Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19

Nat Hum Behav. 2020 Sep;4(9):964-971. doi: 10.1038/s41562-020-0931-9. Epub 2020 Aug 5.

Abstract

While severe social-distancing measures have proven effective in slowing the coronavirus disease 2019 (COVID-19) pandemic, second-wave scenarios are likely to emerge as restrictions are lifted. Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detailed agent-based model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in the Boston metropolitan area. We find that a period of strict social distancing followed by a robust level of testing, contact-tracing and household quarantine could keep the disease within the capacity of the healthcare system while enabling the reopening of economic activities. Our results show that a response system based on enhanced testing and contact tracing can have a major role in relaxing social-distancing interventions in the absence of herd immunity against SARS-CoV-2.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Betacoronavirus*
  • Boston / epidemiology
  • COVID-19
  • COVID-19 Testing
  • Clinical Laboratory Techniques / statistics & numerical data*
  • Contact Tracing / statistics & numerical data*
  • Coronavirus Infections / diagnosis
  • Coronavirus Infections / epidemiology*
  • Coronavirus Infections / prevention & control
  • Family Characteristics
  • Hospitalization / statistics & numerical data
  • Humans
  • Infection Control / methods
  • Infection Control / statistics & numerical data*
  • Models, Statistical
  • Pandemics / prevention & control
  • Pandemics / statistics & numerical data*
  • Pneumonia, Viral / diagnosis
  • Pneumonia, Viral / epidemiology*
  • Pneumonia, Viral / prevention & control
  • SARS-CoV-2