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

GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (109) Geographic Information Systems (GIS) (22) JMIR Theme Issue: COVID-19 Special Issue (2434) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1511) Outbreak and Pandemic Preparedness and Management (1713) Infectious Diseases (non-STD/STI) (1553) Public (e)Health, Digital Epidemiology and Public Health Informatics (697)

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
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Rachel Martonik   1 , MS ;   Caitlin Oleson   2 , MSc ;   Ellyn Marder   2 , MPH, DrPH

1 Deloitte, Arlington, VA, United States

2 Washington State Department of Health, Olympia, WA, United States

Corresponding Author: