PMC:7039910 / 20495-21105 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7039910","sourcedb":"PMC","sourceid":"7039910","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7039910","text":"We employed an infectious disease dynamics model (SEIR model) for the purpose of modeling and predicting the number of COVID-19 cases in Wuhan, China. The model is a classic epidemic method to analyze the infectious disease, which has a definite latent period, and has proved to be predictive for a variety of acute infectious diseases in the past such as Ebola and SARS22,26–31. Application of the mathematical model is of great guiding significance to assess the impact of isolation of symptomatic cases as well as observation of asymptomatic contact cases and to promote evidence-based decisions and 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