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

Title
Causal graph analysis of COVID-19 observational data in German districts reveals effects of determining factors on reported case numbers
Authors
Keywords
COVID 19, Directed acyclic graphs, SARS CoV 2, Pandemics, Germany, Population density, Respiratory infections, Recreation
Journal
PLoS One
Volume 16, Issue 5, Pages e0237277
Publisher
Public Library of Science (PLoS)
Online
2021-05-28
DOI
10.1371/journal.pone.0237277

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now