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Semiparametric Bayesian inference for the transmission dynamics of COVID-19 with a state-space model
The outbreak of Coronavirus Disease 2019 (COVID-19) is an ongoing pandemic affecting over 200 countries and regions. Inference about the transmission dynamics of COVID-19 can provide important insights into the speed of disease spread and the effects of mitigation policies. We develop a novel Bayesi...
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| Опубликовано в: : | Contemp Clin Trials |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier Inc.
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7491370/ https://ncbi.nlm.nih.gov/pubmed/32947047 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cct.2020.106146 |
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