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Tingting Ye
Researcher at Monash University
Publications - 46
Citations - 964
Tingting Ye is an academic researcher from Monash University. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 7, co-authored 22 publications receiving 290 citations. Previous affiliations of Tingting Ye include Binzhou University & Zhejiang University.
Papers
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Population Mapping with Multisensor Remote Sensing Images and Point-Of-Interest Data
TL;DR: This study combined POI and multisensor remote sensing data into new ancillary data to aid population redistribution from census to grid cells at a resolution of 250 m in Zhejiang, China and showed that the approach redistributed the population with fewer errors than WorldPop, especially at the extremes of population density.
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Temperature variability and mortality in rural and urban areas in Zhejiang province, China: An application of a spatiotemporal index.
Kejia Hu,Yuming Guo,Xuchao Yang,Xuchao Yang,Jieming Zhong,Fangrong Fei,Feng Chen,Qi Zhao,Yunquan Zhang,Gongbo Chen,Qian Chen,Tingting Ye,Shanshan Li,Jiaguo Qi +13 more
TL;DR: A novel spatiotemporal TV index was developed, considering both the temporal and spatial variability of temperatures, and significant associations were found between TV and all types of targeted diseases, age groups, and genders.
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The association between ambient air pollution and blood lipids: A longitudinal study in Shijiazhuang, China
Kaihua Zhang,Haoyuan Wang,Weiliang He,Gongbo Chen,Peng Lu,Rongbin Xu,Pei Yu,Tingting Ye,Suying Guo,Shanshan Li,Yinyu Xie,Zhihua Hao,Hebo Wang,Yuming Guo +13 more
TL;DR: Ambient air pollution had significantly adverse effects on blood lipid levels, especially in overweight/obese and elderly individuals, and in two-pollutant models, the effects of gaseous pollutants on blood lipids were weakened, while those of PMs were strengthened.
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Estimation of anthropogenic heat emissions in China using Cubist with points-of-interest and multisource remote sensing data.
TL;DR: A new machine learning-based top-down approach was presented to generate a gridded anthropogenic heat flux (AHF) benchmark dataset at 1 km spatial resolution for China in 2010 and the spatial distribution of AHF from different heating components was effectively distinguished.
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Global climate change and human health: pathways and possible solutions
Qin Zhao,Pei Yu,Rahini Mahendran,Wenzhong Huang,Yuan Gao,Zhengyu Yang,Tingting Ye,Bo Wen,Yao Wu,Shanshan Li,Yuming Guo +10 more
TL;DR: In this paper , the main signs of climate change so far, e.g., suboptimal ambient temperature, sea-level rise and other conditions, and depicts the interactive pathways between different climate-changing events such as sub-optimal temperature, wildfires, and floods with a broad range of health outcomes.