Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV

Journal of Evidence-Based Medicine

Volumn 13, Issue 1, 2020, Pages 3-7

  Zhou, Tao ^a   Liu, Quanhui ^b   Yang, Zimo ^c   Liao, Jingyi ^d   Yang, Kexin ^b   Bai, Wei ^a   Lu, Xin ^e   Zhang, Wei ^f  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SICHUAN UNIVERSITY   (China)

^c Beijing AiQiYi Science and Technology Co Ltd   (China)

^d TSINGHUA UNIVERSITY   (China)

^e NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^f SICHUAN UNIVERSITY   (China)

Author keywords

2019 novel coronavirus (2019 nCoV); basic reproduction number; epidemiology

Indexed keywords

ARTICLE; BASIC REPRODUCTION NUMBER; CHINA; CORONAVIRINAE; EPIDEMIC; HUMAN; INFECTION CONTROL; INFECTION PREVENTION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SEVERE ACUTE RESPIRATORY SYNDROME; SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2; VIRUS TRANSMISSION; BETACORONAVIRUS; CORONAVIRUS INFECTION; FORECASTING; THEORETICAL MODEL; VIRUS PNEUMONIA;

COVID-19; SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2;

BASIC REPRODUCTION NUMBER; BETACORONAVIRUS; CHINA; CORONAVIRUS INFECTIONS; FORECASTING; HUMANS; MODELS, THEORETICAL; PNEUMONIA, VIRAL;

EID: 85079451848     PISSN: 17565383     EISSN: 17565391     Source Type: Journal    
DOI: 10.1111/jebm.12376     Document Type: Article

References (20)

1. Adnerson RM. May RM, Infectious Diseases of Humans: Dynamics and Control. Oxford: Oxford University Press, 1991.
2. Chinazzi M, Davis JT, Gioannini C, et al. Series reports entitled “preliminary assessment of the international spreading risk associated with the 2019 novel coronavirus outbreak in Wuhan City.” Unpublished, 2020.
3. Donnelly CA, Ghani AC, Leung GM, et al. Epidemiological determinants of spread of causal agent of severe acute respiratory syndromein Hong Kong. Lancet. 2003;361:1761–1766.
4. Chan JFW, Yuan S, Kok KH, 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. 2020. https://doi.org/10.1016/S0140-6736(20)30154-9
5. Pastor-Satorras R, Castellano C, Mieghem PV, et al. Epidemic processes in complex networks. Rev Mod Phys. 2015;87(3):925–979.
6. Wallinga J, Lipsitch M. How generation intervals shape the relationship between growth rates and reproductive numbers. Proc R Soc B: Biol Sci. 2007;274(1609):599–604.
7. Imai N, Dorigatti I, Cori A, et al. Series reports entitled “Estimating the potential total number of novel coronavirus in Wuhan City, China.” Unpublished.
8. Read JM, Bridgen JRE, Cummings DAT, et al. Novel coronavirus 2019-nCoV: early estimation of epidemiological parameters and epidemic predictions. Preprint. MedRXiv. 2020. http://doi.org/10.1101/2020.01.23.20018549.
9. Leo YS, Chen M, Heng BH, et al. Severe acute respiratory syndrome—Singapore 2003. Morb Mortal Weekly Report. 2003;52(18):405–432.
10. Lipsitch M, Cohen T, Cooper B, et al. Transmission dynamics and control of severe acute respiratory syndrome. Science. 2003;300(5627):1966–1970.
11. Imai N, Cori A, Dorigatti I, et al. Transmissibility of 2019-nCoV. Unpublished, 2020.
12. Riley S. Transmission dynamics of the etiological agent of SARS in Hong Kong: impact of public health interventions. Science. 2003;300(5627):1961–1966.
13. Wallinga J, Teunis P. Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures. Am J Epidemiol. 2004;160(6):509–517.
14. Lessler J, Chaisson LH, Kucirka LM, et al. Assessing the global threat from Zika virus. Science. 2016;353:aaf8160.
15. Majumder MS, Rivers C, Lofgren E, et al. Estimation of MERS-coronavirus reproductive number and case fatality rate for the spring 2014 Saudi Arabia outbreak: insights from publicly available data. PLoS Curr. 2014;6. 10.1371/currents.outbreaks.98d2f8f3382d84f390736cd5f5fe133c
16. Eichner M, Dietz K. Transmission potential of smallpox: estimates based on detailed data from an outbreak. Am J Epidemiol. 2003;158(2):110–117.
17. Balcan D, Gonçalves B, Hu H, et al. Modeling the spatial spread of infectious diseases: the Global Epidemic and Mobility computational model. J Com Sci. 2010;1(3):132–145.
18. Brockmann D, Helbing D. The hidden geometry of complex, network-driven contagion phenomena. Science. 2013;342(6164):1337–1342.
19. Bengtsson L, Gaudart J, Lu X, et al. Using mobile phone data to predict the spatial spread of cholera. Sci Rep. 2015;5:8923.
20. Liu QH, Ajelli M, Aleta A, et al. Measurability of the epidemic reproduction number in data-driven contact networks. Proc Natl Acad Sci USA. 2018;115(50):12680–12685.