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Linking key intervention timings to rapid declining effective reproduction number to quantify lessons against COVID-19

Frontiers of Medicine volume 14, pages 623–629 (2020)Cite this article

Abstract

Coronavirus disease 2019 (COVID-19) is currently under a global pandemic trend. The efficiency of containment measures and epidemic tendency of typical countries should be assessed. In this study, the efficiency of prevention and control measures in China, Italy, Iran, South Korea, and Japan was assessed, and the COVID-19 epidemic tendency among these countries was compared. Results showed that the effective reproduction number(Re) in Wuhan, China increased almost exponentially, reaching a maximum of 3.98 before a lockdown and rapidly decreased to below 1 due to containment and mitigation strategies of the Chinese government. The Re in Italy declined at a slower pace than that in China after the implementation of prevention and control measures. The Re in Iran showed a certain decline after the establishment of a national epidemic control command, and an evident stationary phase occurred because the best window period for the prevention and control of the epidemic was missed. The epidemic in Japan and South Korea reoccurred several times with the Re fluctuating greatly. The epidemic has hardly rebounded in China due to the implementation of prevention and control strategies and the effective enforcement of policies. Other countries suffering from the epidemic could learn from the Chinese experience in containing COVID-19.

References

  1. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y, Li B, Huang CL, Chen HD, Chen J, Luo Y, Guo H, Jiang RD, Liu MQ, Chen Y, Shen XR, Wang X, Zheng XS, Zhao K, Chen QJ, Deng F, Liu LL, Yan B, Zhan FX, Wang YY, Xiao GF, Shi ZL. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 2020; 579(7798): 270–273

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  2. Carvalho T. COVID-19 research in brief: 28 March to 3 April, 2020. Nat Med 2020. [Epub ahead of print] doi: 10.1038/d41591-020-00008-y

  3. Mahase E. COVID-19: WHO declares pandemic because of “alarming levels” of spread, severity, and inaction. BMJ 2020; 368: m1036

    Article  PubMed  Google Scholar 

  4. Shah SGS, Farrow A. A commentary on “World Health Organization declares global emergency: a review of the 2019 novel coronavirus (COVID-19)”. Int J Surg 2020; 76: 128–129

    Article  PubMed  PubMed Central  Google Scholar 

  5. Guo YR, Cao QD, Hong ZS, Tan YY, Chen SD, Jin HJ, Tan KS, Wang DY, Yan Y. The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak—an update on the status. Mil Med Res 2020; 7(1): 11

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Peng Y, Zhou YH. Is novel coronavirus disease (COVID-19) transmitted through conjunctiva? J Med Virol 2020; jmv.25753

  7. Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E, Villamizar-Peña R, Holguin-Rivera Y, Escalera-Antezana JP, Alvarado-Arnez LE, Bonilla-Aldana DK, Franco-Paredes C, Henao-Martinez AF, Paniz-Mondolfi A, Lagos-Grisales GJ, Ramírez-Vallejo E, Suárez JA, Zambrano LI, Villamil-Gómez WE, Balbin-Ramon GJ, Rabaan AA, Harapan H, Dhama K, Nishiura H, Kataoka H, Ahmad T, Sah R; Latin American Network of Coronavirus Disease 2019-COVID-19 Research (LANCOVID-19). Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Travel Med Infect Dis 2020. [Epub ahead of print] doi: https://doi.org/10.1016/j.tmaid.2020.101623

  8. Cheng Z, Lu Y, Cao Q, Qin L, Pan Z, Yan F, Yang W. Clinical features and chest CT manifestations of coronavirus disease 2019 (COVID-19) in a single-center study in Shanghai, China. AJR Am J Roentgenol 2020. [Epub ahead of print] doi: https://doi.org/10.2214/AJR.20.22959

  9. Jiang S. Don’t rush to deploy COVID-19 vaccines and drugs without sufficient safety guarantees. Nature 2020; 579(7799): 321

    CAS  Article  PubMed  Google Scholar 

  10. Cortegiani A, Ingoglia G, Ippolito M, Giarratano A, Einav S. A systematic review on the efficacy and safety of chloroquine for the treatment of COVID-19. J Crit Care 2020. [Epub ahead of print] doi: https://doi.org/10.1016/j.jcrc.2020.03.005

  11. Ajelli M, Poletti P, Melegaro A, Merler S. The role of different social contexts in shaping influenza transmission during the 2009 pandemic. Sci Rep 2015; 4: 7218

    Article  Google Scholar 

  12. Etbaigha F, R Willms A, Poljak Z. An SEIR model of influenza A virus infection and reinfection within a farrow-to-finish swine farm. PLoS One 2018; 13(9): e0202493

    Article  PubMed  PubMed Central  Google Scholar 

  13. Park JE, Jung S, Kim A, Park JE. MERS transmission and risk factors: a systematic review. BMC Public Health 2018; 18(1): 574

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nishiura H, Roberts MG. Estimation of the reproduction number for 2009 pandemic influenza A(H1N1) in the presence of imported cases. Euro Surveill 2010; 15(29): 19622

    Article  PubMed  Google Scholar 

  15. Shim E, Tariq A, Choi W, Lee Y, Chowell G. Transmission potential and severity of COVID-19 in South Korea. Int J Infect Dis 2020; 93: 339–344

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. White LF, Wallinga J, Finelli L, Reed C, Riley S, Lipsitch M, Pagano M. Estimation of the reproductive number and the serial interval in early phase of the 2009 influenza A/H1N1 pandemic in the USA. Influenza Other Respir Viruses 2009; 3(6): 267–276

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wallinga J, Lipsitch M. How generation intervals shape the relationship between growth rates and reproductive numbers. Proc Biol Sci 2007; 274(1609): 599–604

    CAS  PubMed  Google Scholar 

  18. Cori A, Ferguson NM, Fraser C, Cauchemez S. A new framework and software to estimate time-varying reproduction numbers during epidemics. Am J Epidemiol 2013; 178(9): 1505–1512

    Article  PubMed  Google Scholar 

  19. Nikbakht R, Baneshi MR, Bahrampour A. Estimation of the basic reproduction number and vaccination coverage of influenza in the United States (2017–18). J Res Health Sci 2018; 18(4): e00427

    PubMed  PubMed Central  Google Scholar 

  20. Wang X, Shi Y, Feng Z, Cui J. Evaluations of interventions using mathematical models with exponential and non-exponential distributions for disease stages: the case of Ebola. Bull Math Biol 2017; 79(9): 2149–2173

    Article  PubMed  Google Scholar 

  21. Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KSM, Lau EHY, Wong JY, Xing X, Xiang N, Wu Y, Li C, Chen Q, Li D, Liu T, Zhao J, Liu 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 TTY, Wu JT, Gao GF, Cowling BJ, Yang B, Leung GM, Feng Z. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med 2020; 382(13): 1199–1207

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. Nishiura H, Linton NM, Akhmetzhanov AR. Serial interval of novel coronavirus (COVID-19) infections. Int J Infect Dis 2020; 93: 284–286

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. Zhong P, Guo S, Chen T. Correlation between travellers departing from Wuhan before the Spring Festival and subsequent spread of COVID-19 to all provinces in China. J Travel Med 2020; 14(2): 113–116

    Google Scholar 

  24. Hunter P. The spread of the COVID-19 coronavirus: health agencies worldwide prepare for the seemingly inevitability of the COVID-19 coronavirus becoming endemic. EMBO Rep 2020; 21(4): e50334

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  25. Zhou G, Chen S, Chen Z. Back to the spring of 2020: facts and hope of COVID-19 outbreak. Front Med 2020; 14(2): 113–116

    Article  PubMed  Google Scholar 

  26. Remuzzi A, Remuzzi G. COVID-19 and Italy: what next? Lancet 2020. [Epub ahead of print] doi: https://doi.org/10.1016/S0140-6736(20)30627-9

  27. Mahase E. COVID-19: outbreak could last until spring 2021 and see 7.9 million hospitalised in the UK. BMJ 2020; 368: m1071

    Article  PubMed  Google Scholar 

  28. Livingston E, Bucher K. Coronavirus disease 2019 (COVID-19) in Italy. JAMA 2020. [Epub ahead of print] doi: https://doi.org/10.1001/jama.2020.4344

  29. Green MS. Did the hesitancy in declaring COVID-19 a pandemic reflect a need to redefine the term? Lancet 2020; 395(10229): 1034–1035

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. The Lancet Infectious Diseases. COVID-19, a pandemic or not? Lancet Infect Dis 2020; 20(4): 383

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  31. Gong F, Xiong Y, Xiao J, Lin L, Liu X, Wang D, Li X. China’s local governments are combating COVID-19 with unprecedented responses—from a Wenzhou governance perspective. Front Med 2020; 14(2): 220–224

    Article  PubMed  Google Scholar 

  32. Korean Society of Infectious Diseases; Korean Society of Pediatric Infectious Diseases; Korean Society of Epidemiology; Korean Society for Antimicrobial Therapy; Korean Society for Healthcare-associated Infection Control and Prevention; Korea Centers for Disease Control and Prevention. Report on the epidemiological features of coronavirus disease 2019 (COVID-19) outbreak in the Republic of Korea from January 19 to March 2, 2020. J Korean Med Sci 2020; 35(10): e112

    Article  PubMed Central  Google Scholar 

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Acknowledgements

The study was supported in part by the National Natural Science Foundation of China (Nos. 81673275 and 91846302), the National S&T Major Project Foundation of China (Nos. 2018ZX10715002-004 and 2018ZX10713001-001), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

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Authors and Affiliations

  1. Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China

    Zhihang Peng, Wenyu Song & Zhongxing Ding

  2. Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China

    Quanquan Guan, Xu Yang, Qiaoqiao Xu, Xu Wang & Yankai Xia

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  1. Zhihang Peng
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  2. Wenyu Song
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Correspondence to Yankai Xia.

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Zhihang Peng, Wenyu Song, Zhongxing Ding, Quanquan Guan, Xu Yang, Qiaoqiao Xu, Xu Wang, and Yankai Xia declare that they have no actual or potential competing financial interests. This article does not include studies involving human or animal subjects.

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Peng, Z., Song, W., Ding, Z. et al. Linking key intervention timings to rapid declining effective reproduction number to quantify lessons against COVID-19. Front. Med. 14, 623–629 (2020). https://doi.org/10.1007/s11684-020-0788-3

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  • DOI: https://doi.org/10.1007/s11684-020-0788-3

Keywords

  • COVID-19
  • epidemic control comparison
  • Chinese experience