Mobility restrictions for the control of epidemics: When do they work?

PLoS One. 2020 Jul 6;15(7):e0235731. doi: 10.1371/journal.pone.0235731. eCollection 2020.

Abstract

Background: Mobility restrictions-trade and travel bans, border closures and, in extreme cases, area quarantines or cordons sanitaires-are among the most widely used measures to control infectious diseases. Restrictions of this kind were important in the response to epidemics of SARS (2003), H1N1 influenza (2009), Ebola (2014) and, currently in the containment of the ongoing COVID-19 pandemic. However, they do not always work as expected.

Methods: To determine when mobility restrictions reduce the size of an epidemic, we use a model of disease transmission within and between economically heterogeneous locally connected communities. One community comprises a low-risk, low-density population with access to effective medical resources. The other comprises a high-risk, high-density population without access to effective medical resources.

Findings: Unrestricted mobility between the two risk communities increases the number of secondary cases in the low-risk community but reduces the overall epidemic size. By contrast, the imposition of a cordon sanitaire around the high-risk community reduces the number of secondary infections in the low-risk community but increases the overall epidemic size.

Interpretation: Mobility restrictions may not be an effective policy for controlling the spread of an infectious disease if it is assessed by the overall final epidemic size. Patterns of mobility established through the independent mobility and trade decisions of people in both communities may be sufficient to contain epidemics.

Publication types

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

MeSH terms

  • Betacoronavirus*
  • COVID-19
  • Coronavirus Infections / economics
  • Coronavirus Infections / epidemiology*
  • Coronavirus Infections / transmission*
  • Coronavirus Infections / virology
  • Humans
  • International Cooperation
  • Models, Biological
  • Pandemics / economics
  • Pneumonia, Viral / economics
  • Pneumonia, Viral / epidemiology*
  • Pneumonia, Viral / transmission*
  • Pneumonia, Viral / virology
  • Quarantine / economics
  • Quarantine / methods*
  • Residence Characteristics
  • SARS-CoV-2
  • Travel
  • Unemployment

Grants and funding

Baltazar Espinoza and Carlos Castillo-Chavez were funded by the National Security Agency (NSA – Grant H98230-J8-1-0005) and partially supported by Data Science Initiative at Brown. Charles Perrings was funded by NSF grant 1414374 as part of the joint NSF-NIH-USDA Ecology and Evolution of Infectious Diseases program, and by UK Biotechnology and Biological Sciences Research Council grant BB/M008894/1.