Evidence map›Paper›PMID 38156393›Full record

ArticleImmunity, inflammation and disease2023

Demographic and travel characteristics and self-reported predeparture SARS-CoV-2 testing behavior in air passengers entering the United States from foreign destinations from July to September 2021.

Anthony Panasci, Shannon Gearhart, Anna Shaum, Arthur J Simental, Colby Mitchell, Dionne Mitcham, Gilandria Williams, Nadim Shake, Clive Brown, Alida M Gertz

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Anthony PanasciCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0002-8697-4839
Shannon GearhartCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0001-9005-830X
Anna ShaumCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0001-7088-5754
Arthur J SimentalCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0003-4988-9288
Colby MitchellCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0002-9706-809X
Dionne MitchamCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0003-2937-8739
Gilandria WilliamsCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0003-2353-7372
Nadim ShakeCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0002-4741-8127
Clive BrownCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0002-3755-2824
Alida M GertzCenters for Disease Control and Prevention, Division of Global Migration and Quarantine, Atlanta, Georgia, USA.ORCID 0000-0001-8025-3793

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFrom January 2021 to June 2022, the United States Centers for Disease Control and Prevention required predeparture SARS-CoV-2 testing for all air passengers arriving into the United States from a foreign country.

methodsUsing data collected during a surveillance project, we described predeparture testing behavior among a convenience sample of international air passengers entering the United States from July to September 2021 at six US ports of entry. We analyzed pairwise relationships between self-reported test type, test timing, demographic and travel characteristics, and COVID-19 vaccination status using chi-square and Fisher's exact tests.

resultsParticipants were more likely to get a NAAT versus antigen test if they identified as non-Hispanic Asian or Pacific Islander (68.2%, n = 173), non-Hispanic Black (62.6%, n = 147), or if they preferred not to report race and ethnicity (60.8%, n = 209) when compared to those who identified as non-Hispanic White (47.1%, n = 1086, all p < 0.05). Those who identified as Hispanic or Latino (n = 671) were less likely to get a NAAT than the non-Hispanic White group (39.5% vs. 47.1%, p < 0.05). Participants arriving in the US from the Americas were less likely to get a NAAT (38.5%, n = 871) compared to those arriving from Europe (45.5%, n = 1165, p < 0.05). Participants who reported receiving their predeparture test 2 days or 3 or more days before departure were more likely to report receiving a NAAT (52.2%, n = 879, and 60.2%, n = 410, respectively) than those who reported testing within 1 day (41.4%, n = 1040, all p < 0.001) of departure. DISCUSSION: Test type was significantly associated with race and ethnicity, departure region, and test timing. Differences likely reflected regional disparities in the availability of tests at the time of the activity. Discrepancies in predeparture test timing and type worldwide may have consequences for the effectiveness and equity of travel requirements in future pandemics.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingCOVID-19 VaccinesEthnicityHumansSelf ReportUnited StatesWhiteCOVID-19 Vaccinesair travelCOVID-19 testingSARS-CoV-2

Identifiers

PMID38156393
PMCPMC10732182

What OpenQuestion holds

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LicenceCC BY
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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.