Evidence map›Paper›PMID 36962136›Full record

ArticlePLOS global public health2022

Optimal use of COVID-19 Ag-RDT screening at border crossings to prevent community transmission: A modeling analysis.

Joshua M Chevalier, Karla Therese L Sy, Sarah J Girdwood, Shaukat Khan, Heidi Albert, Amy Toporowski, Emma Hannay, Sergio Carmona, Brooke E Nichols

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

9 authors at 4 institutions in 4 countries.

Joshua M ChevalierDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-8873-6669
Karla Therese L SyDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0003-0608-9811
Sarah J GirdwoodHealth Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-8492-028X
Shaukat KhanClinton Health Access Initiative, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-7247-4190
Heidi AlbertFoundation for Innovative New Diagnostics, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-8595-4123
Amy ToporowskiFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Emma HannayFoundation for Innovative New Diagnostics, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-0464-3882
Sergio CarmonaFoundation for Innovative New Diagnostics, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-6792-4748
Brooke E NicholsDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Boston University · USFIND · CHClinton Health Access Initiative · USUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Countries around the world have implemented restrictions on mobility, especially cross-border travel to reduce or prevent SARS-CoV-2 community transmission. Rapid antigen testing (Ag-RDT), with on-site administration and rapid turnaround time may provide a valuable screening measure to ease cross-border travel while minimizing risk of local transmission. To maximize impact, we developed an optimal Ag-RDT screening algorithm for cross-border entry. Using a previously developed mathematical model, we determined the daily number of imported COVID-19 cases that would generate no more than a relative 1% increase in cases over one month for different effective reproductive numbers (Rt) and COVID-19 prevalence within the recipient country. We then developed an algorithm-for differing levels of Rt, arrivals per day, mode of travel, and SARS-CoV-2 prevalence amongst travelers-to determine the minimum proportion of people that would need Ag-RDT testing at border crossings to ensure no greater than the relative 1% community spread increase. When daily international arrivals and/or COVID-19 prevalence amongst arrivals increases, the proportion of arrivals required to test using Ag-RDT increases. At very high numbers of international arrivals/COVID-19 prevalence, Ag-RDT testing is not sufficient to prevent increased community spread, especially when recipient country prevalence and Rt are low. In these cases, Ag-RDT screening would need to be supplemented with other measures to prevent an increase in community transmission. An efficient Ag-RDT algorithm for SARS-CoV-2 testing depends strongly on the epidemic status within the recipient country, volume of travel, proportion of land and air arrivals, test sensitivity, and COVID-19 prevalence among travelers.

Identifiers

PMID36962136
PMCPMC10021421
OpenAlexW4280531923

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read51
identifiers read7
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.