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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10204142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
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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