Abstract
Abstract
In response to the practical application of new COVID-19 transmission dynamics models such as new coronary pneumonia, the number of contacts associated with real-time data of confirmed cases is proposed, and the new COVID-19 transmission dynamics model based on machine learning algorithms is optimized. Enhance the practical value of the model. This type of exposure can be extended to other new cases of COVID-19, revealing the risk of transmission at different times during the outbreak.
Subject
General Physics and Astronomy
Reference7 articles.
1. A mathematical model for estimating residual transmission risk of occult hepatitis b virus infection with different blood safety scenarios;Weusten;Transfusion,2017
2. Insights into the role of immunosenescence during varicella zoster (shingles) virus infection in aging cell model;Kim;Journal of Dermatological Science,2017
3. Acute hepatitis b virus infection model within the host incorporating immune cells and cytokine responses;Manda;Theory in Biosciences,2019
4. A neonatal murine model of coxsackievirus a6 infection for evaluation of antiviral and vaccine efficacy;Zhang;Journal of Virology,2017
5. Acute hepatitis b virus infection model within the host incorporating immune cells and cytokine responses;Manda;Theory in Biosciences,2020