Data-Driven Deep-Learning Algorithm for Asymptomatic COVID-19 Model with Varying Mitigation Measures and Transmission Rate

Epidemiological models with constant parameters may not capture satisfactory infection patterns in the presence of pharmaceutical and non-pharmaceutical mitigation measures during a pandemic, since infectiousness is a function of time. In this paper, an Epidemiology-Informed Neural Network algorithm...

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Detalles Bibliográficos
Autores principales: Olumoyin, K. D., Khaliq, A. Q. M., Furati, K. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620878/
https://www.ncbi.nlm.nih.gov/pubmed/36417211
http://dx.doi.org/10.3390/epidemiologia2040033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620878/
https://www.ncbi.nlm.nih.gov/pubmed/36417211
http://dx.doi.org/10.3390/epidemiologia2040033

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