Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung City

In 2014 and 2015, Southern Taiwan experienced two unprecedented outbreaks, with more than 10,000 laboratory-confirmed dengue cases in each outbreak. The present study was aimed to investigate the influence of meteorological and spatial factors on dengue outbreaks in Southern Taiwan and was conducted...

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Main Authors: Chung-Hao Huang, Chun-Yu Lin, Chun-Yuh Yang, Ta-Chien Chan, Po-Huang Chiang, Yen-Hsu Chen
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Canadian Journal of Infectious Diseases and Medical Microbiology
Online Access:http://dx.doi.org/10.1155/2021/9916642
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author Chung-Hao Huang
Chun-Yu Lin
Chun-Yuh Yang
Ta-Chien Chan
Po-Huang Chiang
Yen-Hsu Chen
author_facet Chung-Hao Huang
Chun-Yu Lin
Chun-Yuh Yang
Ta-Chien Chan
Po-Huang Chiang
Yen-Hsu Chen
author_sort Chung-Hao Huang
collection DOAJ
description In 2014 and 2015, Southern Taiwan experienced two unprecedented outbreaks, with more than 10,000 laboratory-confirmed dengue cases in each outbreak. The present study was aimed to investigate the influence of meteorological and spatial factors on dengue outbreaks in Southern Taiwan and was conducted in Kaohsiung City, which is the most affected area in Taiwan. The distributed lag nonlinear model was used to investigate the role of climatic factors in the 2014 and 2015 dengue outbreaks. Spatial statistics in the Geographic Information System was applied to study the relationship between the dengue spreading pattern and locations of traditional markets (human motility) in the 2015 dengue outbreak. Meteorological analysis results suggested that the relative risk of dengue fever increased when the weekly average temperature was more than 15°C at lagged weeks 5 to 18. Elevated relative risk of dengue was observed when the weekly average rainfall was more than 150 mm at lagged weeks 12 to 20. The spatial analysis revealed that approximately 83% of dengue cases were located in the 1000 m buffer zone of traditional market, with statistical significance. These findings support the influence of climatic factors and human motility on dengue outbreaks. Furthermore, the study analysis may help authorities to identify hotspots and decide the timing for implementation of dengue control programs.
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series Canadian Journal of Infectious Diseases and Medical Microbiology
spelling doaj-art-c43cf3ab66734ff7bb1f66d2ce193dd12025-08-20T02:18:47ZengWileyCanadian Journal of Infectious Diseases and Medical Microbiology1712-95321918-14932021-01-01202110.1155/2021/99166429916642Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung CityChung-Hao Huang0Chun-Yu Lin1Chun-Yuh Yang2Ta-Chien Chan3Po-Huang Chiang4Yen-Hsu Chen5Division of Infectious Disease, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanDivision of Infectious Disease, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, TaiwanResearch Center for Humanities and Social Sciences, Academia Sinica, Taipei, TaiwanInstitute of Public Health School of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanDivision of Infectious Disease, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanIn 2014 and 2015, Southern Taiwan experienced two unprecedented outbreaks, with more than 10,000 laboratory-confirmed dengue cases in each outbreak. The present study was aimed to investigate the influence of meteorological and spatial factors on dengue outbreaks in Southern Taiwan and was conducted in Kaohsiung City, which is the most affected area in Taiwan. The distributed lag nonlinear model was used to investigate the role of climatic factors in the 2014 and 2015 dengue outbreaks. Spatial statistics in the Geographic Information System was applied to study the relationship between the dengue spreading pattern and locations of traditional markets (human motility) in the 2015 dengue outbreak. Meteorological analysis results suggested that the relative risk of dengue fever increased when the weekly average temperature was more than 15°C at lagged weeks 5 to 18. Elevated relative risk of dengue was observed when the weekly average rainfall was more than 150 mm at lagged weeks 12 to 20. The spatial analysis revealed that approximately 83% of dengue cases were located in the 1000 m buffer zone of traditional market, with statistical significance. These findings support the influence of climatic factors and human motility on dengue outbreaks. Furthermore, the study analysis may help authorities to identify hotspots and decide the timing for implementation of dengue control programs.http://dx.doi.org/10.1155/2021/9916642
spellingShingle Chung-Hao Huang
Chun-Yu Lin
Chun-Yuh Yang
Ta-Chien Chan
Po-Huang Chiang
Yen-Hsu Chen
Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung City
Canadian Journal of Infectious Diseases and Medical Microbiology
title Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung City
title_full Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung City
title_fullStr Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung City
title_full_unstemmed Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung City
title_short Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung City
title_sort relationship between the incidence of dengue virus transmission in traditional market and climatic conditions in kaohsiung city
url http://dx.doi.org/10.1155/2021/9916642
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