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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9590053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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