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COVID-19 data are messy: analytic methods for rigorous impact analyses with imperfect data
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 threaten the v...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733906/ https://www.ncbi.nlm.nih.gov/pubmed/34991622 http://dx.doi.org/10.1186/s12992-021-00795-0 |