A phenomenological estimate of the true scale of CoViD-19 from primary data

Luigi Palatella, Fabio Vanni and David Lambert

Chaos, Solitons & Fractals, 2021, vol. 146, issue C

Abstract: Estimation of the prevalence of undocumented SARS-CoV-2 infections is critical for understanding the overall impact of CoViD-19, and for implementing effective public policy intervention strategies. We discuss a simple yet effective approach to estimate the true number of people infected by SARS-CoV-2, using raw epidemiological data reported by official health institutions in the largest EU countries and the USA.

Keywords: Renewal equation; Scale of epidemics; SARS-CoV2 prevalence (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:146:y:2021:i:c:s0960077921002071

DOI: 10.1016/j.chaos.2021.110854

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