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

Sahoo, Bijay Kumar; Sapra, Balvinder Kaur

Sahoo, Bijay Kumar; Sapra, Balvinder Kaur.

Affiliation

Sahoo BK; Radiological Physics and Advisory Division, Bhabha Atomic Research Centre, Mumbai, 400 094, India.
Sapra BK; Homi Bhabha National Institute, Department of Atomic Energy, Mumbai, 400 094, India.

Chaos Solitons Fractals ; 139: 110034, 2020 Oct.

Article in En | MEDLINE | ID: mdl-32834595

Key words

COVID-19; Cross correlation; Data driven model; End time; Infected cases; Least square fitting; Mean recovery time; Peak infected cases; Peak time; Prediction; Time-lag analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Chaos Solitons Fractals Year: 2020 Document type: Article Affiliation country: India

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