COVID-19 prevalence estimation by random sampling in population - optimal sample pooling under varying assumptions about true prevalence
Abstract 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 so...
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| Format: | Article |
| Language: | English |
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BMC
2020-07-01
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| Series: | BMC Medical Research Methodology |
| Online Access: | http://link.springer.com/article/10.1186/s12874-020-01081-0 |