| Literature DB >> 32182724 |
Zhihua Liu1, Pierre Magal2,3, Ousmane Seydi4, Glenn Webb5.
Abstract
We develop a mathematical model to provide epidemic predictions for the COVID-19 epidemic in Wuhan, China. We use reported case data up to 31 January 2020 from the Chinese Center for Disease Control and Prevention and the Wuhan Municipal Health Commission to parameterize the model. From the parameterized model, we identify the number of unreported cases. We then use the model to project the epidemic forward with varying levels of public health interventions. The model predictions emphasize the importance of major public health interventions in controlling COVID-19 epidemics.Entities:
Keywords: corona virus; epidemic mathematical model; isolation; public closings; quarantine; reported and unreported cases
Year: 2020 PMID: 32182724 DOI: 10.3390/biology9030050
Source DB: PubMed Journal: Biology (Basel) ISSN: 2079-7737