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Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England
The time-varying reproduction number (R(t): the average number of secondary infections caused by each infected person) may be used to assess changes in transmission potential during an epidemic. While new infections are not usually observed directly, they can be estimated from data. However, data ma...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165604/ https://www.ncbi.nlm.nih.gov/pubmed/34053260 http://dx.doi.org/10.1098/rstb.2020.0283 |