Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China

In 2014 Guangzhou, China experienced its worse dengue epidemic on record. To determine the reasons for this the authors model historical data under combinations of four time-varying factors and find that past epidemics were limited by one or more unfavourable conditions, but the 2014 epidemic faced...

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Main Authors:	Rachel J. Oidtman, Shengjie Lai, Zhoujie Huang, Juan Yang, Amir S. Siraj, Robert C. Reiner, Andrew J. Tatem, T. Alex Perkins, Hongjie Yu
Format:	Article
Language:	English
Published:	Nature Publishing Group 2019-03-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-019-09035-x

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spelling	doaj-3d3b052142814d529cc96efc5993c6542021-05-11T12:40:18ZengNature Publishing GroupNature Communications2041-17232019-03-0110111210.1038/s41467-019-09035-xInter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, ChinaRachel J. Oidtman0Shengjie Lai1Zhoujie Huang2Juan Yang3Amir S. Siraj4Robert C. Reiner5Andrew J. Tatem6T. Alex Perkins7Hongjie Yu8Department of Biological Sciences and Eck Institute for Global Health, University of Notre DameSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationDepartment of Biological Sciences and Eck Institute for Global Health, University of Notre DameInstitute for Health and Metrics and Evaluation, University of WashingtonWorldPop, Department of Geography and Environment, University of SouthamptonDepartment of Biological Sciences and Eck Institute for Global Health, University of Notre DameSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationIn 2014 Guangzhou, China experienced its worse dengue epidemic on record. To determine the reasons for this the authors model historical data under combinations of four time-varying factors and find that past epidemics were limited by one or more unfavourable conditions, but the 2014 epidemic faced none of these restraints.https://doi.org/10.1038/s41467-019-09035-x
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Rachel J. Oidtman Shengjie Lai Zhoujie Huang Juan Yang Amir S. Siraj Robert C. Reiner Andrew J. Tatem T. Alex Perkins Hongjie Yu
spellingShingle	Rachel J. Oidtman Shengjie Lai Zhoujie Huang Juan Yang Amir S. Siraj Robert C. Reiner Andrew J. Tatem T. Alex Perkins Hongjie Yu Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China Nature Communications
author_facet	Rachel J. Oidtman Shengjie Lai Zhoujie Huang Juan Yang Amir S. Siraj Robert C. Reiner Andrew J. Tatem T. Alex Perkins Hongjie Yu
author_sort	Rachel J. Oidtman
title	Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China
title_short	Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China
title_full	Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China
title_fullStr	Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China
title_full_unstemmed	Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China
title_sort	inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in guangzhou, china
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2019-03-01
description	In 2014 Guangzhou, China experienced its worse dengue epidemic on record. To determine the reasons for this the authors model historical data under combinations of four time-varying factors and find that past epidemics were limited by one or more unfavourable conditions, but the 2014 epidemic faced none of these restraints.
url	https://doi.org/10.1038/s41467-019-09035-x
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Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China

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