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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Bibliographic Information

Provider: Federal Reserve Bank of Cleveland

Part of Series: Economic Commentary

Publication Date: 2020-09-02

Volume: 2020

Issue: 23

Pages: 8