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Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis
BACKGROUND: Although visceral leishmaniasis (VL), a disease caused by parasites, is controlled in most provinces in China, it is still a serious public health problem and remains fundamentally uncontrolled in some northwest provinces and autonomous regions. The objective of this study is to explore...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713028/ https://www.ncbi.nlm.nih.gov/pubmed/33267898 http://dx.doi.org/10.1186/s40249-020-00782-4 |
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author | Zheng, Canjun Wang, Liping Li, Yi Zhou, Xiao-Nong |
author_facet | Zheng, Canjun Wang, Liping Li, Yi Zhou, Xiao-Nong |
author_sort | Zheng, Canjun |
collection | PubMed |
description | BACKGROUND: Although visceral leishmaniasis (VL), a disease caused by parasites, is controlled in most provinces in China, it is still a serious public health problem and remains fundamentally uncontrolled in some northwest provinces and autonomous regions. The objective of this study is to explore the spatial and temporal characteristics of VL in Sichuan Province, Gansu Province and Xinjiang Uygur Autonomous Region in China from 2004 to 2018 and to identify the risk areas for VL transmission. METHODS: Spatiotemporal models were applied to explore the spatio-temporal distribution characteristics of VL and the association between VL and meteorological factors in western China from 2004 to 2018. Geographic information of patients from the National Diseases Reporting Information System operated by the Chinese Center for Disease Control and Prevention was defined according to the address code from the surveillance data. RESULTS: During our study period, nearly 90% of cases occurred in some counties in three western regions (Sichuan Province, Gansu Province and Xinjiang Uygur Autonomous Region), and a significant spatial clustering pattern was observed. With our spatiotemporal model, the transmission risk, autoregressive risk and epidemic risk of these counties during our study period were also well predicted. The number of VL cases in three regions of western China concentrated on a few of counties. VL in Kashi Prefecture, Xinjiang Uygur Autonomous Region is still serious prevalent, and integrated control measures must be taken in different endemic areas. CONCLUSIONS: The number of VL cases in three regions of western China concentrated on a few of counties. VL in Kashi Prefecture, Xinjiang Uygur Autonomous Region is still serious prevalent, and integrated control measures must be taken in different endemic areas. Our findings will strengthen the VL control programme in China. |
format | Online Article Text |
id | pubmed-7713028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77130282020-12-03 Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis Zheng, Canjun Wang, Liping Li, Yi Zhou, Xiao-Nong Infect Dis Poverty Research Article BACKGROUND: Although visceral leishmaniasis (VL), a disease caused by parasites, is controlled in most provinces in China, it is still a serious public health problem and remains fundamentally uncontrolled in some northwest provinces and autonomous regions. The objective of this study is to explore the spatial and temporal characteristics of VL in Sichuan Province, Gansu Province and Xinjiang Uygur Autonomous Region in China from 2004 to 2018 and to identify the risk areas for VL transmission. METHODS: Spatiotemporal models were applied to explore the spatio-temporal distribution characteristics of VL and the association between VL and meteorological factors in western China from 2004 to 2018. Geographic information of patients from the National Diseases Reporting Information System operated by the Chinese Center for Disease Control and Prevention was defined according to the address code from the surveillance data. RESULTS: During our study period, nearly 90% of cases occurred in some counties in three western regions (Sichuan Province, Gansu Province and Xinjiang Uygur Autonomous Region), and a significant spatial clustering pattern was observed. With our spatiotemporal model, the transmission risk, autoregressive risk and epidemic risk of these counties during our study period were also well predicted. The number of VL cases in three regions of western China concentrated on a few of counties. VL in Kashi Prefecture, Xinjiang Uygur Autonomous Region is still serious prevalent, and integrated control measures must be taken in different endemic areas. CONCLUSIONS: The number of VL cases in three regions of western China concentrated on a few of counties. VL in Kashi Prefecture, Xinjiang Uygur Autonomous Region is still serious prevalent, and integrated control measures must be taken in different endemic areas. Our findings will strengthen the VL control programme in China. BioMed Central 2020-12-03 /pmc/articles/PMC7713028/ /pubmed/33267898 http://dx.doi.org/10.1186/s40249-020-00782-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zheng, Canjun Wang, Liping Li, Yi Zhou, Xiao-Nong Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis |
title | Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis |
title_full | Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis |
title_fullStr | Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis |
title_full_unstemmed | Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis |
title_short | Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis |
title_sort | visceral leishmaniasis in northwest china from 2004 to 2018: a spatio-temporal analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713028/ https://www.ncbi.nlm.nih.gov/pubmed/33267898 http://dx.doi.org/10.1186/s40249-020-00782-4 |
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