A new approach to modeling the fade-out threshold of coronavirus disease

Tianxiang Yue; Zemeng Fan; Bin Fan; Zhengping Du; John P Wilson; Xiaozhe Yin; Na Zhao; Ying'an Wang; Chenghu Zhou

doi:10.1016/j.scib.2020.04.016

A new approach to modeling the fade-out threshold of coronavirus disease

Sci Bull (Beijing). 2020 Aug 15;65(15):1225-1227. doi: 10.1016/j.scib.2020.04.016. Epub 2020 Apr 13.

Authors

Tianxiang Yue¹, Zemeng Fan², Bin Fan³, Zhengping Du³, John P Wilson⁴, Xiaozhe Yin⁵, Na Zhao⁶, Ying'an Wang⁷, Chenghu Zhou³

Affiliations

¹ State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang 330045, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China. Electronic address: [email protected].
² State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China. Electronic address: [email protected].
³ State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China.
⁴ State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; Spatial Sciences Institute, University of Southern California, Los Angeles, CA 90089-0374, USA.
⁵ Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA.
⁶ State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.
⁷ Department for Population Data, China Population and Development Research Center, Beijing 100081, China.

No abstract available