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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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| Publicado no: | Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8298962/ https://ncbi.nlm.nih.gov/pubmed/34297161 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00103-021-03384-z |
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