en Health Improvement Strategies Health Improvement Strategies مقاله پژوهشی Original Research Article <p style="direction: ltr; font-style: normal; text-align: justify;"><span style="display: none;">&nbsp;</span><span style="display: none;">&nbsp;</span><span style="font-size:16px;"><span style="font-family:Times New Roman;"><strong><span style="background:#2D7F8F;"><span style="color:white;"><span style="background-color:#008080;">&nbsp;Background & Objective:</span></span></span> </strong>Since the clinical and epidemiologic characteristics of coronavirus disease 2019 (COVID-19) is not well known yet, investigating its origin, etiology, diagnostic criteria, clinical manifestations, risk factors, treatments, and other related aspects is extremely important. In this situation, clinical experts face many uncertainties to make decision about COVID-19 prognosis based on their judgment. Accordingly, this study aimed to determine the diagnostic criteria for COVID-19 as a prerequisite to develop clinical diagnostic models.</span></span><br> <span style="font-size:16px;"><span style="font-family:Times New Roman;"><strong><span style="letter-spacing:-.1pt;background:#2D7F8F;"><span style="color:white;"><span style="background-color:#008080;">&nbsp;Materials & Methods:</span></span></span></strong>&nbsp;In this retrospective study, the Enter method of the binary logistic regression (BLR) and the Forward Wald method were used to measure the odds ratio (OR) and the strength of each criterion, respectively. P-value<0.05 was considered as statistically significant for bivariate correlation coefficient.</span></span><br> <span style="font-size:16px;"><span style="font-family:Times New Roman;"><strong><span style="background:#2D7F8F;"><span style="color:white;"><span style="background-color:#008080;">&nbsp;Results: </span></span></span>&nbsp;</strong>Phi-Crammer&rsquo;s examination test showed that 12 diagnostic criteria were statistically important; measuring OR&nbsp;revealed that six criteria had the best diagnostic power. Finally, true classification rate and the area under receiver operative characteristics curve (AUC) were calculated as 90.25% and 0.835, respectively.</span></span><br> <span style="font-size:16px;"><span style="font-family:Times New Roman;"><strong><span style="background:#2D7F8F;"><span style="color:white;"><span style="background-color:#008080;">&nbsp;Conclusion: </span></span></span></strong>&nbsp;Identification of diagnostic criteria has become the standard approach for disease modeling; it helps to design decision support tools. After analyzing and comparing six diagnostic performance measures, we observed that these variables have a high diagnostic power for COVID-19 detection.</span></span></p> <div style="text-align: justify;"><p style="font-style:normal;"></p><p style="font-style:normal;"></p></div> <div style="text-align: justify;"><p style="font-style:normal;"></p></div> <p></p><p style="font-style:normal;"></p><div style="direction: ltr;"></div><div style="direction: ltr;"></div><p style="font-style:normal;"></p><div style="direction: ltr;"></div> <div style="direction: ltr;"><span style="font-size:14px;"><span style="display: none;">&nbsp;</span></span></div> <div style="direction: ltr;"><strong><span style="display: none;">&nbsp;</span></strong></div> COVID-19, Coronavirus, Diagnostic criteria, Odds ratio, Regression model 176 182 http://journal.zums.ac.ir/browse.php?a_code=A-10-5581-1&slc_lang=en&sid=1 Mostafa Shanbehzadeh mostafa.shanbezadeh@gmail.com 5200319475328460064132 5200319475328460064132 Yes Dept. of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran Raoof Nopour 5200319475328460064133 5200319475328460064133 No Dept. of Health Information Technology and Management, School of Paramedical, Tehran University of Medical Sciences, Tehran, Iran Hadi kazemi-arpanahi hadi.kazemi67@yahoo.com 5200319475328460064134 5200319475328460064134 No Dept. of Health Information Technology, Abadan Faculty of Medical Sciences, Abadan, Iran | Dept. of Student Research Committee, Abadan Faculty of Medical Sciences, Abadan, Iran