Semi-parametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data

Mechanistic models fit to streaming surveillance data are critical to understanding the transmission dynamics of an outbreak as it unfolds in real-time. However, transmission model parameter estimation can be imprecise, and sometimes even impossible, because surveillance data are noisy and not infor...

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Publicat a:ArXiv
Autors principals: Bayer, Damon, Goldstein, Isaac H., Fintzi, Jonathan, Lumbard, Keith, Ricotta, Emily, Warner, Sarah, Busch, Lindsay M., Strich, Jeffrey R., Chertow, Daniel S., Parker, Daniel M., Boden-Albala, Bernadette, Dratch, Alissa, Chhuon, Richard, Quick, Nichole, Zahn, Matthew, Minin, Volodymyr M.
Format: Artigo
Idioma:Inglês
Publicat: Cornell University 2023
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7480029/
https://ncbi.nlm.nih.gov/pubmed/32908946
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