Evidence map›Paper›PMID 36992656›Full record

ArticlePathogens and global health2023

Determinants of SARS-CoV-2 nasopharyngeal testing in a rural community sample susceptible of first infection: the CHRIS COVID-19 study.

Daniele Giardiello, Roberto Melotti, Giulia Barbieri, Martin Gögele, Christian X Weichenberger, Luisa Foco, Daniele Bottigliengo, Laura Barin, Rebecca Lundin, Peter P Pramstaller and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Pathogens and global health, 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
1.3field-weighted citation impact, top 23% 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, 6 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

11 authors at 2 institutions in 2 countries.

Daniele GiardielloEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-9005-9430
Roberto MelottiEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0003-4115-317X
Giulia BarbieriEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-3531-0725
Martin GögeleEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0003-4785-4348
Christian X WeichenbergerEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-2176-0274
Luisa FocoEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-6694-3322
Daniele BottigliengoEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-8802-3834
Laura BarinEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0001-8139-4686
Rebecca LundinEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-8380-4834
Peter P PramstallerEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-9831-8302
Cristian PattaroEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-4119-0109
Eurac Research · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To characterize COVID-19 epidemiology, numerous population-based studies have been undertaken to model the risk of SARS-CoV-2 infection. Less is known about what may drive the probability to undergo testing. Understanding how much testing is driven by contextual or individual conditions is important to delineate the role of individual behavior and to shape public health interventions and resource allocation. In the Val Venosta/Vinschgau district (South Tyrol, Italy), we conducted a population-representative longitudinal study on 697 individuals susceptible to first infection who completed 4,512 repeated online questionnaires at four-week intervals between September 2020 and May 2021. Mixed-effects logistic regression models were fitted to investigate associations of self-reported SARS-CoV-2 testing with individual characteristics (social, demographic, and biological) and contextual determinants. Testing was associated with month of reporting, reflecting the timing of both the pandemic intensity and public health interventions, COVID-19-related symptoms (odds ratio, OR:8.26; 95% confidence interval, CI:6.04-11.31), contacts with infected individuals within home (OR:7.47, 95%CI:3.81-14.62) or outside home (OR:9.87, 95%CI:5.78-16.85), and being retired (OR:0.50, 95%CI:0.34-0.73). Symptoms and next within- and outside-home contacts were the leading determinants of swab testing predisposition in the most acute phase of the pandemics. Testing was not associated with age, sex, education, comorbidities, or lifestyle factors. In the study area, contextual determinants reflecting the course of the pandemic were predominant compared to individual sociodemographic characteristics in explaining the SARS-CoV-2 probability of testing. Decision makers should evaluate whether the intended target groups were correctly prioritized by the testing campaign.

Indexed as

COVID-19COVID-19 TestingHumansLongitudinal StudiesRural PopulationSARS-CoV-2cooperative health research in south tyrolCOVID-19PCRSARS-CoV-2swabtesting

Identifiers

PMID36992656
PMCPMC10614704
OpenAlexW4361276544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.