Using real-time ascertainment rate estimate from infection and hospitalization dataset for modeling the spread of infectious disease: COVID-19 case study in the Czech Republic

We present a novel approach to estimate the time-varying ascertainment rate in almost real-time, based on the surveillance of positively tested infectious and hospital admission data. We also address the age dependence of the estimate. The ascertainment rate estimation is based on the Bayes theorem....

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Detalles Bibliográficos
Autores principales: Přibylová, Lenka, Eclerová, Veronika, Májek, Ondřej, Jarkovský, Jiří, Pavlík, Tomáš, Dušek, Ladislav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10343065/
https://www.ncbi.nlm.nih.gov/pubmed/37440522
http://dx.doi.org/10.1371/journal.pone.0287959

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10343065/
https://www.ncbi.nlm.nih.gov/pubmed/37440522
http://dx.doi.org/10.1371/journal.pone.0287959

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