): 37–44. http://dx.doi.org/10.3141/1826-06.
Анотація:
One of the fundamental requirements for facilitating implementation of any advanced transportation management and information system (ATMIS) is the development of a real-time traffic surveillance system able to produce reliable and accurate traffic performance measures. This study presents a new framework for anonymous vehicle tracking capable of tracing individual vehicles by the vehicle features. The core part of the proposed vehicle tracking method is a vehicle reidentification algorithm for signalized intersections based on inductive vehicle signatures. The new vehicle reidentification system consists of two major components: search space reduction and probabilistic pattern recognition. Not only real-time intersection performance but also intersection origin–destination information can be obtained as the algorithm’s basic output. A systematic simulation investigation was conducted of the performance and feasibility of anonymous vehicle tracking on signalized arterials using the Paramics simulation model. Extensive research experience with vehicle reidentification techniques on single roadway segments was the basis for investigating the performance that could be obtained from tracking individual vehicles across multiple detector stations. The findings of this study serve as a logical and necessary precursor to possible field implementation of vehicle reidentification techniques. The proposed anonymous vehicle tracking methodology with existing traffic surveillance infrastructure would be an invaluable tool for operating agencies in support of ATMIS strategies for congestion monitoring, adaptive traffic control, system evaluation, and provision of real-time traveler information.
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Motomura, Kazushi, Tomoichiro Oka, Masaru Yokoyama, Hiromi Nakamura, Hiromi Mori, Hirotaka Ode, Grant S. Hansman, et al. "Identification of Monomorphic and Divergent Haplotypes in the 2006-2007 Norovirus GII/4 Epidemic Population by Genomewide Tracing of Evolutionary History." Journal of Virology 82, no. 22 (September 4, 2008): 11247–62. http://dx.doi.org/10.1128/jvi.00897-08.
Анотація:
ABSTRACT Our norovirus (NoV) surveillance group reported a >4-fold increase in NoV infection in Japan during the winter of 2006-2007 compared to the previous winter. Because the increase was not linked to changes in the surveillance system, we suspected the emergence of new NoV GII/4 epidemic variants. To obtain information on viral changes, we conducted full-length genomic analysis. Stool specimens from 55 acute gastroenteritis patients of various ages were collected at 11 sites in Japan between May 2006 and January 2007. Direct sequencing of long PCR products revealed 37 GII/4 genome sequences. Phylogenetic study of viral genome and partial sequences showed that the two new GII/4 variants in Europe, termed 2006a and 2006b, initially coexisted as minorities in early 2006 in Japan and that 2006b alone had dominated over the resident GII/4 variants during 2006. A combination of phylogenetic and entropy analyses revealed for the first time the unique amino acid substitutions in all eight proteins of the new epidemic strains. These data and computer-assisted structural study of the NoV capsid protein are compatible with a model of antigenic drift with tuning of the structure and functions of multiple proteins for the global outgrowth of new GII/4 variants. The availability of comprehensive information on genome sequences and unique protein changes of the recent global epidemic variants will allow studies of diagnostic assays, molecular epidemiology, molecular biology, and adaptive changes of NoV in nature.
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Lin, H., T. J. Murray, and E. G. Mason. "Incidence of and defoliation by a newly introduced pest, Paropsisterna variicollis (Coleoptera: Chrysomelidae), on eleven durable Eucalyptus species in Hawke’s Bay, New Zealand." New Zealand Plant Protection 70 (August 8, 2017): 45–51. http://dx.doi.org/10.30843/nzpp.2017.70.26.
Анотація:
In March 2016, an incursion of the paropsine beetle Paropsisterna variicollis (eucalyptus variegated beetle) was detected in the Hawke’s Bay during routine Forest Biosecurity Surveillance. Paropsines cause significant damage to eucalypt plantations in several parts of the world. A survey of three Hawke’s Bay sites containing 11 durable eucalypt species was conducted in January 2017. Defoliation by paropsines, and numbers of eggs, larvae and adults were recorded. Adult Pst. variicollis were observed on all eucalypt species, and were present in larger numbers than Paropsis charybdis in two sites. Eucalyptus bosistoana sustained the greatest defoliation and incidence of eggs and larvae, and E. macrorhyncha the least. Parasitism of Pst. variicollis eggs was observed but the agent was not definitively confirmed. Results indicate Pst. variicollis will exhibit a wide host range in New Zealand but variability observed in the levels of defoliation between species may be linked to heritable traits that can be exploited through current breeding programmes.
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Canova, Cristina, Andrea Di Nisio, Giulia Barbieri, Francesca Russo, Tony Fletcher, Erich Batzella, Teresa Dalla Zuanna, and Gisella Pitter. "PFAS Concentrations and Cardiometabolic Traits in Highly Exposed Children and Adolescents." International Journal of Environmental Research and Public Health 18, no. 24 (December 7, 2021): 12881. http://dx.doi.org/10.3390/ijerph182412881.
Анотація:
Background: Residents of a large area of north-eastern Italy were exposed for decades to high concentrations of perfluoroalkyl and polyfluoroalkyl substances (PFAS) via drinking water. Despite the large amount of evidence in adults of a positive association between serum PFAS and metabolic outcomes, studies focusing on children and adolescents are limited. We evaluated the associations between serum PFAS concentrations that were quantifiable in at least 40% of samples and lipid profile, blood pressure (BP) and body mass index (BMI) in highly exposed adolescents and children. Methods: A cross-sectional analysis was conducted in 6669 adolescents (14–19 years) and 2693 children (8–11 years) enrolled in the health surveillance program of the Veneto Region. Non-fasting blood samples were obtained and analyzed for perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), perfluorohexanesulfonic acid (PFHxS), perfluorononanoic acid (PFNA), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and triglycerides. Low-density lipoprotein cholesterol (LDL-C) was calculated. Systolic and diastolic BP were measured, and BMI z-score accounting for age and sex was estimated. The associations between ln-transformed PFAS (and categorized into quartiles) and continuous outcomes were assessed using generalized additive models. The weighted quantile sum regression approach was used to assess PFAS-mixture effects for each outcome. Analyses were stratified by gender and adjusted for potential confounders. Results: Among adolescents, significant associations were detected between all investigated PFAS and TC, LDL-C, and to a lesser extent HDL-C. Among children, PFOS and PFNA had significant associations with TC, LDL-C and HDL-C, while PFOA and PFHxS had significant associations with HDL-C only. Higher serum concentrations of PFAS, particularly PFOS, were associated with lower BMI z-score. No statistically significant associations were observed between PFAS concentrations and BP. These results were confirmed by the multi-pollutant analysis. Conclusions: Our study supports a consistent association between PFAS concentration and serum lipids, stronger for PFOS and PFNA and with a greater magnitude among children compared to adolescents, and a negative association of PFAS with BMI.
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M, Jagadeesan, Parasuraman Ganeshkumar, Prabhdeep Kaur, Hemalatha Masanam Sriramulu, Manikandanesan Sakthivel, Polani Rubeshkumar, Mohankumar Raju, et al. "Epidemiology of COVID-19 and effect of public health interventions, Chennai, India, March–October 2020: an analysis of COVID-19 surveillance system." BMJ Open 12, no. 3 (March 2022): e052067. http://dx.doi.org/10.1136/bmjopen-2021-052067.
Анотація:
ObjectivesTo describe the public health strategies and their effect in controlling the COVID-19 pandemic from March to October 2020 in Chennai, India.SettingChennai, a densely populated metropolitan city in Southern India, was one of the five cities which contributed to more than half of the COVID-19 cases in India from March to May 2020. A comprehensive community-centric public health strategy was implemented for controlling COVID-19, including surveillance, testing, contact tracing, isolation and quarantine. In addition, there were different levels of restrictions between March and October 2020.ParticipantsWe collected the deidentified line list of all the 192 450 COVID-19 cases reported from 17 March to 31 October 2020 in Chennai and their contacts for the analysis. We defined a COVID-19 case based on the real-time reverse transcriptase-PCR (RT-PCR) positive test conducted in one of the government-approved labs.Outcome measuresThe primary outcomes of interest were incidence of COVID-19 per million population, case fatality ratio (CFR), deaths per million, and the effective reproduction number (Rt). We also analysed the surveillance, testing, contact tracing and isolation indicators.ResultsOf the 192 450 RT-PCR confirmed COVID-19 cases reported in Chennai from 17 March to 31 October 2020, 114 889 (60%) were males. The highest incidence was 41 064 per million population among those 61–80 years. The incidence peaked during June 2020 at 5239 per million and declined to 3627 per million in October 2020. The city reported 3543 deaths, with a case fatality ratio of 1.8%. In March, Rt was 4.2, dropped below one in July and remained so until October, even with the relaxation of restrictions.ConclusionThe combination of public health strategies might have contributed to controlling the COVID-19 epidemic in a large, densely populated city in India. We recommend continuing the test-trace-isolate strategy and appropriate restrictions to prevent resurgence.
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Ganoe, Laken S., Justin D. Brown, Matthew J. Lovallo, Michael J. Yabsley, Kayla B. Garrett, Alec T. Thompson, Robert H. Poppenga, Mark G. Ruder, and W. David Walter. "Surveillance for diseases, pathogens, and toxicants of muskrat (Ondatra zibethicus) in Pennsylvania and surrounding regions." PLOS ONE 16, no. 12 (December 9, 2021): e0260987. http://dx.doi.org/10.1371/journal.pone.0260987.
Анотація:
Using diagnostic data and contemporary sampling efforts, we conducted surveillance for a diversity of pathogens, toxicants, and diseases of muskrats (Ondatra zibethicus). Between 1977 and 2019, 26 diagnostic cases were examined from Kansas and throughout the Southeast and Mid-Atlantic, USA. We identified multiple causes of mortality in muskrats, but trauma (8/26), Tyzzer’s disease (5/6), and cysticercosis (5/26) were the most common. We also conducted necropsies, during November 2018—January 2019 Pennsylvania muskrat trapping season, on 380 trapper-harvested muskrat carcasses after the pelt was removed. Tissue samples and exudate were tested for presence of or exposure to a suite of pathogens and contaminants. Gastrointestinal tracts were examined for helminths. Intestinal helminths were present in 39.2% of necropsied muskrats, with Hymenolepis spp. (62%) and echinostome spp. (44%) being the most common Molecular testing identified a low prevalence of infection with Clostridium piliforme in the feces and Sarcocystis spp. in the heart. We detected a low seroprevalence to Toxoplasma gondii (1/380). No muskrats were positive for Francisella tularensis or Babesia spp. Cysticercosis was detected in 20% (5/26) of diagnostic cases and 15% (57/380) of our trapper-harvested muskrats. Toxic concentrations of arsenic, cadmium, lead, or mercury were not detected in tested liver samples. Copper, molybdenum, and zinc concentrations were detected at acceptable levels comparative to previous studies. Parasite intensity and abundance were typical of historic reports; however, younger muskrats had higher intensity of infection than older muskrats which is contradictory to what has been previously reported. A diversity of pathogens and contaminants have been reported from muskrats, but the associated disease impacts are poorly understood. Our data are consistent with historic reports and highlight the wide range of parasites, pathogens and contaminants harbored by muskrats in Pennsylvania. The data collected are a critical component in assessing overall muskrat health and serve as a basis for understanding the impacts of disease on recent muskrat population declines.
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Hong, Peter, Joshua C. Herigon, Colby Uptegraft, Bassem Samuel, D. Levin Brown, Jonathan Bickel, and Jonathan D. Hron. "Use of clinical data to augment healthcare worker contact tracing during the COVID-19 pandemic." Journal of the American Medical Informatics Association 29, no. 1 (October 19, 2021): 142–48. http://dx.doi.org/10.1093/jamia/ocab231.
Анотація:
Abstract Objective This work examined the secondary use of clinical data from the electronic health record (EHR) for screening our healthcare worker (HCW) population for potential exposures to patients with coronavirus disease 2019 (COVID-19). Materials and Methods We conducted a cross-sectional study at a free-standing, quaternary care pediatric hospital comparing first-degree, patient-HCW pairs identified by the hospital’s COVID-19 contact tracing team (CTT) to those identified using EHR clinical event data (EHR Report). The primary outcome was the number of patient-HCW pairs detected by each process. Results Among 233 patients with COVID-19, our EHR Report identified 4116 patient-HCW pairs, including 2365 (30.0%) of the 7890 pairs detected by the CTT. The EHR Report also revealed 1751 pairs not identified by the CTT. The highest number of patient-HCW pairs per patient was detected in the inpatient care venue. Nurses comprised the most frequently identified HCW role overall. Conclusions Automated methods to screen HCWs for potential exposures to patients with COVID-19 using clinical event data from the EHR (1) are likely to improve epidemiological surveillance by contact tracing programs and (2) represent a viable and readily available strategy that should be considered by other institutions.
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Linda, G. Merlin, G. Themozhi, and Sudheer Reddy Bandi. "Color-mapped contour gait image for cross-view gait recognition using deep convolutional neural network." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 01 (August 23, 2019): 1941012. http://dx.doi.org/10.1142/s0219691319410121.
Анотація:
In recent decades, gait recognition has garnered a lot of attention from the researchers in the IT era. Gait recognition signifies verifying or identifying the individuals by their walking style. Gait supports in surveillance system by identifying people when they are at a distance from the camera and can be used in numerous computer vision and surveillance applications. This paper proposes a stupendous Color-mapped Contour Gait Image (CCGI) for varying factors of Cross-View Gait Recognition (CVGR). The first contour in each gait image sequence is extracted using a Combination of Receptive Fields (CORF) contour tracing algorithm which extracts the contour image using Difference of Gaussians (DoG) and hysteresis thresholding. Moreover, hysteresis thresholding detects the weak edges from the total pixel information and provides more well-balanced smooth features compared to an absolute one. Second CCGI encodes the spatial and temporal information via color mapping to attain the regularized contour images with fewer outliers. Based on the front view of a human walking pattern, the appearance of cross-view variations would reduce drastically with respect to a change of view angles. This proposed work evaluates the performance analysis of CVGR using Deep Convolutional Neural Network (CNN) framework. CCGI is considered a gait feature for comparing and evaluating the robustness of our proposed model. Experiments conducted on CASIA-B database show the comparisons of previous methods with the proposed method and achieved 94.65% accuracy with a better recognition rate.
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Elsner, W. K., A. T. Mitchell, and J. A. Fitzsimons. "Distribution of the long-footed potoroo (Potorous longipes) and the spot-tailed quoll (Dasyurus maculatus) in the Goolengook Forest, East Gippsland, Victoria." Australian Mammalogy 34, no. 1 (2012): 100. http://dx.doi.org/10.1071/am11026.
Анотація:
A survey to assess the distribution of two endangered marsupial species, the long-footed potoroo (Potorous longipes) and the spot-tailed quoll (Dasyurus maculatus) in the south and east of the Goolengook Forest Management Block was conducted in September and October 2006. Survey techniques consisted of hair-tubing, camera surveillance, collecting scat of target species and predators, and searching for activity and tracks of the target species. Eleven sites were surveyed. Twenty-eight records of long-footed potoroo were confirmed at nine of the sites, while one spot-tailed quoll record was confirmed from one of the sites. A record of the long-footed potoroo in the eastern Blackwatch Creek catchment extended, by several kilometres, the boundary of the known East Gippsland distribution at the time of the survey. Long-footed potoroos are distributed widely within the study area and are likely to form part of a contiguous population that extends across the Goolengook Forest and into adjacent forest.
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Paye, Marietou F., Kadidja Gamougame, Sarah K. Payamps, Alicia R. Feagins, Daugla Doumagoum Moto, Ronelngar Moyengar, Nathan Naïbeï, et al. "Implementation of Case-Based Surveillance and Real-time Polymerase Chain Reaction to Monitor Bacterial Meningitis Pathogens in Chad." Journal of Infectious Diseases 220, Supplement_4 (October 31, 2019): S182—S189. http://dx.doi.org/10.1093/infdis/jiz366.
Анотація:
Abstract Background Meningococcal serogroup A conjugate vaccine (MACV) was introduced in Chad during 2011–2012. Meningitis surveillance has been conducted nationwide since 2003, with case-based surveillance (CBS) in select districts from 2012. In 2016, the MenAfriNet consortium supported Chad to implement CBS in 4 additional districts and real-time polymerase chain reaction (rt-PCR) at the national reference laboratory (NRL) to improve pathogen detection. We describe analysis of bacterial meningitis cases during 3 periods: pre-MACV (2010–2012), pre-MenAfriNet (2013–2015), and post-MenAfriNet (2016–2018). Methods National surveillance targeted meningitis cases caused by Neisseria meningitidis, Haemophilus influenzae, and Streptococcus pneumoniae. Cerebrospinal fluid specimens, inoculated trans-isolate media, and/or isolates from suspected meningitis cases were tested via culture, latex, and/or rt-PCR; confirmed bacterial meningitis was defined by a positive result on any test. We calculated proportion of suspected cases with a specimen received by period, and proportion of specimens with a bacterial meningitis pathogen identified, by period, pathogen, and test. Results The NRL received specimens for 6.8% (876/12813), 46.4% (316/681), and 79.1% (787/995) of suspected meningitis cases in 2010–2012, 2013–2015, and 2016–2018, respectively, with a bacterial meningitis pathogen detected in 33.6% (294/876), 27.8% (88/316), and 33.2% (261/787) of tested specimens. The number of N. meningitidis serogroup A (NmA) among confirmed bacterial meningitis cases decreased from 254 (86.4%) during 2010–2012 to 2 (2.3%) during 2013–2015, with zero NmA cases detected after 2014. In contrast, proportional and absolute increases were seen between 2010–2012, 2013–2015, and 2016–2018 in cases caused by S. pneumoniae (5.1% [15/294], 65.9% [58/88], and 52.1% [136/261]), NmX (0.7% [2/294], 1.1% [1/88], and 22.2% [58/261]), and Hib (0.3% [1/294], 11.4% [10/88], and 14.9% [39/261]). Of specimens received at the NRL, proportions tested during the 3 periods were 47.7% (418), 53.2% (168), and 9.0% (71) by latex; 81.4% (713), 98.4% (311), and 93.9% (739) by culture; and 0.0% (0), 0.0% (0), and 90.5% (712) by rt-PCR, respectively. During the post-MenAfriNet period (2016–2018), 86.1% (678) of confirmed cases were tested by both culture and rt-PCR, with 12.5% (85) and 32.4% (220) positive by culture and rt-PCR, respectively. Conclusions CBS implementation was associated with increased specimen referral. Increased detection of non-NmA cases could reflect changes in incidence or increased sensitivity of case detection with rt-PCR. Continued surveillance with the use of rt-PCR to monitor changing epidemiology could inform the development of effective vaccination strategies.
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Chowdhury, Rajiv, Shammi Luhar, Nusrat Khan, Sohel Reza Choudhury, Imran Matin, and Oscar H. Franco. "Long-term strategies to control COVID-19 in low and middle-income countries: an options overview of community-based, non-pharmacological interventions." European Journal of Epidemiology 35, no. 8 (July 13, 2020): 743–48. http://dx.doi.org/10.1007/s10654-020-00660-1.
Анотація:
Abstract In low and middle-income countries (LMICs), strict social distancing measures (e.g., nationwide lockdown) in response to the COVID-19 pandemic are unsustainable in the long-term due to knock-on socioeconomic and psychological effects. However, an optimal epidemiology-focused strategy for ‘safe-reopening’ (i.e., balancing between the economic and health consequences) remain unclear, particularly given the suboptimal disease surveillance and diagnostic infrastructure in these settings. As the lockdown is now being relaxed in many LMICs, in this paper, we have (1) conducted an epidemiology-based “options appraisal” of various available non-pharmacological intervention options that can be employed to safely lift the lockdowns (namely, sustained mitigation, zonal lockdown and rolling lockdown strategies), and (2) propose suitable application, pre-requisites, and inherent limitations for each measure. Among these, a sustained mitigation-only approach (adopted in many high-income countries) may not be feasible in most LMIC settings given the absence of nationwide population surveillance, generalised testing, contact tracing and critical care infrastructure needed to tackle the likely resurgence of infections. By contrast, zonal or local lockdowns may be suitable for some countries where systematic identification of new outbreak clusters in real-time would be feasible. This requires a generalised testing and surveillance structure, and a well-thought out (and executed) zone management plan. Finally, an intermittent, rolling lockdown strategy has recently been suggested by the World Health Organization as a potential strategy to get the epidemic under control in some LMI settings, where generalised mitigation and zonal containment is unfeasible. This strategy, however, needs to be carefully considered for economic costs and necessary supply chain reforms. In conclusion, while we propose three community-based, non-pharmacological options for LMICs, a suitable measure should be context-specific and based on: (1) epidemiological considerations, (2) social and economic costs, (3) existing health systems capabilities and (4) future-proof plans to implement and sustain the strategy.
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Livak, Britt S., Nikhil G. Prachand, and Nanette Benbow. "Anal Intercourse and HIV Risk Among Low-Income Heterosexual Women: Findings from Chicago HIV Behavioral Surveillance." Open AIDS Journal 6, no. 1 (September 7, 2012): 142–48. http://dx.doi.org/10.2174/1874613601206010142.
Анотація:
Background:Anal intercourse (AI) is a highly efficient route for HIV transmission and has not been well elucidated among heterosexual (HET) women. Heterosexual women living in impoverished urban areas in the US are at increased risk for HIV acquisition. We aim to describe rates of AI and characteristics associated with AI among heterosexual women at increased risk for HIV acquisition living in Chicago.Methods:The Chicago Department of Public Health conducted a survey of HET during 2007 as part of the National HIV Behavioral Surveillance System. Venue-based, time-location sampling was used to select participants from venues in high-risk areas (census tracts with concurrently high rates of heterosexual AIDS and household poverty). Eligible participants were interviewed anonymously and offered a HIV test.Results:In total, 407 heterosexual women were interviewed. Seventy-one (17%) women reported having AI in the past 12 months, with 61 of the 71 (86%) reporting unprotected AI. In multivariate analysis, women who engaged in AI were more than three times as likely to have three or more sex partners in the past 12 months (OR=3.27, 95% CI 1.53-6.99). AI was also independently associated with STI diagnosis in the past 12 months (2.13, 95% CI 1.06-4.26), and having sexual intercourse for the first time before the age of 15 years (2.23, 95% CI 1.28-3.89).Conclusion:AI was associated with multiple high risk behaviors including a greater number of sexual partners, STI diagnosis, and earlier age at first sex. The combination of risk factors found to be associated with AI call for new HIV prevention services tailored to the needs of women and young girls living in poverty.
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Holden, Diana, Tisha Mitsunaga, Denise Sanford, Tanya Fryer, June Nash, Emily Schneider, Rituparna Mukhopadhyay, Erin Epson, and Matthew Sylvester. "Multifacility Outbreak of NDM/OXA-23–Producing Acinetobacter baumannii in California, 2020–2021." Antimicrobial Stewardship & Healthcare Epidemiology 1, S1 (July 2021): s79. http://dx.doi.org/10.1017/ash.2021.155.
Анотація:
Background: NDM/OXA-23 carbapenemase-producing Acinetobacter baumannii isolates have been reported worldwide, but rarely in the United States. A California acute-care hospital (ACH) A identified 3 patients with pan-nonsusceptible A. baumannii during May–June 2020, prompting a public health investigation to prevent further transmission among the regional healthcare network. Methods: A clinical isolate was defined as NDM/OXA-23–producing A. baumannii from a patient at ACH A or B, or an epidemiologically linked patient identified through colonization screening during May 2020–January 2021. ACHs A and B are sentinel sites for carbapenem-resistant A. baumannii surveillance through the Antibiotic Resistance Laboratory Network (AR Lab Network), where isolates are tested for carbapenemase genes. The California Department of Public Health with 3 local health departments conducted an epidemiological investigation, contact tracing, colonization screening, and whole-genome sequencing (WGS). Results: In total, 11 cases were identified during May 2020–January 2021, including 3 cases at ACH A during May–June 2020, and 8 additional cases during November 2020–January 2021: 5 at ACH A, 1 at ACH B, and 2 at skilled nursing facility (SNF) A. Isolates from ACHs A and B were identified through testing at the AR Lab Network. Of the 11 patients (including the index patient), 4 had exposure at SNF A, where 2 cases were identified through colonization screening. Screening conducted at ACH A and 5 other long-term care facilities (LTCFs) identified no additional cases. WGS results for the first 8 cases identified showed 2–13 single-nucleotide polymorphism differences. Antibiotic resistance genes for all isolates sequenced included NDM-1 and OXA-23. On-site assessments related to a COVID-19 outbreak conducted at ACH A identified infection control gaps. Conclusions: Hospital participation in public health laboratory surveillance allows early detection of novel multidrug-resistant organisms (MDROs), which enabled outbreak identification and public health response. A high COVID-19 burden and related changes in infection control practices have been associated with MDRO transmission elsewhere in California. This factor might have contributed to spread at ACH A and hampered earlier screening efforts at SNF A, likely leading to undetected transmission. Extensive movement of positive patients among a regional healthcare network including at least 6 ACHs and 7 LTCFs likely contributed to the prolonged duration of this outbreak. This investigation highlights the importance of enhanced novel MDRO surveillance strategies coupled with strong infection prevention and control practices as important factors in identifying outbreaks and preventing further transmission in regional networks.Funding: NoDisclosures: None
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Dai, Yuqi, Tie Zheng, Changbin Xue, and Li Zhou. "Effective Multi-Frame Optical Detection Algorithm for GEO Space Objects." Applied Sciences 12, no. 9 (May 3, 2022): 4610. http://dx.doi.org/10.3390/app12094610.
Анотація:
The limited resource of Geostationary Earth Orbit (GEO) is precious and most telecommunication, weather and navigational satellites are placed in this orbit. In order to guarantee the safety and health of active satellites, advanced surveillance and warning of unknown space targets such as space debris are crucial. However, space object detection still remains a very challenging problem because of the weak target characteristics and complex star background. To solve this problem, we conduct a deep-learning-based framework called PP-YOLOv2 for single-frame object detection and design a post-processing algorithm named CFS for further candidate filtration and supplement. First, we transform the label information and generate the according bounding boxes to train the PP-YOLOv2 detector to extract candidate coordinates for each frame. Then, the CFS technique is designed as an effective post-processing procedure to obtain the eventual prediction results. Experiments were conducted over a dataset from the Kelvins SpotGEO challenge, which demonstrate the effectiveness and the comparable detection performance of our proposed pipeline. Finally, the deployment results on NVIDIA Jetson Nano show that the proposed method has a competitive application prospect for a space target monitoring system.
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Talisuna, Ambrose, Chinwe Iwu, J. Okeibunor, Mary Stephen, Emmanuel Onuche Musa, Belinda Louise Herring, Otim Patrick Cossy Ramadan, et al. "Assessment of COVID-19 pandemic responses in African countries: thematic synthesis of WHO intra-action review reports." BMJ Open 12, no. 5 (May 2022): e056896. http://dx.doi.org/10.1136/bmjopen-2021-056896.
Анотація:
ObjectivesWe conducted a review of intra-action review (IAR) reports of the national response to the COVID-19 pandemic in Africa. We highlight best practices and challenges and offer perspectives for the future.DesignA thematic analysis across 10 preparedness and response domains, namely, governance, leadership, and coordination; planning and monitoring; risk communication and community engagement; surveillance, rapid response, and case investigation; infection prevention and control; case management; screening and monitoring at points of entry; national laboratory system; logistics and supply chain management; and maintaining essential health services during the COVID-19 pandemic.SettingAll countries in the WHO African Region were eligible for inclusion in the study. National IAR reports submitted by March 2021 were analysed.ResultsWe retrieved IAR reports from 18 African countries. The COVID-19 pandemic response in African countries has relied on many existing response systems such as laboratory systems, surveillance systems for previous outbreaks of highly infectious diseases and a logistics management information system. These best practices were backed by strong political will. The key challenges included low public confidence in governments, inadequate adherence to infection prevention and control measures, shortages of personal protective equipment, inadequate laboratory capacity, inadequate contact tracing, poor supply chain and logistics management systems, and lack of training of key personnel at national and subnational levels.ConclusionThese findings suggest that African countries’ response to the COVID-19 pandemic was prompt and may have contributed to the lower cases and deaths in the region compared with countries in other regions. The IARs demonstrate that many technical areas still require immediate improvement to guide decisions in subsequent waves or future outbreaks.
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ACCIARI, V. A., L. IANNETTI, A. GATTUSO, M. SONNESSA, G. SCAVIA, C. MONTAGNA, N. ADDANTE, et al. "Tracing sources of Listeria contamination in traditional Italian cheese associated with a US outbreak: investigations in Italy." Epidemiology and Infection 144, no. 13 (November 2, 2015): 2719–27. http://dx.doi.org/10.1017/s095026881500254x.
Анотація:
SUMMARYIn 2012 a US multistate outbreak of listeriosis was linked to ricotta salata imported from Italy, made from pasteurized sheep's milk. Sampling activities were conducted in Italy to trace the source of Listeria monocytogenes contamination. The cheese that caused the outbreak was produced in a plant in Apulia that processed semi-finished cheeses supplied by five plants in Sardinia. During an ‘emergency sampling’, 179 (23·6%) out of 758 end-products tested positive for L. monocytogenes, with concentrations from <10 c.f.u./g to 1·1 × 106 c.f.u./g. Positive processing environment samples were found in two out of four processing plants. A ‘follow-up sampling’ was conducted 8 months later, when environmental samples from three out of six plants tested positive for L. monocytogenes and for Listeria spp. PFGE subtyping showed 100% similarity between US clinical strains and isolates from ricotta salata, confirming the origin of the outbreak. The persistence of strains in environmental niches of processing plants was demonstrated, and is probably the cause of product contamination. Two PFGE profiles from clinical cases of listeriosis in Italy in 2011, stored in the MSS-TESSy database, were found to have 100% similarity to one PFGE profile from a US clinical case associated with the consumption of ricotta salata, according to the US epidemiological investigation (sample C, pulsotype 17). However, they had 87% similarity to the only PFGE profile found both in the US clinical case and in 14 ricotta cheese samples collected during the emergency sampling (sample B, pulsotype 1). Sharing of molecular data and availability of common characterization protocols were key elements that connected the detection of the US outbreak to the investigation of the food source in Italy. Simultaneous surveillance systems at both food and human levels are a necessity for the efficient rapid discovery of the source of an outbreak of L. monocytogenes.
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Skoric, Marko M., Jia Ping Esther Chua, Meiyan Angeline Liew, Keng Hui Wong, and Pei Jue Yeo. "Online Shaming in the Asian Context: Community Empowerment or Civic Vigilantism?" Surveillance & Society 8, no. 2 (December 18, 2010): 181–99. http://dx.doi.org/10.24908/ss.v8i2.3485.
Анотація:
Online shaming is a phenomenon where citizens engage in social policing by shaming transgressions via the Internet. It has been argued that the proliferation of new communication networks and digital recording devices could bring about a new paradigm for ensuring conformity to social norms through the self-regulation of society. Incorporating literature from criminology, law, psychology, sociology, and surveillance studies, this two-part exploratory empirical study conducted in Singapore aims to give an account of why people engage in online shaming (Study 1) as well as who is likely to be deterred and who is likely to contribute content in relation to personality traits, adherence to Asian values and social responsibility (Study 2). The in-depth interviews revealed that people engage in online shaming mainly to raise awareness about the lack of civic-mindedness in society. Furthermore, a survey of 321 Singaporeans suggest that people who are more likely to be deterred by the threat of online shaming are those who more socially responsible, more agreeable, more neurotic and adhere more strongly to Asian values. Furthermore, our findings suggest that individuals who are more likely to contribute to online shaming websites tend to be more socially responsible and open to new experiences. The theoretical, technological and policy implications of the findings are discussed.
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Just, Philip Niclas, Bernd Köllner, and Matthew James Slater. "Video surveillance methods to evaluate individual feeding response in rainbow trout (Oncorhynchus mykiss, Walbaum)—implications for feeding regime optimisation." Aquaculture International 29, no. 3 (March 2, 2021): 999–1013. http://dx.doi.org/10.1007/s10499-021-00671-z.
Анотація:
AbstractPrecisely analysing and optimising feeding regimes is central to salmonid growth performance and delivery of special diets. The current study developed novel video surveillance methods and analysis techniques to assess individual feed intake and minimum pellet intake (MPI) in individually identified juvenile rainbow trout, Oncorhynchus mykiss. Three trials were conducted to test the impact of short-term starvation (N=112 [16 tanks, 7 fish per tank], average weight=27.1±3.4g, age= 119 days), portion numbers per feeding (N=105 [15 tanks, 7 fish per tank], average weight=22.8±2.1g, age= 99 days) and varied numbers of daily feeding events (N=84 [12 tanks, 7 fish per tank], average weight=32.4±3.3g, age= 133 days). All trails were carried out in a recirculating aquaculture system with 20 tanks held at 15 ± 0.5°C. All individuals were code-tagged and high quality video images were taken and analysed to identify all feeding interactions. Individual trout feeding activity under different feeding regimes could be precisely analysed with the video methods developed. Moving from one to two daily feeding events doubled pellet intake per fish from 27.4 ± 5.8 to 52.8 ± 11.5 pellets. Pellet intake (58.8 ± 24.2 pellets) did not increase at three daily feeding events but became more variable across fish. MPI nearly doubled to 30 pellets in fish receiving two daily feeding events (MPI30: chi-squared = 8.74, df = 2, p = 0.01). Short-term starvation had no influence on intake (28 ± 8 pellets/fish) or MPI. Increasing portion number from one (27.8 ± 7.4 pellets fish−1) to two (31.1 ± 7.4 pellets fish−1) or more did not significantly increase the number of ingested pellets. Adjusting the feeding regime by increasing daily feeding events to two, possibly combined with multiple portions, can increase pellet intake and reduce the heteroscedasticity of pellet intake. The methods presented in this study are viable for analysing feeding regimes for juvenile rainbow trout and controlled feedstock/supplement delivery. Implications for analyses with other species and for vaccination optimisation are discussed.
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Scherr, Thomas Foster, Jenna Maria DeSousa, Carson Paige Moore, Austin Hardcastle, and David Wilson Wright. "App Use and Usability of a Barcode-Based Digital Platform to Augment COVID-19 Contact Tracing: Postpilot Survey and Paradata Analysis." JMIR Public Health and Surveillance 7, no. 3 (March 26, 2021): e25859. http://dx.doi.org/10.2196/25859.
Анотація:
Background The COVID-19 pandemic has drastically changed life in the United States, as the country has recorded over 23 million cases and 383,000 deaths to date. In the leadup to widespread vaccine deployment, testing and surveillance are critical for detecting and stopping possible routes of transmission. Contact tracing has become an important surveillance measure to control COVID-19 in the United States, and mobile health interventions have found increased prominence in this space. Objective The aim of this study was to investigate the use and usability of MyCOVIDKey, a mobile-based web app to assist COVID-19 contact tracing efforts, during the 6-week pilot period. Methods A 6-week study was conducted on the Vanderbilt University campus in Nashville, Tennessee. The study participants, consisting primarily of graduate students, postdoctoral researchers, and faculty in the Chemistry Department at Vanderbilt University, were asked to use the MyCOVIDKey web app during the course of the study period. Paradata were collected as users engaged with the MyCOVIDKey web app. At the end of the study, all participants were asked to report on their user experience in a survey, and the results were analyzed in the context of the user paradata. Results During the pilot period, 45 users enrolled in MyCOVIDKey. An analysis of their enrollment suggests that initial recruiting efforts were effective; however, participant recruitment and engagement efforts at the midpoint of the study were less effective. App use paralleled the number of users, indicating that incentives were useful for recruiting new users to sign up but did not result in users attempting to artificially inflate their use as a result of prize offers. Times to completion of key tasks were low, indicating that the main features of the app could be used quickly. Of the 45 users, 30 provided feedback through a postpilot survey, with 26 (58%) completing it in its entirety. The MyCOVIDKey app as a whole was rated 70.0 on the System Usability Scale, indicating that it performed above the accepted threshold for usability. When the key-in and self-assessment features were examined on their own, it was found that they individually crossed the same thresholds for acceptable usability but that the key-in feature had a higher margin for improvement. Conclusions The MyCOVIDKey app was found overall to be a useful tool for COVID-19 contact tracing in a university setting. Most users suggested simple-to-implement improvements, such as replacing the web app framework with a native app format or changing the placement of the scanner within the app workflow. After these updates, this tool could be readily deployed and easily adapted to other settings across the country. The need for digital contact tracing tools is becoming increasingly apparent, particularly as COVID-19 case numbers continue to increase while more businesses begin to reopen.
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Gottlieb, Lindsey, Emilia Sordillo, Harm van Bakel, Barbara Smith, Bernard Camins, Sarah Alsamarai, Viviana Simon, and Kilyoub Kim. "Whole-Genome Sequencing: The Key to Unlocking a Nosocomial Outbreak of Coronavirus Disease 2019 (COVID-19)." Antimicrobial Stewardship & Healthcare Epidemiology 1, S1 (July 2021): s51. http://dx.doi.org/10.1017/ash.2021.98.
Анотація:
Background: Accurately tracing nosocomial transmission of coronavirus disease 2019 (COVID-19) is critical to developing effective infection prevention policies. Given the high prevalence and variable incubation period of SARS-CoV-2 infection, the utility of traditional contact tracing is limited. We describe a nosocomial outbreak in which whole-genome sequencing (WGS) was pivotal to identifying the primary case. Methods: This study was conducted at a New York City academic hospital. The index case was identified on August 13, 2020, and the last case on September 9, 2020. Hospital policy required all inpatients to be screened for COVID-19 on admission by SARS-CoV-2 molecular amplification testing. All healthcare workers (HCWs) were required to wear masks and eye protection for patient care. After a patient (patient 1), who tested SARS-CoV-2 negative on admission, was positive on preprocedure screening on hospital day 9, contact tracing was initiated. Two patients (patients 2 and 3) and 13 HCWs with high-risk exposures (HREs) to patient 1 were quarantined and referred for testing. Additional surveillance testing was performed on 18 inpatients and 84 HCWs on the affected unit. Patients 2 and 3 and 3 HCWs (HCW-1, -2, and -3), only 1 of whom had a high-risk exposure to patient 1, tested positive. WGS was performed to further investigate this outbreak. Results: The outbreak variant (clade 20A) was found in samples from 6 patients and 2 HCWs. Patients 2 and 3 were roommates of patient 1 in the 2 days before patient 1’s positive test, and they did not consistently wear masks in the room. HCW-1 placed a peripheral IV in patient 1 the day before patient 1’s positive test without wearing eye protection. Four additional cases in this cluster (patients 4–6 and HCW-4) were identified by surveillance WGS of positive tests. A review indicated that patient 1 was located ~3 m (~10 feet) away from patient 4 in the emergency department (ED) for 6 hours on hospital day 1, when the admission SARS-CoV-2 test from patient 4 was not positive. No epidemiologic link was found to patient 5 or 6 or HCW-4. The specimen from HCW-2 was inadequate for WGS. The specimen from HCW-3 was not linked to this cluster. Conclusions: This complex nosocomial outbreak highlights the importance of WGS in understanding transmission events. Patient 4 was not identified by traditional contact tracing but was linked to patient 1 and was recognized as the primary case through WGS, having likely infected patient 1 in the ED. Based on these findings, we focused our corrective actions on more promptly isolating suspected COVID-19 cases in the ED, increasing inpatient masking, and improving HCW adherence to universal eye protection.Funding: NoDisclosures: None
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Pathak, Nidhi, Sulakshana S. Baliga, and Padmaja R. Walvekar. "Awareness of ASHA workers of low endemic area regarding malaria: a qualitative analysis." International Journal Of Community Medicine And Public Health 5, no. 4 (March 23, 2018): 1452. http://dx.doi.org/10.18203/2394-6040.ijcmph20181216.
Анотація:
Background: Under the community-based approach, Accredited Social Health Activist (ASHA) is designated to address early detection, management and prevention of malaria at the community level. Majority of ASHAs in high risk areas are aptly trained for these tasks but ASHAs in many low endemic areas are insufficiently trained and hence may lack awareness about malaria and its prevention and surveillance. New operational guidelines for malaria elimination by Govt. of India has tasked ASHAs of category 1 areas like Belagavi for passive case detection and contact tracing apart from spreading health awareness about its prevention. Good knowledge and practices regarding malaria among ASHA workers is thus pertinent for efficient case detection and surveillance at grass root levels. The objective of the study was to assess the awareness of ASHA workers regarding malaria.Methods: A qualitative study was conducted from January to June 2017 using eight focus group discussions among 50 ASHA workers of rural area of Belagavi selected by purposive sampling. The responses were open ended and were recorded in same sequential manner after being translated to English from local language. Each interview transcript was read several times, and meaning units were extracted independently.Results: Findings revealed that majority of them had poor knowledge regarding collection of blood smears and none of them were aware about anti-malarials. Only half of ASHA workers were aware of vector control activities, very few were aware about anti-larval activities while less than half were aware about source reduction activities.Conclusions: The discussions highlighted a need for refresher training for effective capacity building of grassroot health workers especially in low endemic area.
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Sowmya, V., and R. Radha. "Comparative Analysis on Deep Learning Approaches for Heavy-Vehicle Detection based on Data Augmentation and Transfer-Learning techniques." Journal of Scientific Research 13, no. 3 (September 1, 2021): 809–20. http://dx.doi.org/10.3329/jsr.v13i3.52332.
Анотація:
Vehicle detection and recognition require demanding advanced computational intelligence and resources in a real-time traffic surveillance system for effective traffic management of all possible contingencies. One of the focus areas of deep intelligent systems is to facilitate vehicle detection and recognition techniques for robust traffic management of heavy vehicles. The following are such sophisticated mechanisms: Support Vector Machine (SVM), Convolutional Neural Networks (CNN), Regional Convolutional Neural Networks (R-CNN), You Only Look Once (YOLO) model, etcetera. Accordingly, it is pivotal to choose the precise algorithm for vehicle detection and recognition, which also addresses the real-time environment. In this study, a comparison of deep learning algorithms, such as the Faster R-CNN, YOLOv2, YOLOv3, and YOLOv4, are focused on diverse aspects of the features. Two entities for transport heavy vehicles, the buses and trucks, constitute detection and recognition elements in this proposed work. The mechanics of data augmentation and transfer-learning is implemented in the model; to build, execute, train, and test for detection and recognition to avoid over-fitting and improve speed and accuracy. Extensive empirical evaluation is conducted on two standard datasets such as COCO and PASCAL VOC 2007. Finally, comparative results and analyses are presented based on real-time.
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Ma, Qinmin. "Abnormal Event Detection in Videos Based on Deep Neural Networks." Scientific Programming 2021 (August 4, 2021): 1–8. http://dx.doi.org/10.1155/2021/6412608.
Анотація:
Abnormal event detection has attracted widespread attention due to its importance in video surveillance scenarios. The lack of abnormally labeled samples makes this problem more difficult to solve. A partially supervised learning method only using normal samples to train the detection model for video abnormal event detection and location is proposed. Assuming that the distribution of all normal samples complies to the Gaussian distribution, the abnormal sample will appear with a lower probability in this Gaussian distribution. The method is developed based on the variational autoencoder (VAE), through end-to-end deep learning technology, which constrains the hidden layer representation of the normal sample to a Gaussian distribution. Given the test sample, its hidden layer representation is obtained through the variational autoencoder, which represents the probability of belonging to the Gaussian distribution. It is judged abnormal or not according to the detection threshold. Based on two publicly available datasets, i.e., UCSD dataset and Avenue dataset, the experimental are conducted. The results show that the proposed method achieves 92.3% and 82.1% frame-level AUC at a speed of 571 frames per second on average, which demonstrate the effectiveness and efficiency of our framework compared with other state-of-the-art approaches.
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Younas, Muhammad, Muhammad Asif Aziz, Raja Kamran Afzal, Hamid Iqbal, Mohsin Hussain, and Rabia Salar Mir. "EFFECTIVENESS OF COMPREHENSIVE CAMPAIGN FOR DENGUE CONTROL IN SOUTHERN PUNJAB, PAKISTAN - AN EXPERIENCE OF 2 YEARS." PAFMJ 71, no. 6 (December 31, 2021): 2122–25. http://dx.doi.org/10.51253/pafmj.v71i6.6072.
Анотація:
Objective: To determine the effect of comprehensive campaign for dengue control in Southern Punjab, Pakistan.
Study Design: Cross sectional study.
Place and Duration of the Study: Station Health Organization Multan and Departments of Pathology, Combined Military Hospital Multan, from Mar 2019 to Dec 2020.
Methodology: This study was conducted by implementing a comprehensive campaign by involvement of public health workers in high risk dengue area of Multan. There were five phases of this campaign; awareness, situation analysis, vector surveillance, indoor residual sprays where vector was found and contact tracing of dengue fever cases. The system was developed in 46 Mohallas/localities of Multan. Hot spot for mosquitoes breeding were identified at 15 places. Total of 23 health workers were recruited including 3 female workers. Insecticide spraying was carried out by indoor residual spray pumps & thermal foggers in a cyclic pattern.
Results: During 2019, 42 larvae were identified followed by insecticide sprays & follow up visits; 26 cases of dengue fever were diagnosed and treated at CMH Multan in a dedicated dengue ward. Contact tracing was carried out and indoor residual sprays were carried out in 20 houses around residence of these cases. In 2020, 5 larvae were identified followed by sprays & follow up visits; 2 cases of dengue fever were diagnosed and treated.
Conclusion: Comprehensive campaign against dengue fever was quite successful to control spread of dengue fever.
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Jung, Sung-Woon, Hyuk-Ju Kwon, and Sung-Hak Lee. "Enhanced Tone Mapping Using Regional Fused GAN Training with a Gamma-Shift Dataset." Applied Sciences 11, no. 16 (August 23, 2021): 7754. http://dx.doi.org/10.3390/app11167754.
Анотація:
High-dynamic-range (HDR) imaging is a digital image processing technique that enhances an image’s visibility by modifying its color and contrast ranges. Generative adversarial networks (GANs) have proven to be potent deep learning models for HDR imaging. However, obtaining a sufficient volume of training image pairs is difficult. This problem has been solved using CycleGAN, but the result of the use of CycleGAN for converting a low-dynamic-range (LDR) image to an HDR image exhibits problematic color distortion, and the intensity of the output image only slightly changes. Therefore, we propose a GAN training optimization model for converting LDR images into HDR images. First, a gamma shift method is proposed for training the GAN model with an extended luminance range. Next, a weighted loss map trains the GAN model for tone compression in the local area of images. Then, a regional fusion training model is used to balance the training method with the regional weight map and the restoring speed of local tone training. Finally, because the generated module tends to show a good performance in bright images, mean gamma tuning is used to evaluate image luminance channels, which are then fed into modules. Tests are conducted on foggy, dark surrounding, bright surrounding, and high-contrast images. The proposed model outperforms conventional models in a comparison test. The proposed model complements the performance of an object detection model even in a real night environment. The model can be used in commercial closed-circuit television surveillance systems and the security industry.
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Martinelli, Domenico, Francesca Fortunato, Sara Mazzilli, Lucia Bisceglia, Pier Luigi Lopalco, and Rosa Prato. "Estimating the Proportion of Asymptomatic COVID-19 Cases in an Italian Region with Intermediate Incidence during the First Pandemic Wave: An Observational Retrospective Study." BioMed Research International 2022 (January 6, 2022): 1–6. http://dx.doi.org/10.1155/2022/3401566.
Анотація:
Early in the COVID-19 pandemic, asymptomatic transmission represented an important challenge for controlling the spread of SARS-CoV-2 through the traditional public health strategies. Further understanding of the contribution of asymptomatic infections to SARS-CoV-2 transmission has been of crucial importance for pandemic control. We conducted a retrospective epidemiological study to characterize asymptomatic COVID-19 cases occurred in the Apulia region, Italy, during the first epidemic wave of COVID-19 outbreak (February 29-July 7, 2020). We analyzed data collected in a regional platform developed to manage surveillance activities, namely, investigation and follow-up of cases and contacts, contact tracing, and laboratory and clinical data collection. We included all asymptomatic cases that were laboratory-confirmed during the appropriate follow-up, defined as persons infected with SARS-CoV-2 who did not develop symptoms/clinical signs of the disease. Between February 29 and July 7, 2020, a total of 4,536 cases were diagnosed with COVID-19 among 193,757 tests performed. The group of persons with asymptomatic SARS-CoV-2 infection consisted of 903 cases; the asymptomatic proportion was 19.9% (95% CI: 18.8-21.1%); this decreased with increasing age (OR: 0.89, 95% CI: 0.83-0.96; p = 0.001 ), in individuals with underlying comorbidities (OR: 0.55, 95% CI: 0.41-0.73; p < 0.001 ), and in males (OR: 0.69, 95% CI: 0.54-0.87; p = 0.002 ). The median asymptomatic SARS-CoV-2 RNA positive period was 19 days (IQR: 14-31) and the cumulative proportion of persons with resolution of infection 14 days after the first positive PCR test was 74%. As the public health community is debating the question of whether asymptomatic and late spreaders could sustain virus transmission in the communities, such cases present unique opportunities to gain insight into SARS-CoV-2 adaptation to human host. This has important implications for future COVID-19 surveillance and prevention.
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Palamini, Marie, Annick Dufour, Roxane Therrien, Jean-François Delisle, Geneviève Mercier, Sébastien Gagné, Nicolas Caron, and Jean-François Bussières. "Quantification of healthcare workers’ exposure to cyclophosphamide, ifosfamide, methotrexate, and 5-fluorouracil by 24-h urine assay: A descriptive pilot study." Journal of Oncology Pharmacy Practice 26, no. 8 (March 5, 2020): 1864–70. http://dx.doi.org/10.1177/1078155220907129.
Анотація:
Purpose The objective of this pilot study was to determine the frequency of urination and the concentration of four hazardous drugs (cyclophosphamide, ifosfamide, methotrexate, and fluorouracil) in workers’ 24-h urine samples in relation to exposure to traces with hazardous drugs. Methods The study was conducted in three healthcare centers in the region of Montréal, Quebec, Canada. We recruited healthcare workers (nurses and pharmacy technicians) assigned to the hematology-oncology department. Each participant was asked to collect all urine voided during a 24-h period, to fill out an activity journal documenting tasks performed and to document the use of personal protective equipment. Samples were analyzed for cyclophosphamide, ifosfamide, methotrexate, and alpha-fluoro-beta-alanine (FBAL, the main urinary metabolite of 5-fluorouracil). Drugs were quantified by ultra-performance liquid chromatography-tandem mass spectrometry (positive electrospray MRM mode). Results Eighteen healthcare workers (10 nurses and 8 technicians) were recruited and provided consent to participate. Urine samples were obtained between 1 September and 30 September 2019. The number of urinations over the 24-h collection period ranged from 3 to 11 per participant. A total of 128 urine samples were analyzed for the 18 workers. All urine samples were negative for the four antineoplastics tested. Conclusion No traces of cyclophosphamide, ifosfamide, methotrexate, or FBAL were found in the 24-h urine samples of 18 healthcare workers practicing in three healthcare facilities in Quebec. Although it was feasible to collect 24-h urine samples in this research project, it appears unrealistic to do so recurrently as part of a large-scale surveillance program.
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Ingram, Carolyn, Vicky Downey, Mark Roe, Yanbing Chen, Mary Archibald, Kadri-Ann Kallas, Jaspal Kumar, et al. "COVID-19 Prevention and Control Measures in Workplace Settings: A Rapid Review and Meta-Analysis." International Journal of Environmental Research and Public Health 18, no. 15 (July 24, 2021): 7847. http://dx.doi.org/10.3390/ijerph18157847.
Анотація:
Workplaces can be high-risk environments for SARS-CoV-2 outbreaks and subsequent community transmission. Identifying, understanding, and implementing effective workplace SARS-CoV-2 infection prevention and control (IPC) measures is critical to protect workers, their families, and communities. A rapid review and meta-analysis were conducted to synthesize evidence assessing the effectiveness of COVID-19 IPC measures implemented in global workplace settings through April 2021. Medline, Embase, PubMed, and Cochrane Library were searched for studies that quantitatively assessed the effectiveness of workplace COVID-19 IPC measures. The included studies comprised varying empirical designs and occupational settings. Measures of interest included surveillance measures, outbreak investigations, environmental adjustments, personal protective equipment (PPE), changes in work arrangements, and worker education. Sixty-one studies from healthcare, nursing home, meatpacking, manufacturing, and office settings were included, accounting for ~280,000 employees based in Europe, Asia, and North America. Meta-analyses showed that combined IPC measures resulted in lower employee COVID-19 positivity rates (0.2% positivity; 95% CI 0–0.4%) than single measures such as asymptomatic PCR testing (1.7%; 95% CI 0.9–2.9%) and universal masking (24%; 95% CI 3.4–55.5%). Modelling studies showed that combinations of (i) timely and widespread contact tracing and case isolation, (ii) facilitating smaller worker cohorts, and (iii) effective use of PPE can reduce workplace transmission. Comprehensive COVID-19 IPC measures incorporating swift contact tracing and case isolation, PPE, and facility zoning can effectively prevent workplace outbreaks. Masking alone should not be considered sufficient protection from SARS-CoV-2 outbreaks in the workplace.