Evidence map›Paper›PMID 37274302›Full record

ReviewBulletin of the National Research Centre2023

Exploring interrelationships of COVID-19 dimensions in Saudi Arabia: a systematic review.

Hamad Mansur Aldossari

Open access · diamondAbstract readReview
In one paragraph

Review in Bulletin of the National Research Centre, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

1 author at 1 institution in 1 country.

Hamad Mansur AldossariGeography and Geographical Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.ORCID 0000-0002-5174-8700
Imam Mohammad ibn Saud Islamic University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 affected the world threatening medical, social, economic and community dimensions. Along with the other countries of the world, Saudi Arabia also witnessed critical emergencies leading to serious disaster due mainly to the overcrowding at certain urban residential localities. Nevertheless, the situation handled meticulously not only with measures and combating strategies but also with documentations and researches to build sustainable confrontation systems and lateral programs. Main body of abstract: This attempt is a consolidation of the academic efforts on COVID-19 in the country aiming to contribute to the knowledge base aiding to future planning on preparedness. An online survey of published academic research from peer reviewed journals were carried out during August-December 2022, using COVID-19 in Saudi Arabia as search criteria. Many areas of concern are assessed in the context which are classified into spread and burden, patient statistics, symptoms and other clinical dimensions, vaccinations and vaccine acceptance/hesitance, psychosocial impact, impact on education, impact on health staff, impact on migration, impact on nutrition, and control measures adopted. Short conclusions: A consolidation of these research findings explains the scientific academic community alertness in raising up to the emergency pandemic situation, which facilitated strategy and policy formulations by the Government ministries and other governing bodies. These researches are linked to stagewise programmatic efforts to curtail the epidemic as a mode of accomplishments.

Indexed as

Awarenesse-LearningNutritionPsychological impactVaccine hesitancy

Identifiers

PMID37274302
PMCPMC10215055
OpenAlexW4378473139

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.