چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| COVID-19 is a novel coronavirus that was reported by the world health organization inlate December 2019. As an unexplained respiratory disease epidemic, which is similar torespiratory syndrome coronavirus SARS-CoV, it rapidly spread all over the world. Thestudy aims to compare several parameters of COVID-19 and SARS-CoV infectious dis-eases in terms of incidence, mortality, and recovery rates. The publicly available datasetWorldometer (extracted on April 5, 2020) confirmed by WHO report was available formeta-analysis purposes using the Meta-MUMS tool. And, the reported outcomes of theanalysis used a random-effects model to evaluate the event rate, and risk ratios thoroughsubgroup analysis forest plots. Seventeen countries for COVID-19 and eight countries ofSARS infections, including COVID-19 groupn51124243, and SARS-CoV groupn58346, were analyzed. In this meta-analysis, a random effect model of relations ofincidence, mortality, and recovery rates of COVID-19 and SARS world infections weredetermined. The meta-analysis and forest plots of two viral world infections showed thatthe incidence rate of COVID-19 infection is more than SARS infections, while recoveryand mortality event rates of SARS-CoV are more than COVID-19 infection. And sub-group analysis showed that the mortality and recovery rates were higher in bothSARS-CoV wand COVID-19 in comparison to incidence and mortality rates, respec-tively. In conclusion, the meta-analysis approach on the abovementioned dataset revealedthe epidemiological and statistical analyses for comparing COVID-19 and SARS-CoVoutbreaks. |
| نویسنده | نفر چندم مقاله |
|---|---|
| محسن سکوتی اسکوئی | پنجم |
| مرتضی قوجازاده | ششم |
| بابک سکوتی | هفتم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| 1-s2.0-S0188440920304835-main.pdf | 1399/03/30 | 1595599 | دانلود |
