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...

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Detalles Bibliográficos
Autores principales: Stoto, Michael A., Woolverton, Abbey, Kraemer, John, Barlow, Pepita, Clarke, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Commentary
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

Internet

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

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