Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China

Cell Discovery

Volumn 6, Issue 1, 2020, Pages

  Wang, Huwen ^a   Wang, Zezhou ^b,c   Dong, Yinqiao ^d   Chang, Ruijie ^a   Xu, Chen ^a   Yu, Xiaoyue ^a   Zhang, Shuxian ^a   Tsamlag, Lhakpa ^a   Shang, Meili ^e   Huang, Jinyan ^a   Wang, Ying ^a   Xu, Gang ^a   Shen, Tian ^a   Zhang, Xinxin ^a   Cai, Yong ^a  

^a SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^b FUDAN UNIVERSITY SHANGHAI CANCER CENTER   (China)

^c FUDAN UNIVERSITY   (China)

^d CHINA MEDICAL UNIVERSITY   (China)

^e Sanlin Community Health Service Center   (China)

Author keywords

[No Author keywords available]

Indexed keywords

2019 NOVEL CORONAVIRUS; ARTICLE; CASE FATALITY RATE; CHINA; CORONAVIRINAE; CORONAVIRUS DISEASE 2019; CORONAVIRUS INFECTION; HUMAN; INFECTION CONTROL; INFECTION PREVENTION; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2;

EID: 85079799485     PISSN: 20565968     EISSN: 20565968     Source Type: Journal    
DOI: 10.1038/s41421-020-0148-0     Document Type: Article

References (38)

1. Chan, J. F. et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet (London, England). 10.1016/s0140-6736(20)30154-9 (2020).
2. World Health Organization. Pneumonia of unknown cause—China. https://www.who.int/csr/don/05-january-2020-pneumonia-of-unkown-cause-china/en/.
3. WHO. Novel Coronavirus(2019-nCoV) Situation Report—22. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200211-sitrep-22-ncov.pdf?sfvrsn=fb6d49b1_2.
4. World Health Organization. Novel Coronavirus—China. https://www.who.int/csr/don/12-january-2020-novel-coronavirus-china/en/.
5. Hui, D. S. et al. The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health—the latest 2019 novel coronavirus outbreak in Wuhan, China. Int. J. Infect. Dis. 91, 264–266 (2020).
6. Chen, N. et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 10.1016/S0140-6736(20)30211-7.
7. Commission; CNH. Update on the Incidence of Pneumonia with Novel Coronavirus Infection (in Chinese). http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml (2020).
8. WHO. Statement on the Second Meeting of the International Health Regulations (2005) Emergency Committee Regarding the Outbreak of Novel Coronavirus (2019-nCoV). https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov).
9. Imai, N. et al. Report 3: Transmissibility of 2019-nCoV. https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/news–wuhan-coronavirus/ (2020).
10. Haydon, D. T. et al. The construction and analysis of epidemic trees with reference to the 2001 UK foot-and-mouth outbreak. Proc. R. Soc. Ser. B 270, 121–127 (2003).
11. Wallinga, J. & Teunis, P. Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures. Am. J. Epidemiol. 160, 509–516 (2004).
12. Nishiura, H., Schwehm, M., Kakehashi, M. & Eichner, M. Transmission potential of primary pneumonic plague: time inhomogeneous evaluation based on historical documents of the transmission network. J. Epidemiol. Community Health (1979-) 60, 640–645 (2006).
13. Read, J. M., Bridgen, J. R. E., Cummings, D. A. T., Ho, A. & Jewell, C. P. Novel coronavirus 2019-nCoV: early estimation of epidemiological parameters and epidemic predictions. medrxiv. https://www.medrxiv.org/content/10.1101/2020.01.23.20018549v1.full.pdf (2020).
14. Tang, B. et al. Estimation of the Transmission Risk of 2019-nCov and Its Implication for Public Health Interventions (2020).
15. Li, Q. et al. Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia. N. Engl. J. Med. 10.1056/NEJMoa2001316 (2020).
16. Wu, J. T., Leung, K. & Leung, G. M. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 10.1016/S0140-6736(20)30260-9 (2020).
17. Zhou, P. et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. https://doi.org/10.1038/s41586-020-2012-7 (2020).
18. CDC; C. 2019 Novel Coronavirus (2019-nCoV), Wuhan, China. https://www.cdc.gov/coronavirus/2019-nCoV/summary.html (2020).
19. Commission; CNH. Prevention and Control Plan for New Coronavirus-Infected Pneumonia (Version 3) (in Chinese). http://www.nhc.gov.cn/jkj/s7923/202001/470b128513fe46f086d79667db9f76a5.shtml (2020).
20. Notice on Wuhan Novel Coronavirus Infection of Pneumonia Epidemic Prevention and Control. http://www.gov.cn/xinwen/2020-01/23/content_5471751.htm (2020).
21. Riley, S. Transmission dynamics of the etiological agent of SARS in Hong Kong: impact of public health interventions. Science 300, 1961–1966 (2003).
22. Chen, S. C., Chang, C.-F. & Liao, C.-M. Predictive models of control strategies involved in containing indoor airborne infections. Indoor Air 16, 469-481 (2006).
23. Update on 2019-nCoV cases in Hubei Province. http://wjw.hubei.gov.cn/bmdt/ztzl/fkxxgzbdgrfyyq/xxfb/202002/t20200213_2025580.shtml.
24. Yang, Y. et al. Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China. medRxiv. https://doi.org/10.1101/2020.02.10.20021675 (2020).
25. Xu, B., Tian, H., Sabel, C. E. & Xu, B. Impacts of road traffic network and socioeconomic factors on the diffusion of 2009 pandemic influenza A (H1N1) in Mainland China. Int. J. Environ. Res. Public Health 16, 10.3390/ijerph16071223 (2019).
26. Fang, H., Chen, J. & Hu, J. Modelling the SARS epidemic by a lattice-based Monte-Carlo simulation. Conf. Proc. IEEE Eng. Med Biol. Soc. 7, 7470–7473 (2005).
27. Saito, M. M. et al. Extension and verification of the SEIR model on the 2009 influenza A (H1N1) pandemic in Japan. Math. Biosci. 246, 47–54 (2013).
28. Smirnova, A., deCamp, L. & Chowell, G. Forecasting Epidemics Through Nonparametric Estimation of Time-Dependent Transmission Rates Using the SEIR Model. Bull. Math. Biol. 81, 4343–4365. 10.1007/s11538-017-0284-3 (2019).
29. Getz, W. M., Salter, R. & Mgbara, W. Adequacy of SEIR models whenepidemics have spatial structure: Ebola in Sierra Leone. Phil. Trans. R. Soc. B374, 20180282. https://doi.org/10.1098/rstb.2018.028 (2019).
30. Feng, Z. et al. Timely identification of optimal control strategies for emerging infectious diseases. J. Theor. Biol. 259, 165–171 (2009).
31. Peak, C. M., Childs, L. M., Grad, Y. H. & Buckee, C. O. Comparing nonpharmaceutical interventions for containing emerging epidemics. Proc. Natl Acad. Sci. USA 114, 4023–4028 (2017).
32. Chowell, G., Nishiura, H. & Bettencourt, L. Comparative estimation of the reproduction number for pandemic influenza from daily case notification data. J. R. Soc. Interface 4, 155–166 (2007).
33. Chowell, G., Hengartner, N. W., Castillo-Chavez, C., Fenimore, P. W. & Hyman, J. M. The basic reproductive number of ebola and the effects of public health measures: the cases of Congo and Uganda. J. Theor. Biol. 229, 119–126 (2004).
34. The 2019-nCoV Outbreak Joint Field Epidemiology Investigation Team & Qun, L. Notes from the field: an outbreak of NCIP (2019-nCoV) infection in China—Wuhan, Hubei Province, 2019–2020. China CDC Weekly 2, 79–80 (2020).
35. Guan, W.-j. et al. Clinical characteristics of 2019 novel coronavirus infection in China. medRxiv. https://doi.org/10.1101/2020.02.06.20020974 (2020).
36. Pooling High-quality Medical Resources all over the Country to Win the Battle of Preventing and Controlling Epidemics. http://www.hubei.gov.cn/zwgk/hbyw/hbywqb/202002/t20200211_2023527.shtml.
37. Wuhan Huoshenshan Hospital was Completed Today. http://www.wh.gov.cn/2019_web/whyw/202002/t20200202_304343.html.
38. Wuhan Leishenshan Hospital Welcomed its First Confirmed 2019-nCoV Patients. http://www.hubei.gov.cn/zhuanti/2020/gzxxgzbd/qfqk/202002/t20200209_2022182.shtml.