Ein mathematisches Modell zur Schätzung der Dunkelziffer von SARS-CoV-2-Infektionen in der Frühphase der Pandemie am Beispiel Deutschland und Italien

BACKGROUND: Especially in the early phase, it is difficult to obtain reliable figures on the spread of a pandemic. The effects of the COVID-19 pandemic and the associated comprehensive but incomplete data monitoring provide a strong reason to estimate the number of unreported cases. AIM: The aim of...

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Detalles Bibliográficos
Autores principales: Fiedler, Jochen, Moritz, Christian P., Feth, Sascha, Speckert, Michael, Dreßler, Klaus, Schöbel, Anita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Leitthema
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298962/
https://www.ncbi.nlm.nih.gov/pubmed/34297161
http://dx.doi.org/10.1007/s00103-021-03384-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298962/
https://www.ncbi.nlm.nih.gov/pubmed/34297161
http://dx.doi.org/10.1007/s00103-021-03384-z

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