Predicting COVID-19 cases with unknown homogeneous or heterogeneous resistance to infectivity

We present a restricted infection rate inverse binomial-based approach to better predict COVID-19 cases after a family gathering. The traditional inverse binomial (IB) model is inappropriate to match the reality of COVID-19, because the collected data contradicts the model’s requirement that varianc...

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Detalles Bibliográficos
Autores principales: Shanmugam, Ramalingam, Ledlow, Gerald, Singh, Karan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282037/
https://www.ncbi.nlm.nih.gov/pubmed/34264972
http://dx.doi.org/10.1371/journal.pone.0254313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282037/
https://www.ncbi.nlm.nih.gov/pubmed/34264972
http://dx.doi.org/10.1371/journal.pone.0254313

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