Infectious Kinetics of Novel Coronavirus Pneumonia (COVID-19)

LIU Sheng1 WANG Shuchang1 XIU Zhilong1

(1.School of Bioengineering, Dalian University of Technology, Dalian, Liaoning Province 116024)

【Abstract】Coronavirus disease 2019 (COVID-19) occurred as a new pneumonia of unknown cause at the end of 2019 and outbroke in the next two months in Wuhan. The scientific and effective understanding of the epidemic development is essential for its prevention and control. In this paper, a segmented Logistic model was built to describe confirmed cases, deaths and cured cases of COVID-19 based on the official data from National and Local Health Commissions. It is estimated that the total number of confirmed cases nationwide will reach 81,370 to 102,800, and the total number of deaths will reach 3,177 to 3,960, with a final mortality rate of 3.9%. All confirmed cases nationwide (deaths excluded) are expected to be cured on May 7, 2020 under current medical conditions and diagnostic criteria. The model can fit and forecast the trend of COVID-19 epidemic at two stages and provide a scientific basis for the epidemic prevention and control.

【Keywords】 COVID-19; Infectious kinetics; Logistic model;


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    [1] Wang C, Horby P W, Hayden F G, Gao G F. A novel coronavirus outbreak of global health concern [J]. The Lancet, 2020, 395 (10223): 470–473.

    [2] Song G, Cheng M Q, Wei X W. In vitro and in vivo studies and research and development progress of medicine for 2019-nCov [J/OL]. Acta virus Sinica, 2020 (in Chinese).

    [3] Zhou P, Yang X L, Wang X G, Hu B, Zhang L, Zhang W, Si H R, Zhu Y, Li B, Huang C L, Chen H D, Chen J, Luo Y, Guo H, Jiang R D, Liu M Q, Chen Y, Shen X R, Wang X, Zheng X S, Zhao K, Chen Q J, Deng F, Lin L, Yan B, Zhan F X, Wang Y Y, Xiao G F, Shi Z L. A pneumonia outbreak associated with a new coronavirus of probable bat origin [J]. Nature, 2020.

    [4] Zhu N, Zhang D, Wang D, Wang W L, Li X W, Yang B, Song J D, Zhao Xiang, Huang B Y, Shi W F, Lu R J, Niu P H, Zhan F X, Ma X J, Wang D Y, Xu W B, Wu G Z, Gao G F, Tan W J. A Novel Coronavirus from Patients with Pneumonia in China, 2019 [J]. N Engl J Med, 2020, 382 (8): 727–733.

    [5] Expert group of prevention and control for COVID-19, the Chinese Preventive Medicine Association. Latest understanding of the epidemiological characteristics of COVID-19 [J]. Chinese Journal of Epidemiology, 2020, 41 (2): 139–144 (in Chinese).

    [6] Yan Y, Chen Y, Liu K J, Luo X Y, Xu B X, Jiang Y, Cheng J. Modeling and prediction for the trend of outbreak of NCP based on a time-delay dynamic system [J/OL]. China Science: mathematics, 2020 (in Chinese).

    [7] ] W Y Y, Lu Z Z, Du Z C, Zhang Z J, Zhao Y, Shen S P, Wang B, Hao Y T, Chen F. Trend analysis of COVID-19 based on improved SEIR+CAQ epidemic dynamics model [J]. Chinese Journal of Epidemiology, 2020, 41 (2): 470–475 (in Chinese).

    [8] Zhou M, Wang B J, Ji F. Coalmining cities’ economic growth mechanism and sustainable development analysis based on logistic dynamics model [J]. Pro Earth Plan Sci, 2009, 1 (1): 1737–1743.

    [9] Tomonori K, Nigel W, Carrol P. Logistic Models for Simulating the Growth of Plants by Defining the Maximum Plant Size as the Limit of Information Flow [J]. Plant Signal Behav, 2020, 15 (2): 1709718.

    [10] Li Z, Chen X, Teng H, Xiu Z L. Study on the epidemic kinetics of SARS [J]. Progress in Biochemistry and Biophysics, 2004 (02): 167–171 (in Chinese).

    [11] Yang Z, Zeng Z, Wang K, Wong S S, Liang W H, Zanin M, Liu P, Cao X D, Gao Z Q, Mai Z T, Liang J Y, Liu X Q, Li S Y, Li Y M, Ye F, Guan W J, Yang T F, Li F, Luo S M, Xie Y Q, Liu B, Wang Z L, Zhang SB, Wang Y N, Zhong N S, He J X. Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions [J]. J Thorac Dis, 2020.

    [12] Li Q, Guan X H, Wu P, Wang X Y, Zhou L, Tong Y Q, Ren R, Leung K S M, Lau E H Y, Wong J Y, Xing X, Xiang N, Wu Y, Li C, Chen Q, Li D, Liu T, Zhao J, Li M, Tu W, Chen C, Jin L, Yang R, Wang Q, Zhou S, Wang R, Liu H, Luo Y, Liu Y, Shao G, Li H, Tao Z, Yang Y, Deng Z, Liu B, Ma Z, Zhang Y, Shi G, Lam T T Y, Wu J T K, Gao G F, Cowling B J, Yang B, Leung G M, Feng Z. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus Infected Pneumonia [J]. N Engl J Med, 2020.

    [13] Guan W J, Ni Z Y, Hu Y, Liang W H, Qu C Q, He J X, Liu L, Shan H, Lei C L, David S C H, Du B, Li L J, Zeng G, Yuan M Y, Chen R C, Tang C L, Wang T, Chen P Y, Xiang J, Li S Y, Wang J L, Liang Z J, Peng Y X, Li W, Liu Y, Hu Y H, Peng P, Wang J M, Liu J Y, Chen Z, Li G, Zheng Z J, Qiu S Q, Luo J, Ye C J, Zhu S Y, Zhong N S for the China Medical Treatment Expert Group for COVID-19. Clinical Characteristics of Coronavirus Disease 2019 in China [J]. N Engl J Med, 2020.

    [14] Epidemiology group of emergency response mechanism for COVID-19, China Center for Disease Control and Prevention. Epidemiological characteristics of COVID-19 [J]. Chinese Journal of Epidemiology, 2020, 41 (2): 145–151 (in Chinese).

    [15] Tian Y D, Hua Z C, Chen L Q. Deduction of epidemic turning point in Hubei, non-Hubei and China using SEIR model: 2020 sudden risk series (6) [Z]. 2020 (in Chinese).

    [16] Xu G X, Feng E M, Wang Z T, Tan X X, Xiu Z L. SEIR dynamic model and parameter identification of SARS epidemic [J]. Journal of natural science, Heilongjiang University, 2005 (04): 459–462+467 (in Chinese).

This Article


CN: 11-1865/R

Vol 36, No. 03, Pages 355-364

May 2020


Article Outline



  • Materials and methods
  • Results
  • Discussion
  • References