When is SARS-CoV-2 in your shopping list?

Math Biosci. 2020 Oct:328:108434. doi: 10.1016/j.mbs.2020.108434. Epub 2020 Jul 28.

Abstract

The pandemic of coronavirus disease 2019 (COVID-19) has caused several million confirmed cases worldwide. The necessity of keeping open and accessible public commercial establishments such as supermarkets or pharmacies increases during the pandemic provided that distancing rules and crowd control are satisfied. Herein, using agent-based models, we explore the potential spread of the novel SARS-CoV-2 considering the case of a small size supermarket. For diverse distancing rules and number of simultaneous users (customers), we question flexible and limited movement policies, guiding the flow and interactions of users in place. Results indicate that a guided, limited in movement and well-organized policy combined with a distance rule of at least 1 m and a small number of users may aid in the mitigation of potential new contagions in more than 90% compared to the usual policy of flexible movement with more users which may reach up to 64% of mitigation of potential new infections under the same distancing conditions. This study may guide novel strategies for the mitigation of the current COVID-19 pandemic, at any stage, and prevention of future outbreaks of SARS-CoV-2 or related viruses.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Betacoronavirus*
  • COVID-19
  • Commerce*
  • Coronavirus Infections / epidemiology
  • Coronavirus Infections / prevention & control
  • Coronavirus Infections / transmission*
  • Food Industry
  • Food Supply
  • Hand Disinfection
  • Humans
  • Masks
  • Mathematical Concepts
  • Models, Biological
  • Pandemics / prevention & control
  • Pharmacies
  • Pneumonia, Viral / epidemiology
  • Pneumonia, Viral / prevention & control
  • Pneumonia, Viral / transmission*
  • SARS-CoV-2
  • Systems Analysis*