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Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China
Hemorrhagic fever with renal syndrome (HFRS) is a zoonosis characterized by clinical features of high fever, hemorrhage, and renal damage. China has the largest number of HFRS cases worldwide, accounting for over 90% of the total reported cases. In this paper, we used surveyed HFRS data and satellit...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782472/ https://www.ncbi.nlm.nih.gov/pubmed/35007298 http://dx.doi.org/10.1371/journal.pntd.0010094 |
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author | Shen, Li Sun, Minghao Wei, Xiao Bai, Yao Hu, Qingwu Song, Shuxuan Gao, Boxuan Zhang, Weilu Liu, Jifeng Shao, Zhongjun Liu, Kun |
author_facet | Shen, Li Sun, Minghao Wei, Xiao Bai, Yao Hu, Qingwu Song, Shuxuan Gao, Boxuan Zhang, Weilu Liu, Jifeng Shao, Zhongjun Liu, Kun |
author_sort | Shen, Li |
collection | PubMed |
description | Hemorrhagic fever with renal syndrome (HFRS) is a zoonosis characterized by clinical features of high fever, hemorrhage, and renal damage. China has the largest number of HFRS cases worldwide, accounting for over 90% of the total reported cases. In this paper, we used surveyed HFRS data and satellite imagery to conduct geostatistical analysis for investigating the associations of rapid urbanization, water bodies, and other factors on the spatiotemporal dynamics of HFRS from year 2005 to 2018 in Xi’an City, Northwest China. The results revealed an evident epidemic aggregation in the incidence of HFRS within Xi’an City with a phenomenal fluctuation in periodic time series. Rapid urbanization was found to greatly affect the HFRS incidence in two different time phases. HFRS caused by urbanization influences farmers to a lesser extent than it does to non-farmers. The association of water bodies with the HFRS incidence rate was found to be higher within the radii of 696.15 m and 1575.39 m, which represented significant thresholds. The results also showed that geomatics approaches can be used for spatiotemporally investigating the HFRS dynamic characteristics and supporting effective allocations of resources to formulate strategies for preventing epidemics. |
format | Online Article Text |
id | pubmed-8782472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87824722022-01-22 Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China Shen, Li Sun, Minghao Wei, Xiao Bai, Yao Hu, Qingwu Song, Shuxuan Gao, Boxuan Zhang, Weilu Liu, Jifeng Shao, Zhongjun Liu, Kun PLoS Negl Trop Dis Research Article Hemorrhagic fever with renal syndrome (HFRS) is a zoonosis characterized by clinical features of high fever, hemorrhage, and renal damage. China has the largest number of HFRS cases worldwide, accounting for over 90% of the total reported cases. In this paper, we used surveyed HFRS data and satellite imagery to conduct geostatistical analysis for investigating the associations of rapid urbanization, water bodies, and other factors on the spatiotemporal dynamics of HFRS from year 2005 to 2018 in Xi’an City, Northwest China. The results revealed an evident epidemic aggregation in the incidence of HFRS within Xi’an City with a phenomenal fluctuation in periodic time series. Rapid urbanization was found to greatly affect the HFRS incidence in two different time phases. HFRS caused by urbanization influences farmers to a lesser extent than it does to non-farmers. The association of water bodies with the HFRS incidence rate was found to be higher within the radii of 696.15 m and 1575.39 m, which represented significant thresholds. The results also showed that geomatics approaches can be used for spatiotemporally investigating the HFRS dynamic characteristics and supporting effective allocations of resources to formulate strategies for preventing epidemics. Public Library of Science 2022-01-10 /pmc/articles/PMC8782472/ /pubmed/35007298 http://dx.doi.org/10.1371/journal.pntd.0010094 Text en © 2022 Shen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Shen, Li Sun, Minghao Wei, Xiao Bai, Yao Hu, Qingwu Song, Shuxuan Gao, Boxuan Zhang, Weilu Liu, Jifeng Shao, Zhongjun Liu, Kun Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China |
title | Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China |
title_full | Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China |
title_fullStr | Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China |
title_full_unstemmed | Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China |
title_short | Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China |
title_sort | spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: a case study in the city of xi’an, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782472/ https://www.ncbi.nlm.nih.gov/pubmed/35007298 http://dx.doi.org/10.1371/journal.pntd.0010094 |
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