Evidence map›Paper›PMID 40726655›Full record

ArticleJournal of family medicine and primary care2025

Age and gender patterns in COVID-19: Insights from a Regional COVID-19 testing center.

Adam M Franks, Danny Holbert, Justin West, Eric Trent, John Parker, Courtney Wellman, Alperen Korkmaz, Tammy Bannister

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Adam M FranksDepartment of Family and Community Health, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.
Danny HolbertDepartment of Family and Community Health, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.
Justin WestDepartment of Family and Community Health, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.
Eric TrentDepartment of Family and Community Health, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.
John ParkerDepartment of Family and Community Health, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.
Courtney WellmanDepartment of Family and Community Health, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.
Alperen KorkmazDepartment of Family and Community Health, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.
Tammy BannisterDepartment of Family and Community Health, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Asymptomatic and targeted testing are critical for mitigating the spread of COVID-19. Understanding testing demand is crucial for efficient personnel and resource management. The study analyzes testing data to uncover factors influencing testing demand. Methods: Testing and infection data were consolidated into weekly intervals, grouped into pediatric (0-17.99 years), adult (18-64.99 years), and geriatric (65 + years) cohorts, and plotted longitudinally. Changes in overall testing, infectivity, and age-appropriate vaccination availability were analyzed between groups. Simple paired t-table Chi-square testing calculated significance ( Results: Of 69,612 COVID-19 tests, 13,447 (19.3%) were pediatric, 48,084 (69.1%) were adult, and 8,081 (11.6%) were geriatric. A high correlation was seen for pediatric vs. adult (0.73; Conclusion: Pediatric testing was more associated with times of high infectivity and did not benefit from vaccination availability. Gender differences occurred between groups, but influences did not change gender ratios within each group. Understanding factors altering COVID-19 testing patterns can inform management of resource and personnel allocation for the next public health crisis.

Indexed as

AgeCOVID-19genderSARS-CoV-2testing patterns

Identifiers

PMID40726655
PMCPMC12296372

What OpenQuestion holds

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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.