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View all- Currie CMonks TJohansson BJain S(2018)Modeling diseasesProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320579(440-454)Online publication date: 9-Dec-2018
Modelling the response of a public health department to infectious disease
Authors: 
Travis Worth, Reha Uzsoy, Erika Samoff, Anne-Marie Meyer, Jean-Marie Maillard, Aaron M. WendelboeAuthors Info & Claims
Travis Worth, Reha Uzsoy, Erika Samoff, Anne-Marie Meyer, Jean-Marie Maillard, Aaron M. WendelboeAuthors Info & ClaimsPages 2185 - 2198
Abstract
We present a discrete-event simulation model of the response of a local public health department (LHD) to pertussis cases. We take a comprehensive view of public health actions, beginning with detection of an individual patient, confirmation of the case by physician and lab tests, and contact tracing and isolation of contacts by LHD personnel. We explicitly model the information transfer between providers, laboratories and LHDs, and examine the effect of different alerting strategies on the number of confirmed cases encountered. The effect of limited resource availability for contact tracing is also examined. Given our results, we suggest that resource availability has significant impact on the progression of a disease outbreak, as do information delays at various stages of the process.
References
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Eames, K. T. D. and M. J. Keeling 2003. "Contact Tracing and Disease Control." Proceedings of the Royal Society B: Biological Sciences 270: 2565--2571.
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Hethcote, H. W. 1997. "An Age-Structured Model for Pertussis Transmission." Mathematical Biosciences 145: 89--136.
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Information
Published In
December 2010
3519 pages
ISBN:9781424498642
- Editors:
- Björn Johansson,
- Sanjay Jain,
- Jairo Montoya-Torres,
- Program Chair:
- Enver Yücesan
Sponsors
- IIE: Institute of Industrial Engineers
- INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
- SCS: Shanghai Computer Society
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
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Winter Simulation Conference
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Published: 05 December 2010
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WSC10
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- INFORMS-SIM
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WSC '10 Paper Acceptance Rate 184 of 281 submissions, 65%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
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View all- Currie CMonks TJohansson BJain S(2018)Modeling diseasesProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320579(440-454)Online publication date: 9-Dec-2018
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