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

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 20...

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Autores principales: Noh, Maengseok, Lee, Youngjo, Oh, Seungyoung, Chu, Chaeshin, Gwack, Jin, Youn, Seung-Ki, Cho, Shin Hyeong, Lee, Won Ja, Huh, Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Centers for Disease Control and Prevention 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747662/
https://www.ncbi.nlm.nih.gov/pubmed/24159514
http://dx.doi.org/10.1016/j.phrp.2012.11.003
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author Noh, Maengseok
Lee, Youngjo
Oh, Seungyoung
Chu, Chaeshin
Gwack, Jin
Youn, Seung-Ki
Cho, Shin Hyeong
Lee, Won Ja
Huh, Sun
author_facet Noh, Maengseok
Lee, Youngjo
Oh, Seungyoung
Chu, Chaeshin
Gwack, Jin
Youn, Seung-Ki
Cho, Shin Hyeong
Lee, Won Ja
Huh, Sun
author_sort Noh, Maengseok
collection PubMed
description 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.
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spelling pubmed-37476622013-10-24 Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model Noh, Maengseok Lee, Youngjo Oh, Seungyoung Chu, Chaeshin Gwack, Jin Youn, Seung-Ki Cho, Shin Hyeong Lee, Won Ja Huh, Sun Osong Public Health Res Perspect Articles 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. Korea Centers for Disease Control and Prevention 2012-12 /pmc/articles/PMC3747662/ /pubmed/24159514 http://dx.doi.org/10.1016/j.phrp.2012.11.003 Text en Copyright ©2012, Korea Centers for Disease Control and Prevention http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which perm
spellingShingle Articles
Noh, Maengseok
Lee, Youngjo
Oh, Seungyoung
Chu, Chaeshin
Gwack, Jin
Youn, Seung-Ki
Cho, Shin Hyeong
Lee, Won Ja
Huh, Sun
Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model
title Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model
title_full Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model
title_fullStr Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model
title_full_unstemmed Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model
title_short Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model
title_sort spatial and temporal distribution of plasmodium vivax malaria in korea estimated with a hierarchical generalized linear model
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747662/
https://www.ncbi.nlm.nih.gov/pubmed/24159514
http://dx.doi.org/10.1016/j.phrp.2012.11.003
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