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Automated analysis of fatality rates for COVID 19 across different countries
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 propos...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519713/ http://dx.doi.org/10.1016/j.aej.2020.09.027 |
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author | Jabbar, Shaima Ibraheem |
author_facet | Jabbar, Shaima Ibraheem |
author_sort | Jabbar, Shaima Ibraheem |
collection | PubMed |
description | 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/coronavirus/) 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. |
format | Online Article Text |
id | pubmed-7519713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75197132020-09-28 Automated analysis of fatality rates for COVID 19 across different countries Jabbar, Shaima Ibraheem Alexandria Engineering Journal Article 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/coronavirus/) 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. The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. 2021-02 2020-09-26 /pmc/articles/PMC7519713/ http://dx.doi.org/10.1016/j.aej.2020.09.027 Text en © 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Jabbar, Shaima Ibraheem Automated analysis of fatality rates for COVID 19 across different countries |
title | Automated analysis of fatality rates for COVID 19 across different countries |
title_full | Automated analysis of fatality rates for COVID 19 across different countries |
title_fullStr | Automated analysis of fatality rates for COVID 19 across different countries |
title_full_unstemmed | Automated analysis of fatality rates for COVID 19 across different countries |
title_short | Automated analysis of fatality rates for COVID 19 across different countries |
title_sort | automated analysis of fatality rates for covid 19 across different countries |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519713/ http://dx.doi.org/10.1016/j.aej.2020.09.027 |
work_keys_str_mv | AT jabbarshaimaibraheem automatedanalysisoffatalityratesforcovid19acrossdifferentcountries |