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Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China

BACKGROUND: Bacillary dysentery is the third leading notifiable disease and remains a major public health concern in China. The Beijing–Tianjin–Hebei urban region is the biggest urban agglomeration in northern China, and it is one of the areas in the country that is most heavily infected with bacill...

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Autores principales: Xu, Chengdong, Li, Yuanyuan, Wang, Jinfeng, Xiao, Gexin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613329/
https://www.ncbi.nlm.nih.gov/pubmed/28946856
http://dx.doi.org/10.1186/s12889-017-4762-1
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author Xu, Chengdong
Li, Yuanyuan
Wang, Jinfeng
Xiao, Gexin
author_facet Xu, Chengdong
Li, Yuanyuan
Wang, Jinfeng
Xiao, Gexin
author_sort Xu, Chengdong
collection PubMed
description BACKGROUND: Bacillary dysentery is the third leading notifiable disease and remains a major public health concern in China. The Beijing–Tianjin–Hebei urban region is the biggest urban agglomeration in northern China, and it is one of the areas in the country that is most heavily infected with bacillary dysentery. The objective of the study was to analyze the spatial-temporal pattern and to determine any contributory risk factors on the bacillary dysentery. METHODS: Bacillary dysentery case data from 1 January 2012 to 31 December 2012 in Beijing–Tianjin– Hebei were employed. GeoDetector method was used to determine the impact of potential risk factors, and to identify regions and seasons at high risk of the disease. RESULTS: There were 36,472 cases of bacillary dysentery in 2012 in the study region. The incidence of bacillary dysentery varies widely amongst different age groups; the higher incidence of bacillary dysentery mainly occurs in the population under the age of five. Bacillary dysentery presents apparent seasonal variance, with the highest incidence occurring from June to September. In terms of the potential meteorological risk factors, mean temperature, relative humidity, precipitation, mean wind speed and sunshine hours explain the time variant of bacillary dysentery at 83%, 31%, 25%, 17% and 13%, respectively. The interactive effect between temperature and humidity has an explanatory power of 87%, indicating that a hot and humid environment is more likely to lead to the occurrence of bacillary dysentery. Socio-economic factors affect the spatial distribution of bacillary dysentery. The top four factors are age group, per capita GDP, population density and rural population proportion, and their determinant powers are 61%, 27%, 25% and 21%, respectively. The interactive effect between age group and the other factors accounts for more than 60% of bacillary dysentery transmission. CONCLUSIONS: Bacillary dysentery poses a higher risk in the population of children. It is affected by meteorological and socio-economic factors, and it is necessary to pay more attention to the meteorological period and situation, particularly in period with high temperature and humidity, as well as places in urban areas with high population density, and a low proportion of rural population.
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spelling pubmed-56133292017-10-11 Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China Xu, Chengdong Li, Yuanyuan Wang, Jinfeng Xiao, Gexin BMC Public Health Research Article BACKGROUND: Bacillary dysentery is the third leading notifiable disease and remains a major public health concern in China. The Beijing–Tianjin–Hebei urban region is the biggest urban agglomeration in northern China, and it is one of the areas in the country that is most heavily infected with bacillary dysentery. The objective of the study was to analyze the spatial-temporal pattern and to determine any contributory risk factors on the bacillary dysentery. METHODS: Bacillary dysentery case data from 1 January 2012 to 31 December 2012 in Beijing–Tianjin– Hebei were employed. GeoDetector method was used to determine the impact of potential risk factors, and to identify regions and seasons at high risk of the disease. RESULTS: There were 36,472 cases of bacillary dysentery in 2012 in the study region. The incidence of bacillary dysentery varies widely amongst different age groups; the higher incidence of bacillary dysentery mainly occurs in the population under the age of five. Bacillary dysentery presents apparent seasonal variance, with the highest incidence occurring from June to September. In terms of the potential meteorological risk factors, mean temperature, relative humidity, precipitation, mean wind speed and sunshine hours explain the time variant of bacillary dysentery at 83%, 31%, 25%, 17% and 13%, respectively. The interactive effect between temperature and humidity has an explanatory power of 87%, indicating that a hot and humid environment is more likely to lead to the occurrence of bacillary dysentery. Socio-economic factors affect the spatial distribution of bacillary dysentery. The top four factors are age group, per capita GDP, population density and rural population proportion, and their determinant powers are 61%, 27%, 25% and 21%, respectively. The interactive effect between age group and the other factors accounts for more than 60% of bacillary dysentery transmission. CONCLUSIONS: Bacillary dysentery poses a higher risk in the population of children. It is affected by meteorological and socio-economic factors, and it is necessary to pay more attention to the meteorological period and situation, particularly in period with high temperature and humidity, as well as places in urban areas with high population density, and a low proportion of rural population. BioMed Central 2017-09-25 /pmc/articles/PMC5613329/ /pubmed/28946856 http://dx.doi.org/10.1186/s12889-017-4762-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Xu, Chengdong
Li, Yuanyuan
Wang, Jinfeng
Xiao, Gexin
Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China
title Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China
title_full Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China
title_fullStr Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China
title_full_unstemmed Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China
title_short Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China
title_sort spatial-temporal detection of risk factors for bacillary dysentery in beijing, tianjin and hebei, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613329/
https://www.ncbi.nlm.nih.gov/pubmed/28946856
http://dx.doi.org/10.1186/s12889-017-4762-1
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