http://cajgh.pitt.edu/ojs/cajgh <p><strong>Important announcement&nbsp;</strong></p> <p><em>Central Asian Journal of Global Health has discontinued publication as of Volume 10:1, and is no longer accepting submissions. Please contact cajgh@pitt.edu with any questions or inquiries.</em></p> <div class="yj6qo ajU">&nbsp;<strong>About the Journal</strong></div> <p><em>Central Asian Journal of Global Health</em>&nbsp;is a peer-reviewed open access journal focusing on the fields of public health and medicine.&nbsp;</p> <p>Our specific goal is to publish research from underrepresented regions, especially focusing on Central Asia. While one of our key areas of interest is the Central Asian region, <strong>we were open to submissions from across the world.&nbsp;</strong></p> <p>The journal provides a forum for discussion of all aspects of public health, medicine, and global health in Central Asia and around the world. In addition to research articles, reviews, and perspectives covering the field of health in Central Asia, the journal features news stories and investigates hot topics and new research practices in the field of public health.</p> <p>While we are an open access journal, our authors are not currently charged for publishing papers. With the help of volunteers, we have been able to publish the journal completely free of charge for the last six years.</p> <p><img src="http://cajgh.pitt.edu/ojs/public/site/images/jmp171/du-logo-2015-2-color.png" alt="" width="500" height="119"></p> <p><strong>Indexed</strong> in PubMed and&nbsp;Emerging Sources Citation Index (ESCI) of the Web of Science</p> University Library System, University of Pittsburgh en-US Central Asian Journal of Global Health 2166-7403 <p>Authors who publish with this journal agree to the following terms:</p><ol><li>The Author retains copyright in the Work, where the term “Work” shall include all digital objects that may result in subsequent electronic publication or distribution.</li><li>Upon acceptance of the Work, the author shall grant to the Publisher the right of first publication of the Work.</li><li>The Author shall grant to the Publisher and its agents the nonexclusive perpetual right and license to publish, archive, and make accessible the Work in whole or in part in all forms of media now or hereafter known under a <a title="CC-BY" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a> or its equivalent, which, for the avoidance of doubt, allows others to copy, distribute, and transmit the Work under the following conditions:<ol type="a"><li>Attribution—other users must attribute the Work in the manner specified by the author as indicated on the journal Web site;</li></ol>with the understanding that the above condition can be waived with permission from the Author and that where the Work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license.</li><li>The Author is able to enter into separate, additional contractual arrangements for the nonexclusive distribution of the journal's published version of the Work (e.g., post it to an institutional repository or publish it in a book), as long as there is provided in the document an acknowledgement of its initial publication in this journal.</li><li>Authors are permitted and encouraged to post online a prepublication manuscript (but not the Publisher’s final formatted PDF version of the Work) in institutional repositories or on their Websites prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work. 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Revision Description: Removed outdated link. </span></p> http://cajgh.pitt.edu/ojs/cajgh/article/view/489 <div><p class="AbstractParagraphs"><strong>Introduction: </strong>Case fatality rates (CFRs) and case recovery rates (CRRs) are frequently used to define health consequences related to specific disease epidemics, including the COVID-19 pandemic. This study aimed to compare various methods and models for calculating CFR and CRR related to COVID-19 based on the global and national data available as of April 2020.</p><p class="AbstractParagraphs"><strong>Methods: </strong>This analytical epidemiologic study was conducted based on detailed data from 210 countries and territories<strong> </strong>worldwide in April 2020. We used three different formulas to measure CFR and CRR, considering all possible scenarios.</p><p class="AbstractParagraphs"><strong>Results: </strong>We included information for 72 countries with more than 1,000 cases of COVID-19. Overall, using first, second, and third estimation models, the CFR were 6.22%, 21.20%, and 8.67%, respectively; similarly, the CRR was estimated as 23.21%, 78.86%, 32.23%, respectively. We have shown that CFRs vary so much spatially and depend on the estimation method and timing of case reports, likely resulting in overestimation.</p><p class="AbstractParagraphs"><strong>Conclusion: </strong>Even with the more precise method of CFRs estimation, the value is overestimated. Case fatality and recovery rates should not be the only measures used to evaluate disease severity, and the better assessment measures need to be developed as indicators of countries’ performance during COVID-19 pandemic.</p></div> Morteza Abdullatif Khafaie Fakher Rahim Copyright (c) 2021 Fakher Rahim, Morteza Abdullatif Khafaie 2021-01-15 2021-01-15 10 1 10.5195/cajgh.2021.489