Abstract
Coronavirus scourge is manifested as the general fortune dilemma of planetary stew by the World Health Organization in the second multi-day stretch of March 2020. This sickness starts in China during December 2019 has just destroyed the globe, including India. The initial case in quite a while was accounted for on 23rd Feb 2020, with the cases crossing nearly 6000 on the day. The complete isolation of the country for 21 days and quick disengagement of contaminated cases are the energetic advances took by the specialists. In this work, the Indian Covid dataset is taken for Analysis and Prediction. Two epidemic models named SIR and SEIR are used to analyze the dataset and to have the comparison to determine SEIR model is performing better prediction than the SIR for our dataset.
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Jothi, A.M., Charumathi, A., Yuvarani, A., Parvathi, R. (2022). Data Prediction and Analysis of COVID-19 Using Epidemic Models. In: Ranganathan, G., Bestak, R., Palanisamy, R., Rocha, Á. (eds) Pervasive Computing and Social Networking. Lecture Notes in Networks and Systems, vol 317. Springer, Singapore. https://doi.org/10.1007/978-981-16-5640-8_9
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DOI: https://doi.org/10.1007/978-981-16-5640-8_9
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