This paper is in the following e-collection/theme issue:

GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (111) Geographic Information Systems (GIS) (23) JMIR Theme Issue: COVID-19 Special Issue (2450) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1723) Infectious Diseases (non-STD/STI) (1567) Public (e)Health, Digital Epidemiology and Public Health Informatics (720)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49871, first published .
Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study

Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study

Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study

Authors of this article:

Rachel Martonik1 Author Orcid Image ;   Caitlin Oleson2 Author Orcid Image ;   Ellyn Marder2 Author Orcid Image
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.