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Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005–2014

Mumps presents a serious threat to public health in China. We conducted a descriptive analysis to identify the epidemiological characteristics of mumps in Shandong Province. Spatial autocorrelation and space-time scan analyses were utilized to detect spatial-temporal clusters. From 2005 to 2014, 115...

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Autores principales: Li, Runzi, Cheng, Shenghui, Luo, Cheng, Rutherford, Shannon, Cao, Jin, Xu, Qinqin, Liu, Xiaodong, Liu, Yanxun, Xue, Fuzhong, Xu, Qing, Li, Xiujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387744/
https://www.ncbi.nlm.nih.gov/pubmed/28397866
http://dx.doi.org/10.1038/srep46328
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author Li, Runzi
Cheng, Shenghui
Luo, Cheng
Rutherford, Shannon
Cao, Jin
Xu, Qinqin
Liu, Xiaodong
Liu, Yanxun
Xue, Fuzhong
Xu, Qing
Li, Xiujun
author_facet Li, Runzi
Cheng, Shenghui
Luo, Cheng
Rutherford, Shannon
Cao, Jin
Xu, Qinqin
Liu, Xiaodong
Liu, Yanxun
Xue, Fuzhong
Xu, Qing
Li, Xiujun
author_sort Li, Runzi
collection PubMed
description Mumps presents a serious threat to public health in China. We conducted a descriptive analysis to identify the epidemiological characteristics of mumps in Shandong Province. Spatial autocorrelation and space-time scan analyses were utilized to detect spatial-temporal clusters. From 2005 to 2014, 115745 mumps cases were reported in Shandong, with an average male-to-female ratio of 1.94. Mumps occurred mostly in spring (32.17% of all reported cases) and in children aged 5 to 9 (40.79% of all reported cases). The Moran’s I test was significant and local indicators of spatial autocorrelation (LISA) analysis revealed significant spatial clusters with high incidence. The results showed that the mid-west of Shandong Province and some coastal regions (Qingdao City and Weihai City) were high-risk areas, particularly in the center of the Jining City and the junction of Dongying City, Binzhou City and Zibo City. The results could assist local and national public health agencies in formulating better public health strategic planning and resource allocation.
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spelling pubmed-53877442017-04-14 Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005–2014 Li, Runzi Cheng, Shenghui Luo, Cheng Rutherford, Shannon Cao, Jin Xu, Qinqin Liu, Xiaodong Liu, Yanxun Xue, Fuzhong Xu, Qing Li, Xiujun Sci Rep Article Mumps presents a serious threat to public health in China. We conducted a descriptive analysis to identify the epidemiological characteristics of mumps in Shandong Province. Spatial autocorrelation and space-time scan analyses were utilized to detect spatial-temporal clusters. From 2005 to 2014, 115745 mumps cases were reported in Shandong, with an average male-to-female ratio of 1.94. Mumps occurred mostly in spring (32.17% of all reported cases) and in children aged 5 to 9 (40.79% of all reported cases). The Moran’s I test was significant and local indicators of spatial autocorrelation (LISA) analysis revealed significant spatial clusters with high incidence. The results showed that the mid-west of Shandong Province and some coastal regions (Qingdao City and Weihai City) were high-risk areas, particularly in the center of the Jining City and the junction of Dongying City, Binzhou City and Zibo City. The results could assist local and national public health agencies in formulating better public health strategic planning and resource allocation. Nature Publishing Group 2017-04-11 /pmc/articles/PMC5387744/ /pubmed/28397866 http://dx.doi.org/10.1038/srep46328 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Li, Runzi
Cheng, Shenghui
Luo, Cheng
Rutherford, Shannon
Cao, Jin
Xu, Qinqin
Liu, Xiaodong
Liu, Yanxun
Xue, Fuzhong
Xu, Qing
Li, Xiujun
Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005–2014
title Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005–2014
title_full Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005–2014
title_fullStr Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005–2014
title_full_unstemmed Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005–2014
title_short Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005–2014
title_sort epidemiological characteristics and spatial-temporal clusters of mumps in shandong province, china, 2005–2014
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387744/
https://www.ncbi.nlm.nih.gov/pubmed/28397866
http://dx.doi.org/10.1038/srep46328
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