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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| 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 |