Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
Preprint
- 24 January 2020
- preprint
- Published by Cold Spring Harbor Laboratory
Abstract
Backgrounds: An ongoing outbreak of a novel coronavirus (2019-nCoV) pneumonia hit a major city of China, Wuhan, December 2019 and subsequently reached other provinces/regions of China and countries. We present estimates of the basic reproduction number, R0, of 2019-nCoV in the early phase of the outbreak.Methods: Accounting for the impact of the variations in disease reporting rate, we modelled the epidemic curve of 2019-nCoV cases time series, in mainland China from January 10 to January 24, 2020, through the exponential growth. With the estimated intrinsic growth rate (γ), we estimated R0 by using the serial intervals (SI) of two other well-known coronavirus diseases, MERS and SARS, as approximations for the true unknown SI.Findings: The early outbreak data largely follows the exponential growth. We estimated that the mean R0 ranges from 2.24 (95%CI: 1.96-2.55) to 3.58 (95%CI: 2.89-4.39) associated with 8-fold to 2-fold increase in the reporting rate. We demonstrated that changes in reporting rate substantially affect estimates of R0.Conclusion: The mean estimate of R0 for the 2019-nCoV ranges from 2.24 to 3.58, and significantly larger than 1. Our findings indicate the potential of 2019-nCoV to cause outbreaks.Keywords
Other Versions
- Published version: Version International Journal of Infectious Diseases, 92, preprints
This publication has 13 references indexed in Scilit:
- Simple framework for real-time forecast in a data-limited situation: the Zika virus (ZIKV) outbreaks in Brazil from 2015 to 2016 as an exampleParasites & Vectors, 2019
- Modeling the spread of Middle East respiratory syndrome coronavirus in Saudi ArabiaStatistical Methods in Medical Research, 2018
- Hospital Outbreak of Middle East Respiratory Syndrome CoronavirusThe New England Journal of Medicine, 2013
- School Closure and Mitigation of Pandemic (H1N1) 2009, Hong KongEmerging Infectious Diseases, 2010
- Estimation of the Serial Interval of InfluenzaEpidemiology, 2009
- How generation intervals shape the relationship between growth rates and reproductive numbersProceedings. Biological sciences, 2006
- Dynamically Modeling SARS and Other Newly Emerging Respiratory IllnessesEpidemiology, 2005
- Different Epidemic Curves for Severe Acute Respiratory Syndrome Reveal Similar Impacts of Control MeasuresAmerican Journal of Epidemiology, 2004
- Transmission Dynamics and Control of Severe Acute Respiratory SyndromeScience, 2003
- Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong KongThe Lancet, 2003