Publication Name	World Journal of Virology
Manuscript ID	87881
Country	United States

Received	2023-08-31 12:25
Peer-Review Started	2023-08-31 12:27
To Make the First Decision
Return for Revision	2023-10-24 06:44
Revised	2023-11-07 17:16
Second Decision	2023-12-17 23:25
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2023-12-25 07:07
Articles in Press	2023-12-25 07:07
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-03-01 04:00
Publish the Manuscript Online	2024-03-11 14:44

ISSN	2220-3249 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright	©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Virology
Manuscript Type	Basic Study
Article Title	Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis
Manuscript Source	Invited Manuscript
All Author List	Soodeh Sagheb, Ali Gholamrezanezhad, Elizabeth Pavlovic, Mohsen Karami and Mina Fakhrzadegan
ORCID	Author(s) ORCID Number Ali Gholamrezanezhad http://orcid.org/0000-0001-6930-4246
Funding Agency and Grant Number
Corresponding Author	Ali Gholamrezanezhad, MD, Associate Professor, Department of Radiology, Keck School of Medicine, University of Southern California, 3551 Trousdale Pkwy, University Park, Los Angeles, CA 90033, United States. ali.gholamrezanezhad@med.usc.edu
Key Words	Coronavirus disease 2019; Severe acute respiratory syndrome coronavirus 2; Case fatality rate; Predictive model; Multiple regression
Core Tip	The current study recommends some new predictors explaining affect mortality rate. Thus, it could help decision-makers develop health policies to fight coronavirus disease 2019.
Publish Date	2024-03-11 14:44
Citation	Sagheb S, Gholamrezanezhad A, Pavlovic E, Karami M, Fakhrzadegan M. Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis. World J Virol 2024; 13(1): 87881
URL	https://www.wjgnet.com/2220-3249/full/v13/i1/87881.htm
DOI	https://dx.doi.org/10.5501/wjv.v13.i1.87881

Full Article (PDF)	WJV-13-87881-with-cover.pdf
Full Article (Word)	WJV-13-87881.docx
Manuscript File	87881_Auto_Edited-LJH-YJP.docx
Answering Reviewers	87881-Answering reviewers.pdf
Audio Core Tip	87881-Audio core tip.mp3
Biostatistics Review Certificate	87881-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	87881-Conflict-of-interest statement.pdf
Copyright License Agreement	87881-Copyright license agreement.pdf
Peer-review Report	87881-Peer-review(s).pdf
Journal Editor-in-Chief Review Report	87881-Journal editor-in-chief review report.pdf
Scientific Misconduct Check	87881-Bing-Liu JH-2.png
Scientific Misconduct Check	87881-CrossCheck.png
Scientific Editor Work List	87881-Scientific editor work list.pdf