Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
Open Access
- 1 January 2020
- journal article
- research article
- Published by American Institute of Mathematical Sciences (AIMS) in Mathematical Biosciences and Engineering
- Vol. 17 (4), 3040-3051
- https://doi.org/10.3934/mbe.2020172
Abstract
We model the COVID-19 coronavirus epidemic in China. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies restricting social movement, the identification and isolation of unreported cases, and the impact of asymptomatic infectious cases.Keywords
This publication has 10 references indexed in Scilit:
- Understanding Unreported Cases in the COVID-19 Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health InterventionsBiology, 2020
- Novel Coronavirus Outbreak in Wuhan, China, 2020: Intense Surveillance Is Vital for Preventing Sustained Transmission in New LocationsJournal of Clinical Medicine, 2020
- Initial Cluster of Novel Coronavirus (2019-nCoV) Infections in Wuhan, China Is Consistent with Substantial Human-to-Human TransmissionJournal of Clinical Medicine, 2020
- Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health InterventionsJournal of Clinical Medicine, 2020
- Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early OutbreakJournal of Clinical Medicine, 2020
- Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling studyThe Lancet, 2020
- The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health — The latest 2019 novel coronavirus outbreak in Wuhan, ChinaInternational Journal of Infectious Diseases, 2020
- Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020Infectious Disease Modelling, 2020
- An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)Infectious Disease Modelling, 2020
- IDM editorial statement on the 2019-nCoVInfectious Disease Modelling, 2020