Nature Communications (May 2022)

Addressing the socioeconomic divide in computational modeling for infectious diseases

  • Michele Tizzoni,
  • Elaine O. Nsoesie,
  • Laetitia Gauvin,
  • Márton Karsai,
  • Nicola Perra,
  • Shweta Bansal

DOI
https://doi.org/10.1038/s41467-022-30688-8
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 7

Abstract

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The COVID-19 pandemic has highlighted how structural social inequities fundamentally shape disease dynamics. Here, the authors provide a set of practical and methodological recommendations to address socioeconomic vulnerabilities in epidemic models.