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Cluster of Parasite Infections by the Spatial Scan Analysis in Korea

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...

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Detalles Bibliográficos
Autores principales: Bae, Kyoung-Eun, Chang, Yoon Kyung, Kim, Tong-Soo, Hong, Sung-Jong, Ahn, Hye-Jin, Nam, Ho-Woo, Kim, Dongjae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Parasitology and Tropical Medicine 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806438/
https://www.ncbi.nlm.nih.gov/pubmed/33412763
http://dx.doi.org/10.3347/kjp.2020.58.6.603
Descripción
Sumario: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, Gyeongsangnam-do, 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.