Journal of Geographical Sciences, Volume. 30, Issue 12, 1963(2020)
Comparison of spatio-temporal transmission characteristics of COVID-19 and its mitigation strategies in China and the US
[1] AlastairB, RichardH. A planetary health perspective on COVID-19: A call for papers. The Lancet, 395, 1099(2020).
[4] Chen NS, ZhouM, DongX et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. The Lancet, 395, 507-513(2020).
[5] Chen SM, Yang JT, Yang WZ et al. COVID-19 control in China during mass population movements at New Year. The Lancet, 395, 764-766(2020).
[8] DingL, CaiW, Ding JQ et al. An interim review of lessons from the Novel Coronavirus (SARS-CoV-2) outbreak in China. Scientia Sinica Vitae, 50, 247-257(2020).
[9] DingY, Luo SH, Zheng XY et al. Association between population migration and epidemic control of coronavirus disease 2019. Science China Life Sciences, 63, 936-939(2020).
[12] Franch-PardoI, Napoletano BM, Rosete-VergesF et al. Spatial analysis and GIS in the study of COVID-19: A review. Science of the Total Environment, 739, 140033(2020).
[13] GhinaiI, McPherson TD, Hunter JC et al. First known person-to-person transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the USA. The Lancet, 395, 1137-1144(2020).
[15] He JY, Chen GW, Jiang YT et al. Comparative infection modeling and control of COVID-19 transmission patterns in China, South Korea, Italy and Iran. Science of the Total Environment, 747, 141447(2020).
[16] Huang CL, Wang YM, Li XW et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395, 497-506(2020).
[17] Huang EN, Qiao FL. A data driven time-dependent transmission rate for tracking an epidemic: A case study of 2019-nCov. Science Bulletin, 65, 425-427(2020).
[23] Li RY, ChenB, ZhangT et al. Global COVID-19 pandemic demands joint interventions for the suppression of future waves. Proceedings of the National Academy of Sciences, 117, 26151-26157(2020).
[24] LiZ. Some enlightenment of the American medical insurance system to the current health system reform. China Health Insurance, 68-71(2018).
[26] LiuZ, Qian JL, Du YY et al. Multi-level spatial distribution estimation model of the inter-regional migrant population using multi-source spatio-temporal big data: A case study of migrants from Wuhan during the spread of COVID-19. Journal of Geo-information Science, 22, 147-160(2020).
[28] ShiP, Dong YQ, Yan HC et al. Impact of temperature on the dynamics of the COVID-19 outbreak in China. Science of The Total Environment, 728, 138890(2020).
[29] Sun ZB, Zhang,H, Yang,Y F et al. Impacts of geographic factors and population density on the COVID-19 spreading under the lockdown policies of China. Science of The Total Environment, 746, 141347(2020).
[32] WangG, HuangE, Qiao FL. Quantitative evaluation on control measures for an epidemic: A case study of COVID-19. Chinese Science Bulletin, 65, 1009-1015(2020).
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Zhiming FENG, Chiwei XIAO, Peng LI, Zhen YOU, Xu YIN, Fangyu ZHENG. Comparison of spatio-temporal transmission characteristics of COVID-19 and its mitigation strategies in China and the US[J]. Journal of Geographical Sciences, 2020, 30(12): 1963
Category: Research Articles
Received: Sep. 10, 2020
Accepted: Oct. 13, 2020
Published Online: May. 7, 2021
The Author Email: XIAO Chiwei (xiaocw@igsnrr.ac.cn)