Abstract
AbstractWe present a novel methodology for the stable rate estimation of hospitalization and death related to the Corona Virus Disease 2019 (COVID-19) using publicly available reports from various distinct communities. These rates are then used to estimate underreported infections on the corresponding areas by making use of reported daily hospitalizations and deaths. The impact of underreporting infections on vaccination strategies is estimated under different disease-transmission scenarios using a Susceptible-Exposed-Infective-Removed-like (SEIR) epidemiological model.One sentence SummaryUsing a novel methodology, we estimate COVID-19 underreporting from public data, quantifying its impact on vaccination.
Publisher
Cold Spring Harbor Laboratory
Cited by
1 articles.
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