Comparative analysis of epidemiological models for COVID-19 pandemic predictions
Author:
Affiliation:
1. Deen Dayal Upadhyaya College, University of Delhi, Delhi, India
2. The NorthCap University, Gurugram, India
3. Defense Research & Development Organization, India
Publisher
Informa UK Limited
Subject
Health Informatics,Epidemiology
Link
https://www.tandfonline.com/doi/pdf/10.1080/24709360.2021.1913709
Reference52 articles.
1. The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned?
2. COVID-19: what has been learned and to be learned about the novel coronavirus disease
3. India Tv. Coronavirus cases worldwide cross 7.5 million mark, June 2020 [Online]. Available: https://www.indiatvnews.com/news/world/ coronavirus-cases-worldwide-country-wise-list-covid-19-death-toll- 625469.
4. Adam D. Modelers struggle to predict the future of the COVID-19 pandemic, March 2020 [Online]. Available: https://www.the-scientist.com/news-opinion/modelers-struggle-to-predict-the-future-of-the-covid-19-pandemic-67261.
5. Artificial intelligence and machine learning to fight COVID-19
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