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Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018

Although immunization against varicella using vaccines has been proven to be significant and effective in the past decades, varicella remains a major public health concern for many developing countries. Varicella vaccination has not been introduced into routine immunization programs in China, and va...

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Autores principales: Zhu, Hua, Zhao, Han, Ou, Rong, Zeng, Qing, Hu, Ling, Qiu, Hongfang, Sharma, Manoj, Ye, Mengliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013978/
https://www.ncbi.nlm.nih.gov/pubmed/31968545
http://dx.doi.org/10.3390/ijerph17020662
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author Zhu, Hua
Zhao, Han
Ou, Rong
Zeng, Qing
Hu, Ling
Qiu, Hongfang
Sharma, Manoj
Ye, Mengliang
author_facet Zhu, Hua
Zhao, Han
Ou, Rong
Zeng, Qing
Hu, Ling
Qiu, Hongfang
Sharma, Manoj
Ye, Mengliang
author_sort Zhu, Hua
collection PubMed
description Although immunization against varicella using vaccines has been proven to be significant and effective in the past decades, varicella remains a major public health concern for many developing countries. Varicella vaccination has not been introduced into routine immunization programs in China, and varicella outbreaks have continued to occur. Taking the city of Chongqing, which has a high prevalence of varicella, as an example, this study explored the spatiotemporal epidemiology of varicella. Based on the reported data of varicella cases from 1 January 2014 to 31 December 2018 in Chongqing, hot spots and space-time clusters of varicella were identified using spatial autocorrelation analysis and scan statistics. Within this period, a total of 112,273 varicella cases were reported in Chongqing (average annual incidence: 73.44 per 100,000), including one death. The incidence of varicella showed an increasing trend with significant seasonal peaks, which occurred during April to July and October to January of the following year. The total ratio of male to female patients affected was 1.10:1. Children under the age of 15 and students accounted for the majority of the patient population. The hotspots detected through local spatial autocorrelation analysis, and the most likely clusters identified by scan analysis, were primarily in the main urban districts of Chongqing. The secondary clusters were mostly detected in northeast and southwest Chongqing. There were obvious spatial dependence and spatiotemporal clustering characteristics of varicella in Chongqing from 2014 to 2018. High-risk districts, populations, and peak periods were found in this study, which could be helpful in implementing varicella prevention and control programs, and in adjusting vaccination strategies for the varicella vaccine based on actual conditions.
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spelling pubmed-70139782020-03-09 Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018 Zhu, Hua Zhao, Han Ou, Rong Zeng, Qing Hu, Ling Qiu, Hongfang Sharma, Manoj Ye, Mengliang Int J Environ Res Public Health Article Although immunization against varicella using vaccines has been proven to be significant and effective in the past decades, varicella remains a major public health concern for many developing countries. Varicella vaccination has not been introduced into routine immunization programs in China, and varicella outbreaks have continued to occur. Taking the city of Chongqing, which has a high prevalence of varicella, as an example, this study explored the spatiotemporal epidemiology of varicella. Based on the reported data of varicella cases from 1 January 2014 to 31 December 2018 in Chongqing, hot spots and space-time clusters of varicella were identified using spatial autocorrelation analysis and scan statistics. Within this period, a total of 112,273 varicella cases were reported in Chongqing (average annual incidence: 73.44 per 100,000), including one death. The incidence of varicella showed an increasing trend with significant seasonal peaks, which occurred during April to July and October to January of the following year. The total ratio of male to female patients affected was 1.10:1. Children under the age of 15 and students accounted for the majority of the patient population. The hotspots detected through local spatial autocorrelation analysis, and the most likely clusters identified by scan analysis, were primarily in the main urban districts of Chongqing. The secondary clusters were mostly detected in northeast and southwest Chongqing. There were obvious spatial dependence and spatiotemporal clustering characteristics of varicella in Chongqing from 2014 to 2018. High-risk districts, populations, and peak periods were found in this study, which could be helpful in implementing varicella prevention and control programs, and in adjusting vaccination strategies for the varicella vaccine based on actual conditions. MDPI 2020-01-20 2020-01 /pmc/articles/PMC7013978/ /pubmed/31968545 http://dx.doi.org/10.3390/ijerph17020662 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhu, Hua
Zhao, Han
Ou, Rong
Zeng, Qing
Hu, Ling
Qiu, Hongfang
Sharma, Manoj
Ye, Mengliang
Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018
title Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018
title_full Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018
title_fullStr Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018
title_full_unstemmed Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018
title_short Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018
title_sort spatiotemporal epidemiology of varicella in chongqing, china, 2014–2018
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013978/
https://www.ncbi.nlm.nih.gov/pubmed/31968545
http://dx.doi.org/10.3390/ijerph17020662
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