COVID-19 Statistics in the Arab World by the End of October 2022: A Cross-Sectional Study

被引:4
作者
Alrasheedi, Ahmad A. [1 ]
机构
[1] Qassim Univ, Coll Med, Dept Family & Community Med, Buraydah, Saudi Arabia
关键词
vaccine; coronavirus; covid-19; case-fatality; arab;
D O I
10.7759/cureus.32670
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background The coronavirus disease 2019 (COVID-19) has affected almost all world countries, including all 22 Arab countries. However, over the last 34 months, the world has suffered from the pandemic unevenly , COVID-19 statistics are dynamic.Objectives The current study aimed to use COVID-19 data to examine COVID-19 statistics (including the number of cases/deaths/tests) in Arab countries by the end of October 2022 , compare the findings with global statistics. This study was also used to determine the extent to which statistics vary across Arab countries.Methods The primary data on COVID-19 for each Arab country were obtained from the "Worldometer" website. The data include the cumulative incidence of COVID-19 per country, the cumulative number of deaths, the total number of tests performed, the number of cases per million population, the number of deaths per million, the number of tests per million, and the total population. The case-fatality rate (CFR) was calculated (number of deaths/number of cases). In addition, the median age for each Arab country was extracted from the United Nations website. The rate of vaccination coverage (people who received two doses) was extracted from the "Our World in Data" website. COVID-19 statistics were further analyzed in Arab countries in Asia compared to those in Africa at the end of 2020, 2021, and October 2022. To compare the Arab countries to the globe, COVID-19 data for each continent were obtained. The Spearman correlation coefficient was used to determine the relationship between different variables across Arab countries. Results As of November 1, 2022, about 636 million COVID-19 cases and 6.6 million deaths had been recorded worldwide. Arab countries accounted for nearly 2.21% and 2.62% of all cases and deaths, respectively. In general, the mean deaths per million and the mean cases per million for Arab countries were lower than those of the world's countries, although Arab countries recorded a higher mean case-fatality rate. Alternatively, Arab countries in aggregate recorded fewer deaths per million specialIntscript than the world specialIntscript However, statistics across Arab countries have been inconsistent; Arab countries in Africa were less affected. Arab countries have performed approximately 359 million tests (5.29% of all tests), 93% of which were performed by Arab countries in Asia. Moreover, 54.4% of all tests were performed in the United Arab Emirates. Yemen, Somalia, Sudan, Algeria, Syria, Comoros, and Djibouti were the least affected Arab countries based on the number of deaths per million. With the exception of Comoros, these countries were among the least vaccinated in the Arab world.Conclusions In general, Arab countries have been less affected by the COVID-19 pandemic than the rest of the world. However, statistics vary across Arab countries, especially regarding the number of tests performed. Given the natural immunity acquired during the three years and the relatively good vaccine coverage in the Arab world, it is important to reconsider the definition of a suspected case and establish more specific criteria for testing.
引用
收藏
页数:11
相关论文
共 30 条
[1]   Response to COVID-19 pandemic in the UAE: A public health perspective [J].
Al Hosany, Farida ;
Ganesan, Subhashini ;
Al Memari, Shammah ;
Al Mazrouei, Shereena ;
Ahamed, Faheem ;
Koshy, Ashish ;
Zaher, Walid .
JOURNAL OF GLOBAL HEALTH, 2021, 11
[2]  
Alrasheedi A, 2022, AMJ, V62, P3917
[3]  
Alrasheedi AA, 2022, AMJ, V62, P4677
[4]  
Alwahaibi Nasar, 2021, Qatar Med J, V2021, P66, DOI 10.5339/qmj.2021.66
[5]   Evolving global and national criteria for identifying a suspected case of COVID-19 [J].
Atsawarungruangkit, Amporn ;
Yuan, Jin ;
Kodama, Takamitsu ;
Cheng, Ming-Tai ;
Mansouri, Mohammad ;
Han, Boram ;
Kongkamnerd, Jarinrat ;
Riegg, Fabian ;
Menon, Anupama ;
Moss, Steven F. .
JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2020, 48 (08)
[6]   Estimating global, regional, and national daily and cumulative infections with SARS-CoV-2 through Nov 14, 2021: a statistical analysis [J].
Barber, Ryan M. ;
Sorensen, Reed J. D. ;
Pigott, David M. ;
Bisignano, Catherine ;
Carter, Austin ;
Amlag, Joanne O. ;
Collins, James K. ;
Abbafati, Cristiana ;
Adolph, Christopher ;
Allorant, Adrien ;
Aravkin, Aleksandr Y. ;
Bang-Jensen, Bree L. ;
Castro, Emma ;
Chakrabarti, Suman ;
Cogen, Rebecca M. ;
Combs, Emily ;
Comfort, Haley ;
Cooperrider, Kimberly ;
Dai, Xiaochen ;
Daoud, Farah ;
Deen, Amanda ;
Earl, Lucas ;
Erickson, Megan ;
Ewald, Samuel B. ;
Ferrari, Alize J. ;
Flaxman, Abraham D. ;
Frostad, Joseph Jon ;
Fullman, Nancy ;
Giles, John R. ;
Guo, Gaorui ;
He, Jiawei ;
Helak, Monika ;
Hulland, Erin N. ;
Huntley, Bethany M. ;
Lazzar-Atwood, Alice ;
LeGrand, Kate E. ;
Lim, Stephen S. ;
Lindstrom, Akiaja ;
Linebarger, Emily ;
Lozano, Rafael ;
Magistro, Beatrice ;
Malta, Deborah Carvalho ;
Mansson, Johan ;
Herrera, Ana M. Mantilla ;
Mokdad, Ali H. ;
Monasta, Lorenzo ;
Naghavi, Mohsen ;
Nomura, Shuhei ;
Odell, Christopher M. ;
Olana, Latera Tesfaye .
LANCET, 2022, 399 (10344) :2351-2380
[7]   Governance and health in the Arab world [J].
Batniji, Rajaie ;
Khatib, Lina ;
Cammett, Melani ;
Sweet, Jeffrey ;
Basu, Sanjay ;
Jamal, Amaney ;
Wise, Paul ;
Giacaman, Rita .
LANCET, 2014, 383 (9914) :343-355
[8]   Mild to moderate COVID-19 illness in adult outpatients Characteristics, symptoms, and outcomes in the first 4 weeks of illness [J].
Blair, Janis E. ;
Gotimukul, Ashwini ;
Wang, Fangfang ;
Mina, Syeda A. ;
Bartels, Helen C. ;
Burns, Mark W. ;
Kole, Amy E. ;
Vikram, Holenarasipur R. ;
Gea-Banacloche, Juan C. ;
Seville, M. Teresa ;
Petty, Skye A. Buckner ;
Vikram, Avinash ;
Orenstein, Robert .
MEDICINE, 2021, 100 (24) :E26371
[9]   COVID-19 in North Korea [J].
Burki, Talha .
LANCET, 2022, 399 (10344) :2339-2339
[10]  
CDC, 2022, TEST STRAT SARS COV