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

GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (137) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Infectious Diseases (non-STD/STI) (1726) Use Cases in Human, Animal, and Zoonotic Communicable/Infectious Disease Surveillance (145) Statistical Methods for Surveillance and Population Health (188)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68437, first published .
Distribution and Risk Factors of Scrub Typhus in South Korea, From 2013 to 2019: Bayesian Spatiotemporal Analysis

Distribution and Risk Factors of Scrub Typhus in South Korea, From 2013 to 2019: Bayesian Spatiotemporal Analysis

Distribution and Risk Factors of Scrub Typhus in South Korea, From 2013 to 2019: Bayesian Spatiotemporal Analysis

Authors of this article:

Jeehyun Kim1 Author Orcid Image ;   Penelope Vounatsou2 Author Orcid Image ;   Byung Chul Chun1 Author Orcid Image
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Jeehyun Kim   1 , PhD ;   Penelope Vounatsou   2 , PhD ;   Byung Chul Chun   1 , MD, PhD

1 Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Republic of Korea

2 Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland

Corresponding Author:

  • Byung Chul Chun, MD, PhD
  • Department of Preventive Medicine
  • College of Medicine, Korea University
  • 73 Goryeodae-ro, Seoungbuk-gu
  • Seoul 02841
  • Republic of Korea
  • Phone: 82 2-2286-1169
  • Email: chun@korea.ac.kr