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Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China
BACKGROUND: Dengue fever has been a major public health concern in China since it re-emerged in Guangdong province in 1978. This study aimed to explore spatiotemporal characteristics of dengue fever cases for both indigenous and imported cases during recent years in Guangdong province, so as to iden...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412724/ https://www.ncbi.nlm.nih.gov/pubmed/22691405 http://dx.doi.org/10.1186/1471-2334-12-132 |
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author | Li, Zhongjie Yin, Wenwu Clements, Archie Williams, Gail Lai, Shengjie Zhou, Hang Zhao, Dan Guo, Yansha Zhang, Yonghui Wang, Jinfeng Hu, Wenbiao Yang, Weizhong |
author_facet | Li, Zhongjie Yin, Wenwu Clements, Archie Williams, Gail Lai, Shengjie Zhou, Hang Zhao, Dan Guo, Yansha Zhang, Yonghui Wang, Jinfeng Hu, Wenbiao Yang, Weizhong |
author_sort | Li, Zhongjie |
collection | PubMed |
description | BACKGROUND: Dengue fever has been a major public health concern in China since it re-emerged in Guangdong province in 1978. This study aimed to explore spatiotemporal characteristics of dengue fever cases for both indigenous and imported cases during recent years in Guangdong province, so as to identify high-risk areas of the province and thereby help plan resource allocation for dengue interventions. METHODS: Notifiable cases of dengue fever were collected from all 123 counties of Guangdong province from 2005 to 2010. Descriptive temporal and spatial analysis were conducted, including plotting of seasonal distribution of cases, and creating choropleth maps of cumulative incidence by county. The space-time scan statistic was used to determine space-time clusters of dengue fever cases at the county level, and a geographical information system was used to visualize the location of the clusters. Analysis were stratified by imported and indigenous origin. RESULTS: 1658 dengue fever cases were recorded in Guangdong province during the study period, including 94 imported cases and 1564 indigenous cases. Both imported and indigenous cases occurred more frequently in autumn. The areas affected by the indigenous and imported cases presented a geographically expanding trend over the study period. The results showed that the most likely cluster of imported cases (relative risk = 7.52, p < 0.001) and indigenous cases (relative risk = 153.56, p < 0.001) occurred in the Pearl River Delta Area; while a secondary cluster of indigenous cases occurred in one district of the Chao Shan Area (relative risk = 471.25, p < 0.001). CONCLUSIONS: This study demonstrated that the geographic range of imported and indigenous dengue fever cases has expanded over recent years, and cases were significantly clustered in two heavily urbanised areas of Guangdong province. This provides the foundation for further investigation of risk factors and interventions in these high-risk areas. |
format | Online Article Text |
id | pubmed-3412724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34127242012-08-07 Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China Li, Zhongjie Yin, Wenwu Clements, Archie Williams, Gail Lai, Shengjie Zhou, Hang Zhao, Dan Guo, Yansha Zhang, Yonghui Wang, Jinfeng Hu, Wenbiao Yang, Weizhong BMC Infect Dis Research Article BACKGROUND: Dengue fever has been a major public health concern in China since it re-emerged in Guangdong province in 1978. This study aimed to explore spatiotemporal characteristics of dengue fever cases for both indigenous and imported cases during recent years in Guangdong province, so as to identify high-risk areas of the province and thereby help plan resource allocation for dengue interventions. METHODS: Notifiable cases of dengue fever were collected from all 123 counties of Guangdong province from 2005 to 2010. Descriptive temporal and spatial analysis were conducted, including plotting of seasonal distribution of cases, and creating choropleth maps of cumulative incidence by county. The space-time scan statistic was used to determine space-time clusters of dengue fever cases at the county level, and a geographical information system was used to visualize the location of the clusters. Analysis were stratified by imported and indigenous origin. RESULTS: 1658 dengue fever cases were recorded in Guangdong province during the study period, including 94 imported cases and 1564 indigenous cases. Both imported and indigenous cases occurred more frequently in autumn. The areas affected by the indigenous and imported cases presented a geographically expanding trend over the study period. The results showed that the most likely cluster of imported cases (relative risk = 7.52, p < 0.001) and indigenous cases (relative risk = 153.56, p < 0.001) occurred in the Pearl River Delta Area; while a secondary cluster of indigenous cases occurred in one district of the Chao Shan Area (relative risk = 471.25, p < 0.001). CONCLUSIONS: This study demonstrated that the geographic range of imported and indigenous dengue fever cases has expanded over recent years, and cases were significantly clustered in two heavily urbanised areas of Guangdong province. This provides the foundation for further investigation of risk factors and interventions in these high-risk areas. BioMed Central 2012-06-12 /pmc/articles/PMC3412724/ /pubmed/22691405 http://dx.doi.org/10.1186/1471-2334-12-132 Text en Copyright ©2012 Li et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Zhongjie Yin, Wenwu Clements, Archie Williams, Gail Lai, Shengjie Zhou, Hang Zhao, Dan Guo, Yansha Zhang, Yonghui Wang, Jinfeng Hu, Wenbiao Yang, Weizhong Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China |
title | Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China |
title_full | Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China |
title_fullStr | Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China |
title_full_unstemmed | Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China |
title_short | Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China |
title_sort | spatiotemporal analysis of indigenous and imported dengue fever cases in guangdong province, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412724/ https://www.ncbi.nlm.nih.gov/pubmed/22691405 http://dx.doi.org/10.1186/1471-2334-12-132 |
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