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Global data analysis and risk factors associated with morbidity and mortality of COVID-19()

This review was focused on global data analysis and risk factors associated with morbidity and mortality of coronavirus disease 2019 from different countries, including Bangladesh, Brazil, China, Central Eastern Europe, Egypt, India, Iran, Pakistan, and South Asia, Africa, Turkey and UAE. Male showe...

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Autores principales: Tazerji, Sina Salajegheh, Shahabinejad, Fatemeh, Tokasi, Mahya, Rad, Mohammad Ali, Khan, Muhammad Sajjad, Safdar, Muhammad, Filipiak, Krzysztof J., Szarpak, Lukasz, Dzieciatkowski, Tomasz, Jurgiel, Jan, Duarte, Phelipe Magalhães, Rahman, Md. Tanvir, Sobur, Md. Abdus, Islam, Md. Saiful, Ahmed, Adnan, Shaheen, Mohamed N.F., Shehata, Awad A., Gharieb, Rasha, Fawzy, Mohamed, Malik, Yashpal Singh, Jaganathasamy, Nagaraj, Rajendran, Vinodhkumar Obli, Subbaram, Kannan, Ali, P Shaik Syed, Ali, Sheeza, Rehman, Saif Ur, Ozaslan, Mehmet, Khan, Gulfaraz, Saeed, Muhammad, Younas, Umair, Imran, Safdar, Junejo, Yasmeen, Arabkarami, Parmida, Hogan, Unarose, Rodriguez-Morales, Alfonso J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761036/
https://www.ncbi.nlm.nih.gov/pubmed/35071820
http://dx.doi.org/10.1016/j.genrep.2022.101505
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author Tazerji, Sina Salajegheh
Shahabinejad, Fatemeh
Tokasi, Mahya
Rad, Mohammad Ali
Khan, Muhammad Sajjad
Safdar, Muhammad
Filipiak, Krzysztof J.
Szarpak, Lukasz
Dzieciatkowski, Tomasz
Jurgiel, Jan
Duarte, Phelipe Magalhães
Rahman, Md. Tanvir
Sobur, Md. Abdus
Islam, Md. Saiful
Ahmed, Adnan
Shaheen, Mohamed N.F.
Shehata, Awad A.
Gharieb, Rasha
Fawzy, Mohamed
Malik, Yashpal Singh
Jaganathasamy, Nagaraj
Rajendran, Vinodhkumar Obli
Subbaram, Kannan
Ali, P Shaik Syed
Ali, Sheeza
Rehman, Saif Ur
Ozaslan, Mehmet
Khan, Gulfaraz
Saeed, Muhammad
Younas, Umair
Imran, Safdar
Junejo, Yasmeen
Arabkarami, Parmida
Hogan, Unarose
Rodriguez-Morales, Alfonso J.
author_facet Tazerji, Sina Salajegheh
Shahabinejad, Fatemeh
Tokasi, Mahya
Rad, Mohammad Ali
Khan, Muhammad Sajjad
Safdar, Muhammad
Filipiak, Krzysztof J.
Szarpak, Lukasz
Dzieciatkowski, Tomasz
Jurgiel, Jan
Duarte, Phelipe Magalhães
Rahman, Md. Tanvir
Sobur, Md. Abdus
Islam, Md. Saiful
Ahmed, Adnan
Shaheen, Mohamed N.F.
Shehata, Awad A.
Gharieb, Rasha
Fawzy, Mohamed
Malik, Yashpal Singh
Jaganathasamy, Nagaraj
Rajendran, Vinodhkumar Obli
Subbaram, Kannan
Ali, P Shaik Syed
Ali, Sheeza
Rehman, Saif Ur
Ozaslan, Mehmet
Khan, Gulfaraz
Saeed, Muhammad
Younas, Umair
Imran, Safdar
Junejo, Yasmeen
Arabkarami, Parmida
Hogan, Unarose
Rodriguez-Morales, Alfonso J.
author_sort Tazerji, Sina Salajegheh
collection PubMed
description This review was focused on global data analysis and risk factors associated with morbidity and mortality of coronavirus disease 2019 from different countries, including Bangladesh, Brazil, China, Central Eastern Europe, Egypt, India, Iran, Pakistan, and South Asia, Africa, Turkey and UAE. Male showed higher confirmed and death cases compared to females in most of the countries. In addition, the case fatality ratio (CFR) for males was higher than for females. This gender variation in COVID-19 cases may be due to males' cultural activities, but similar variations in the number of COVID-19 affected males and females globally. Variations in the immune system can illustrate this divergent risk comparatively higher in males than females. The female immune system may have an edge to detect pathogens slightly earlier. In addition, women show comparatively higher innate and adaptive immune responses than men, which might be explained by the high density of immune-related genes in the X chromosome. Furthermore, SARS-CoV-2 viruses use angiotensin-converting enzyme 2 (ACE2) to enter the host cell, and men contain higher ACE2 than females. Therefore, males may be more vulnerable to COVID-19 than females. In addition, smoking habit also makes men susceptible to COVID-19. Considering the age-wise distribution, children and older adults were less infected than other age groups and the death rate. On the contrary, more death in the older group may be associated with less immune system function. In addition, most of these group have comorbidities like diabetes, high pressure, low lungs and kidney function, and other chronic diseases. Due to the substantial economic losses and the numerous infected people and deaths, research examining the features of the COVID-19 epidemic is essential to gain insight into mitigating its impact in the future and preparedness for any future epidemics.
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spelling pubmed-87610362022-01-18 Global data analysis and risk factors associated with morbidity and mortality of COVID-19() Tazerji, Sina Salajegheh Shahabinejad, Fatemeh Tokasi, Mahya Rad, Mohammad Ali Khan, Muhammad Sajjad Safdar, Muhammad Filipiak, Krzysztof J. Szarpak, Lukasz Dzieciatkowski, Tomasz Jurgiel, Jan Duarte, Phelipe Magalhães Rahman, Md. Tanvir Sobur, Md. Abdus Islam, Md. Saiful Ahmed, Adnan Shaheen, Mohamed N.F. Shehata, Awad A. Gharieb, Rasha Fawzy, Mohamed Malik, Yashpal Singh Jaganathasamy, Nagaraj Rajendran, Vinodhkumar Obli Subbaram, Kannan Ali, P Shaik Syed Ali, Sheeza Rehman, Saif Ur Ozaslan, Mehmet Khan, Gulfaraz Saeed, Muhammad Younas, Umair Imran, Safdar Junejo, Yasmeen Arabkarami, Parmida Hogan, Unarose Rodriguez-Morales, Alfonso J. Gene Rep Article This review was focused on global data analysis and risk factors associated with morbidity and mortality of coronavirus disease 2019 from different countries, including Bangladesh, Brazil, China, Central Eastern Europe, Egypt, India, Iran, Pakistan, and South Asia, Africa, Turkey and UAE. Male showed higher confirmed and death cases compared to females in most of the countries. In addition, the case fatality ratio (CFR) for males was higher than for females. This gender variation in COVID-19 cases may be due to males' cultural activities, but similar variations in the number of COVID-19 affected males and females globally. Variations in the immune system can illustrate this divergent risk comparatively higher in males than females. The female immune system may have an edge to detect pathogens slightly earlier. In addition, women show comparatively higher innate and adaptive immune responses than men, which might be explained by the high density of immune-related genes in the X chromosome. Furthermore, SARS-CoV-2 viruses use angiotensin-converting enzyme 2 (ACE2) to enter the host cell, and men contain higher ACE2 than females. Therefore, males may be more vulnerable to COVID-19 than females. In addition, smoking habit also makes men susceptible to COVID-19. Considering the age-wise distribution, children and older adults were less infected than other age groups and the death rate. On the contrary, more death in the older group may be associated with less immune system function. In addition, most of these group have comorbidities like diabetes, high pressure, low lungs and kidney function, and other chronic diseases. Due to the substantial economic losses and the numerous infected people and deaths, research examining the features of the COVID-19 epidemic is essential to gain insight into mitigating its impact in the future and preparedness for any future epidemics. Elsevier Inc. 2022-03 2022-01-15 /pmc/articles/PMC8761036/ /pubmed/35071820 http://dx.doi.org/10.1016/j.genrep.2022.101505 Text en © 2022 Elsevier Inc. All rights reserved. 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
Tazerji, Sina Salajegheh
Shahabinejad, Fatemeh
Tokasi, Mahya
Rad, Mohammad Ali
Khan, Muhammad Sajjad
Safdar, Muhammad
Filipiak, Krzysztof J.
Szarpak, Lukasz
Dzieciatkowski, Tomasz
Jurgiel, Jan
Duarte, Phelipe Magalhães
Rahman, Md. Tanvir
Sobur, Md. Abdus
Islam, Md. Saiful
Ahmed, Adnan
Shaheen, Mohamed N.F.
Shehata, Awad A.
Gharieb, Rasha
Fawzy, Mohamed
Malik, Yashpal Singh
Jaganathasamy, Nagaraj
Rajendran, Vinodhkumar Obli
Subbaram, Kannan
Ali, P Shaik Syed
Ali, Sheeza
Rehman, Saif Ur
Ozaslan, Mehmet
Khan, Gulfaraz
Saeed, Muhammad
Younas, Umair
Imran, Safdar
Junejo, Yasmeen
Arabkarami, Parmida
Hogan, Unarose
Rodriguez-Morales, Alfonso J.
Global data analysis and risk factors associated with morbidity and mortality of COVID-19()
title Global data analysis and risk factors associated with morbidity and mortality of COVID-19()
title_full Global data analysis and risk factors associated with morbidity and mortality of COVID-19()
title_fullStr Global data analysis and risk factors associated with morbidity and mortality of COVID-19()
title_full_unstemmed Global data analysis and risk factors associated with morbidity and mortality of COVID-19()
title_short Global data analysis and risk factors associated with morbidity and mortality of COVID-19()
title_sort global data analysis and risk factors associated with morbidity and mortality of covid-19()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761036/
https://www.ncbi.nlm.nih.gov/pubmed/35071820
http://dx.doi.org/10.1016/j.genrep.2022.101505
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