COVID-19 data are messy: analytic methods for rigorous impact analyses with imperfect data
Abstract Background The COVID-19 pandemic has led to an avalanche of scientific studies, drawing on many different types of data. However, studies addressing the effectiveness of government actions against COVID-19, especially non-pharmaceutical interventions, often exhibit data problems that threat...
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| Main Authors: | , , , , |
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| Format: | Book |
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BMC,
2022-01-01T00:00:00Z.
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A1234.567 |
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