A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany

A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany

Abstract Background As of 13 July 2020, 12.9 million COVID-19 cases have been reported worldwide. Prior studies have demonstrated that local socioeconomic and built environment characteristics may significantly contribute to viral transmission and incidence rates, thereby accounting for some of the...

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Bibliographic Details
Main Authors: Christopher Scarpone, Sebastian T. Brinkmann, Tim Große, Daniel Sonnenwald, Martin Fuchs, Blake Byron Walker
Format: Article
Language:English
Published: BMC 2020-08-01
Series:International Journal of Health Geographics
Subjects:
COVID-19
SARS-CoV-2
GIS
Built environment
Socioeconomic status
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12942-020-00225-1

Internet

http://link.springer.com/article/10.1186/s12942-020-00225-1

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