Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19.
Estimating the changes of epidemiological parameters, such as instantaneous reproduction number, Rt, is important for understanding the transmission dynamics of infectious diseases. Current estimates of time-varying epidemiological parameters often face problems such as lagging observations, averagi...
| 主要な著者: | , , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Public Library of Science (PLoS)
2022-02-01
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| シリーズ: | PLoS Computational Biology |
| オンライン･アクセス: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009807&type=printable |