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Статті в журналах з теми "Public health surveillance – Indiana – Statistical methods"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 1 лютого 2022

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1

Alder, S. C. "Monitoring the Health of Populations: Statistical Principles and Methods for Public Health Surveillance." American Journal of Epidemiology 161, no. 2 (2005): 205. http://dx.doi.org/10.1093/aje/kwi024.

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2

Sanner, Lindsey, Sean Grant, Heather Walter-McCabe, and Ross D. Silverman. "The Challenges of Conducting Intrastate Policy Surveillance: A Methods Note on County and City Laws in Indiana." American Journal of Public Health 111, no. 6 (2021): 1095–98. http://dx.doi.org/10.2105/ajph.2021.306227.

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Policy surveillance is critical in examining the ways law functions as a structural and social determinant of health. To date, little policy surveillance research has focused on examining intrastate variations in the structure and health impact of laws. Intrastate policy surveillance poses unique methodological challenges because of the complex legal architecture within states and inefficient curation of local laws. We discuss our experience with these intrastate policy surveillance challenges in Indiana, a state with 92 counties and several populous cities, a complicated history of home rule,

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3

Huang, Lan, Ted Guo, Jyoti N. Zalkikar, and Ram C. Tiwari. "A Review of Statistical Methods for Safety Surveillance." Therapeutic Innovation & Regulatory Science 48, no. 1 (2014): 98–108. http://dx.doi.org/10.1177/2168479013514236.

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4

Berke, Olaf. "Book Review: Monitoring the health of populations: statistical principles and methods for public health surveillance." Statistical Methods in Medical Research 15, no. 3 (2006): 301–2. http://dx.doi.org/10.1191/0962280206sm450br.

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5

Shook, Lisa M., Christina Bennett Farrell, Cami Mosley, Lori E. Crosby, and Charles T. Quinn. "Leveraging Project Echo Telementoring to Improve Sickle Cell Disease Care in the Midwest: Expanding Provider Education during a Pandemic." Blood 136, Supplement 1 (2020): 21. http://dx.doi.org/10.1182/blood-2020-140705.

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Introduction Approximately 15,000 individuals in the Midwest live with sickle cell disease (SCD), a lifelong, painful disorder with complications and comorbidities. Providers self-report limited knowledge and confidence in treating patients with SCD, leading to limited access to providers knowledgeable about evidence-based management and treatment guidelines and therefore poor health outcomes for patients. Sickle Treatment and Outcomes Research in the Midwest (STORM) is a regional sickle cell network, established to improve outcomes for individuals with SCD living in Indiana, Illinois, Michiga

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6

DiMaggio, Charles, Sandro Galea, and David Abramson. "Analyzing Postdisaster Surveillance Data: The Effect of the Statistical Method." Disaster Medicine and Public Health Preparedness 2, no. 2 (2008): 119–26. http://dx.doi.org/10.1097/dmp.0b013e31816c7475.

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ABSTRACTData from existing administrative databases and ongoing surveys or surveillance methods may prove indispensable after mass traumas as a way of providing information that may be useful to emergency planners and practitioners. The analytic approach, however, may affect exposure prevalence estimates and measures of association. We compare Bayesian hierarchical modeling methods to standard survey analytic techniques for survey data collected in the aftermath of a terrorist attack. Estimates for the prevalence of exposure to the terrorist attacks of September 11, 2001, varied by the method

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7

Okolo, Amanda, John M. Soucie, Scott D. Grosse, et al. "Surveillance of Hemophilia in Indiana: A Preliminary Report." Blood 132, Supplement 1 (2018): 3516. http://dx.doi.org/10.1182/blood-2018-99-118849.

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Abstract Background and objectives: Hemophilia is a rare heritable bleeding disorder resulting from missing or deficient levels of factor VIII or factor IX. Hemophilia related complications result in high utilization of health care resources and include severe, debilitating chronic joint disease. In 1998, Soucie et al. published the results of a six-year surveillance study investigating the incidence and prevalence of hemophilia in six U.S. states. The study also described the relationship between mortality and morbidity and each patient's primary source of hematologic care (i.e. whether each

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8

Oehmke, James Francis, Theresa B. Oehmke, Lauren Nadya Singh, and Lori Ann Post. "Dynamic Panel Estimate–Based Health Surveillance of SARS-CoV-2 Infection Rates to Inform Public Health Policy: Model Development and Validation." Journal of Medical Internet Research 22, no. 9 (2020): e20924. http://dx.doi.org/10.2196/20924.

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Background SARS-CoV-2, the novel coronavirus that causes COVID-19, is a global pandemic with higher mortality and morbidity than any other virus in the last 100 years. Without public health surveillance, policy makers cannot know where and how the disease is accelerating, decelerating, and shifting. Unfortunately, existing models of COVID-19 contagion rely on parameters such as the basic reproduction number and use static statistical methods that do not capture all the relevant dynamics needed for surveillance. Existing surveillance methods use data that are subject to significant measurement

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9

Rotejanaprasert, Chawarat, and Andrew Lawson. "Bayesian prospective detection of small area health anomalies using Kullback–Leibler divergence." Statistical Methods in Medical Research 27, no. 4 (2016): 1076–87. http://dx.doi.org/10.1177/0962280216652156.

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Early detection of unusual health events depends on the ability to rapidly detect any substantial changes in disease, thus facilitating timely public health interventions. To assist public health practitioners to make decisions, statistical methods are adopted to assess unusual events in real time. We introduce a surveillance Kullback–Leibler measure for timely detection of disease outbreaks for small area health data. The detection methods are compared with the surveillance conditional predictive ordinate within the framework of Bayesian hierarchical Poisson modeling and applied to a case stu

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10

Senterre, Christelle, Alain Levêque, Brigitte Vanthournout, and Michèle Dramaix. "472 Effect of siblings in a belgian surveillance system of child maltreatment: comparisons of several statistical methods." Injury Prevention 22, Suppl 2 (2016): A171.3—A172. http://dx.doi.org/10.1136/injuryprev-2016-042156.472.

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11

Pencheon, D. "Monitoring the Health of Populations: Statistical Principles and Methods for Public Health Surveillance. Brookmeyer and Stroup, Oxford University Press, 2004." Journal of Public Health 27, no. 1 (2005): 128. http://dx.doi.org/10.1093/pubmed/fdh209.

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12

Koolhof, Iain S., Simon M. Firestone, Silvana Bettiol, et al. "Optimising predictive modelling of Ross River virus using meteorological variables." PLOS Neglected Tropical Diseases 15, no. 3 (2021): e0009252. http://dx.doi.org/10.1371/journal.pntd.0009252.

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Background Statistical models are regularly used in the forecasting and surveillance of infectious diseases to guide public health. Variable selection assists in determining factors associated with disease transmission, however, often overlooked in this process is the evaluation and suitability of the statistical model used in forecasting disease transmission and outbreaks. Here we aim to evaluate several modelling methods to optimise predictive modelling of Ross River virus (RRV) disease notifications and outbreaks in epidemiological important regions of Victoria and Western Australia. Method

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13

Reichard, Amanda, Michelle Stransky, Kimberly Phillips, Charles Drum, and Monica McClain. "Does Type of Disability Matter to Public Health Policy and Practice?" Californian Journal of Health Promotion 13, no. 2 (2015): 25–36. http://dx.doi.org/10.32398/cjhp.v13i2.1821.

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Background: Surveillance has been insufficient to inform and evaluate public health practices for people with disabilities. No studies have investigated whether there is statistical justification for subdividing the large, heterogeneous group of people with disabilities into subpopulations, for surveillance. Methods: Pooled data from the Medical Expenditures Panel Survey (2004-2010, unweighted n=132,198) included the following disability types: physical, cognitive, visual, hearing loss, and multiple disabilities. We examined differences among the disability subgroups and the no disability grou

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14

Hilborne, Lee H., Zachary Wagner, Irineo Cabreros, and Robert H. Brook. "Linking Statistics With Testing Policy to Manage COVID-19 in the Community." American Journal of Clinical Pathology 154, no. 2 (2020): 142–48. http://dx.doi.org/10.1093/ajcp/aqaa099.

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Abstract Objectives To determine the public health surveillance severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing volume needed, both for acute infection and seroprevalence. Methods Required testing volumes were developed using standard statistical methods based on test analytical performance, disease prevalence, desired precision, and population size. Results Widespread testing for individual health management cannot address surveillance needs. The number of people who must be sampled for public health surveillance and decision making, although not trivial, is potentially i

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15

Gupta, Sumedha, Alex Cohen, Evan M. Lowder, and Bradley R. Ray. "Validating Imputation Procedures to Calculate Corrected Opioid-Involved Overdose Deaths, Marion County, Indiana, 2011-2016." Public Health Reports 135, no. 1 (2019): 124–31. http://dx.doi.org/10.1177/0033354919890022.

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Objectives: Understanding the scope of the current opioid epidemic requires accurate counts of the number of opioid-involved drug overdose deaths. Given known errors and limitations in the reporting of these deaths, several studies have used statistical methods to develop estimates of the true number of opioid-involved overdose deaths. This study validates these procedures using a detailed county-level database of linked toxicology and vital records data. Methods: We extracted and linked toxicology and vital records data from Marion County, Indiana (Indianapolis), during a 6-year period (2011-

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16

KOSMIDER, R., L. KELLY, S. EVANS, and G. GETTINBY. "A stastistical system for detecting Salmonella outbreaks in British livestock." Epidemiology and Infection 134, no. 5 (2006): 952–60. http://dx.doi.org/10.1017/s0950268806005887.

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Worldwide, early detection systems have been used in public health to aid the timely detection of increases in disease reporting that may be indicative of an outbreak. To date, their application to animal surveillance has been limited and statistical methods to analyse human health data have not been viewed as being applicable for animal health surveillance data. This issue was investigated by developing an early detection system for Salmonella disease in British livestock. We conclude that an early detection system, as for public health surveillance, can be an effective tool for enhanced surv

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17

Bregman, Brooke, and Sally Slavinski. "Using Emergency Department Data to Conduct Dog and Animal Bite Surveillance in New York City, 2003–2006." Public Health Reports 127, no. 2 (2012): 195–201. http://dx.doi.org/10.1177/003335491212700208.

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Objectives. Most animal bites in the United States are due to dogs, with approximately 4.7 million reports per year. Surveillance for dog and other animal bites requires a substantial investment of time and resources, and underreporting is common. We described the use and findings of electronic hospital emergency department (ED) chief complaint data to characterize patients and summarize trends in people treated for dog and other animal bites in New York City (NYC) EDs between 2003 and 2006. Methods. Retrospective data were obtained from the syndromic surveillance system at the NYC Department

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18

Octaria, Rany, Hannah Griffith, Matthew Estes, Caleb Wiedeman, Allison Chan, and Marion Kainer. "Comparing Automated Cluster Detection Methods for Carbapenem-Resistant Enterobacteriaceae (CRE): Rule-Based Versus Statistical." Infection Control & Hospital Epidemiology 41, S1 (2020): s27. http://dx.doi.org/10.1017/ice.2020.504.

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Background: The Tennessee (TN) Department of Health (TDH) has been identifying clusters of reportable conditions using the Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE), a cluster detection method using space-time scan permutation statistics based on patient ZIP code. CRE are reportable in Tennessee; isolate submission is required for carbapenemase (CP) production and resistance mechanism (eg, KPC gene) testing. The Council for Outbreak Response: Healthcare-Associated Infections (HAI) and Antimicrobial-Resistant (AR) Pathogens (CORHA) released pro

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19

Alaali, Zahra S., Nicole D. Longcore, Pauline Santos, Viola H. Glaze, and Nina Ahmad. "Methods of Tracking Newborns: New York State Zika Pregnancy and Infant Registry, 2015–2017." American Journal of Public Health 110, no. 2 (2020): 216–21. http://dx.doi.org/10.2105/ajph.2019.305406.

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Objectives. To describe methods employed to track infants enrolled in the New York State Zika Pregnancy and Infant Registry (NYSZPIR) and demonstrate the benefits of population databases to improve the process. Methods. We used patient medical records and provider outreach, New York State Immunization Information System (NYSIIS), and New York State Early Hearing Detection and Intervention Information System (NYEHDI-IS) to gather medical information. We used descriptive statistics to summarize variables and the McNemar test to determine statistical significance (P < .05). Results. We identif

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20

Zaitseva, N. V., Dmitry A. Kiryanov, I. V. May, P. Z. Shur, and M. Yu Tsinker. "Conceptual assignment and experience of the task solution for optimization of supervisory activities in the field of sanitary and epidemiological welfare of the population." Hygiene and sanitation 96, no. 1 (2019): 10–15. http://dx.doi.org/10.18821/0016-9900-2017-96-1-10-15.

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In the article there is considered the problem of optimization of the control and supervision activities of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing on the criterion “prevention of the economic damage”. In the process of the solution of the multi-objectives optimization the task was reduced to one-criterion, to be solved by the methods of mathematical programming. The results were obtained by the use of main criterion methods and successive concessions. The problems were solved with the help of MS Excel means, by using “Search solution” tool. Testi

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21

Kuz’min, Sergey V., Aleksandr S. Shastin, Irina V. Yatsyna, Anna V. Sukhova, and Venera G. Gazimova. "Incidence with the temporary disability according to data from both Federal Service on Customers Rights Protection and Human Well-being Surveillance (Rospotrebnadzor) and health authorities in the Russian Federation." Health Care of the Russian Federation 64, no. 6 (2020): 305–10. http://dx.doi.org/10.46563/0044-197x-2020-64-6-305-310.

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The purpose of the study was to analyze the comparability of data from the bodies of both the Federal Service on Customers Rights Protection and Human Well-being Surveillance (Rospotrebnadzor) and health authorities in terms of the incidence of the temporary disability in the constituent entities of the Russian Federation. Material and methods. Information on indices of the incidence with the temporary disability, presented in state reports “On the sanitary and epidemiological well-being of the population” of the Territorial Departments of the Federal Service for Surveillance on Consumer Right

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22

Oehmke, James Francis, Charles B. Moss, Lauren Nadya Singh, Theresa Bristol Oehmke, and Lori Ann Post. "Dynamic Panel Surveillance of COVID-19 Transmission in the United States to Inform Health Policy: Observational Statistical Study." Journal of Medical Internet Research 22, no. 10 (2020): e21955. http://dx.doi.org/10.2196/21955.

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Background The Great COVID-19 Shutdown aimed to eliminate or slow the spread of SARS-CoV-2, the virus that causes COVID-19. The United States has no national policy, leaving states to independently implement public health guidelines that are predicated on a sustained decline in COVID-19 cases. Operationalization of “sustained decline” varies by state and county. Existing models of COVID-19 transmission rely on parameters such as case estimates or R0 and are dependent on intensive data collection efforts. Static statistical models do not capture all of the relevant dynamics required to measure

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23

Neal, Joyce J., Dimitri Prybylski, Travis Sanchez, and Wolfgang Hladik. "Population Size Estimation Methods: Searching for the Holy Grail." JMIR Public Health and Surveillance 6, no. 4 (2020): e25076. http://dx.doi.org/10.2196/25076.

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Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a spe

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STELLING, J., W. K. YIH, M. GALAS, et al. "Automated use of WHONET and SaTScan to detect outbreaks of Shigella spp. using antimicrobial resistance phenotypes." Epidemiology and Infection 138, no. 6 (2009): 873–83. http://dx.doi.org/10.1017/s0950268809990884.

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SUMMARYAntimicrobial resistance is a priority emerging public health threat, and the ability to detect promptly outbreaks caused by resistant pathogens is critical for resistance containment and disease control efforts. We describe and evaluate the use of an electronic laboratory data system (WHONET) and a space–time permutation scan statistic for semi-automated disease outbreak detection. In collaboration with WHONET-Argentina, the national network for surveillance of antimicrobial resistance, we applied the system to the detection of local and regional outbreaks of Shigella spp. We searched

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25

Bassler, John R., Emily B. Levitan, Lauren Ostrenga, et al. "965. Partnering with State Health Departments: A Road Map for Collaboration Using Public Health Enhanced HIV/AIDS Reporting System (eHARS)." Open Forum Infectious Diseases 7, Supplement_1 (2020): S512—S513. http://dx.doi.org/10.1093/ofid/ofaa439.1151.

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Abstract Background Academic and public health partnerships are a critical component of the Ending the HIV Epidemic: A Plan for America (EHE). The Enhanced HIV/AIDS Reporting System (eHARS) is a standardized document-based surveillance database used by state health departments to collect and manage case reports, lab reports, and other documentation on persons living with HIV. Innovative analysis of this data can inform targeted, evidence-based interventions to achieve EHE objectives. We describe the development of a distributed data network strategy at an academic institution in partnership wi

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26

Burkom, Howard, Wayne Loschen, Richard Wojcik, et al. "Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE): Overview, Components, and Public Health Applications." JMIR Public Health and Surveillance 7, no. 6 (2021): e26303. http://dx.doi.org/10.2196/26303.

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Background The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) is a secure web-based tool that enables health care practitioners to monitor health indicators of public health importance for the detection and tracking of disease outbreaks, consequences of severe weather, and other events of concern. The ESSENCE concept began in an internally funded project at the Johns Hopkins University Applied Physics Laboratory, advanced with funding from the State of Maryland, and broadened in 1999 as a collaboration with the Walter Reed Army Institute for Re

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27

Omodior, Oghenekaro, and William D. Ramos. "Social Determinants of Health-Related Quality of Life: A Recreation Setting Analysis." Health Promotion Practice 21, no. 6 (2019): 952–61. http://dx.doi.org/10.1177/1524839919827572.

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Objective. To determine if significant differences between park users and non–park users are associated with scores on a composite health-related quality of life (HRQoL) index. Methods. Data for this study were collected based on random intercept of a cross section of eligible Monroe County, Indiana, residents at four selected public recreational parks, as well as nonpark locations from July to December 2017. Based on data collected using validated survey items, we created a composite HRQoL index. Statistical analysis included independent-samples t test, chi-square cross-tabulation, bivariate

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Vallabhaneni, Snigdha, Matthew Zahn, Erin Epson, et al. "2449. Early Detection of Candida auris is Essential to Control Spread: Four Effective Active Surveillance Strategies." Open Forum Infectious Diseases 6, Supplement_2 (2019): S846—S847. http://dx.doi.org/10.1093/ofid/ofz360.2127.

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Abstract Background C. auris has been identified from > 1600 US patients. Risk factors include high-acuity post-acute care admissions (e.g., long-term acute care hospitals (LTACHs)), hospitalization abroad, and carbapenemase-producing organism (CPO) colonization. Early detection of C. auris is key to controlling spread. We describe four active surveillance strategies that led to early C. auris identification. Methods Based on known risk factors, state health departments used active C. auris surveillance strategies: (1) species identification of yeast from urine cultures from LTACHs, (2) scr

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Lie, Rolv T., Stein E. Vollset, Beverley Botting, and Rolv Skjærven. "Statistical methods for surveillance of congenital malformations: when do the data indicate a true shift in the risk that an infant is affected by some type of malformation?" International Journal of Risk and Safety in Medicine 2, no. 5 (1991): 289–300. http://dx.doi.org/10.3233/jrs-1991-2506.

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Nguendo-Yongsi H. Blaise. "Oral health assessment of urban and rural dwellers in Bafia-Cameroon." World Journal of Biological and Pharmaceutical Research 1, no. 2 (2021): 017–28. http://dx.doi.org/10.53346/wjbpr.2021.1.2.0121.

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Background: The public health problems associated with oral health are a serious burden on countries around the world. Those problems are acute in developing countries which are hit by non-communicable chronic diseases, including oral diseases. Objectives: The purpose of this study is to assess the oral health of individuals from both urban and rural areas in Bafia, Cameroon. Materials and Methods: A commnunity and descriptive cross-sectional survey with probability sampling was used in this study. 2,840 individuals, aged 5 years and older, were selected, using a two-staged simple random sampl

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Hussain-Alkhateeb, Laith, Tatiana Rivera Ramírez, Axel Kroeger, Ernesto Gozzer, and Silvia Runge-Ranzinger. "Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review." PLOS Neglected Tropical Diseases 15, no. 9 (2021): e0009686. http://dx.doi.org/10.1371/journal.pntd.0009686.

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Background Early warning systems (EWSs) are of increasing importance in the context of outbreak-prone diseases such as chikungunya, dengue, malaria, yellow fever, and Zika. A scoping review has been undertaken for all 5 diseases to summarize existing evidence of EWS tools in terms of their structural and statistical designs, feasibility of integration and implementation into national surveillance programs, and the users’ perspective of their applications. Methods Data were extracted from Cochrane Database of Systematic Reviews (CDSR), Google Scholar, Latin American and Caribbean Health Science

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Lins-Candeiro, Caio Luiz, Karen Katlein Dolenkei, Luiz Renato Paranhos, Douglas Queiroz Santos, Jaime Aparecido Cury, and Juliana Pereira da Silva Faquim. "Monitoring of fluoride in the public water supply using electrometric or colorimetric analyses." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 15, no. 6 (2020): 1. http://dx.doi.org/10.4136/ambi-agua.2603.

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The surveillance of the concentration of fluoride in the public water supply aims to ensure the balance between the benefits (carie prevention) and risk (dental fluorosis) of water fluoridation programs. The aim of this study was to check the accuracy of two analytical methods for monitoring the concentration of fluoride in the public water supply of a Brazilian city. The STROBE checklist was used to aid the conduction of this study and report the results. It was an analytical, observational, and prospective study using the water supply of Uberlândia, MG, Brazil. We collected 126 water samples

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Medenica, Sanja, Svetlana Jovanovic, Ivan Dozic, Biljana Milicic, Novak Lakicevic, and Bozidarka Rakocevic. "Epidemiological surveillance of Leishmaniasis in Montenegro, 1992-2013." Srpski arhiv za celokupno lekarstvo 143, no. 11-12 (2015): 707–11. http://dx.doi.org/10.2298/sarh1512707m.

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Introduction. The diseases caused by Leishmania are spread worldwide and represent a significant public health problem. Objective. The aim of this study was to present the results of epidemiological surveillance of leishmaniasis in humans in Montenegro in the period from 1992 to 2013. Methods. The study was planned and realized as a descriptive epidemiological study. The sample included patients of leishmaniasis in Montenegro in the period from 1992 to 2013. The health and demographic data were collected from medical records. The disease was microbiologically proven in the patients. For statis

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Berdnyk, O. V., O. V. Voloshchuk, O. V. Dobrianska, and T. P. Skochko. "SUBSTANTIATION OF NCD MORBIDITY’ INDICATORS FOR DETECTION OF THE INFLUENCE ON HEALTH DETERMINANTS IN EPIDEMIOLOGICAL SURVEILLANCE SYSTEM." Hygiene of populated places 2020, no. 70 (2020): 134–40. http://dx.doi.org/10.32402/hygiene2020.70.134.

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Objective. The objective was to study the formation of a list of NSD morbidity’ indicators informative for detection of the influence on health determinants. Materials and methods. The study was performed in several stages which were different in scale, objectives of study, methods of information processing. The first stage involved the analysis of information at the large area units’ level (in particular, regions). The second stage involved detailed resulting features, in particular, the definition of the informative indicators of the detection of influence on morbidity’ indicators. At the th

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Esaulenko, I. E., Tatyana N. Petrova, O. I. Gubina, A. Yu Goncharov, and Yu V. Tatarkova. "THE ROLE OF SOCIO-HYGIENIC FACTORS IN THE DEVELOPMENT OF DISEASES OF THE ORGANS OF VISION IN MEDICAL STUDENTS AND THE POSSIBILITY OF THEIR PREVENTION." Hygiene and sanitation 97, no. 8 (2018): 750–55. http://dx.doi.org/10.18821/0016-9900-2018-97-8-750-755.

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The purpose of this study was to investigate the status and main trends of the prevalence of diseases of the eye and its appendages in medical university students with the detection of priority risk factors of the educational environment. Materials and methods. The method of investigation included several stages. The general population was analyzed (official statistical data of the ophthalmologic service of the Voronezh Region Health Department (statistical forms No. 12, 14, 14 SD, 30)), and selective studies were conducted (based on the copying and analysis of data from outpatient charts and

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Zlot, Amy I., and Tom L. Schmid. "Relationships among Community Characteristics and Walking and Bicycling for Transportation or Recreation." American Journal of Health Promotion 19, no. 4 (2005): 314–17. http://dx.doi.org/10.4278/0890-1171-19.4.314.

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Purpose. Compare walking and bicycling for transportation and recreation with the percentage of the community devoted to parklands. Methods. Behavioral Risk Factor Surveillance System (N = 206,992), Nationwide Personal Transportation Survey (N = 409,025), and Trust for Public Land (N = 55) data were used to estimate recreational walking and bicycling, utilitarian walking and bicycling, and parkland as a percentage of city acreage. Data were linked at the metropolitan statistical area or city level (N = 34). Pearson correlation coefficients were used to assess the associations among recreationa

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Zhang, Rong, Zhiyuan Mao, Jun Yang, et al. "The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data." PLOS Neglected Tropical Diseases 15, no. 8 (2021): e0009673. http://dx.doi.org/10.1371/journal.pntd.0009673.

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Background Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantavirus which was endemic Zhejiang Province, China. In this study, we aim to explore the changing epidemiology of HFRS in Zhejiang, identify high-risk areas and populations, and evaluate relevant policies and interventions to better improve HFRS control and prevention. Methods Surveillance data on HFRS during 1963–2020 in Zhejiang Province were extracted from Zhejiang Provincial Center for Disease Control and Prevention archives and the Chinese Notifiable Disease Reporting System. The changing epidem

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Papicheva, M. A., and I. I. Yakushina. "Epidemiological Analysis of the Frequency of Acute Respiratory Diseases and Diseases of the Circulatory System Using Medical Information Technologies." Epidemiology and Vaccinal Prevention 20, no. 3 (2021): 45–52. http://dx.doi.org/10.31631/2073-3046-2021-20-3-45-52.

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Relevance. Acute respiratory diseases (ARD) refer to mass infectious diseases, cause significant economic damage by provoking the development of diseases of the circulatory system, and the seasonal incidence of ARI is a predictor of mortality from cardiovascular diseases, which requires timely statistical accounting using the medical information system (MIS).The aim of the study was to quantitatively assess the risk of exposure to ARIs on the occurrence of diseases of the circulatory system using statistical data processing using MIS.Materials and methods. The epidemiological study was carried

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DANAN, C., T. BAROUKH, F. MOURY, N. JOURDAN-DA SILVA, A. BRISABOIS, and Y. LE STRAT. "Automated early warning system for the surveillance of Salmonella isolated in the agro-food chain in France." Epidemiology and Infection 139, no. 5 (2010): 736–41. http://dx.doi.org/10.1017/s0950268810001469.

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SUMMARYNon-typhic Salmonella is one of the major bacterial pathogens that cause foodborne infections as well as economic losses for the food production industry. There is therefore a need to improve early detection to prevent the emergence and spread of Salmonella within the agro-food chain. The passive laboratory-based surveillance system of the Salmonella network has been integrated into the French Food Safety Agency's working plan. The objective of this study was to evaluate the ability of this network to detect unusual Salmonella contamination as early as possible in the agro-food chain. T

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CAPRARELLI, GRAZIELLA, and STEPHANIE FLETCHER. "A brief review of spatial analysis concepts and tools used for mapping, containment and risk modelling of infectious diseases and other illnesses." Parasitology 141, no. 5 (2013): 581–601. http://dx.doi.org/10.1017/s0031182013001972.

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SUMMARYFast response and decision making about containment, management, eradication and prevention of diseases, are increasingly important aspects of the work of public health officers and medical providers. Diseases and the agents causing them are spatially and temporally distributed, and effective countermeasures rely on methods that can timely locate the foci of infection, predict the distribution of illnesses and their causes, and evaluate the likelihood of epidemics. These methods require the use of large datasets from ecology, microbiology, health and environmental geography. Geodatabase

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Japheth Omondi, Athanasio, Otieno George Ochienga, Eliud Kayo, Alison Yoos, and Muli Rafael Kavilo. "Assessment of Integrated Disease Surveillance Data Uptake in Community Health Systems within Nairobi County, Kenya." East African Health Research Journal 4, no. 2 (2020): 194–99. http://dx.doi.org/10.24248/eahrj.v4i2.644.

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Background: Kenya has since independence struggled to restructure its health system to provide services to its entire population especially in outbreak responses. The last decade has seen the country witness disease outbreaks across the country i.e. Rift Valley fever in June 2018, and Chikungunya and Dengue fever in Mombasa in February 2018. This exposed the country’s lack of preparedness in handling outbreaks at grass root level. Outbreak incidences tend to prevail at community level before a public health action is established, with the situation becoming dire in the lower tier health facili

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Zondi, Mthobisi Mxolisi, Henry G. Mwambi, and Sileshi Fanta Melesse. "Spatial Modelling of Under-five Mortality in Lesotho with Reference to 2014 Demographic and Health Surveillance Dataset." Open Public Health Journal 13, no. 1 (2020): 289–97. http://dx.doi.org/10.2174/1874944502013010289.

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Background: Lesotho is the country located in the Sub-Saharan region of Africa countries where under-five mortality (U5M) is still a big issue due to some significant social and demographic risk factors. Hence, the investigation of some social and demographic factors that are associated with the U5M, is a critical problem that needs due consideration. Methods: This study used the 2014 Lesotho Demographic and Health Survey (LDHS) that had a sample of over 9000 representative households. Individually, data consisting of a nationally representative sample of 9,543 households in the 2014 Lesotho D

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Eric, Chinaeke, Gwynn Melanie, Hong Yuan, Zhang Jiajia, and Olatosi Bankole. "The positive association between employment and self-reported mental health in the USA: a robust application of marginalized zero-inflated negative binomial regression (MZINB)." Journal of Public Health 42, no. 2 (2020): 340–52. http://dx.doi.org/10.1093/pubmed/fdaa030.

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Abstract Background Few studies have assessed the impact of employment on mental health among chronically ill patients. This study investigated the association between employment and self-reported mental unhealthy days among US adults. Methods For this cross-sectional cohort study, we pooled 2011–2017 Behavioral Risk Factor Surveillance System (BRFSS) survey data. We examined the association between employment and mental health in nine self-reported chronic conditions using marginalized zero-inflated negative binomial regression (MZINB). All analyses were conducted using SAS statistical softwa

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Ferreira, Aline Chimello, Francisco Chiaravalloti Neto, and Adriano Mondini. "Dengue in Araraquara, state of São Paulo: epidemiology, climate and Aedes aegypti infestation." Revista de Saúde Pública 52 (February 26, 2018): 18. http://dx.doi.org/10.11606/s1518-8787.2018052000414.

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OBJECTIVE: To describe the epidemiology of dengue in a medium-sized city in the state of São Paulo. METHODS: Data, such as circulating serotypes, severe cases and deaths, age group, sex, among others, were obtained on reported and confirmed dengue cases in Araraquara, state of São Paulo, between 1991 and 2015. Climatic and infestation data were also analyzed. These variables were evaluated descriptively, using statistical measures such as frequencies, averages, minimum and maximum. Dengue incidence rates were calculated according to month, year, age and sex, and time series of dengue cases, in

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Krieck, M., L. Otrusina, P. Smrz, et al. "How to Exploit Twitter for Public Health Monitoring?" Methods of Information in Medicine 52, no. 04 (2013): 326–39. http://dx.doi.org/10.3414/me12-02-0010.

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SummaryObjectives: Detecting hints to public health threats as early as possible is crucial to prevent harm from the population. However, many disease surveillance strategies rely upon data whose collection requires explicit reporting (data transmitted from hospitals, laboratories or physicians). Collecting reports takes time so that the reaction time grows. Moreover, context information on individual cases is often lost in the collection process. This paper describes a system that tries to address these limitations by processing social media for identifying information on public health threat

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Gottschalk, Sophie, Hans-Helmut König, and Christian Brettschneider. "The association between informal caregiving and behavioral risk factors: a cross-sectional study." International Journal of Public Health 65, no. 6 (2020): 911–21. http://dx.doi.org/10.1007/s00038-020-01402-6.

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Abstract Objectives This study aimed to compare informal caregivers/dementia caregivers to non-caregivers regarding alcohol consumption, smoking behavior, obesity, and insufficient physical activity and to identify caregiving-related factors (caregiving intensity, length of caregiving, relationship to the care recipient, and type of caregiving task) which are associated with behavioral risk factors in caregivers/dementia caregivers. Methods Using cross-sectional data from the Behavioral Risk Factor Surveillance System, we performed the statistical analyses applying logistic regression models a

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Roth, Alexis M., Nguyen K. Tran, Brogan L. Piecara, Jennifer Shinefeld, and Kathleen A. Brady. "Pre-Exposure Prophylaxis (PrEP) Awareness Is Low Among Heterosexual People of Color Who Might Benefit From PrEP in Philadelphia." Journal of Primary Care & Community Health 10 (January 2019): 215013271984738. http://dx.doi.org/10.1177/2150132719847383.

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Introduction: We assessed awareness of pre-exposure prophylaxis (PrEP) among HIV-negative Black and Latinx persons living in the Philadelphia Metropolitan Statistical Area. Methods: Using chi-square and Wilcoxon rank-sum tests, we analyzed data from the 2016 heterosexual cycle of the National HIV Behavioral Surveillance system to assess how sociodemographic factors, health care utilization, and risk behaviors affected PrEP awareness. Results: Participants (n = 472) were predominately Black, non-Hispanic (88.1%) with a median age of 41.5 years. Most participants reported having a usual source o

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McFarlane, Timothy D., Brian E. Dixon, and P. Joseph Gibson. "Using Electronic Health Records for Public Health Hypertension Surveillance." Online Journal of Public Health Informatics 10, no. 1 (2018). http://dx.doi.org/10.5210/ojphi.v10i1.8992.

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ObjectiveTo assess the equivalence of hypertension prevalence estimates between longitudinal electronic health record (EHR) data from a community-based health information exchange (HIE) and the Behavioral Risk Factor Surveillance System (BRFSS).IntroductionHypertension (HTN) is a highly prevalent chronic condition and strongly associated with morbidity and mortality. HTN is amenable to prevention and control through public and population health programs and policies. Therefore, public and population health programs require accurate, stable estimates of disease prevalence, and estimating HTN pr

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Dong, Z., and S. W. Pan. "Obesity Prevalence in Alabama: Trends from 2011 to 2017 and Evaluation of a State Obesity Program." European Journal of Public Health 29, Supplement_4 (2019). http://dx.doi.org/10.1093/eurpub/ckz186.462.

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Abstract Background Alabama, one of the southeastern states in the US, suffers from a heavy burden of obesity. In 2014, Alabama launched a state program named ’ALProHealth’, aiming to prevent and reduce obesity prevalence. The objective of this study is to evaluate the potential impact of the ALProHealth Program on the prevalence of obesity in Alabama from 2014 to 2017. Methods Data for this study come from the Behavioral Risk Factor Surveillance System (BRFSS). An interrupted time series design was employed. The state obesity prevalence trend for the pre-program period (2011-2014) was estimat

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Anderson, Kristina R., Jordan Blekking, and Oghenekaro Omodior. "Tick trails: the role of online recreational trail reviews in identifying risk factors and behavioral recommendations associated with tick encounters in Indiana." BMC Public Health 21, no. 1 (2021). http://dx.doi.org/10.1186/s12889-021-10940-4.

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Abstract Background Recreational trails abound across the United States and represent high risk areas for tick exposure. Although online reviews represent a rich source of user information, they have rarely been used in determining the risk of tick exposure during recreational trail use. Based on online user reviews and comments, the purpose of this study was to determine risk factors and behavioral recommendations associated with tick encounters (Tick Presence) on recreational trails in the state of Indiana, U.S. Methods We reviewed 26,016 user comments left on AllTrails.com for 697 Indiana t

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