Infectious Disease Transmission Models to Predict, Evaluate, and Improve Understanding of COVID-19 Trajectory and Interventions

Ann Am Thorac Soc. 2020 Oct;17(10):1204-1206. doi: 10.1513/AnnalsATS.202005-501PS.

Authors

Andrea G Buchwald¹, Jimi Adams², David M Bortz³, Elizabeth J Carlton¹

Affiliations

¹ Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz, Aurora, Colorado.
² Health & Behavioral Sciences, University of Colorado Denver, Denver, Colorado; and.
³ Applied Mathematics, University of Colorado Boulder, Boulder, Colorado.

No abstract available

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Betacoronavirus / isolation & purification*
COVID-19
Communicable Disease Control* / methods
Communicable Disease Control* / organization & administration
Communicable Disease Control* / standards
Coronavirus Infections* / epidemiology
Coronavirus Infections* / prevention & control
Coronavirus Infections* / transmission
Disease Transmission, Infectious / prevention & control*
Disease Transmission, Infectious / statistics & numerical data
Humans
Models, Theoretical*
Pandemics* / prevention & control
Pandemics* / statistics & numerical data
Pneumonia, Viral* / epidemiology
Pneumonia, Viral* / prevention & control
Pneumonia, Viral* / transmission
Quality Improvement
SARS-CoV-2