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. 2022 May 24;13(1):2897.
doi: 10.1038/s41467-022-30688-8.

Addressing the socioeconomic divide in computational modeling for infectious diseases

Michele Tizzoni  1 , Elaine O Nsoesie  2   3 , Laetitia Gauvin  4 , Márton Karsai  5   6 , Nicola Perra  7 , Shweta Bansal  8
Affiliations

Addressing the socioeconomic divide in computational modeling for infectious diseases

Michele Tizzoni et al. Nat Commun. .

Abstract

The COVID-19 pandemic has highlighted how structural social inequities fundamentally shape disease dynamics, yet these concepts are often at the margins of the computational modeling community. Building on recent research studies in the area of digital and computational epidemiology, we provide a set of practical and methodological recommendations to address socioeconomic vulnerabilities in epidemic models.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Practical guidelines to introduce an equity lens into the computational modeling of infectious diseases and related challenges.
The figure illustrates and summarizes key recommendations and associated challenges, grouped by area of relevance in the data-model framework of computational epidemiology: surveillance data, behavioral data, and epidemic models. SES socioeconomic status.
See this image and copyright information in PMC

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