Causal graph analysis of COVID-19 observational data in German districts reveals effects of determining factors on reported case numbers

Several determinants are suspected to be causal drivers for new cases of COVID-19 infection. Correcting for possible confounders, we estimated the effects of the most prominent determining factors on reported case numbers. To this end, we used a directed acyclic graph (DAG) as a graphical representa...

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Detalles Bibliográficos
Autores principales: Steiger, Edgar, Mussgnug, Tobias, Kroll, Lars Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158986/
https://www.ncbi.nlm.nih.gov/pubmed/34043653
http://dx.doi.org/10.1371/journal.pone.0237277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158986/
https://www.ncbi.nlm.nih.gov/pubmed/34043653
http://dx.doi.org/10.1371/journal.pone.0237277

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