Cargando…

Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China

Chongqing is one of the five provinces in China that has the highest incidence of acute hemorrhagic conjunctivitis (AHC). Data of AHC cases from 2004 to 2018 were obtained from National Notifiable Diseases Reporting Information System (NNDRIS). Descriptive statistical methods were used to analyze th...

Descripción completa

Detalles Bibliográficos
Autores principales: Jing, Dan, Zhao, Han, Ou, Rong, Zhu, Hua, Hu, Ling, Giri, Mohan, Ye, Mengliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283237/
https://www.ncbi.nlm.nih.gov/pubmed/32518362
http://dx.doi.org/10.1038/s41598-020-66467-y
_version_ 1783544260645093376
author Jing, Dan
Zhao, Han
Ou, Rong
Zhu, Hua
Hu, Ling
Giri, Mohan
Ye, Mengliang
author_facet Jing, Dan
Zhao, Han
Ou, Rong
Zhu, Hua
Hu, Ling
Giri, Mohan
Ye, Mengliang
author_sort Jing, Dan
collection PubMed
description Chongqing is one of the five provinces in China that has the highest incidence of acute hemorrhagic conjunctivitis (AHC). Data of AHC cases from 2004 to 2018 were obtained from National Notifiable Diseases Reporting Information System (NNDRIS). Descriptive statistical methods were used to analyze the epidemiological characteristics; incidence maps were used to reflect incidence trends in each district; spatial autocorrelation was used to identify hotspot regions and spatiotemporal patterns of AHC outbreaks; spatiotemporal scan were conducted to identify AHC clusters. A total of 30,686 cases were reported with an annual incidence of 7.04 per 100,000. The incidence rates were high in 2007 and 2014, and large epidemics were observed in 2010 with the seasonal peak in September. Individuals aged 10–19 years, males, students and farmers were the prime high-risk groups. Except for 2012 and 2013, the spatial distribution of AHC did not exhibit significant global spatial autocorrelation. Local indicators of spatial association showed that the high-risk regions are Chengkou and Wuxi. The spatiotemporal scan indicated that all clusters occurred in September 2010, and the high-incidence clusters were mainly distributed in the northeast of Chongqing. The results could assist public health agencies to consider effective preventive measures based on epidemiological factors and spatiotemporal clusters in different regions.
format Online
Article
Text
id pubmed-7283237
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-72832372020-06-15 Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China Jing, Dan Zhao, Han Ou, Rong Zhu, Hua Hu, Ling Giri, Mohan Ye, Mengliang Sci Rep Article Chongqing is one of the five provinces in China that has the highest incidence of acute hemorrhagic conjunctivitis (AHC). Data of AHC cases from 2004 to 2018 were obtained from National Notifiable Diseases Reporting Information System (NNDRIS). Descriptive statistical methods were used to analyze the epidemiological characteristics; incidence maps were used to reflect incidence trends in each district; spatial autocorrelation was used to identify hotspot regions and spatiotemporal patterns of AHC outbreaks; spatiotemporal scan were conducted to identify AHC clusters. A total of 30,686 cases were reported with an annual incidence of 7.04 per 100,000. The incidence rates were high in 2007 and 2014, and large epidemics were observed in 2010 with the seasonal peak in September. Individuals aged 10–19 years, males, students and farmers were the prime high-risk groups. Except for 2012 and 2013, the spatial distribution of AHC did not exhibit significant global spatial autocorrelation. Local indicators of spatial association showed that the high-risk regions are Chengkou and Wuxi. The spatiotemporal scan indicated that all clusters occurred in September 2010, and the high-incidence clusters were mainly distributed in the northeast of Chongqing. The results could assist public health agencies to consider effective preventive measures based on epidemiological factors and spatiotemporal clusters in different regions. Nature Publishing Group UK 2020-06-09 /pmc/articles/PMC7283237/ /pubmed/32518362 http://dx.doi.org/10.1038/s41598-020-66467-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jing, Dan
Zhao, Han
Ou, Rong
Zhu, Hua
Hu, Ling
Giri, Mohan
Ye, Mengliang
Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China
title Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China
title_full Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China
title_fullStr Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China
title_full_unstemmed Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China
title_short Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China
title_sort epidemiological characteristics and spatiotemporal analysis of acute hemorrhagic conjunctivitis from 2004 to 2018 in chongqing, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283237/
https://www.ncbi.nlm.nih.gov/pubmed/32518362
http://dx.doi.org/10.1038/s41598-020-66467-y
work_keys_str_mv AT jingdan epidemiologicalcharacteristicsandspatiotemporalanalysisofacutehemorrhagicconjunctivitisfrom2004to2018inchongqingchina
AT zhaohan epidemiologicalcharacteristicsandspatiotemporalanalysisofacutehemorrhagicconjunctivitisfrom2004to2018inchongqingchina
AT ourong epidemiologicalcharacteristicsandspatiotemporalanalysisofacutehemorrhagicconjunctivitisfrom2004to2018inchongqingchina
AT zhuhua epidemiologicalcharacteristicsandspatiotemporalanalysisofacutehemorrhagicconjunctivitisfrom2004to2018inchongqingchina
AT huling epidemiologicalcharacteristicsandspatiotemporalanalysisofacutehemorrhagicconjunctivitisfrom2004to2018inchongqingchina
AT girimohan epidemiologicalcharacteristicsandspatiotemporalanalysisofacutehemorrhagicconjunctivitisfrom2004to2018inchongqingchina
AT yemengliang epidemiologicalcharacteristicsandspatiotemporalanalysisofacutehemorrhagicconjunctivitisfrom2004to2018inchongqingchina