Journal Article
Improving Epidemic Modeling with Networks
Abstract: Many of the models used to track, forecast, and inform the response to epidemics such as COVID-19 assume that everyone has an equal chance of encountering those who are infected with a disease. But this assumption does not reflect the fact that individuals interact mostly within much narrower groups. We argue that incorporating a network perspective, which accounts for patterns of real-world interactions, into epidemiological models provides useful insights into the spread of infectious diseases.
Keywords: COVID-19;
https://doi.org/10.26509/frbc-ec-202023
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https://doi.org/10.26509/frbc-ec-202023
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Bibliographic Information
Provider: Federal Reserve Bank of Cleveland
Part of Series: Economic Commentary
Publication Date: 2020-09-02
Volume: 2020
Issue: 23
Pages: 8