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Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019

The resurgence and outbreaks of mumps occur frequently in many countries worldwide in recent years, even in countries with high vaccination coverage. In this study, a descriptive and spatiotemporal clustering analysis at the township level was conducted to explore the dynamic spatiotemporal aggregat...

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Autores principales: Peng, Ying, Wang, Peng, Kong, De-guang, Li, Wen-zhen, Wang, Dong-ming, Cai, Li, Lu, Sha, Yu, Bin, Chen, Bang-hua, Liu, Pu-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204142/
https://www.ncbi.nlm.nih.gov/pubmed/37114752
http://dx.doi.org/10.1017/S0950268823000304
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author Peng, Ying
Wang, Peng
Kong, De-guang
Li, Wen-zhen
Wang, Dong-ming
Cai, Li
Lu, Sha
Yu, Bin
Chen, Bang-hua
Liu, Pu-Lin
author_facet Peng, Ying
Wang, Peng
Kong, De-guang
Li, Wen-zhen
Wang, Dong-ming
Cai, Li
Lu, Sha
Yu, Bin
Chen, Bang-hua
Liu, Pu-Lin
author_sort Peng, Ying
collection PubMed
description The resurgence and outbreaks of mumps occur frequently in many countries worldwide in recent years, even in countries with high vaccination coverage. In this study, a descriptive and spatiotemporal clustering analysis at the township level was conducted to explore the dynamic spatiotemporal aggregation and epidemiological characteristics of mumps in Wuhan. During 2005 and 2019, there were 40 685 cases reported in Wuhan, with an average annual morbidity of 28.11 per 100 000 populations. The morbidity showed a fluctuating tendency, and peaked in 2010 and 2018. Bimodal seasonality was found, with a large peak between May and July, and a mild peak from November to January in the following year. Male students aged 5–9-year-old were the main risk group of mumps infection. Significant global spatial auto-correlation was detected except in 2007, 2009 and 2015. The spatial and temporal scan statistics indicated that the hot-spots mainly located at the western and southern areas of Wuhan with variations almost every year. Our findings could assist the public health authorities to develop and improve targeted health strategies, and allocate health resources rationally.
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spelling pubmed-102041422023-05-24 Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019 Peng, Ying Wang, Peng Kong, De-guang Li, Wen-zhen Wang, Dong-ming Cai, Li Lu, Sha Yu, Bin Chen, Bang-hua Liu, Pu-Lin Epidemiol Infect Original Paper The resurgence and outbreaks of mumps occur frequently in many countries worldwide in recent years, even in countries with high vaccination coverage. In this study, a descriptive and spatiotemporal clustering analysis at the township level was conducted to explore the dynamic spatiotemporal aggregation and epidemiological characteristics of mumps in Wuhan. During 2005 and 2019, there were 40 685 cases reported in Wuhan, with an average annual morbidity of 28.11 per 100 000 populations. The morbidity showed a fluctuating tendency, and peaked in 2010 and 2018. Bimodal seasonality was found, with a large peak between May and July, and a mild peak from November to January in the following year. Male students aged 5–9-year-old were the main risk group of mumps infection. Significant global spatial auto-correlation was detected except in 2007, 2009 and 2015. The spatial and temporal scan statistics indicated that the hot-spots mainly located at the western and southern areas of Wuhan with variations almost every year. Our findings could assist the public health authorities to develop and improve targeted health strategies, and allocate health resources rationally. Cambridge University Press 2023-02-27 /pmc/articles/PMC10204142/ /pubmed/37114752 http://dx.doi.org/10.1017/S0950268823000304 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Paper
Peng, Ying
Wang, Peng
Kong, De-guang
Li, Wen-zhen
Wang, Dong-ming
Cai, Li
Lu, Sha
Yu, Bin
Chen, Bang-hua
Liu, Pu-Lin
Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019
title Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019
title_full Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019
title_fullStr Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019
title_full_unstemmed Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019
title_short Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019
title_sort epidemiological characteristics and spatiotemporal analysis of mumps at township level in wuhan, china, 2005–2019
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204142/
https://www.ncbi.nlm.nih.gov/pubmed/37114752
http://dx.doi.org/10.1017/S0950268823000304
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