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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...
Autores principales: | Sahoo, Bijay Kumar, Sapra, Balvinder Kaur |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
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 |
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