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Cluster of Parasite Infections by the Spatial Scan Analysis in Korea

  • Bae, Kyoung-Eun (Department of Biomedicine Health Science, College of Medicine, The Catholic University of Korea) ;
  • Chang, Yoon Kyung (Department of Parasitology, College of Medicine, The Catholic University of Korea) ;
  • Kim, Tong-Soo (Department of Parasitology and Tropical Medicine and Inha Research Institute for Medical Sciences, Inha University School of Medicine) ;
  • Hong, Sung-Jong (Department of Medical Environmental Biology, Chung-Ang University College of Medicine) ;
  • Ahn, Hye-Jin (Department of Parasitology, College of Medicine, The Catholic University of Korea) ;
  • Nam, Ho-Woo (Department of Parasitology, College of Medicine, The Catholic University of Korea) ;
  • Kim, Dongjae (Department of Biomedicine Health Science, College of Medicine, The Catholic University of Korea)
  • Received : 2020.07.13
  • Accepted : 2020.11.02
  • Published : 2020.12.31

Abstract

This study was performed to find out the clusters with high parasite infection risk to discuss the geographical pattern. Clusters were detected using SatScan software, which is a statistical spatial scan program using Kulldorff's scan statistic. Information on the parasitic infection cases in Korea 2011-2019 were collected from the Korea Centers for Disease Control and Prevention. Clusters of Ascaris lumbricoides infection were detected in Jeollabuk-do, and T. trichiura in Ulsan, Busan, and Gyeongsangnam-do. C. sinensis clusters were detected in Ulsan, Daegu, Busan, Gyeongsangnamdo, and Gyeongsangbuk-do. Clusters of intestinal trematodes were detected in Ulsan, Busan, and Gyeongsangnam-do. P. westermani cluster was found in Jeollabuk-do. E. vermicularis clusters were distributed in Gangwon-do, Jeju-do, Daegu, Daejeon, and Gwangju. This clustering information can be referred for surveillance and control on the parasitic infection outbreak in the infection-prone areas.

Keywords

References

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