Evidence map›Paper›PMID 35415012›Full record

ArticlePeerJ2022

Burden of COVID-19: a preliminary analysis in the population of Saudi Arabia.

Syed Mohammed Basheeruddin Asdaq, Syed Imam Rabbani, Mohammed Kanan Alshammari, Reem Saud Alshammari, Mehnaz Kamal, Mohd Imran, Noufah Aqeel AlShammari, May Faiz Al Twallah, Abdulmjeed Hussain Alshahrani

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 8 institutions in 1 country.

Syed Mohammed Basheeruddin AsdaqPharmacy Practice, Almaarefa University, RIYADH, Riyadh, Saudi Arabia.
Syed Imam RabbaniDepartment of Pharmacology and Toxicology, College of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Mohammed Kanan AlshammariDepartment of Pharmaceutical Care, Rafha Central Hospital, Rafha, Saudi Arabia.
Reem Saud AlshammariDepartment of Pharmaceutical Care, Maternity and Children Hospital, Rafha, Saudi Arabia.
Mehnaz KamalDepartment of Pharmaceutical Chemistry, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Mohd ImranDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Northern Border University, Rafha, Saudi Arabia.
Noufah Aqeel AlShammariSecurity Forces Hospital, Riyadh, Riyadh, Saudi Arabia.
May Faiz Al TwallahNorthern Area Armed Forces Hospital, Hafar albaten, Saudi Arabia.
Abdulmjeed Hussain AlshahraniSecurity Forces Hospital, Riyadh, Riyadh, Saudi Arabia.
Security Forces Hospital · SAAlfaisal University · SAKing Fahad Central Hospital · SAMaternity and Children's Hospital · SANorthern Area Armed Forces Hospital · SANorthern Border University · SAPrince Sattam Bin Abdulaziz University · SAQassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus infection (COVID-19) has resulted in an unprecedented number of human deaths and economic losses. Analyzing the role of disease in different groups of people is useful for determining the burden of disease. As a result, the purpose of this study was to investigate the influence of COVID-19 on the Saudi Arabian population's quality of life, with a particular emphasis on the likely fall in their life expectancy. Methods: A cross-sectional and retrospective analysis of 2,988 patients' databases was performed to assess COVID-19-induced mortality and complications in the community. The data was gathered from official websites that track the disease's impact daily between July and October 2021. On the acquired data, disability-adjusted life years (DALYs) and relative risk analysis were performed. The data was statistically analyzed using SPSS IBM 25. The Pearson's correlation test was used to examine the relationship between age and disease impact. The significance of the findings was determined by using a P value of less than 0.05. Results: The data from the study indicated that the positive test rate, infection rate, and mortality rate in the population were 1.84% [+0.11/-0.39 of 95% confidence interval (CI)], 1.54% (+0.38/-0.52 of CI), and 1.59% (+0.4/-0.7 of CI), respectively. Highest percentage of mortality was observed in Riyadh (17%), followed by Jeddah (8.7%) and Makkah (7.5%). The DALYs/100,000 inhabitants increased progressively as the age of the population increased, and the highest value was found for those over 70 years old (25.73 ± 2.09). Similarly, the risk outcome (55%) increased significantly ( Conclusion: The current study found that the COVID-19 load in Saudi Arabia was comparable to that in nations that were said to have performed well during the pandemic. DALYs increased from 40 years to 60 years, although people over 60 years had a lower life expectancy and were more susceptible to infection. After 60 years, the occurrence of numerous co-morbid illnesses may have added to the population's burden of COVID-19. Further research in this area may yield a more precise estimate of the COVID-19-induced burden on the entire population.

Indexed as

COVID-19AdultAgedCross-Sectional StudiesGlobal Burden of DiseaseHumansQuality of LifeRetrospective StudiesSaudi ArabiaBurdenCOVID-19DALYMortalityRelative riskSaudi Arabia

Identifiers

PMID35415012
PMCPMC8995037
OpenAlexW4225930675

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.