Evidence map›Paper›PMID 37296143›Full record

ArticleScientific reports2023

Real time monitoring of COVID-19 intervention effectiveness through contact tracing data.

Graham C Gibson, Spencer Woody, Emily James, Minda Weldon, Spencer J Fox, Lauren Ancel Meyers, Darlene Bhavnani

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
1.8field-weighted citation impact, top 12% 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, 4 citations in OpenAlex.

  1. Article
  2. A novel approach to designing viral precision vaccines applied to SARS-CoV-2.Frontiers in cellular and infection microbiology · 2024
    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

7 authors at 2 institutions in 1 country.

Graham C GibsonLos Alamos National Laboratory, Los Alamos, USA. gcgibson@lanl.gov.
Spencer WoodyDepartment of Integrative Biology, University of Texas at Austin, Austin, USA.
Emily JamesDepartment of Population Health, Dell Medical School, University of Texas at Austin, Austin, USA.
Minda WeldonEpidemiology and Disease Surveillance Unit, Austin Public Health, Austin, USA.
Spencer J FoxDepartment of Integrative Biology, University of Texas at Austin, Austin, USA.
Lauren Ancel MeyersDepartment of Integrative Biology, University of Texas at Austin, Austin, USA.
Darlene BhavnaniDepartment of Population Health, Dell Medical School, University of Texas at Austin, Austin, USA.
The University of Texas at Austin · USLos Alamos National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Communities worldwide have used vaccines and facemasks to mitigate the COVID-19 pandemic. When an individual opts to vaccinate or wear a mask, they may lower their own risk of becoming infected as well as the risk that they pose to others while infected. The first benefit-reducing susceptibility-has been established across multiple studies, while the second-reducing infectivity-is less well understood. Using a new statistical method, we estimate the efficacy of vaccines and facemasks at reducing both types of risks from contact tracing data collected in an urban setting. We find that vaccination reduced the risk of onward transmission by 40.7% [95% CI 25.8-53.2%] during the Delta wave and 31.0% [95% CI 19.4-40.9%] during the Omicron wave and that mask wearing reduced the risk of infection by 64.2% [95% CI 5.8-77.3%] during the Omicron wave. By harnessing commonly-collected contact tracing data, the approach can broadly provide timely and actionable estimates of intervention efficacy against a rapidly evolving pathogen.

Indexed as

COVID-19Contact TracingHumansPandemicsVaccination

Identifiers

PMID37296143
PMCPMC10250864
OpenAlexW4380082810

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.