Evidence map›Paper›PMID 34862373›Full record

ArticleNature communications2021

Modeling serological testing to inform relaxation of social distancing for COVID-19 control.

Alicia N M Kraay, Kristin N Nelson, Conan Y Zhao, David Demory, Joshua S Weitz, Benjamin A Lopman

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Optimal Adaptive Testing for Epidemic Control: Combining Molecular and Serology Tests.Automatica : the journal of IFAC, the International Federation of Automatic Control · 2024
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  15. Diagnostic performances and thresholds: The key to harmonization in serological SARS-CoV-2 assays?Clinica chimica acta; international journal of clinical chemistry · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alicia N M Kraay *Rollins School of Public Health, Emory University, Atlanta, GA, USA. amullis@emory.edu.ORCID 0000-0002-7042-7048
Kristin N Nelson *Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Conan Y ZhaoSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
David DemorySchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Joshua S Weitz *School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-3433-8312
Benjamin A Lopman *Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0002-9238-0068

Funding

Comprehensive Profiling of Social Mixing Patterns in Resource Poor CountriesR01HD097175 · NICHD · EMORY UNIVERSITY · PI LOPMAN, BENJAMIN A, OMER, SAAD B. · 2019 to 2023
$2.6M
Preparing for the SARS-CoV2 vaccine: Modeling of transmission pathways, viral evolution and vaccination strategiesR01GM124280 · NIGMS · EMORY UNIVERSITY · PI LOPMAN, BENJAMIN A · 2018 to 2022
$2.2M
NICHD NIH HHS R01 HD097175NIGMS NIH HHS R01 GM124280
6 · The paper itself

Abstract

Serological testing remains a passive component of the public health response to the COVID-19 pandemic. Using a transmission model, we examine how serological testing could have enabled seropositive individuals to increase their relative levels of social interaction while offsetting transmission risks. We simulate widespread serological testing in New York City, South Florida, and Washington Puget Sound and assume seropositive individuals partially restore their social contacts. Compared to no intervention, our model suggests that widespread serological testing starting in late 2020 would have averted approximately 3300 deaths in New York City, 1400 deaths in South Florida and 11,000 deaths in Washington State by June 2021. In all sites, serological testing blunted subsequent waves of transmission. Findings demonstrate the potential benefit of widespread serological testing, had it been implemented in the pre-vaccine era, and remain relevant now amid the potential for emergence of new variants.

Indexed as

Epidemiological ModelsPhysical DistancingComputer SimulationCOVID-19COVID-19 Serological TestingFloridaHumansNew York CityPandemicsWashington

Identifiers

PMID34862373
PMCPMC8642547

What OpenQuestion holds

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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.