Evidence map›Paper›PMID 35242213›Full record

ArticleComputational and mathematical methods in medicine2022

Epidemiological Features of COVID-19 in Makkah City: A Retrospective Data Analysis.

Atif Asghar, Majid Bamaga, Asim Khogeer, Ibrahim Abd El-Rahim, Bassam Mashat, Hamza Assaggaf, Omar Ahmed

RetractedAbstract readMulticenter StudyRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Atif AsgharDepartment of Environmental and Health Research, The Custodian of The Two Holy Mosques Institute of Hajj and Umrah Research, Umm Al-Qura University, P.O. Box: 6287, Makkah, Saudi Arabia.
Majid BamagaDepartment of Environmental and Health Research, The Custodian of The Two Holy Mosques Institute of Hajj and Umrah Research, Umm Al-Qura University, P.O. Box: 6287, Makkah, Saudi Arabia.
Asim KhogeerPlan and Research Department, General Directorate of Health Affairs Makkah Region, MOH, Saudi Arabia.ORCID https://orcid.org/0000-0002-6508-7747
Ibrahim Abd El-RahimDepartment of Environmental and Health Research, The Custodian of The Two Holy Mosques Institute of Hajj and Umrah Research, Umm Al-Qura University, P.O. Box: 6287, Makkah, Saudi Arabia.
Bassam MashatDepartment of Environmental and Health Research, The Custodian of The Two Holy Mosques Institute of Hajj and Umrah Research, Umm Al-Qura University, P.O. Box: 6287, Makkah, Saudi Arabia.
Hamza AssaggafDepartment of Laboratory Medicine, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah 24381, Saudi Arabia.ORCID https://orcid.org/0000-0001-5563-9491
Omar AhmedDepartment of Environmental and Health Research, The Custodian of The Two Holy Mosques Institute of Hajj and Umrah Research, Umm Al-Qura University, P.O. Box: 6287, Makkah, Saudi Arabia.ORCID https://orcid.org/0000-0002-0492-5612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is continuing to circulate and change, affecting billions of people worldwide and leading to increased mortality rates, especially in the Holy City of Makkah, Kingdom of Saudi Arabia (KSA). This study was aimed at investigating the epidemiological features of COVID-19 in Makkah City, KSA.

methodsA retrospective analysis was conducted to investigate the prevalence of COVID-19 and the association between the severity and mortality of COVID-19 with demographic factors and comorbidities.

resultsAmong 4,742 COVID-19 patients, the incidence rate observed in males was 66.7%, and 69.7% were from Al-Noor Specialized Hospital. The highest incidence rate (25.2%) was found in the age group > 60 years old, followed by the age group 51-60 years (21.8%). Furthermore, the highest frequency was observed in patients from Saudi Arabia (36.8%), followed by patients from Myanmar (14.7%) and Bangladesh (9.4%). The overall frequency of COVID-19 severity and death was 20.3% and 11.6%, respectively. Body mass index analysis showed that 1% of the patients were underweight, while 9.2% were overweight and 4.4% were obese. In addition, 9.6% had diabetes, 6.9% had hypertension, 1.1% had heart disease, and 2.2% had other chronic diseases.

conclusionThe study concluded that the overall percentages of severe COVID-19 (intensive care unit) cases and deaths in Makkah City, KSA, were 20.3% and 11.6%, respectively, and there was a higher incidence in male patients. The severity of infection was shown to have a strong significant correlation with different chronic diseases, nationality, body mass index, death rate (mortality), heart disease, and length of hospital stay (

Indexed as

PandemicsSARS-CoV-2AdolescentAdultAgedAged, 80 and overCitiesComputational BiologyCOVID-19Data AnalysisFemaleHumansIncidenceMaleMiddle AgedPrevalence

Identifiers

PMID35242213
PMCPMC8886693

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Registered trials

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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.