Evidence map›Paper›PMID 34026715›Full record

ArticleFrontiers in public health

COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population.

Hamda Abdulla A/Qotba, Ahmed Sameer Al Nuaimi, Hanan Al Mujalli, Abduljaleel Abdullatif Zainel, Hanan Khudadad, Tamara Marji, Shajitha Thekke Veettil, Mohamed Ahmed Syed

Abstract read
In one paragraph

Article in Frontiers in public health. 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
–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

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

8 authors.

Hamda Abdulla A/QotbaDepartment of Clinical Research, Primary Health Care Corporation, Doha, Qatar.
Ahmed Sameer Al NuaimiDepartment of Clinical Research, Primary Health Care Corporation, Doha, Qatar.
Hanan Al MujalliDirectorate of Clinical Affairs, Primary Health Care Corporation, Doha, Qatar.
Abduljaleel Abdullatif ZainelDepartment of Clinical Research, Primary Health Care Corporation, Doha, Qatar.
Hanan KhudadadDepartment of Clinical Research, Primary Health Care Corporation, Doha, Qatar.
Tamara MarjiDepartment of Clinical Research, Primary Health Care Corporation, Doha, Qatar.
Shajitha Thekke VeettilDepartment of Clinical Research, Primary Health Care Corporation, Doha, Qatar.
Mohamed Ahmed SyedDepartment of Clinical Research, Primary Health Care Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV2 a new emerging Corona Virus Disease in humans, which called for containment measures by many countries. The current paper aims to discuss the impact of two different sampling methodologies when executing a drive through COVID-19 survey on the quality of estimated disease burden measures. Secondary data analysis of a pilot cross-sectional survey targeting Qatar's primary health care registered population was done. Two groups with different sampling methods were compared for estimating COVID-19 point prevalence using molecular testing for nasopharyngeal swabs. The first group is a stratified random sample non-proportional to size (

Indexed as

COVID-19Cross-Sectional StudiesHumansPrimary Health CareQatarRNA, ViralSARS-CoV-2RNA, ViralCOVID-19primary health carequalitysampling methodssurveillance

Identifiers

PMID34026715
PMCPMC8138580

What OpenQuestion holds

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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.