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Data‐driven analysis and predictive modeling on COVID‐19

  • Published:2022-11-11 Issue:28 Volume:34 Page:
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency and Computation

Author:

Sharma Sonam1,Alsmadi Izzat2,Alkhawaldeh Rami S.3ORCID,Al‐Ahmad Bilal3ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science Syracuse University Syracuse USA

2. Department of Computing and Cyber Security Texas A&M University San Antonio Texas USA

3. Computer Information Systems Department The University of Jordan Aqaba Jordan Jordan

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference38 articles.

1. Organization WH others.Coronavirus disease (COVID‐19): weekly epidemiological update.2020.

2. Gender Differences in Patients With COVID-19: Focus on Severity and Mortality

3. HuongNTT.CARE rapid gender analysis for COVID‐19.2020.

4. Does nature have a systematic sex bias: prevalence, mortality, and trend of COVID‐19;Srivastava N;Ann Public Health Reports,2020

5. SobotkaT BrzozowskaZ MuttarakR ZemanK Di LegoV.Age gender and COVID‐19 infections. MedRxiv;2020.

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