A study of the possible factors affecting COVID‐19 spread, severity and mortality and the effect of social distancing on these factors: Machine learning forecasting model-Reference-Cited by-同舟云学术

A study of the possible factors affecting COVID‐19 spread, severity and mortality and the effect of social distancing on these factors: Machine learning forecasting model

Published:2021-03-08 Issue:6 Volume:75 Page:
ISSN:1368-5031
Container-title:International Journal of Clinical Practice
language:en
Short-container-title:Int J Clin Pract

Author:

Zawbaa Hossam M.¹,El‐Gendy Ahmed²,Saeed Haitham³^ORCID,Osama Hasnaa³,Ali Ahmed M. A.⁴,Gomaa Dina⁵⁶,Abdelrahman Mona³^ORCID,Harb Hadeer S.³^ORCID,Madney Yasmin M.³^ORCID,Abdelrahim Mohamed E. A.³^ORCID

Affiliation:

1. Faculty of Computers and Artificial Intelligence Beni‐Suef University Beni‐Suef Egypt

2. Microbiology and Immunology Department Faculty of Pharmacy Beni‐Suef University Beni‐Suef Egypt

3. Clinical Pharmacy Department Faculty of Pharmacy Beni‐Suef University Beni‐Suef Egypt

4. Department of Pharmaceutics and Industrial Pharmacy College of Pharmacy Taif University Taif Saudi Arabia

5. Egyptian Drug Authority Cairo Egypt

6. RAMEDA Pharmaceuticals Cairo Egypt

Publisher

Hindawi Limited

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijcp.14116

Reference38 articles.

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2. New Zealand's elimination strategy for the COVID‐19 pandemic and what is required to make it work;Baker MG;New Zealand Med J (Online),2020

3. A midpoint perspective on the COVID-19 pandemic

4. Public awareness in Egypt about COVID-19 spread in the early phase of the pandemic

5. Bacillus Calmette–Guérin vaccine, antimalarial, age and gender relation to COVID-19 spread and mortality

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