Journal of the Korean Cartographic Association 2023 KCI Impact Factor : 1.34
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pISSN : 1598-6160
- https://journal.kci.go.kr/jkca
KJCKorea
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Spatial Analysis Modeling on Scrub Typhus Disease Occurrence in Korea
- Journal of the Korean Cartographic Association
- Abbr : JKCA
- 2014, 14(3), pp.41-54
- DOI : 10.16879/jkca.2014.14.3.041
- Publisher : The Korean Cartographic Association
- Research Area : Social Science > Geography > Geography in general > Cartography
김승원 1, Youngho Kim 1
1고려대학교
Accredited
ABSTRACT
This research aims to identify appropriate regression models and suggest relevant space-ecological variables for scrub typhus disease occurrence analysis in Korea. This study expects to provide theoretical backgrounds for anti-epidemic measures of scrub typhus disease. Statistical tests for three different regression models, such as ordinary least square (OLS) model, spatial error model (SEM), and eigenvector spatial filtering model, present that the eigenvector spatial filtering model performs best. The analysis results show that six covariates (fall temperature, fall precipitation, fall humidity, fall NDVI, and paddy farm population rate) are statistically significant predictors for scrub typhus disease occurrence. Meanwhile, the OLS model indicates that rice farming population rate is the most significant factor in the covariance analysis. From the study, we concluded that socioeconomic factors are relatively more influential determinants of scrub typhus occurrence compared to environmental variables.
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