Spatial and Temporal Transmission Differences between SARS and COVID-19 and Analysis of Influence Factors

被引:0
|
作者
Cui M. [1 ,2 ]
Yao X. [2 ,4 ]
Fang H. [2 ,5 ]
Zhang Y. [2 ,6 ]
Yang D. [1 ,2 ]
Pei T. [2 ,3 ]
机构
[1] Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi
[2] University of Chinese Academy of Sciences, Beijing
[3] State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing
[4] Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen
[5] Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing
[6] Chinese Research Academy of Environment Sciences, Beijing
基金
中国国家自然科学基金;
关键词
COVID-19; SARS; Space-time propagation differences; Space-time statistical method; Spatial propagation direction; Spatial propagation model; Spatial propagation space; Time series;
D O I
10.12082/dqxxkx.2021.210133
中图分类号
学科分类号
摘要
The outbreaks of SARS and COVID-19 have had a serious impact on public health, social economy and so on in China, in order to reveal the common law and difference characteristics of space-time transmission of respiratory infectious diseases and the reasons behind them, using space-time statistical methods, systematically analyzed and compared the difference characteristics of space-time transmission between SARS and COVID-19, and combined with the transmission characteristics of the virus itself and temperature, traffic and other factors to analyze the causes. The study shows that, ① SARS experiences two stages, the rising period-flat phase, and the COVID-19 experiences three stages, the rising period-sharp rise-slow up period. ② In the mode of spatial transmission, the transmission intensity and range of COVID-19 is greater than that of SARS, and the overall connectivity of COVID-19 is greater and the provinces are more closely related to the outbreak of the virus. Both SARS and COVID-19 transmission have obvious spatial aggregation characteristics. They are based on proximity propagation and long-range leaps, and SARS has a secondary communication center, and COVID-19 diffusion center has not been relocated. ③ In the direction of space communication, SARS is centered in Beijing, Hong Kong and Guangdong, the direction of spatial communication is stronger, and COVID-19 is only spread outwards with Hubei as the center. ④ In terms of spatial transmission speed, the spread time of the first case in each province of SARS is relatively large, and the spread time of the first case in each province of COVID-19 is roughly divided by Hu Huanyong Line, showing a phenomenon of "fast in the east and slow in the west", and the spread time span is relatively short. ⑤ R0 is the main reason for the difference between the spatial transmission range of SARS and COVID-19 and the speed of spatial transmission. The temperature suitability of SARS and COVID-19 viruses is different, but spatial aggregation transmission and adjacent area transmission are occurring in areas with similar temperatures. Besides the virus transmission capacity and temperature impact, traffic is the main reason affecting SARS and COVID-19 space long-range leap transmission, and the spatial transmission speed of both is negatively related to the density of the road network. 2021, Science Press. All right reserved.
引用
收藏
页码:1910 / 1923
页数:13
相关论文
共 58 条
  • [1] Xia S, Liu M Q, Wang C, Et al., Inhibition of SARS-CoV-2 (previously 2019-nCoV) infection by a highly potent pan-coronavirus fusion inhibitor targeting its spike protein that harbors a high capacity to mediate membrane fusion, Cell Research, 30, 4, pp. 343-355, (2020)
  • [2] Li P., What is the relationship between the new coronavirus and the SARS virus?, Beijing Science and Technology News
  • [3] Wu JL, Wang JF, Meng B, Et al., Spatial association analysis on epidemic of SARS in Beijing, 2003, Journal of Zhejiang University(Agric. & Life Sci.), 31, 1, pp. 97-101, (2005)
  • [4] Ye YL, Pang DY, Liu XX., Analysis of the current SARS epidemic and the forecast for Beijing, Physics, 5, pp. 345-347, (2003)
  • [5] Hu BS, Gong JH, Zhou JP, Et al., Spatial-temporal characteristics of epidemic spread in-out flow-Using SARS epidemic in Beijing as a case study, Scientia Sinica(Terrae), 43, 9, pp. 1499-1517, (2013)
  • [6] Zhang Z B., The outbreak pattern of SARS cases in China as revealed by a mathematical model, Ecological Modelling, 204, 3, pp. 420-426, (2007)
  • [7] Shi YL., A dynamic random model of the spread of SARS infection, Chinese Science Bulletin, 13, pp. 1373-1377, (2003)
  • [8] Liu Y, Niu SH, Liu Y., The spatial and time distribution characteristics of SARS in China, Science News, 9, pp. 4-5, (2003)
  • [9] Wang J F, McMichael A J, Meng B, Et al., Spatial dynamics of an epidemic of severe acute respiratory syndrome in an urban area, Bulletin of the World Health Organization, 84, 12, pp. 965-968, (2006)
  • [10] Cao ZD, Zeng DJ, Zheng XL, Et al., The popular characteristics of SARS in Beijing and the law of space-time communication, Scientia Sinica(Terrae), 40, 6, pp. 776-788, (2010)