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Journal articles on the topic 'Incident data'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Wen, Tao, Adriana-Simona Mihăiţă, Hoang Nguyen, Chen Cai, and Fang Chen. "Integrated Incident Decision-Support using Traffic Simulation and Data-Driven Models." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 42 (2018): 247–56. http://dx.doi.org/10.1177/0361198118782270.

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This paper introduces the framework of an innovative incident management platform with the main objective of providing decision-support and situation awareness for transport management purposes on a real-time basis. The logic of the platform is to detect and then classify incidents into two types: recurrent and non-recurrent, based on their frequency and characteristics. Under this logic, recurrent incidents trigger the data-driven machine learning module which can predict and analyze the incident impact, in order to facilitate informed decisions for transport management operators. Non-recurre

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Skabardonis, Alexander, Karl F. Petty, Robert L. Bertini, Pravin P. Varaiya, Hisham Noeimi, and Daniel Rydzewski. "I-880 Field Experiment: Analysis of Incident Data." Transportation Research Record: Journal of the Transportation Research Board 1603, no. 1 (1997): 72–79. http://dx.doi.org/10.3141/1603-10.

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The I-880 field experiment has produced one of the largest data bases on incidents and freeway traffic-flow characteristics ever compiled. Field data on incidents were collected through observations of probe-vehicle drivers before and after the implementation of freeway service patrols (FSPs) over a freeway section. Supplementary information was collected from the California Highway Patrol’s computer-aided dispatch system, FSPs, and tow-truck company logs. The incident patterns are described and the major factors affecting incident frequency and duration are identified. FSPs significantly redu

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Leggett, David, and Jasbir Singh. "Process improvements from incident data." Process Safety Progress 19, no. 1 (2000): 13–18. http://dx.doi.org/10.1002/prs.680190106.

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Webb, R. K., M. Currie, C. A. Morgan, et al. "The Australian Incident Monitoring Study: An Analysis of 2000 Incident Reports." Anaesthesia and Intensive Care 21, no. 5 (1993): 520–28. http://dx.doi.org/10.1177/0310057x9302100507.

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The Australian Patient Safety Foundation was formed in 1987; it was decided to set up and co-ordinate the Australian Incident Monitoring Study as a function of this Foundation; 90 hospitals and practices joined the study. Participating anaesthetists were invited to report, on an anonymous and voluntary basis, any unintended incident which reduced, or could have reduced, the safety margin for a patient. Any incident could be reported, not only those which were deemed “preventable” or were thought to involve human error. The Mark I AIMS form was developed which incorporated features and concepts

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Castillo, José C., and H. Rex Hartson. "Critical Incident Data and Their Importance in Remote Usability Evaluation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 37 (2000): 590–93. http://dx.doi.org/10.1177/154193120004403712.

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Although lab-based formative evaluation is effective for improving usability of user interfaces, it has limitations. Since most software has a life cycle extending well beyond the first release, the need for usability improvement does not end with deployment. To capture post-deployment usability data, we created the user-reported critical incident method, a method for remote, contemporaneous reporting of critical incidents by users for usability improvement. This method provides us with contextualized critical incident data - critical incident reports plus video and/or textual description of t

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Rizvi, Syed Muzammil Abbas, Afzal Ahmed, and Yongjun Shen. "Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data." Journal of Advanced Transportation 2020 (October 6, 2020): 1–14. http://dx.doi.org/10.1155/2020/8857502.

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Given the fact that the existing literature lacks the real-time estimation of road capacity and incident location using data from inductance loop detectors, a data-driven framework is proposed in this study for real-time incident detection, as well as road capacity and incident location estimation. The proposed algorithm for incident detection is developed based on the variation in traffic flow parameters acquired from inductance loop detectors. Threshold values of speed and occupancy are determined for incident detection based on the PeMS database. The detection of the incident is followed by

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Rompis, Semuel Y. R., and Filmon G. Habtemichael. "Calibration of Traffic Incident Simulation Models Using Field Data." International Journal of Sustainable Transportation Technology 2, no. 1 (2019): 19–26. http://dx.doi.org/10.31427/ijstt.2019.2.1.3.

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This study presents a methodology to calibrate a traffic incident simulation model, particularly in a freeway. The queue length was used as the objective of the simulation model calibration in this study. The simulation model was set up using Traffic Simulation Model PTV. VISSIM. Multiple incident durations were simulated, and the generated queue lengths were compared to the observed queue lengths. The observed queue lengths were estimated using the LWR model and shockwave speeds calculated using the field data. The results confirm that calibrated VISSIM incident model can signify the shockwav

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Cohen, Lionel, Timothy E. Schultheiss, and Ralph C. Kennaugh. "A radiation overdose incident: Initial data." International Journal of Radiation Oncology*Biology*Physics 33, no. 1 (1995): 217–24. http://dx.doi.org/10.1016/0360-3016(95)00089-h.

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9

Javaid, Muhammad Adeel. "Incident Response Planning for Data Protection." Computer Science and Information Technology 2, no. 6 (2014): 268–80. http://dx.doi.org/10.13189/csit.2014.020602.

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10

Dileep, Deepu, Soumya Rudraraju, and V. V. HaraGopal. "Topic Modelling on Pharmaceutical Incident Data." European Journal of Mathematics and Statistics 2, no. 3 (2021): 92–96. http://dx.doi.org/10.24018/ejmath.2021.2.3.33.

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Focus of the current study is to explore and analyse textual data in the form of incidents in pharmaceutical industry using topic modelling. Topic modelling applied in the current study is based on Latent Dirichlet Allocation. The proposed model is applied on a corpus containing 190 incidents to retrieve key words with highest probability of occurrence. It is used to form informative topics related to incidents.

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Campbell, Andrew M., Ralph A. Hicks, Shannon L. Thompson, and Sarah E. Wiehe. "Characteristics of Intimate Partner Violence Incidents and the Environments in Which They Occur: Victim Reports to Responding Law Enforcement Officers." Journal of Interpersonal Violence 35, no. 13-14 (2017): 2583–606. http://dx.doi.org/10.1177/0886260517704230.

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The objectives of this study were to identify intimate partner violence (IPV) incidence rates, to quantify specific risks and characteristics of these incidents and the environments in which they occur, to identify how often children are present for or injured during these incidents, and to identify differences in victim reports of IPV to law enforcement officers at the scene of the incident compared with previously published reports of IPV from retropsective, anonymous surveys and domestic violence shelter interviews. Data gathered by responding law enforcement officers at the scene of the IP

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12

Tirtha, Sudipta Dey, Shamsunnahar Yasmin, and Naveen Eluru. "Modeling of incident type and incident duration using data from multiple years." Analytic Methods in Accident Research 28 (December 2020): 100132. http://dx.doi.org/10.1016/j.amar.2020.100132.

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13

Kurkcu, Abdullah, Ender Faruk Morgul, and Kaan Ozbay. "Extended Implementation Method for Virtual Sensors: Web-Based Real-Time Transportation Data Collection and Analysis for Incident Management." Transportation Research Record: Journal of the Transportation Research Board 2528, no. 1 (2015): 27–37. http://dx.doi.org/10.3141/2528-04.

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Open data sources and social media data are gaining increasing attention as important information providers in transportation and incident management. In this paper, practical evidence for the emerging potential of online and open data sources is presented. The authors’ previous research on virtual sensors is combined and extended by integrating real-time incident information and social media network engagement. The fundamental contribution of this paper is the development of an extended virtual sensor framework to provide an automated travel time data collection method as incidents occur. In

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Carcaillon-Bentata, Laure, Cécile Quintin, Marjorie Boussac-Zarebska, and Alexis Elbaz. "Prevalence and incidence of young onset dementia and associations with comorbidities: A study of data from the French national health data system." PLOS Medicine 18, no. 9 (2021): e1003801. http://dx.doi.org/10.1371/journal.pmed.1003801.

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Background Dementia onset in those aged <65 years (young onset dementia, YOD) has dramatic individual and societal consequences. In the context of population aging, data on YOD are of major importance to anticipate needs for planning and allocation of health and social resources. Few studies have provided precise frequency estimates of YOD. The aim of this study is to provide YOD prevalence and incidence estimates in France and to study the contribution of comorbidities to YOD incidence. Methods and findings Using data from the French national health data system (Système National des Donnée

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Rydberg, Jason, Rebecca Stone, and Edmund F. McGarrell. "Utilizing Incident-Based Crime Data to Inform Strategic Interventions." Justice Research and Policy 17, no. 1 (2016): 3–27. http://dx.doi.org/10.1177/1525107116674925.

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A public health approach to violence prevention involves the empirical identification of groups and communities at the highest risk for violence to inform targeted interventions. We demonstrate the utility of complete incident-level crime data toward this end. Data for 32,056 unique incidents involving homicide, aggravated assault, and robbery were extracted from the 2013 Michigan Incident Crime Reporting system, a statewide National Incident-Based Reporting System (NIBRS) data system. Differential victimization rates were calculated across demographic subgroups and jurisdictions to identify p

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Wongsuphasawat, Krist, Michael L. Pack, Darya Filippova, Michael VanDaniker, and Andreea Olea. "Visual Analytics for Transportation Incident Data Sets." Transportation Research Record: Journal of the Transportation Research Board 2138, no. 1 (2009): 135–45. http://dx.doi.org/10.3141/2138-18.

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Sato, Takaaki, Masaomi Kimura, Michiko Ohkura, and Fumito Tsuchiya. "Analysis on Incident Data in Pharmacies (II)." Procedia Technology 17 (2014): 749–55. http://dx.doi.org/10.1016/j.protcy.2014.10.190.

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18

Chan, Kwun Chuen Gary, and Mei-Cheng Wang. "Estimating Incident Population Distribution from Prevalent Data." Biometrics 68, no. 2 (2012): 521–31. http://dx.doi.org/10.1111/j.1541-0420.2011.01708.x.

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19

Sun, Nan, Jun Zhang, Paul Rimba, Shang Gao, Leo Yu Zhang, and Yang Xiang. "Data-Driven Cybersecurity Incident Prediction: A Survey." IEEE Communications Surveys & Tutorials 21, no. 2 (2019): 1744–72. http://dx.doi.org/10.1109/comst.2018.2885561.

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20

Nakata, Toru. "Extracting typical incident patterns from text data." International Journal of Human Factors Modelling and Simulation 6, no. 2/3 (2018): 127. http://dx.doi.org/10.1504/ijhfms.2018.093177.

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Nakata, Toru. "Extracting typical incident patterns from text data." International Journal of Human Factors Modelling and Simulation 6, no. 2/3 (2018): 127. http://dx.doi.org/10.1504/ijhfms.2018.10014212.

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De Valck, Eddy. "Major incident response: Collecting ante-mortem data." Forensic Science International 159 (May 2006): S15—S19. http://dx.doi.org/10.1016/j.forsciint.2006.02.004.

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23

Casey, Nigel. "Fire incident data for Australian road tunnels." Fire Safety Journal 111 (January 2020): 102909. http://dx.doi.org/10.1016/j.firesaf.2019.102909.

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24

Anand, Sumit, Nir Keren, Marietta J. Tretter, Yanjun Wang, T. Michael O’Connor, and M. Sam Mannan. "Harnessing data mining to explore incident databases." Journal of Hazardous Materials 130, no. 1-2 (2006): 33–41. http://dx.doi.org/10.1016/j.jhazmat.2005.07.046.

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25

Pal, Raktim, Steven P. Latoski, and Kumares C. Sinha. "Investigation of Freeway Incident Characteristics and Their Influence in Planning an Incident Management Program." Transportation Research Record: Journal of the Transportation Research Board 1634, no. 1 (1998): 46–55. http://dx.doi.org/10.3141/1634-06.

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Nonrecurrent congestion caused by highway incidents is a major concern for transportation agencies and millions of road users in most metropolitan areas in the United States. Incidents account for 60 percent of congestion-induced delay. As a low-cost approach to incident management, freeway service patrol programs have gained wide popularity. However, information on freeway incident characteristics is limited. In the current paper, incident data recorded by the Hoosier Helper program in north-west Indiana is analyzed. The distributions of incident frequency and clearance time by incident type

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26

Tender, Emmanuel, Stephen Atasige, Delia Bandoh, et al. "Progress towards eliminating tuberculosis in Ga West Municipality, Ghana: analysis of tuberculosis surveillance data, 2017." Ghana Medical Journal 54, no. 2 (2020): 26–31. http://dx.doi.org/10.4314/gmj.v54i2s.5.

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Objective: To assess the progress made towards the actualization of the 80% reduction in incident cases, monitor trends and to assess the quality of GWM TB surveillance data from 2012 to 2016.Design: The study was descriptive secondary data analysisData Source: Tuberculosis cases recorded in the District Health Information Management Systems (DHIMS) and municipal TB registers. The Municipal TB Coordinator was interviewed for clarification on the data. A TB patient was defined as one who coughed persistently for two weeks or more.Main outcome measure: Trend of TB cases in Ga West MunicipalityRe

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27

Kim, Dongmin, Pil-Sung Yang, Hee Tae Yu, et al. "Risk of dementia in stroke-free patients diagnosed with atrial fibrillation: data from a population-based cohort." European Heart Journal 40, no. 28 (2019): 2313–23. http://dx.doi.org/10.1093/eurheartj/ehz386.

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AbstractAimsAtrial fibrillation (AF) is generally regarded as a risk factor for dementia, though longitudinal studies assessing the association between AF and dementia have shown inconsistent results. This study aimed to determine the effect of AF on the risk of developing dementia using a longitudinal, community-based, and stroke-free elderly cohort.Methods and resultsThe association of incident AF with the development of incident dementia was assessed from 2005 to 2012 in 262 611 dementia- and stroke-free participants aged ≥60 years in the Korea National Health Insurance Service-Senior cohor

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Armitage, Gerry, Sally Moore, Caroline Reynolds, et al. "Patient-reported safety incidents as a new source of patient safety data: an exploratory comparative study in an acute hospital in England." Journal of Health Services Research & Policy 23, no. 1 (2017): 36–43. http://dx.doi.org/10.1177/1355819617727563.

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Objectives To compare a new co-designed, patient incident reporting tool with three established methods of detecting patient safety incidents and identify if the same incidents are recorded across methods. Method Trained research staff collected data from inpatients in nine wards in one university teaching hospital during their stay. Those classified as patient safety incidents were retained. We then searched for patient safety incidents in the corresponding patient case notes, staff incident reports and reports to the Patient Advice and Liaison Service specific to the study wards. Results In

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Goodall, Noah J. "Probability of Secondary Crash Occurrence on Freeways with the Use of Private-Sector Speed Data." Transportation Research Record: Journal of the Transportation Research Board 2635, no. 1 (2017): 11–18. http://dx.doi.org/10.3141/2635-02.

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A percentage of crashes on freeways are suspected to be caused in part by congestion or distraction from earlier incidents. Identification and prevention of these secondary crashes are major goals of transportation agencies, yet the characteristics of secondary crashes—in particular the probability of their occurrence—are poorly understood. Many secondary crashes occur when a vehicle encounters nonrecurring congestion, yet previous efforts to identify incident queues and their secondary crashes have relied either on deterministic queuing theory or on data from uniformly spaced dense loop detec

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Konduri, Sravanthi, Samuel Labi, and Kumares C. Sinha. "Incident Occurrence Models for Freeway Incident Management." Transportation Research Record: Journal of the Transportation Research Board 1856, no. 1 (2003): 125–35. http://dx.doi.org/10.3141/1856-13.

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Incident prediction models are presented for the Interstate 80/Interstate 94 (Borman Expressway in northwestern Indiana) and Interstate 465 (northeastern Indianapolis, Indiana) freeway sections developed as a function of traffic volume, truck percentage, and weather. Separate models were developed for all incidents and noncrash incidents. Three model types were considered (Poisson regression, negative binomial regression, and nonlinear regression), and the results were compared based on magnitudes and signs of model parameter estimates and t-statistics. Least-squares estimation and maximum-lik

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Drury, C. G., K. Woodcock, I. Richards, A. Sarac, and K. Shyhalla. "A New Model of how People Investigate Incidents." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 13 (2002): 1210–14. http://dx.doi.org/10.1177/154193120204601343.

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We used a simulation methodology to provide a direct measurement of how incidents and accidents are investigated. Thirty-seven aviation maintenance personnel with incident investigation experience investigated are six incident scenarios that we developed from actual maintenance incidents. Using a methodology developed by Woodcock and Smiley (1999), participants were given a brief incident description and had to question the experimenter to determine how the incident happened. We counted the number and types of information requests, and recorded their sequence. Based on the sequence data we pro

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Skabardonis, Alexander, Karl Petty, Hisham Noeimi, Daniel Rydzewski, and Pravin P. Varaiya. "I-880 Field Experiment: Data-Base Development and Incident Delay Estimation Procedures." Transportation Research Record: Journal of the Transportation Research Board 1554, no. 1 (1996): 204–12. http://dx.doi.org/10.1177/0361198196155400124.

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The collection and processing of field data on freeway incidents and operating conditions are described, and the development and application of a methodology for estimating incident delays are presented. The data were collected on a section of the I-880 freeway in the San Francisco Bay Area before and after the implementation of freeway service patrols (FSPs). Incident characteristics were obtained through observations of probe vehicle drivers traveling at an average of 7-min headways. Travel times were obtained from the specially instrumented probe vehicles. Speeds, flows, and occupancies at

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Welch, Jeff, and Faith Yando. "WORLDWIDE OIL SPILL INCIDENT DATA BASE: RECENT TRENDS." International Oil Spill Conference Proceedings 1993, no. 1 (1993): 811–14. http://dx.doi.org/10.7901/2169-3358-1993-1-811.

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Wang, Liang, Yaohua Wang, Xiaoqiang Yang, et al. "Coding ATC Incident Data Using HFACS: Intercoder Consensus." International Journal of Quality, Statistics, and Reliability 2011 (November 20, 2011): 1–8. http://dx.doi.org/10.1155/2011/379129.

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Reliability studies for coding contributing factors of incident reports in high hazard industries are rarely conducted and reported. Although the Human Factors Analysis and Classification System (HFACS) appears to have a larger number of such studies completed than most other systems doubt exists as the accuracy and comparability of results between studies due to aspects of methodology and reporting. This paper reports on a trial conducted on HFACS to determine its reliability in the context of military air traffic control (ATC). Two groups participated in the trial: one group comprised of spe

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Gineste, J. M., G. Flamant, and G. Olalde. "Incident solar radiation data at Odeillo solar furnaces." Le Journal de Physique IV 09, PR3 (1999): Pr3–623—Pr3–628. http://dx.doi.org/10.1051/jp4:1999399.

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Jarvis, John P. "Examining National Incident-Based Reporting System (NIBRS) Data." Justice Research and Policy 16, no. 2 (2015): 195–210. http://dx.doi.org/10.1177/1525107115623506.

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BRADLEY, COLIN P. "Turning Anecdotes into Data—The Critical Incident Technique." Family Practice 9, no. 1 (1992): 98–103. http://dx.doi.org/10.1093/fampra/9.1.98.

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Bakaki, Paul M., Siran M. Koroukian, Leila W. Jackson, Jeffrey M. Albert, and Kitti Kaiboriboon. "Defining incident cases of epilepsy in administrative data." Epilepsy Research 106, no. 1-2 (2013): 273–79. http://dx.doi.org/10.1016/j.eplepsyres.2013.05.005.

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Culli, Michael J., and Fred L. Hall. "Incident Detection on an Arterial Roadway." Transportation Research Record: Journal of the Transportation Research Board 1603, no. 1 (1997): 112–18. http://dx.doi.org/10.3141/1603-15.

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Presented here is the development of an automatic incident detection algorithm for use on Lakeshore Boulevard, Toronto, Canada, based on volume or occupancy data recorded from fixed-loop detectors. Four prospective logics were based on 20-sec intervals; the remaining five were based on traffic-signal cycle lengths to eliminate the fluctuations in 20-sec data. To identify the detection ability of each logic, data from a known severe incident (a two-lane blockage) were used. Only one logic exhibited promising results from the initial development and feasibility test: the logic that compared curr

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Elvas, Luís B., Carolina F. Marreiros, João M. Dinis, Maria C. Pereira, Ana L. Martins, and João C. Ferreira. "Data-Driven Approach for Incident Management in a Smart City." Applied Sciences 10, no. 22 (2020): 8281. http://dx.doi.org/10.3390/app10228281.

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Buildings in Lisbon are often the victim of several types of events (such as accidents, fires, collapses, etc.). This study aims to apply a data-driven approach towards knowledge extraction from past incident data, nowadays available in the context of a Smart City. We apply a Cross Industry Standard Process for Data Mining (CRISP-DM) approach to perform incident management of the city of Lisbon. From this data-driven process, a descriptive and predictive analysis of an events dataset provided by the Lisbon Municipality was possible, together with other data obtained from the public domain, suc

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de Vos, Marit S., Jaap F. Hamming, Jolanda J. C. Chua-Hendriks, and Perla J. Marang-van de Mheen. "Connecting perspectives on quality and safety: patient-level linkage of incident, adverse event and complaint data." BMJ Quality & Safety 28, no. 3 (2018): 180–89. http://dx.doi.org/10.1136/bmjqs-2017-007457.

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Background and objectiveIncident, adverse event (AE) and complaint data are typically used separately, but may be related at the patient level with one event triggering a cascade of events, ultimately resulting in a complaint. This study examined relations between incidents, AEs and complaints that co-occurred in admissions.MethodsIndependently and routinely collected incident, AE and complaint data were retrospectively linked for surgical admissions in an academic centre (2008–2014). Two investigators reviewed whether incidents/AEs in admissions were clinically related and in what sequence (i

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Wiegmann, Matti, Jens Kersten, Hansi Senaratne, Martin Potthast, Friederike Klan, and Benno Stein. "Opportunities and risks of disaster data from social media: a systematic review of incident information." Natural Hazards and Earth System Sciences 21, no. 5 (2021): 1431–44. http://dx.doi.org/10.5194/nhess-21-1431-2021.

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Abstract. Compiling and disseminating information about incidents and disasters are key to disaster management and relief. But due to inherent limitations of the acquisition process, the required information is often incomplete or missing altogether. To fill these gaps, citizen observations spread through social media are widely considered to be a promising source of relevant information, and many studies propose new methods to tap this resource. Yet, the overarching question of whether and under which circumstances social media can supply relevant information (both qualitatively and quantitat

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Sulo, Gerhard, Jannicke Igland, Stein Emil Vollset, et al. "Trends in incident acute myocardial infarction in Norway: An updated analysis to 2014 using national data from the CVDNOR project." European Journal of Preventive Cardiology 25, no. 10 (2018): 1031–39. http://dx.doi.org/10.1177/2047487318780033.

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Background We updated the information on trends of incident acute myocardial infarction in Norway, focusing on whether the observed trends during 2001–2009 continued throughout 2014. Methods All incident (first) acute myocardial infarctions in Norwegian residents age 25 years and older were identified in the Cardiovascular Disease in Norway 1994–2014 project. We analysed overall and age group-specific (25–64 years, 65–84 years and 85 + years) trends by gender using Poisson regression analyses and report the average annual changes in rates with their 95% confidence intervals. Results During 200

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Won, Minsu, and Gang-Len Chang. "Ensemble Model to Estimate Incident Clearance Durations using Sequential Partitioning Process and Robust Regression." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 8 (2019): 554–66. http://dx.doi.org/10.1177/0361198119842115.

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Most agencies, in response to and management of non-recurrent highway congestion, are requested by the general public to provide the estimated delay and impacts of incidents; this information also allows the agencies to take appropriate control strategies. However, to do so in real time the responsible agencies would need to have a reliable estimate of the incident duration, which although valuable information, is either not available or not acceptably reliable for use in practice. Considering the nature of incident response operations, the difficulty in developing a reliable model may be attr

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Ivan, John N., and Vaneet Sethi. "Data Fusion of Fixed Detector and Probe Vehicle Data for Incident Detection." Computer-Aided Civil and Infrastructure Engineering 13, no. 5 (1998): 329–37. http://dx.doi.org/10.1111/0885-9507.00111.

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Raub, Richard A., and Joseph L. Schofer. "Managing Incidents on Urban Arterial Roadways." Transportation Research Record: Journal of the Transportation Research Board 1603, no. 1 (1997): 12–19. http://dx.doi.org/10.3141/1603-02.

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Limiting the impact on traffic of nonrecurring events such as crashes, traffic stops, or disabled vehicles through effective incident management should be one objective for emergency response professionals. Moreover, such management is an integral part of Intelligent Transportation Systems planning. The Arterial Incident Management Study, sponsored by the Illinois Department of Transportation and conducted by Northwestern University, examined the impact and management of arterial street incidents to determine what steps could be taken to improve the handling of such events. Several approaches

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Singh, Jasvinder A., and John D. Cleveland. "Gout and the risk of incident atrial fibrillation in older adults: a study of US Medicare data." RMD Open 4, no. 2 (2018): e000712. http://dx.doi.org/10.1136/rmdopen-2018-000712.

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ObjectiveTo assess the association of gout with new-onset atrial fibrillation (AF) in the elderly.MethodsWe used the 5% Medicare data from 2005 to 2012 to assess whether a diagnosis of gout was associated with incident AF. We used multivariable Cox regression adjusted for demographics, Charlson-Romano comorbidity index, common cardiovascular medications, allopurinol and febuxostat use, to calculate hazard ratios (HRs) and 95% confidence intervals (CIs).ResultsAmong 1 647 812 eligible people, 9.8% had incident AF. The mean age was 75 years, 42% were male, 86% were white and the mean Charlson-Ro

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Wanda, Maria Yuventa, Nursalam Nursalam, and Andri Setiya Wahyudi. "Analisis Faktor yang Mempengaruhi Pelaporan Insiden Keselamatan Pasien pada Perawat." Fundamental and Management Nursing Journal 3, no. 1 (2020): 15. http://dx.doi.org/10.20473/fmnj.v3i1.17284.

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Introduction: Patient Safety Incident Report hereinafter referred to as incident reporting, is a system of documenting patient safety incident reports, analyzing and obtaining recommendations and solutions from the health care facility patient safety team. This study aims to analyze the factors of work experience, education, perceptions, attitudes, motivation, leadership towards reporting patient safety incidents to nurses in the inpatient room of Prof. Dr. W. Z. Johannes Kupang.Method: The design of this study was cross-sectional. The sample size of the study was 143 respondents who met the i

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Won, Minsu. "Outlier Analysis to Improve the Performance of an Incident Duration Estimation and Incident Management System." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 5 (2020): 486–97. http://dx.doi.org/10.1177/0361198120916472.

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Traffic incidents, as non-recurrent events, are one of the major causes of congestion in the transportation network. To mitigate the impacts of such incidents and to recover the performance of transportation systems as safely and quickly as possible, most responsible agencies over the past decades have implemented various traffic incident management systems, and an incident duration prediction model is one of the key components to estimate the impact of time-varying incidents on the network. Many studies have been undertaken to develop a robust prediction model of incident duration, but they h

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Vasan, Senthil K., Belavendra Antonisamy, Mahasampath Gowri, et al. "Prevalence, incidence and predictors of cardiovascular risk factors: longitudinal data from rural and urban South India and comparison with global data." BMJ Open Diabetes Research & Care 8, no. 1 (2020): e001782. http://dx.doi.org/10.1136/bmjdrc-2020-001782.

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IntroductionIndia has high mortality rates from cardiovascular disease (CVD). Understanding the trends and identifying modifiable determinants of CVD risk factors will guide preventive strategies and policy making.Research design and methodsCVD risk factors (obesity, central obesity, and type 2 diabetes (T2D), hypertension, hypercholesterolemia and hypertriglyceridemia) prevalence and incidence were estimated in 962 (male 519) non-migrant adults from Vellore, South India, studied in: (1) 1998–2002 (mean age 28.2 years) and (2) 2013–2014 (mean age 41.7 years). Prevalence was compared with the N

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