A data driven epidemic model to analyse the lockdown effect and predict the course of COVID-19 progress in India

We propose a data driven epidemic model using the real data on the infection, recovery and death cases for the analysis of COVID-19 progression in India. The model assumes continuation of existing control measures such as lockdown and quarantines, the suspected and confirmed cases and does not consi...

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Detalles Bibliográficos
Autores principales: Sahoo, Bijay Kumar, Sapra, Balvinder Kaur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305920/
https://www.ncbi.nlm.nih.gov/pubmed/32834595
http://dx.doi.org/10.1016/j.chaos.2020.110034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305920/
https://www.ncbi.nlm.nih.gov/pubmed/32834595
http://dx.doi.org/10.1016/j.chaos.2020.110034

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