|On the cover: On the cover: Nourished by the gigantic data and empowered by increasing computing facilities, Artificial Intelligence (AI) is setting us free from many burdensome routines. With AI muscles, we have become faster and smarter than ever. AI is reshaping the future of industries and our lives, enabling paradigm shifts in many disciplines of science and even paving the road to the metaverse. But scientists are still facing endless choices to navigate their innovation processes as previously. Meanwhile, collaborations are urgently needed amongst researchers from multidisciplinary studies. So we do hope the shared values of truth, righteousness, and peace can be cherished deeply to make our blue planet a better place for the whole ecosystem.|
|Add comment (English only)|
|Position: Home > issue > November 28, 2021 Volume 2, Issue 4|
|Urban-rural disparity of the short-term association of PM2.5 with mortality and its attributable burden|
|Category: Report Download: PDF Figure Endnote|
|Author: Tao Liu,Haorong Meng,Min Yu,Yize Xiao,Biao Huang,Lifeng Lin,Haoming Zhang,Ruying Hu,Zhulin Hou,Yanjun Xu,Letao Yuan,Mingfang Qin,Qinglong Zhao,Xiaojun Xu,Weiwei Gong,Jianxiong Hu,Jianpeng Xiao,Siqi Chen,Weilin Zeng,Xing Li,Guanhao He et al.|
Although studies have investigated the associations between PM2.5 and mortality risk, evidence from rural areas is scarce. We aimed to compare the PM2.5-mortality associations between urban cities and rural areas in China. Daily mortality and air pollution data were collected from 215 locations during 2014¨C2017 in China. A two-stage approach was employed to estimate the location-specific and combined cumulative associations between short-term exposure to PM2.5 (lag 0¨C3 days) and mortality risks.
Liu T., Meng H., Yu M., et al. (2021). Urban-rural disparity of the short-term association of PM2.5 with mortality and the mortality burden attributable to ambient PM2.5 in China. The Innovation. 2(4),100171.