Improving Epidemic Modeling with Networks
Ben Craig,
Thomas Phelan,
Jan-Peter Siedlarek and
Jared Steinberg
Economic Commentary, 2020, vol. 2020, issue 23, 8
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 (search for similar items in EconPapers)
Date: 2020
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DOI: 10.26509/frbc-ec-202023
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