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

Tutorial (2) Public (e)Health, Digital Epidemiology and Public Health Informatics (747) Surveillance Systems (466) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infectious Diseases (non-STD/STI) (1591) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (113) mHealth for Data Collection and Research (979)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50653, first published .
Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks

Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks

Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks

Authors of this article:

Alison Levin-Rector1 Author Orcid Image ;   Martin Kulldorff2 Author Orcid Image ;   Eric R Peterson1 Author Orcid Image ;   Scott Hostovich3 Author Orcid Image ;   Sharon K Greene1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Martonik R, Oleson C, Marder E. Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study. JMIR Public Health and Surveillance 2024;10:e49871 View
  2. Santana K, Marino A, Martins G, Lima P, Mendonça P, Rolnik R. Space–Time Analysis of the COVID-19 Pandemic and Its Relationship with Socioeconomic and Demographic Variables in the Metropolitan Region of São Paulo, Brazil. ISPRS International Journal of Geo-Information 2024;13(11):397 View