Prevalence and spatial distribution characteristics of human echinococcosis in China.
Background Echinococcosis is a zoonotic parasitic disease caused by larval stages of cestodes belonging to the genus Echinococcus. The infection affects people's health and safety as well as agropastoral sector. In China, human echinococcosis is a major public health burden, especially in weste...
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ftdoajarticles:oai:doaj.org/article:cc0e297ca898499a8e916522dea74584 2023-05-15T15:16:25+02:00 Prevalence and spatial distribution characteristics of human echinococcosis in China. Li-Ying Wang Min Qin Ze-Hang Liu Wei-Ping Wu Ning Xiao Xiao-Nong Zhou Sylvie Manguin Laurent Gavotte Roger Frutos 2021-12-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0009996 https://doaj.org/article/cc0e297ca898499a8e916522dea74584 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0009996 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009996 https://doaj.org/article/cc0e297ca898499a8e916522dea74584 PLoS Neglected Tropical Diseases, Vol 15, Iss 12, p e0009996 (2021) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2021 ftdoajarticles https://doi.org/10.1371/journal.pntd.0009996 2022-12-31T13:45:45Z Background Echinococcosis is a zoonotic parasitic disease caused by larval stages of cestodes belonging to the genus Echinococcus. The infection affects people's health and safety as well as agropastoral sector. In China, human echinococcosis is a major public health burden, especially in western China. Echinococcosis affects people health as well as agricultural and pastoral economy. Therefore, it is important to understand the prevalence status and spatial distribution of human echinococcosis in order to advance our knowledge of basic information for prevention and control measures reinforcement. Methods Report data on echinococcosis were collected in 370 counties in China in 2018 and were used to assess prevalence and spatial distribution. SPSS 21.0 was used to obtain the prevalence rate for CE and AE. For statistical analyses and mapping, all data were processed using SPSS 21.0 and ArcGIS 10.4, respectively. Chi-square test and Exact probability method were used to assess spatial autocorrelation and spatial clustering. Results A total of 47,278 cases of echinococcosis were recorded in 2018 in 370 endemic counties in China. The prevalence rate of human echinococcosis was 10.57 per 10,000. Analysis of the disease prevalence showed obvious spatial positive autocorrelation in globle spatial autocorrelation with two aggregation modes in local spatial autocorrelation, namely high-high and low-high aggregation areas. The high-high gathering areas were mainly concentrated in northern Tibet, western Qinghai, and Ganzi in the Tibetan Autonomous Region and in Sichuan. The low-high clusters were concentrated in Gamba, Kangma and Yadong counties of Tibet. In addition, spatial scanning analysis revealed two spatial clusters. One type of spatial clusters included 71 counties in Tibet Autonomous Region, 22 counties in Qinghai, 11 counties in Sichuan, three counties in Xinjiang Uygur Autonomous Region, two counties in Yunnan, and one county in Gansu. In the second category, six types of spatial clusters were observed in the ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 15 12 e0009996 |
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Directory of Open Access Journals: DOAJ Articles |
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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 Li-Ying Wang Min Qin Ze-Hang Liu Wei-Ping Wu Ning Xiao Xiao-Nong Zhou Sylvie Manguin Laurent Gavotte Roger Frutos Prevalence and spatial distribution characteristics of human echinococcosis in China. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Background Echinococcosis is a zoonotic parasitic disease caused by larval stages of cestodes belonging to the genus Echinococcus. The infection affects people's health and safety as well as agropastoral sector. In China, human echinococcosis is a major public health burden, especially in western China. Echinococcosis affects people health as well as agricultural and pastoral economy. Therefore, it is important to understand the prevalence status and spatial distribution of human echinococcosis in order to advance our knowledge of basic information for prevention and control measures reinforcement. Methods Report data on echinococcosis were collected in 370 counties in China in 2018 and were used to assess prevalence and spatial distribution. SPSS 21.0 was used to obtain the prevalence rate for CE and AE. For statistical analyses and mapping, all data were processed using SPSS 21.0 and ArcGIS 10.4, respectively. Chi-square test and Exact probability method were used to assess spatial autocorrelation and spatial clustering. Results A total of 47,278 cases of echinococcosis were recorded in 2018 in 370 endemic counties in China. The prevalence rate of human echinococcosis was 10.57 per 10,000. Analysis of the disease prevalence showed obvious spatial positive autocorrelation in globle spatial autocorrelation with two aggregation modes in local spatial autocorrelation, namely high-high and low-high aggregation areas. The high-high gathering areas were mainly concentrated in northern Tibet, western Qinghai, and Ganzi in the Tibetan Autonomous Region and in Sichuan. The low-high clusters were concentrated in Gamba, Kangma and Yadong counties of Tibet. In addition, spatial scanning analysis revealed two spatial clusters. One type of spatial clusters included 71 counties in Tibet Autonomous Region, 22 counties in Qinghai, 11 counties in Sichuan, three counties in Xinjiang Uygur Autonomous Region, two counties in Yunnan, and one county in Gansu. In the second category, six types of spatial clusters were observed in the ... |
format |
Article in Journal/Newspaper |
author |
Li-Ying Wang Min Qin Ze-Hang Liu Wei-Ping Wu Ning Xiao Xiao-Nong Zhou Sylvie Manguin Laurent Gavotte Roger Frutos |
author_facet |
Li-Ying Wang Min Qin Ze-Hang Liu Wei-Ping Wu Ning Xiao Xiao-Nong Zhou Sylvie Manguin Laurent Gavotte Roger Frutos |
author_sort |
Li-Ying Wang |
title |
Prevalence and spatial distribution characteristics of human echinococcosis in China. |
title_short |
Prevalence and spatial distribution characteristics of human echinococcosis in China. |
title_full |
Prevalence and spatial distribution characteristics of human echinococcosis in China. |
title_fullStr |
Prevalence and spatial distribution characteristics of human echinococcosis in China. |
title_full_unstemmed |
Prevalence and spatial distribution characteristics of human echinococcosis in China. |
title_sort |
prevalence and spatial distribution characteristics of human echinococcosis in china. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pntd.0009996 https://doaj.org/article/cc0e297ca898499a8e916522dea74584 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 15, Iss 12, p e0009996 (2021) |
op_relation |
https://doi.org/10.1371/journal.pntd.0009996 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009996 https://doaj.org/article/cc0e297ca898499a8e916522dea74584 |
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https://doi.org/10.1371/journal.pntd.0009996 |
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