Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis.
BACKGROUND:Clonorchiasis, one of the most important food-borne trematodiases, affects more than 12 million people in the People's Republic of China (P.R. China). Spatially explicit risk estimates of Clonorchis sinensis infection are needed in order to target control interventions. METHODOLOGY:G...
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ftdoajarticles:oai:doaj.org/article:4bf1a318c01a4ddfa3e68bbbf8f50170 2023-05-15T15:14:10+02:00 Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis. Ying-Si Lai Xiao-Nong Zhou Zhi-Heng Pan Jürg Utzinger Penelope Vounatsou 2017-03-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0005239 https://doaj.org/article/4bf1a318c01a4ddfa3e68bbbf8f50170 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC5416880?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0005239 https://doaj.org/article/4bf1a318c01a4ddfa3e68bbbf8f50170 PLoS Neglected Tropical Diseases, Vol 11, Iss 3, p e0005239 (2017) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2017 ftdoajarticles https://doi.org/10.1371/journal.pntd.0005239 2022-12-31T14:10:45Z BACKGROUND:Clonorchiasis, one of the most important food-borne trematodiases, affects more than 12 million people in the People's Republic of China (P.R. China). Spatially explicit risk estimates of Clonorchis sinensis infection are needed in order to target control interventions. METHODOLOGY:Georeferenced survey data pertaining to infection prevalence of C. sinensis in P.R. China from 2000 onwards were obtained via a systematic review in PubMed, ISI Web of Science, Chinese National Knowledge Internet, and Wanfang Data from January 1, 2000 until January 10, 2016, with no restriction of language or study design. Additional disease data were provided by the National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention in Shanghai. Environmental and socioeconomic proxies were extracted from remote-sensing and other data sources. Bayesian variable selection was carried out to identify the most important predictors of C. sinensis risk. Geostatistical models were applied to quantify the association between infection risk and the predictors of the disease, and to predict the risk of infection across P.R. China at high spatial resolution (over a grid with grid cell size of 5×5 km). PRINCIPAL FINDINGS:We obtained clonorchiasis survey data at 633 unique locations in P.R. China. We observed that the risk of C. sinensis infection increased over time, particularly from 2005 onwards. We estimate that around 14.8 million (95% Bayesian credible interval 13.8-15.8 million) people in P.R. China were infected with C. sinensis in 2010. Highly endemic areas (≥ 20%) were concentrated in southern and northeastern parts of the country. The provinces with the highest risk of infection and the largest number of infected people were Guangdong, Guangxi, and Heilongjiang. CONCLUSIONS/SIGNIFICANCE:Our results provide spatially relevant information for guiding clonorchiasis control interventions in P.R. China. The trend toward higher risk of C. sinensis infection in the recent past urges the Chinese government ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Isi ENVELOPE(-38.550,-38.550,65.617,65.617) PLOS Neglected Tropical Diseases 11 3 e0005239 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Ying-Si Lai Xiao-Nong Zhou Zhi-Heng Pan Jürg Utzinger Penelope Vounatsou Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
BACKGROUND:Clonorchiasis, one of the most important food-borne trematodiases, affects more than 12 million people in the People's Republic of China (P.R. China). Spatially explicit risk estimates of Clonorchis sinensis infection are needed in order to target control interventions. METHODOLOGY:Georeferenced survey data pertaining to infection prevalence of C. sinensis in P.R. China from 2000 onwards were obtained via a systematic review in PubMed, ISI Web of Science, Chinese National Knowledge Internet, and Wanfang Data from January 1, 2000 until January 10, 2016, with no restriction of language or study design. Additional disease data were provided by the National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention in Shanghai. Environmental and socioeconomic proxies were extracted from remote-sensing and other data sources. Bayesian variable selection was carried out to identify the most important predictors of C. sinensis risk. Geostatistical models were applied to quantify the association between infection risk and the predictors of the disease, and to predict the risk of infection across P.R. China at high spatial resolution (over a grid with grid cell size of 5×5 km). PRINCIPAL FINDINGS:We obtained clonorchiasis survey data at 633 unique locations in P.R. China. We observed that the risk of C. sinensis infection increased over time, particularly from 2005 onwards. We estimate that around 14.8 million (95% Bayesian credible interval 13.8-15.8 million) people in P.R. China were infected with C. sinensis in 2010. Highly endemic areas (≥ 20%) were concentrated in southern and northeastern parts of the country. The provinces with the highest risk of infection and the largest number of infected people were Guangdong, Guangxi, and Heilongjiang. CONCLUSIONS/SIGNIFICANCE:Our results provide spatially relevant information for guiding clonorchiasis control interventions in P.R. China. The trend toward higher risk of C. sinensis infection in the recent past urges the Chinese government ... |
format |
Article in Journal/Newspaper |
author |
Ying-Si Lai Xiao-Nong Zhou Zhi-Heng Pan Jürg Utzinger Penelope Vounatsou |
author_facet |
Ying-Si Lai Xiao-Nong Zhou Zhi-Heng Pan Jürg Utzinger Penelope Vounatsou |
author_sort |
Ying-Si Lai |
title |
Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis. |
title_short |
Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis. |
title_full |
Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis. |
title_fullStr |
Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis. |
title_full_unstemmed |
Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis. |
title_sort |
risk mapping of clonorchiasis in the people's republic of china: a systematic review and bayesian geostatistical analysis. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2017 |
url |
https://doi.org/10.1371/journal.pntd.0005239 https://doaj.org/article/4bf1a318c01a4ddfa3e68bbbf8f50170 |
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ENVELOPE(-38.550,-38.550,65.617,65.617) |
geographic |
Arctic Isi |
geographic_facet |
Arctic Isi |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 11, Iss 3, p e0005239 (2017) |
op_relation |
http://europepmc.org/articles/PMC5416880?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0005239 https://doaj.org/article/4bf1a318c01a4ddfa3e68bbbf8f50170 |
op_doi |
https://doi.org/10.1371/journal.pntd.0005239 |
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PLOS Neglected Tropical Diseases |
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11 |
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3 |
container_start_page |
e0005239 |
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