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Quantifying superspreading for COVID-19 using Poisson mixture distributions
The number of secondary cases is an important parameter for the control of infectious diseases. When individual variation in disease transmission is present, like for COVID-19, the number of secondary cases is often modelled using a negative binomial distribution. However, this may not be the best d...
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| Publicado no: | medRxiv |
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| Principais autores: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cold Spring Harbor Laboratory
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8132264/ https://ncbi.nlm.nih.gov/pubmed/34013290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2020.11.27.20239657 |
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