Predictive Mathematical Models of the COVID-19 Pandemic
Nicholas P. Jewell, Joseph A. Lewnard, Britta L. Jewell
Abstract
This Viewpoint discusses the challenges of accurately modeling the COVID-19 pandemic and reviews principles that will make some models more useful than others, such as use of granular local data when available, regular updating and revision, and specification of uncertainty around estimates.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)PandemicMedicine2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus InfectionsData scienceVirologyComputer scienceInfectious disease (medical specialty)PathologyOutbreakDiseaseCOVID-19 epidemiological studiesCOVID-19 diagnosis using AIViral Infections and Outbreaks Research