Evaluation and prediction of COVID-19 in India: A case study of worst hit states
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DOI: 10.1016/j.chaos.2020.110014
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References listed on IDEAS
- Ndaïrou, Faïçal & Area, Iván & Nieto, Juan J. & Torres, Delfim F.M., 2020. "Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
- Mandal, Manotosh & Jana, Soovoojeet & Nandi, Swapan Kumar & Khatua, Anupam & Adak, Sayani & Kar, T.K., 2020. "A model based study on the dynamics of COVID-19: Prediction and control," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
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Cited by:
- Nita H. Shah & Ankush H. Suthar & Ekta N. Jayswal & Ankit Sikarwar, 2021. "Fractional SIR-Model for Estimating Transmission Dynamics of COVID-19 in India," J, MDPI, vol. 4(2), pages 1-15, April.
- Katarzyna Czech & Anna Davy & Michał Wielechowski, 2021. "Does the COVID-19 Pandemic Change Human Mobility Equally Worldwide? Cross-Country Cluster Analysis," Economies, MDPI, vol. 9(4), pages 1-19, November.
- Lokman Gunduz & Ahmet Faruk Aysan & Rifgi Bugra Bagci & Hatice Karahan, 2024. "Explosive Behavior in COVID-19 and Policy Responses: Lessons Learned for Public Health Management," SAGE Open, , vol. 14(1), pages 21582440231, March.
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Keywords
SARS-CoV-2; Pandemic; System identification;All these keywords.
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