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May 24, 2022Nature Communications60 citationsOpen Access

Addressing the socioeconomic divide in computational modeling for infectious diseases

MTMichele TizzoniENElaine O. NsoesieLGLaëtitia Gauvin

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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. 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.

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Tizzoni et al. (2022) studied this question.

synapsesocial.com/papers/6a202276d47ed904550dcb5ehttps://doi.org/10.1038/s41467-022-30688-8
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