A community-based sociocultural network approach to controlling covid-19 contagion: Seven suggestions for improving policy

Timothy R. Hannigan, Milo Shaoqing Wang, Christopher W.J. Steele, Marc David L. Seidel, Ed Cervantes, P. Devereaux Jennings

Research output: Contribution to journalArticlepeer-review

Abstract

We showcase the usefulness of a community-based sociocultural network approach to understanding and combating COVID-19 contagion. Rather than recommending the standard approach to modeling contagion, which uses the individual person as the unit of interest (SEIR-type modeling), we encourage researchers and policymakers to focus on social units (such as households) and to conceive of the social units as being part of a community (a local configuration of a sociocultural network) that is embedded in a regional or national culture. Contagion occurs via culturally conditioned interactions between social units in these community networks. On the basis of this approach and our preliminary simulation results, we offer three policy suggestions for analysts, two for policymakers, and two for practitioners.

Original languageEnglish (US)
Pages (from-to)123-136
Number of pages14
JournalBehavioral Science and Policy
Volume6
Issue number2
DOIs
StatePublished - 2020
Externally publishedYes

ASJC Scopus subject areas

  • Development
  • Human-Computer Interaction
  • Public Health, Environmental and Occupational Health
  • Behavioral Neuroscience

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