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Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model

  • Maengseok Noh
  • , Youngjo Lee
  • , Seungyoung Oh
  • , Chaeshin Chu
  • , Jin Gwack
  • , Seung Ki Youn
  • , Shin Hyeong Cho
  • , Won Ja Lee
  • , 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: The spatial and temporal correlations were estimated to determine Plasmodium vivax malarial transmission pattern in Korea from 2001-2011 with the hierarchical generalized linear model. Methods: Malaria cases reported to the Korea Centers for Disease Control and Prevention from 2001 to 2011 were analyzed with descriptive statistics and the incidence was estimated according to age, sex, and year by the hierarchical generalized linear model. Spatial and temporal correlation was estimated and the best model was selected from nine models. Results were presented as diseases map according to age and sex. Results: The incidence according to age was highest in the 20-25-year-old group (244.52 infections/100,000). Mean ages of infected males and females were 31.0 years and 45.3 years with incidences 7.8 infections/100,000 and 7.1 infections/100,000 after estimation. The mean month for infection was mid-July with incidence 10.4 infections/100,000. The best-fit model showed that there was a spatial and temporal correlation in the malarial transmission. Incidence was very low or negligible in areas distant from the demilitarized zone between Republic of Korea and Democratic People's Republic of Korea (North Korea) if the 20-29-year-old male group was omitted in the diseases map. Conclusion: Malarial transmission in a region in Korea was influenced by the incidence in adjacent regions in recent years. Since malaria in Korea mainly originates from mosquitoes from North Korea, there will be continuous decrease if there is no further outbreak in North Korea.

Original languageEnglish
Pages (from-to)192-198
Number of pages7
JournalOsong Public Health and Research Perspectives
Volume3
Issue number4
DOIs
StatePublished - 2012.12

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

  • Epidemiology
  • Incidence
  • Korea
  • Linear models
  • Malaria
  • Plasmodium vivax

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