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Article

Verifying Infectious Disease Scenario Planning for Geographically Diverse Populations

2024-10-16

Abstract excerpt

<h4>ABSTRACT</h4> In the face of the COVID-19 pandemic, the literature saw a spike in publications for epidemic models, and a renewed interest in capturing contact networks and geographic movement of populations. There remains a general lack of consensus in the modeling community around best practices for spatiotemporal epi-modeling, specifically as it pertains to the infection rate formulation and the underlying...

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Literature Corpus work
aeb093dc-aa4b-5b8a-8274-898a0af7eac0
DOI
10.1101/2024.10.15.24314208
Open publication

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Verifying Infectious Disease Scenario Planning for Geographically Diverse PopulationsDOI 10.1101/2024.10.15.24314208
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