Lessons from the Mainland of China’s Epidemic Experience in the First Phase about the Growth Rules of Infected and Recovered Cases of COVID-19 Worldwide

Chuanliang Han , Yimeng Liu , Jiting Tang , Yuyao Zhu , Carlo Jaeger , Saini Yang

International Journal of Disaster Risk Science ›› 2020, Vol. 11 ›› Issue (4) : 497 -507.

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International Journal of Disaster Risk Science ›› 2020, Vol. 11 ›› Issue (4) : 497 -507. DOI: 10.1007/s13753-020-00294-7
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Lessons from the Mainland of China’s Epidemic Experience in the First Phase about the Growth Rules of Infected and Recovered Cases of COVID-19 Worldwide

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Abstract

The first phase of the novel coronavirus disease (COVID-19) that emerged at the end of 2019 has been brought under control in the mainland of China in March, while it is still spreading globally. When the pandemic will end is a question of great concern. A logistic model that depicts the growth rules of infected and recovered cases in China’s mainland may shed some light on this question. This model well explained the data by 13 April from 31 countries that have been experiencing serious COVID-2019 outbreaks (R 2 ≥ 0.95). Based on this model, the semi-saturation period (SSP) of infected cases in those countries ranges from 3 March to 18 June. According to the linear relationship between the growth rules for infected and for recovered cases identified from the Chinese data, we predicted that the SSP of the recovered cases outside China ranges from 22 March to 8 July. More importantly, we found a strong positive correlation between the SSP of infected cases and the timing of a government’s response. Finally, this model was also applied to four regions that went through other coronavirus or Ebola virus epidemics (R 2 ≥ 0.95). There is a negative correlation between the death rate and the logistic growth rate. These findings provide strong evidence for the effectiveness of rapid epidemic control measures in various countries.

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China / COVID-2019 / Epidemiological properties / Logistic model / Pandemic

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Chuanliang Han, Yimeng Liu, Jiting Tang, Yuyao Zhu, Carlo Jaeger, Saini Yang. Lessons from the Mainland of China’s Epidemic Experience in the First Phase about the Growth Rules of Infected and Recovered Cases of COVID-19 Worldwide. International Journal of Disaster Risk Science, 2020, 11(4): 497-507 DOI:10.1007/s13753-020-00294-7

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References

[1]

Abdi M. Coronavirus disease 2019 (COVID-19) outbreak in Iran: Actions and problems. Infection Control & Hospital Epidemiology, 2020, 41(6): 754-755

[2]

Azman AS, Luquero FJ. From China: Hope and lessons for COVID-19 control. The Lancet Infectious Diseases, 2020, 20(7): 756-757

[3]

CCDC (Chinese Center for Disease Control and Prevention). 2020a. The latest situation of COVID-19. Beijing: CCDC. http://www.nhc.gov.cn/xcs/yqtb/202003/9d462194284840ad96ce75eb8e4c8039.shtml. Accessed 29 Feb 2020 (in Chinese).

[4]

CCDC (Chinese Center for Disease Control and Prevention). 2020b. Prevention and control measures of COVID-19. Beijing: CCDC. http://www.nhc.gov.cn/jkj/s3577/202002/a5d6f7b8c48c451c87dba14889b30147/files/3514cb996ae24e2faf65953b4ecd0df4.pdf. Accessed 29 Feb 2020 (in Chinese).

[5]

CCDC (Chinese Center for Disease Control and Prevention). 2020c. SARS. http://www.nhc.gov.cn/wjw/index.shtml. Accessed 29 Feb 2020 (in Chinese).

[6]

Choi, S., and M. Ki. 2020. Estimating the reproductive number and the outbreak size of COVID-19 in Korea. Epidemiology and Health 42: Article e2020011.

[7]

Huang D, Guan P, Zhou B. Fitness of morbidity and discussion of epidemic characteristics of SARS based on logistic models. Chinese Journal of Public Health, 2003, 19(6): 1-2.

[8]

Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet, 2020, 395(10223): 497-506

[9]

Hui DS, Azhar EI, Madani TA, Ntoumi F, Kock R, Dar O, Ippolito G, McHugh TD The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health – The latest 2019 novel coronavirus outbreak in Wuhan, China. International Journal of Infectious Diseases, 2020, 91: 264-266

[10]

Hung, K.K.C., C.K.M. Mark, M.P.S. Yeung, E.Y.Y. Chan, and C.A. Graham. 2018. The role of the hotel industry in the response to emerging epidemics: A case study of SARS in 2003 and H1N1 swine flu in 2009 in Hong Kong. Global Health 14(1): Article 117.

[11]

Ki, M., and Task Force for 2019-nCov. 2020. Epidemiologic characteristics of early cases with 2019 novel coronavirus (2019-nCoV) disease in Republic of Korea. Epidemiology and Health 42: Article e2020007

[12]

Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KSM Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. The New England Journal of Medicine, 2020, 382(13): 1199-1207

[13]

Livingston, E., and K. Bucher. 2020. Coronavirus Disease 2019 (COVID-19) in Italy. JAMA 323(14): Article 133.

[14]

Roberts, S. 2020. The exponential power of now. The New York Times, 13 March 2020. https://www.nytimes.com/2020/03/13/science/coronavirus-math-mitigation-distancing.html. Accessed 17 Jul 2020.

[15]

Rosenbaum L. Facing Covid-19 in Italy – Ethics, logistics, and therapeutics on the epidemic’s front line. The New England Journal of Medicine, 2020, 382(20): 1873-1875

[16]

Saudi Arabia’s Ministry of Health. 2020. Data of MERS 2020. https://www.moh.gov.sa/. Accessed 25 Apr 2020.

[17]

Shim E, Tariq A, Choi W, Lee Y, Chowell G. Transmission potential and severity of COVID-19 in South Korea. International Journal of Infectious Diseases, 2020, 93: 339-344

[18]

Sina. 2020. Situation of COVID-19. https://news.sina.cn/zt_d/yiqing0121. Accessed 20 Apr 2020 (in Chinese).

[19]

Spina S, Marrazzo F, Migliari M, Stucchi R, Sforza A, Fumagalli R. The response of Milan’s Emergency Medical System to the COVID-19 outbreak in Italy. Lancet, 2020, 395(10227): e49-e50

[20]

Tian H, Liu Y, Li Y, Wu CH, Chen B, Kraemer MUG, Li B, Cai J An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science, 2020, 368(6491): 638-642

[21]

Tuite AR, Bogoch II, Sherbo R, Watts A, Fisman D, Khan K. Estimation of coronavirus disease 2019 (COVID-19) burden and potential for international dissemination of infection from Iran. Annals of Internal Medicine, 2020, 172(10): 699-701

[22]

Wang Y, Liu X. The compound Logistic model used to describe epidemic situation dynamics of SARS in Beijing. Journal of China Jiliang University, 2005, 16(2): 159-162.

[23]

Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan. China. JAMA, 2020, 323(11): 1061-1069

[24]

Wang, H., Z. Wang, Y. Dong, R. Chang, C. Xu, X. Yu, S. Zhang, L. Tsamlag, et al. 2020. Phase-adjusted estimation of the number of coronavirus disease 2019 cases in Wuhan, China. Cell Discovery 6: Article 10.

[25]

WHO (World Health Organization). 2020a. Coronavirus disease (COVID-2019) situation reports. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports. Accessed 20 Apr 2020.

[26]

WHO (World Health Organization). 2020b. Ebola situation reports: Archive. https://www.who.int/csr/disease/ebola/situation-reports/archive/en/. Accessed 20 Apr 2020.

[27]

Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature, 2020, 579: 270-273

[28]

Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B A novel coronavirus from patients with pneumonia in China, 2019. The New England Journal of Medicine, 2020, 382(8): 727-733

[29]

Zhuang Z, Zhao S, Lin Q, Cao P, Lou Y, Yang L, He D. Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data. International Journal of Infectious Diseases, 2020, 94: 29-31

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