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Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China

The record-breaking number of dengue cases reported in Guangdong, China in 2014 has been topic for many studies. However, the spatial and temporal characteristics of this unexpectedly explosive outbreak are still poorly understood. We adopt an integrated approach to ascertain the spatial-temporal pr...

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Autores principales: Sanna, Mattia, Wu, Jianyong, Zhu, Yanshan, Yang, Zhicong, Lu, Jiahai, Hsieh, Ying-Hen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799376/
https://www.ncbi.nlm.nih.gov/pubmed/29402909
http://dx.doi.org/10.1038/s41598-018-19168-6
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author Sanna, Mattia
Wu, Jianyong
Zhu, Yanshan
Yang, Zhicong
Lu, Jiahai
Hsieh, Ying-Hen
author_facet Sanna, Mattia
Wu, Jianyong
Zhu, Yanshan
Yang, Zhicong
Lu, Jiahai
Hsieh, Ying-Hen
author_sort Sanna, Mattia
collection PubMed
description The record-breaking number of dengue cases reported in Guangdong, China in 2014 has been topic for many studies. However, the spatial and temporal characteristics of this unexpectedly explosive outbreak are still poorly understood. We adopt an integrated approach to ascertain the spatial-temporal progression of the outbreak in each city in Guangdong as well as in each district in Guangzhou, where the majority of cases occurred. We utilize the Richards model, which determines the waves of reported cases at each location and identifies the turning point for each wave, in combination with a spatial association analysis conducted by computing the standardized G* statistic that measures the degree of spatial autocorrelation of a set of geo-referenced data from a local perspective. We found that Yuexiu district in Guangzhou was the initial hot spot for the outbreak, subsequently spreading to its neighboring districts in Guangzhou and other cities in Guangdong province. Hospital isolation of cases during early stage of outbreak in neighboring Zhongshan (in effort to prevent disease transmission to the vectors) might have played an important role in the timely mitigation of the disease. Integration of modeling approach and spatial association analysis allows us to pinpoint waves that spread the disease to communities beyond the borders of the initially affected regions.
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spelling pubmed-57993762018-02-14 Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China Sanna, Mattia Wu, Jianyong Zhu, Yanshan Yang, Zhicong Lu, Jiahai Hsieh, Ying-Hen Sci Rep Article The record-breaking number of dengue cases reported in Guangdong, China in 2014 has been topic for many studies. However, the spatial and temporal characteristics of this unexpectedly explosive outbreak are still poorly understood. We adopt an integrated approach to ascertain the spatial-temporal progression of the outbreak in each city in Guangdong as well as in each district in Guangzhou, where the majority of cases occurred. We utilize the Richards model, which determines the waves of reported cases at each location and identifies the turning point for each wave, in combination with a spatial association analysis conducted by computing the standardized G* statistic that measures the degree of spatial autocorrelation of a set of geo-referenced data from a local perspective. We found that Yuexiu district in Guangzhou was the initial hot spot for the outbreak, subsequently spreading to its neighboring districts in Guangzhou and other cities in Guangdong province. Hospital isolation of cases during early stage of outbreak in neighboring Zhongshan (in effort to prevent disease transmission to the vectors) might have played an important role in the timely mitigation of the disease. Integration of modeling approach and spatial association analysis allows us to pinpoint waves that spread the disease to communities beyond the borders of the initially affected regions. Nature Publishing Group UK 2018-02-05 /pmc/articles/PMC5799376/ /pubmed/29402909 http://dx.doi.org/10.1038/s41598-018-19168-6 Text en © The Author(s) 2018 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
Sanna, Mattia
Wu, Jianyong
Zhu, Yanshan
Yang, Zhicong
Lu, Jiahai
Hsieh, Ying-Hen
Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China
title Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China
title_full Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China
title_fullStr Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China
title_full_unstemmed Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China
title_short Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China
title_sort spatial and temporal characteristics of 2014 dengue outbreak in guangdong, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799376/
https://www.ncbi.nlm.nih.gov/pubmed/29402909
http://dx.doi.org/10.1038/s41598-018-19168-6
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