Modeling Contact Tracing Strategies for COVID-19 in the Context of Relaxed Physical Distancing Measures

Alyssa Bilinski; Farzad Mostashari; Joshua A Salomon

doi:10.1001/jamanetworkopen.2020.19217

Modeling Contact Tracing Strategies for COVID-19 in the Context of Relaxed Physical Distancing Measures

JAMA Netw Open. 2020 Aug 3;3(8):e2019217. doi: 10.1001/jamanetworkopen.2020.19217.

Authors

Alyssa Bilinski¹, Farzad Mostashari², Joshua A Salomon³

Affiliations

¹ Interfaculty Initiative in Health Policy, Graduate School of Arts and Sciences, Harvard University, Cambridge, Massachusetts.
² Aledade Inc, Bethesda, Maryland.
³ Center for Health Policy and Center for Primary Care and Outcomes Research, Stanford University School of Medicine, Stanford, California.

Abstract

This mathematical modeling study examines the potential for contract tracing to reduce the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the context of reduced physical distancing under different assumptions for case detection, tracing, and quarantine efficacy.

MeSH terms

Betacoronavirus*
COVID-19
Contact Tracing / methods*
Coronavirus Infections / prevention & control*
Coronavirus Infections / transmission
Coronavirus Infections / virology
Disease Transmission, Infectious / prevention & control*
Humans
Models, Theoretical*
Pandemics / prevention & control*
Pneumonia, Viral / prevention & control*
Pneumonia, Viral / transmission
Pneumonia, Viral / virology
SARS-CoV-2