Cargando…
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...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
|
| Materias: | |
| 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 |