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COVID-19 prevalence estimation by random sampling in population - optimal sample pooling under varying assumptions about true prevalence
BACKGROUND: The number of confirmed COVID-19 cases divided by population size is used as a coarse measurement for the burden of disease in a population. However, this fraction depends heavily on the sampling intensity and the various test criteria used in different jurisdictions, and many sources in...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376319/ https://www.ncbi.nlm.nih.gov/pubmed/32703158 http://dx.doi.org/10.1186/s12874-020-01081-0 |