Author: Palatella, Luigi; Vanni, Fabio; Lambert, David
Title: A phenomenological estimate of the Covid-19 true scale from primary data Cord-id: r4n7vqv7 Document date: 2021_1_13
ID: r4n7vqv7
Snippet: Estimation of prevalence of undocumented SARS-CoV-2 infections is critical for understanding the overall impact of the Covid-19 disease. In fact, unveiling uncounted cases has fundamental implications for public policy interventions strategies. In the present work, we show a basic yet effective approach to estimate the actual number of people infected by Sars-Cov-2, by using epidemiological raw data reported by official health institutions in the largest EU countries and USA.
Document: Estimation of prevalence of undocumented SARS-CoV-2 infections is critical for understanding the overall impact of the Covid-19 disease. In fact, unveiling uncounted cases has fundamental implications for public policy interventions strategies. In the present work, we show a basic yet effective approach to estimate the actual number of people infected by Sars-Cov-2, by using epidemiological raw data reported by official health institutions in the largest EU countries and USA.
Search related documents:
Co phrase search for related documents, hyperlinks ordered by date