Q
Qiyong Liu
Researcher at Shandong University
Publications - 23
Citations - 1319
Qiyong Liu is an academic researcher from Shandong University. The author has contributed to research in topics: Population & Public health. The author has an hindex of 16, co-authored 23 publications receiving 1004 citations. Previous affiliations of Qiyong Liu include Centers for Disease Control and Prevention & World Health Organization.
Papers
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Journal ArticleDOI
Climate change and health: on the latest IPCC report
Alistair Woodward,Kirk R. Smith,Diarmid Campbell-Lendrum,Dave D. Chadee,Yasushi Honda,Qiyong Liu,Jane Mukarugwiza Olwoch,Boris Revich,Rainer Sauerborn,Zoë Chafe,Ulisses Confalonieri,Andy Haines +11 more
TL;DR: In this Comment, contributors to the chapter on human health, explain how the IPCC report was prepared and highlight important aspects of wellbeing such as security and livelihoods.
Journal ArticleDOI
Heat Waves and Morbidity: Current Knowledge and Further Direction-A Comprehensive Literature Review
TL;DR: A comprehensive review of published literature in English from 1985 to 2014 on the relationship between heat waves and morbidity found the elderly, children, and males were more vulnerable during heat waves, and the medical care demand increased for those with existing chronic diseases.
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Climate variation drives dengue dynamics
Lei Xu,Lei Xu,Leif Christian Stige,Kung-Sik Chan,Jie Zhou,Jun Yang,Shaowei Sang,Ming Wang,Zhicong Yang,Ziqiang Yan,Tong Jiang,Liang Lu,Yujuan Yue,Xiaobo Liu,Hualiang Lin,Jianguo Xu,Qiyong Liu,Qiyong Liu,Qiyong Liu,Nils Christian Stenseth +19 more
TL;DR: It is demonstrated that climate conditions, through the effects of rainfall and temperature on mosquito abundance and dengue transmission rate, play key roles in explaining the temporal dynamics of d Dengue incidence in the human population.
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The effects of summer temperature and heat waves on heat-related illness in a coastal city of China, 2011-2013.
TL;DR: It is found that maximum temperature, rather than heat index, was a better predictor of heat-related illnesses in summers, and relevant active well-organized public health initiatives should be implemented to reduce the adverse effects of heat extremes on the illnesses.
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Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue
Ruiyun Li,Lei Xu,Lei Xu,Ottar N. Bjørnstad,Keke Liu,Keke Liu,Tie Song,Aifang Chen,Bing Xu,Qiyong Liu,Qiyong Liu,Nils Christian Stenseth,Nils Christian Stenseth +12 more
TL;DR: It is demonstrated that local weather conditions, through their impact on the variation of mosquito abundance, are a driver of dengue dynamics in China and illustrate that spatiotemporal dynamics of d Dengue are predictable from the local vector dynamics, which in turn can be predicted by climate conditions.