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Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China

OBJECTIVE: This study aims to explore the spatiotemporal distribution of schistosomiasis in Jiangling County, and provide insights into the precise schistosomiasis control. METHODS: The descriptive epidemiological method and Joinpoint regression model were used to analyze the changes in infection ra...

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Autores principales: Feng, Jiaxin, Zhang, Xia, Hu, Hehua, Gong, Yanfeng, Luo, Zhuowei, Xue, Jingbo, Cao, Chunli, Xu, Jing, Li, Shizhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159153/
https://www.ncbi.nlm.nih.gov/pubmed/37141201
http://dx.doi.org/10.1371/journal.pntd.0011265
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author Feng, Jiaxin
Zhang, Xia
Hu, Hehua
Gong, Yanfeng
Luo, Zhuowei
Xue, Jingbo
Cao, Chunli
Xu, Jing
Li, Shizhu
author_facet Feng, Jiaxin
Zhang, Xia
Hu, Hehua
Gong, Yanfeng
Luo, Zhuowei
Xue, Jingbo
Cao, Chunli
Xu, Jing
Li, Shizhu
author_sort Feng, Jiaxin
collection PubMed
description OBJECTIVE: This study aims to explore the spatiotemporal distribution of schistosomiasis in Jiangling County, and provide insights into the precise schistosomiasis control. METHODS: The descriptive epidemiological method and Joinpoint regression model were used to analyze the changes in infection rates of humans, livestock, snails, average density of living snails and occurrence rate of frames with snails in Jiangling County from 2005 to 2021. Spatial epidemiology methods were used to detect the spatiotemporal clustering of schistosomiasis transmission risk in Jiangling county. RESULTS: The infection rates in humans, livestock, snails, average density of living snails and occurrence rate of frames with snails in Jiangling County decreased from 2005 to 2021 with statistically significant. The average density of living snails in Jiangling County was spatially clustered in each year, and the Moran’s I varied from 0.10 to 0.26. The hot spots were mainly concentrated in some villages of Xionghe Town, Baimasi Town and Shagang Town. The mean center of the distribution of average density of living snails in Jiangling County first moved from northwest to southeast, and then returned from southeast to northwest after 2014. SDE azimuth fluctuated in the range of 111.68°-124.42°. Kernal density analysis showed that the high and medium-high risk areas of Jiangling County from 2005 to 2021 were mainly concentrated in the central and eastern of Jiangling County, and the medium-low and low risk areas were mainly distributed in the periphery of Jiangling County. CONCLUSIONS: The epidemic situation of schistosomiasis decreased significantly in Jiangling County from 2005 to 2021, but the schistosomiasis transmission risk still had spatial clustering in some areas. After transmission interruption, targeted transmission risk intervention strategies can be adopted according to different types of schistosomiasis risk areas.
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spelling pubmed-101591532023-05-05 Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China Feng, Jiaxin Zhang, Xia Hu, Hehua Gong, Yanfeng Luo, Zhuowei Xue, Jingbo Cao, Chunli Xu, Jing Li, Shizhu PLoS Negl Trop Dis Research Article OBJECTIVE: This study aims to explore the spatiotemporal distribution of schistosomiasis in Jiangling County, and provide insights into the precise schistosomiasis control. METHODS: The descriptive epidemiological method and Joinpoint regression model were used to analyze the changes in infection rates of humans, livestock, snails, average density of living snails and occurrence rate of frames with snails in Jiangling County from 2005 to 2021. Spatial epidemiology methods were used to detect the spatiotemporal clustering of schistosomiasis transmission risk in Jiangling county. RESULTS: The infection rates in humans, livestock, snails, average density of living snails and occurrence rate of frames with snails in Jiangling County decreased from 2005 to 2021 with statistically significant. The average density of living snails in Jiangling County was spatially clustered in each year, and the Moran’s I varied from 0.10 to 0.26. The hot spots were mainly concentrated in some villages of Xionghe Town, Baimasi Town and Shagang Town. The mean center of the distribution of average density of living snails in Jiangling County first moved from northwest to southeast, and then returned from southeast to northwest after 2014. SDE azimuth fluctuated in the range of 111.68°-124.42°. Kernal density analysis showed that the high and medium-high risk areas of Jiangling County from 2005 to 2021 were mainly concentrated in the central and eastern of Jiangling County, and the medium-low and low risk areas were mainly distributed in the periphery of Jiangling County. CONCLUSIONS: The epidemic situation of schistosomiasis decreased significantly in Jiangling County from 2005 to 2021, but the schistosomiasis transmission risk still had spatial clustering in some areas. After transmission interruption, targeted transmission risk intervention strategies can be adopted according to different types of schistosomiasis risk areas. Public Library of Science 2023-05-04 /pmc/articles/PMC10159153/ /pubmed/37141201 http://dx.doi.org/10.1371/journal.pntd.0011265 Text en © 2023 Feng et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Feng, Jiaxin
Zhang, Xia
Hu, Hehua
Gong, Yanfeng
Luo, Zhuowei
Xue, Jingbo
Cao, Chunli
Xu, Jing
Li, Shizhu
Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China
title Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China
title_full Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China
title_fullStr Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China
title_full_unstemmed Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China
title_short Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China
title_sort spatiotemporal distribution of schistosomiasis transmission risk in jiangling county, hubei province, p.r. china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159153/
https://www.ncbi.nlm.nih.gov/pubmed/37141201
http://dx.doi.org/10.1371/journal.pntd.0011265
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