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

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...

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Detalles Bibliográficos
Autores principales: Palatella, Luigi, Vanni, Fabio, Lambert, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955922/
https://www.ncbi.nlm.nih.gov/pubmed/33746372
http://dx.doi.org/10.1016/j.chaos.2021.110854
Descripción
Sumario: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.

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