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Jeehyun Kim, Byung Chul Chun, P-1298. Spatiotemporal Dynamics and Risk Factors of Scrub Typhus in 2013–2019 South Korea: a Bayesian Hurdle Model, Open Forum Infectious Diseases, Volume 12, Issue Supplement_1, February 2025, ofae631.1479, https://doi.org/10.1093/ofid/ofae631.1479
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Abstract

Flowchart of study subject selection. Scrub typhus was diagnosed with A75.3 in ICD-10-CM Code.
Epiweek, epidemiological week. NHIS, National Health Insurance Service in South Korea.


Results of hot and cold spot trends by visualizing a space-time cube of scrub typhus incidence per 100,000 population.
Colors represent the patterns of hot and cold spot trends, classified as “up trend,” “down trend," or “no significant trend” with 90, 95, and 99% confidence levels.

Results of multivariable Bayesian spatiotemporal models on scrub typhus incidence by gender and age group, as expressed via coefficient (95% credible interval)
WAIC, Watanabe-Akaike information criterion.
All Authors: No reported disclosures
Author notes
Study Group: Yes
Session: 146. Public Health
Friday, October 18, 2024: 12:15 PM
- environmental factors
- fever
- color
- disclosure
- dourine
- health insurance
- korea
- rodentia
- scrub typhus
- economics
- gender
- international classification of diseases
- national health interview survey
- stratification
- subject selection
- evidence-based practice
- autocorrelation
- vector borne diseases
- south korea
- one health
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