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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*
  • *Corresponding author for this work
  • Pukyong National University
  • Seoul National University
  • Korea National Institute of Health
  • Hallym University

Research output: Contribution to journalJournal articlepeer-review

Abstract

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-fi;t 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.

Original languageEnglish
Pages (from-to)39-44
Number of pages6
JournalOsong Public Health and Research Perspectives
Volume4
Issue number1
DOIs
StatePublished - 2013.02

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Aged
  • Epidemiology
  • Female
  • Incidence
  • Korea
  • Linear models
  • Orientia tsutsugamushi
  • Scrub typhus

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