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Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People’s Republic of China

Understanding the spatial distribution of schistosome infection is critical for tailoring preventive measures to control and eliminate schistosomiasis. This study used spatial analysis to determine risk factors that may impact Schistosoma japonicum infection and predict risk in Hunan and Jiangxi Pro...

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Autores principales: Alene, Kefyalew Addis, Gordon, Catherine A., Clements, Archie C. A., Williams, Gail M., Gray, Darren J., Zhou, Xiao-Nong, Li, Yuesheng, Utzinger, Jürg, Kurscheid, Johanna, Forsyth, Simon, Zhou, Jie, Li, Zhaojun, Li, Guangpin, Lin, Dandan, Lou, Zhihong, Li, Shengming, Ge, Jun, Xu, Jing, Yu, Xinling, Hu, Fei, Xie, Shuying, McManus, Donald P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590053/
https://www.ncbi.nlm.nih.gov/pubmed/36278592
http://dx.doi.org/10.3390/diseases10040093
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author Alene, Kefyalew Addis
Gordon, Catherine A.
Clements, Archie C. A.
Williams, Gail M.
Gray, Darren J.
Zhou, Xiao-Nong
Li, Yuesheng
Utzinger, Jürg
Kurscheid, Johanna
Forsyth, Simon
Zhou, Jie
Li, Zhaojun
Li, Guangpin
Lin, Dandan
Lou, Zhihong
Li, Shengming
Ge, Jun
Xu, Jing
Yu, Xinling
Hu, Fei
Xie, Shuying
McManus, Donald P.
author_facet Alene, Kefyalew Addis
Gordon, Catherine A.
Clements, Archie C. A.
Williams, Gail M.
Gray, Darren J.
Zhou, Xiao-Nong
Li, Yuesheng
Utzinger, Jürg
Kurscheid, Johanna
Forsyth, Simon
Zhou, Jie
Li, Zhaojun
Li, Guangpin
Lin, Dandan
Lou, Zhihong
Li, Shengming
Ge, Jun
Xu, Jing
Yu, Xinling
Hu, Fei
Xie, Shuying
McManus, Donald P.
author_sort Alene, Kefyalew Addis
collection PubMed
description Understanding the spatial distribution of schistosome infection is critical for tailoring preventive measures to control and eliminate schistosomiasis. This study used spatial analysis to determine risk factors that may impact Schistosoma japonicum infection and predict risk in Hunan and Jiangxi Provinces in the People’s Republic of China. The study employed survey data collected in Hunan and Jiangxi in 2016. Independent variable data were obtained from publicly available sources. Bayesian-based geostatistics was used to build models with covariate fixed effects and spatial random effects to identify factors associated with the spatial distribution of infection. Prevalence of schistosomiasis was higher in Hunan (12.8%) than Jiangxi (2.6%). Spatial distribution of schistosomiasis varied at pixel level (0.1 × 0.1 km), and was significantly associated with distance to nearest waterbody (km, β = −1.158; 95% credible interval [CrI]: −2.104, −0.116) in Hunan and temperature (°C, β = −4.359; 95% CrI: −9.641, −0.055) in Jiangxi. The spatial distribution of schistosomiasis in Hunan and Jiangxi varied substantially and was significantly associated with distance to nearest waterbody. Prevalence of schistosomiasis decreased with increasing distance to nearest waterbody in Hunan, indicating that schistosomiasis control should target individuals in close proximity to open water sources as they are at highest risk of infection.
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spelling pubmed-95900532022-10-25 Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People’s Republic of China Alene, Kefyalew Addis Gordon, Catherine A. Clements, Archie C. A. Williams, Gail M. Gray, Darren J. Zhou, Xiao-Nong Li, Yuesheng Utzinger, Jürg Kurscheid, Johanna Forsyth, Simon Zhou, Jie Li, Zhaojun Li, Guangpin Lin, Dandan Lou, Zhihong Li, Shengming Ge, Jun Xu, Jing Yu, Xinling Hu, Fei Xie, Shuying McManus, Donald P. Diseases Article Understanding the spatial distribution of schistosome infection is critical for tailoring preventive measures to control and eliminate schistosomiasis. This study used spatial analysis to determine risk factors that may impact Schistosoma japonicum infection and predict risk in Hunan and Jiangxi Provinces in the People’s Republic of China. The study employed survey data collected in Hunan and Jiangxi in 2016. Independent variable data were obtained from publicly available sources. Bayesian-based geostatistics was used to build models with covariate fixed effects and spatial random effects to identify factors associated with the spatial distribution of infection. Prevalence of schistosomiasis was higher in Hunan (12.8%) than Jiangxi (2.6%). Spatial distribution of schistosomiasis varied at pixel level (0.1 × 0.1 km), and was significantly associated with distance to nearest waterbody (km, β = −1.158; 95% credible interval [CrI]: −2.104, −0.116) in Hunan and temperature (°C, β = −4.359; 95% CrI: −9.641, −0.055) in Jiangxi. The spatial distribution of schistosomiasis in Hunan and Jiangxi varied substantially and was significantly associated with distance to nearest waterbody. Prevalence of schistosomiasis decreased with increasing distance to nearest waterbody in Hunan, indicating that schistosomiasis control should target individuals in close proximity to open water sources as they are at highest risk of infection. MDPI 2022-10-19 /pmc/articles/PMC9590053/ /pubmed/36278592 http://dx.doi.org/10.3390/diseases10040093 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alene, Kefyalew Addis
Gordon, Catherine A.
Clements, Archie C. A.
Williams, Gail M.
Gray, Darren J.
Zhou, Xiao-Nong
Li, Yuesheng
Utzinger, Jürg
Kurscheid, Johanna
Forsyth, Simon
Zhou, Jie
Li, Zhaojun
Li, Guangpin
Lin, Dandan
Lou, Zhihong
Li, Shengming
Ge, Jun
Xu, Jing
Yu, Xinling
Hu, Fei
Xie, Shuying
McManus, Donald P.
Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People’s Republic of China
title Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People’s Republic of China
title_full Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People’s Republic of China
title_fullStr Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People’s Republic of China
title_full_unstemmed Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People’s Republic of China
title_short Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People’s Republic of China
title_sort spatial analysis of schistosomiasis in hunan and jiangxi provinces in the people’s republic of china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590053/
https://www.ncbi.nlm.nih.gov/pubmed/36278592
http://dx.doi.org/10.3390/diseases10040093
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