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
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.