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Original Article
Are There Spatial and Temporal Correlations in the Incidence Distribution of Scrub Typhus in Korea?
Maengseok Noh, Youngjo Lee, Chaeshin Chu, Jin Gwack, Seung-Ki Youn, Sun Huh
Osong Public Health Res Perspect. 2013;4(1):39-44.   Published online February 28, 2013
DOI: https://doi.org/10.1016/j.phrp.2013.01.002
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  • 6 Citations
AbstractAbstract PDF
Objectives
A hierarchical generalized linear model (HGLM) was applied to estimate the transmission pattern of scrub typhus from 2001 to 2011 in the Republic of Korea, based on spatial and temporal correlation.
Methods
Based on the descriptive statistics of scrub typhus incidence from 2001 to 2011 reported to the Korean Centers for Disease Control and Prevention, the spatial and temporal correlations were estimated by HGLM. Incidences according to age, sex, and year were also estimated by the best-fit model out of nine HGLMs. A disease map was drawn to view the annual regional spread of the disease.
Results
The total number of scrub typhus cases reported from 2001 to 2011 was 51,136: male, 18,628 (36.4%); female, 32,508 (63.6%). The best-fit model selected was a combination of the spatial model (Markov random-field model) and temporal model (first order autoregressive model) of scrub typhus transmission. The peak incidence was 28.80 per 100,000 persons in early October and the peak incidence was 40.17 per 100,000 persons in those aged 63.3 years old by the best-fit HGLM. The disease map showed the spread of disease from the southern central area to a nationwide area, excepting Gangwon-do (province), Gyeongsangbuk-do (province), and Seoul.
Conclusion
In the transmission of scrub typhus in Korea, there was a correlation to the incidence of adjacent areas, as well as that of the previous year. According to the disease map, we are unlikely to see any decrease in the incidence in the near future, unless ongoing aggressive measures to prevent the exposure to the vector, chigger mites, in rural areas, are put into place.

Citations

Citations to this article as recorded by  
  • Epidemiological characteristics and spatiotemporal patterns of scrub typhus in Yunnan Province from 2006 to 2017
    Pei-Ying Peng, Lei Xu, Gu-Xian Wang, Wen-Yuan He, Ting-Liang Yan, Xian-Guo Guo
    Scientific Reports.2022;[Epub]     CrossRef
  • Clinical and Laboratory Predictors associated with Complicated Scrub Typhus
    Mi-Hee Kim, Si-Hyun Kim, Jung-Hyun Choi, Seong-Heon Wie
    Infection & Chemotherapy.2019; 51(2): 161.     CrossRef
  • Awareness and Work-Related Factors Associated with Scrub Typhus: A Case-Control Study from South Korea
    Dong-Seob Kim, Dilaram Acharya, Kwan Lee, Seok-Ju Yoo, Ji-Hyuk Park, Hyun-Sul Lim
    International Journal of Environmental Research an.2018; 15(6): 1143.     CrossRef
  • Estimating the burden of scrub typhus: A systematic review
    Ana Bonell, Yoel Lubell, Paul N. Newton, John A. Crump, Daniel H. Paris, Janet Foley
    PLOS Neglected Tropical Diseases.2017; 11(9): e0005838.     CrossRef
  • Spatiotemporal Dynamics of Scrub Typhus Transmission in Mainland China, 2006-2014
    Yi-Cheng Wu, Quan Qian, Ricardo J. Soares Magalhaes, Zhi-Hai Han, Wen-Biao Hu, Ubydul Haque, Thomas A. Weppelmann, Yong Wang, Yun-Xi Liu, Xin-Lou Li, Hai-Long Sun, Yan-Song Sun, Archie C. A. Clements, Shen-Long Li, Wen-Yi Zhang, Mathieu Picardeau
    PLOS Neglected Tropical Diseases.2016; 10(8): e0004875.     CrossRef
  • Larval Chigger Mites Collected from Small Mammals in 3 Provinces, Korea
    In-Yong Lee, Hyeon-Je Song, Yeon-Joo Choi, Sun-Hye Shin, Min-Kyung Choi, So-Hyun Kwon, E-Hyun Shin, Chan Park, Heung-Chul Kim, Terry A. Klein, Kyung-Hee Park, Won-Jong Jang
    The Korean Journal of Parasitology.2014; 52(2): 225.     CrossRef

PHRP : Osong Public Health and Research Perspectives