COVID-19 Epidemic Analysis Using Linear and Polynomial Regression Approach-Reference-Cited by-同舟云学术

COVID-19 Epidemic Analysis Using Linear and Polynomial Regression Approach

Published:2021 Issue: Volume: Page:245-255
ISSN:2662-981X
Container-title:Medical Virology: From Pathogenesis to Disease Control
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Author:

Sah Sweeti,Kanmani Sujithra,Kamerkar Akash,Surendiran B.,Dhanalakshmi R.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-7317-0_13

Reference19 articles.

1. Bandyopadhyay SK, Dutta S (2020) Machine learning approach for confirmation of COVID-19 cases: positive, negative, death and release. medRxiv. https://doi.org/10.1101/2020.03.25.20043505

2. Barstugan M, Ozkaya U, Ozturk S (2020) Coronavirus (COVID-19) classification using CT images by machine learning methods. 5:1–10. http://arxiv.org/abs/2003.09424

3. CDC (2020) National Center for Immunization and Respiratory Diseases (NCIRD), Division of Viral Diseases, People with certain medical condition. https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html. Accessed July 2020

4. CDC (2020) National Center for Immunization and Respiratory Diseases (NCIRD), Division of Viral Diseases, Symptoms of COVID-19. https://www.cdc.gov/coronavirus/2019-ncov/downloads/COVID19-symptoms-11x17-en.pdf. Accessed May 2020

5. Chauhan P, Kumar A, Jamdagni P (2020) Regression analysis of COVID-19 spread in India and its different states. medRxiv. https://doi.org/10.1101/202005.29.20117069

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