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Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014

BACKGROUND: The incidence of hand, foot, and mouth disease (HFMD) is extremely high, and has constituted a huge disease burden throughout Beijing in recent years. This study aimed to determine the spatiotemporal distribution and epidemic characteristics of HFMD. METHODS: Descriptive statistics was u...

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Autores principales: Qian, Haikun, Huo, Da, Wang, Xiaoli, Jia, Lei, Li, Xitai, Li, Jie, Gao, Zhiyong, Liu, Baiwei, Tian, Yi, Wu, Xiaona, Wang, Quanyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869292/
https://www.ncbi.nlm.nih.gov/pubmed/27184561
http://dx.doi.org/10.1186/s12879-016-1547-6
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author Qian, Haikun
Huo, Da
Wang, Xiaoli
Jia, Lei
Li, Xitai
Li, Jie
Gao, Zhiyong
Liu, Baiwei
Tian, Yi
Wu, Xiaona
Wang, Quanyi
author_facet Qian, Haikun
Huo, Da
Wang, Xiaoli
Jia, Lei
Li, Xitai
Li, Jie
Gao, Zhiyong
Liu, Baiwei
Tian, Yi
Wu, Xiaona
Wang, Quanyi
author_sort Qian, Haikun
collection PubMed
description BACKGROUND: The incidence of hand, foot, and mouth disease (HFMD) is extremely high, and has constituted a huge disease burden throughout Beijing in recent years. This study aimed to determine the spatiotemporal distribution and epidemic characteristics of HFMD. METHODS: Descriptive statistics was used to analyze the data and estimate the epidemic peaks in 2009–2014. Space–time scanning detected spatiotemporal clusters and identified high-risk locations. Global and local Moran’s I statistics were used to measure the spatial autocorrelation. Geocoding was performed in ArcGIS, based on the present address codes of the patients and the centroids of the towns. Maps were created in ArcGIS to show the geographic spread of HFMD. RESULTS: In total, 220,451probable cases of HFMD were reported in Beijing between January 2009 and December 2014: 12,749 (5.78 %) were laboratory confirmed, and 35 (0.02 %) were fatal. The median age of reported cases was 3.12 years (interquartile range 1.96–4.39). Coxsackievirus A16 (CV-A16), enterovirus 71 (EV-A71), and other enteroviruses accounted for 39.31, 35.36, and 25.33 % of the 12,749 confirmed cases, respectively. Many more severe cases were caused by EV-A71 (χ(2) = 186.41, df = 1, P < 0.001) and other enteroviruses (χ(2) = 156.44, df = 1, P < 0.001) than by CV-A16. A large single distinct peak occurred between May and July each year. Spatiotemporal clusters of HFMD were identified in Beijing during 2009–2014. The most likely clusters were detected and tended to move from the southwest (Fengtai and Daxing) southeastwards to Daxing and Tongzhou in 2009–2014. The incidence of HFMD was not randomly distributed, but showed global and local spatial autocorrelations. CONCLUSIONS: There were obvious spatiotemporal clusters of HFMD in Beijing in 2009–2014. High-incidence areas mainly occurred at the junctions of urban and rural zones. More attention should be paid to the epidemiological and spatiotemporal characteristics of HFMD to establish new strategies for its control. Health issues should be especially promoted in kindergartens and at urban–rural junctions.
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spelling pubmed-48692922016-06-01 Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014 Qian, Haikun Huo, Da Wang, Xiaoli Jia, Lei Li, Xitai Li, Jie Gao, Zhiyong Liu, Baiwei Tian, Yi Wu, Xiaona Wang, Quanyi BMC Infect Dis Research Article BACKGROUND: The incidence of hand, foot, and mouth disease (HFMD) is extremely high, and has constituted a huge disease burden throughout Beijing in recent years. This study aimed to determine the spatiotemporal distribution and epidemic characteristics of HFMD. METHODS: Descriptive statistics was used to analyze the data and estimate the epidemic peaks in 2009–2014. Space–time scanning detected spatiotemporal clusters and identified high-risk locations. Global and local Moran’s I statistics were used to measure the spatial autocorrelation. Geocoding was performed in ArcGIS, based on the present address codes of the patients and the centroids of the towns. Maps were created in ArcGIS to show the geographic spread of HFMD. RESULTS: In total, 220,451probable cases of HFMD were reported in Beijing between January 2009 and December 2014: 12,749 (5.78 %) were laboratory confirmed, and 35 (0.02 %) were fatal. The median age of reported cases was 3.12 years (interquartile range 1.96–4.39). Coxsackievirus A16 (CV-A16), enterovirus 71 (EV-A71), and other enteroviruses accounted for 39.31, 35.36, and 25.33 % of the 12,749 confirmed cases, respectively. Many more severe cases were caused by EV-A71 (χ(2) = 186.41, df = 1, P < 0.001) and other enteroviruses (χ(2) = 156.44, df = 1, P < 0.001) than by CV-A16. A large single distinct peak occurred between May and July each year. Spatiotemporal clusters of HFMD were identified in Beijing during 2009–2014. The most likely clusters were detected and tended to move from the southwest (Fengtai and Daxing) southeastwards to Daxing and Tongzhou in 2009–2014. The incidence of HFMD was not randomly distributed, but showed global and local spatial autocorrelations. CONCLUSIONS: There were obvious spatiotemporal clusters of HFMD in Beijing in 2009–2014. High-incidence areas mainly occurred at the junctions of urban and rural zones. More attention should be paid to the epidemiological and spatiotemporal characteristics of HFMD to establish new strategies for its control. Health issues should be especially promoted in kindergartens and at urban–rural junctions. BioMed Central 2016-05-17 /pmc/articles/PMC4869292/ /pubmed/27184561 http://dx.doi.org/10.1186/s12879-016-1547-6 Text en © Qian et al. 2016 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
Qian, Haikun
Huo, Da
Wang, Xiaoli
Jia, Lei
Li, Xitai
Li, Jie
Gao, Zhiyong
Liu, Baiwei
Tian, Yi
Wu, Xiaona
Wang, Quanyi
Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014
title Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014
title_full Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014
title_fullStr Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014
title_full_unstemmed Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014
title_short Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014
title_sort detecting spatial-temporal cluster of hand foot and mouth disease in beijing, china, 2009-2014
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869292/
https://www.ncbi.nlm.nih.gov/pubmed/27184561
http://dx.doi.org/10.1186/s12879-016-1547-6
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