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Articles Published Processes
3/11/2024 2:44:49 PM | Browse: 141 | Download: 377
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Received |
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2023-08-31 12:25 |
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Peer-Review Started |
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2023-08-31 12:27 |
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To Make the First Decision |
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Return for Revision |
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2023-10-24 06:44 |
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Revised |
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2023-11-07 17:16 |
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Second Decision |
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2023-12-17 23:25 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-12-25 07:07 |
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Articles in Press |
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2023-12-25 07:07 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-03-01 04:00 |
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Publish the Manuscript Online |
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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. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Virology |
Manuscript Type |
Basic Study |
Article Title |
Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis
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Manuscript Source |
Invited Manuscript |
All Author List |
Soodeh Sagheb, Ali Gholamrezanezhad, Elizabeth Pavlovic, Mohsen Karami and Mina Fakhrzadegan |
ORCID |
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Funding Agency and Grant Number |
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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 |
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