Infectious Disease Modeling

2018 ◽  
pp. 325-350
Author(s):  
Andrew B. Lawson
Keyword(s):  
Infectious Disease ◽  
Disease Modeling ◽  
Infectious Disease Modeling

scholarly journals Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice

2017 ◽  
Vol 23 (5) ◽  
Author(s):  
David J. Muscatello ◽  
Abrar A. Chughtai ◽  
Anita Heywood ◽  
Lauren M. Gardner ◽  
David J. Heslop ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Real Time ◽  
Disease Modeling ◽  
Public Health Practice ◽  
Health Practice ◽  
Infectious Disease Modeling

Real-Time Infectious Disease Modeling to Inform Emergency Public Health Decision Making

2022 ◽  
Vol 43 (1) ◽  
Author(s):  
Anna Bershteyn ◽  
Hae-Young Kim ◽  
R. Scott Braithwaite
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Real Time ◽  
Disease Modeling ◽  
Disease Process ◽  
Annual Review ◽  
Publication Date ◽  
Public Health Response ◽  
Response Options ◽  
Infectious Disease Modeling

Infectious disease transmission is a nonlinear process with complex, sometimes unintuitive dynamics. Modeling can transform information about a disease process and its parameters into quantitative projections that help decision makers compare public health response options. However, modelers face methodologic challenges, data challenges, and communication challenges, which are exacerbated under the time constraints of a public health emergency. We review methods, applications, challenges and opportunities for real-time infectious disease modeling during public health emergencies, with examples drawn from the two deadliest pandemics in recent history: HIV/AIDS and coronavirus disease 2019 (COVID-19). Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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