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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Autores principales:	Rachel J. Oidtman, Shengjie Lai, Zhoujie Huang, Juan Yang, Amir S. Siraj, Robert C. Reiner, Andrew J. Tatem, T. Alex Perkins, Hongjie Yu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/3d3b052142814d529cc96efc5993c654
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spelling	oai:doaj.org-article:3d3b052142814d529cc96efc5993c6542021-12-02T17:01:55ZInter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China10.1038/s41467-019-09035-x2041-1723https://doaj.org/article/3d3b052142814d529cc96efc5993c6542019-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09035-xhttps://doaj.org/toc/2041-1723In 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.Rachel J. OidtmanShengjie LaiZhoujie HuangJuan YangAmir S. SirajRobert C. ReinerAndrew J. TatemT. Alex PerkinsHongjie YuNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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
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.
format	article
author	Rachel J. Oidtman Shengjie Lai Zhoujie Huang Juan Yang Amir S. Siraj Robert C. Reiner Andrew J. Tatem T. Alex Perkins Hongjie Yu
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 Portfolio
publishDate	2019
url	https://doaj.org/article/3d3b052142814d529cc96efc5993c654
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Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China

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