Reaction order and neural network approaches for the simulation of COVID-19 spreading kinetic in India

COVID-19 has created a pandemic situation in the whole world. Controlling of COVID-19 spreading rate in the social environment is a challenge for all individuals. In the present study, simulation of the lockdown effect on the COVID-19 spreading rate in India and mapping of its recovery percentage (u...

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Detalles Bibliográficos
Autores principales: Chakraborty, Sourav, Choudhary, Arun Kumar, Sarma, Mausumi, Hazarika, Manuj Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2020
Materias:
Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511200/
https://www.ncbi.nlm.nih.gov/pubmed/32989426
http://dx.doi.org/10.1016/j.idm.2020.09.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511200/
https://www.ncbi.nlm.nih.gov/pubmed/32989426
http://dx.doi.org/10.1016/j.idm.2020.09.002

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