دورية أكاديمية

Automated analysis of fatality rates for COVID 19 across different countries

التفاصيل البيبلوغرافية
العنوان: Automated analysis of fatality rates for COVID 19 across different countries
المؤلفون: Shaima Ibraheem Jabbar
المصدر: Alexandria Engineering Journal, Vol 60, Iss 1, Pp 521-526 (2021)
بيانات النشر: Elsevier, 2021.
سنة النشر: 2021
المجموعة: LCC:Engineering (General). Civil engineering (General)
مصطلحات موضوعية: COVID 19, Case fatality rate (CFR), Health services, Simple algorithm, Prediction, Engineering (General). Civil engineering (General), TA1-2040
الوصف: One of the significant parameters that helps in the reporting the highest risk areas, which have COVID 19 pandemic is case fatality rate (CFR). In this work, automated analysis was carried out to evaluate fatality rate (CFR) across different countries. Furthermore, a state of art algorithm is proposed to estimate CFR and it is possible to make it applicable in the mobile phone. This application will enable us to monitor the status level of the patients (suspected, exposed and infected) to save time, efforts and get a high quailty of the recordings. All data were obtained from (https://www.worldometers.info/coronavirusTest/) and pointed at the period between 27th March and 27th May 2020. Results present Spain and Egypt have a highest score of the fatality rate (approximately 24%) compared with previous research, which Italy was the highest score of the case fatality rate (CFR). On the other hand, Australia has had the lowest of the (CFR) in the current and previous researches. Furthermore, Spain has the highest percentage score of the total active cases and death rate: 0.41% and 0.00073% respectively. Documentation and comparison fatality rate of COVID 19 pandemic across different countries could assist in illustrating the strength of this pandemic, speed spreading and risk area which infected of this disease.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1110-0168
العلاقة: http://www.sciencedirect.com/science/article/pii/S111001682030483XTest; https://doaj.org/toc/1110-0168Test
DOI: 10.1016/j.aej.2020.09.027
الوصول الحر: https://doaj.org/article/6f5c5c26d7f44f8b83e1677b057f38d5Test
رقم الانضمام: edsdoj.6f5c5c26d7f44f8b83e1677b057f38d5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:11100168
DOI:10.1016/j.aej.2020.09.027