Real-Time Infectious Disease Modeling to Inform Emergency Public Health Decision Making.
Annu Rev Public Health
; 43: 397-418, 2022 04 05.
Article
in English
| MEDLINE | ID: covidwho-1613116
ABSTRACT
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).
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Communicable Diseases
/
COVID-19
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Annu Rev Public Health
Year:
2022
Document Type:
Article
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