Evidence map›Paper›PMID 40575581›Full record

ArticleTexas public health journal2022

Incorporating medical students into an interdisciplinary, population-based study of SARS-CoV-2 infection in asymptomatic individuals in South Texas.

Anika K Kurian, Susanne Schmidt, Martin Goros, Jonathan A Gelfond, Golareh Agha, Ryan Wealther, Robert G DelBello, Claudina Tami, Barbara S Taylor

Abstract read
In one paragraph

Article in Texas public health journal, 2022. 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

9 authors.

Anika K KurianSan Antonio Metropolitan Health District, San Antonio, TX.
Susanne SchmidtDepartment of Population Health Sciences, UT Health San Antonio, San Antonio, TX.
Martin GorosDepartment of Population Health Sciences, UT Health San Antonio, San Antonio, TX.
Jonathan A GelfondDepartment of Population Health Sciences, UT Health San Antonio, San Antonio, TX.
Golareh AghaSan Antonio Metropolitan Health District, San Antonio, TX.
Ryan WealtherAurora Health Care, Milwaukee, Wisconsin.
Robert G DelBelloJoe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX.
Claudina TamiDepartment of Obstetrics and Gynecology, Johns Hopkins University School of Medicine, Baltimore, MD.
Barbara S TaylorDivision of Infectious Diseases, Department of Medicine, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX.

Funding

Institute for Integration of Medicine & Science: A Partnership to Improve HealthUM1TR004538 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ROBERT A CLARK, Kenneth M Hargreaves · 2023 to 2026
$22.3M
Institute for Integration of Medicine & Science: A Partnership to Improve HealthUL1TR002645 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CLARK, ROBERT A, HARGREAVES, KENNETH M · 2018 to 2022
$20.4M
NCATS NIH HHS UL1 TR002645NCATS NIH HHS UM1 TR004538
6 · The paper itself

Abstract

Background: Asymptomatic and pre-symptomatic infections may play a significant role in the spread of COVID-19 but determining prevalence of these infections in the general population is labor intensive. Purpose: This approach describes an innovative surveillance strategy using teams of medical students and emergency medical technicians (EMTs). Medical students represent a highly trained but underutilized workforce in the pandemic response. Methods: A household-level sampling frame generated a population-weighted representative sample of households in San Antonio, Texas. Households were included if an English or Spanish-speaking adult (≥18yo) answered the door and was willing to participate; excluded if household members had past or present COVID-19 symptoms or close contact with confirmed COVID-19 infection. Interdisciplinary teams of medical or medical/public health dual degree students paired with EMTs conducted a survey and instructed participants on how to self-administer nasal swabs among 502 community members without symptoms of COVID-19 from June 1-6, 2020, weeks prior to a community case surge. Results: Of 502 participants, median age was 52 years and average household size was 3.1. Only 40% reported no medical risk factors for COVID-19 complications. Hypertension (23.6%) and diabetes (13.4%) were the most common pre-existing medical conditions; 29% of respondents reporting feeling at risk for SARS-CoV-2 during daily outside-of-the-home activities. All 502 SARS-CoV-2 PCR tests were negative, suggesting a prevalence range of 0%-1.2%. Public Health Significance: It is unlikely that pre-symptomatic and asymptomatic COVID-19 infections in households without existing COVID-19 infections played a major role in the propagation of the epidemic at this point in time. While community-wide testing of individuals without symptoms of COVID-19 may be low yield in the context of low prevalence of symptomatic cases of COVID-19, medical students provided valuable support for community-based surveillance at a time when public health infrastructure was severely taxed.

Identifiers

PMID40575581
PMCPMC12201946

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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.