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The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016
BACKGROUND: Despite the considerable efforts made to address the issue of brucellosis worldwide, its prevalence in dairy products continues to be difficult to estimate and represents a key public health issue around the world today. The aim of the present study was to better understand the epidemiol...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099799/ https://www.ncbi.nlm.nih.gov/pubmed/32216760 http://dx.doi.org/10.1186/s12879-020-4946-7 |
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author | Liang, Peifeng Zhao, Yuan Zhao, Jianhua Pan, Dongfeng Guo, Zhongqin |
author_facet | Liang, Peifeng Zhao, Yuan Zhao, Jianhua Pan, Dongfeng Guo, Zhongqin |
author_sort | Liang, Peifeng |
collection | PubMed |
description | BACKGROUND: Despite the considerable efforts made to address the issue of brucellosis worldwide, its prevalence in dairy products continues to be difficult to estimate and represents a key public health issue around the world today. The aim of the present study was to better understand the epidemiology of this disease in mainland China. We set out to investigate the yearly spatial distribution and possible hotspots of the disease. METHODS: Human brucellosis data from mainland China between 2007 and 2016 were collected from the China Information System for Disease Control and Prevention. A geographic information system ArcGIS10.3 (ESRI, Redlands) was used to identify potential changes in the spatial and temporal distribution of human brucellosis in mainland China during the study period. These distributions were evaluated using three-dimensional trend analysis and spatial autocorrelation analyse. A gravity-center was used to analyse the migration track of human brucellosis. RESULTS: A total of 399,578 cases of human brucellosis were reported during the 10-year study period. The monthly incidence of brucellosis in China demonstrates clear seasonality. Spring and summer are the peak seasons, while May is the peak month for brucellosis. Three-dimensional trend analysis suggests that brucellosis is on the rise from south to north, and that the epidemic situation in northern China is more severe. Between 2007 and 2016, the overall migration distance of the brucellosis incidence gravity-center was 906.43 km, and the direction was southwest. However, the overall gravity center of brucellosis was still in the northern part of China. In the global autocorrelation analysis, brucellosis in China demonstrated a non-random distribution between 2013 and 2014, with spatial autocorrelation (Z > 1.96, P < 0.05) and a clustering trend, while no clustering trend was found from 2007 to 2012 or from 2015 to 2016. In the local autocorrelation analysis, a Low-Low cluster phenomenon was found in the south of China in 2013 and 2014. CONCLUSION: Human brucellosis remains a widespread challenge, particularly in northern China. The hotspots highlight potential high-risk areas which may require special plans and resources for monitoring and controlling the disease. |
format | Online Article Text |
id | pubmed-7099799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70997992020-03-30 The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016 Liang, Peifeng Zhao, Yuan Zhao, Jianhua Pan, Dongfeng Guo, Zhongqin BMC Infect Dis Research Article BACKGROUND: Despite the considerable efforts made to address the issue of brucellosis worldwide, its prevalence in dairy products continues to be difficult to estimate and represents a key public health issue around the world today. The aim of the present study was to better understand the epidemiology of this disease in mainland China. We set out to investigate the yearly spatial distribution and possible hotspots of the disease. METHODS: Human brucellosis data from mainland China between 2007 and 2016 were collected from the China Information System for Disease Control and Prevention. A geographic information system ArcGIS10.3 (ESRI, Redlands) was used to identify potential changes in the spatial and temporal distribution of human brucellosis in mainland China during the study period. These distributions were evaluated using three-dimensional trend analysis and spatial autocorrelation analyse. A gravity-center was used to analyse the migration track of human brucellosis. RESULTS: A total of 399,578 cases of human brucellosis were reported during the 10-year study period. The monthly incidence of brucellosis in China demonstrates clear seasonality. Spring and summer are the peak seasons, while May is the peak month for brucellosis. Three-dimensional trend analysis suggests that brucellosis is on the rise from south to north, and that the epidemic situation in northern China is more severe. Between 2007 and 2016, the overall migration distance of the brucellosis incidence gravity-center was 906.43 km, and the direction was southwest. However, the overall gravity center of brucellosis was still in the northern part of China. In the global autocorrelation analysis, brucellosis in China demonstrated a non-random distribution between 2013 and 2014, with spatial autocorrelation (Z > 1.96, P < 0.05) and a clustering trend, while no clustering trend was found from 2007 to 2012 or from 2015 to 2016. In the local autocorrelation analysis, a Low-Low cluster phenomenon was found in the south of China in 2013 and 2014. CONCLUSION: Human brucellosis remains a widespread challenge, particularly in northern China. The hotspots highlight potential high-risk areas which may require special plans and resources for monitoring and controlling the disease. BioMed Central 2020-03-27 /pmc/articles/PMC7099799/ /pubmed/32216760 http://dx.doi.org/10.1186/s12879-020-4946-7 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 Liang, Peifeng Zhao, Yuan Zhao, Jianhua Pan, Dongfeng Guo, Zhongqin The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016 |
title | The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016 |
title_full | The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016 |
title_fullStr | The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016 |
title_full_unstemmed | The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016 |
title_short | The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016 |
title_sort | spatiotemporal distribution of human brucellosis in mainland china from 2007-2016 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099799/ https://www.ncbi.nlm.nih.gov/pubmed/32216760 http://dx.doi.org/10.1186/s12879-020-4946-7 |
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