Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783297986670886912 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5799376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sannamattia spatialandtemporalcharacteristicsof2014dengueoutbreakinguangdongchina AT wujianyong spatialandtemporalcharacteristicsof2014dengueoutbreakinguangdongchina AT zhuyanshan spatialandtemporalcharacteristicsof2014dengueoutbreakinguangdongchina AT yangzhicong spatialandtemporalcharacteristicsof2014dengueoutbreakinguangdongchina AT lujiahai spatialandtemporalcharacteristicsof2014dengueoutbreakinguangdongchina AT hsiehyinghen spatialandtemporalcharacteristicsof2014dengueoutbreakinguangdongchina |