Evidence map›Paper›PMID 33430856›Full record

ArticleBMC medicine2021

Potential impact of individual exposure histories to endemic human coronaviruses on age-dependent severity of COVID-19.

Francesco Pinotti, Paul S Wikramaratna, Uri Obolski, Robert S Paton, Daniel S C Damineli, Luiz C J Alcantara, Marta Giovanetti, Sunetra Gupta, José Lourenço

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
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  4. Review
  5. Natural selection of immune and metabolic genes associated with health in two lowland Bolivian populations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
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  9. How immunity from and interaction with seasonal coronaviruses can shape SARS-CoV-2 epidemiology.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Article
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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 3 countries.

Francesco PinottiDepartment of Zoology, University of Oxford, Oxford, UK. francesco.pinotti@zoo.ox.ac.uk.ORCID 0000-0003-1953-2106
Paul S WikramaratnaIndependent Consultant, London, England.
Uri ObolskiSchool of Public Health, Tel Aviv University, Tel Aviv, Israel.
Robert S PatonDepartment of Zoology, University of Oxford, Oxford, UK.
Daniel S C DamineliDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Luiz C J AlcantaraLaboratório de Genética Celular e Molecular, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Marta GiovanettiLaboratório de Genética Celular e Molecular, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Sunetra GuptaDepartment of Zoology, University of Oxford, Oxford, UK.
José LourençoDepartment of Zoology, University of Oxford, Oxford, UK.
University of Oxford · GBUniversidade Federal de Minas Gerais · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRTel Aviv University · IL

Funding

European Research Council 812816Pan American Health Organization SCON2019-00572São Paulo Research Foundation 19/23343-7São Paulo Research Foundation 2020/06160-3UKRI GCRF One Health Poultry Hub BB/S011269/1
6 · The paper itself

Abstract

backgroundCross-reactivity to SARS-CoV-2 from exposure to endemic human coronaviruses (eHCoV) is gaining increasing attention as a possible driver of both protection against infection and COVID-19 severity. Here we explore the potential role of cross-reactivity induced by eHCoVs on age-specific COVID-19 severity in a mathematical model of eHCoV and SARS-CoV-2 transmission.

methodsWe use an individual-based model, calibrated to prior knowledge of eHCoV dynamics, to fully track individual histories of exposure to eHCoVs. We also model the emergent dynamics of SARS-CoV-2 and the risk of hospitalisation upon infection.

resultsWe hypothesise that primary exposure with any eHCoV confers temporary cross-protection against severe SARS-CoV-2 infection, while life-long re-exposure to the same eHCoV diminishes cross-protection, and increases the potential for disease severity. We show numerically that our proposed mechanism can explain age patterns of COVID-19 hospitalisation in EU/EEA countries and the UK. We further show that some of the observed variation in health care capacity and testing efforts is compatible with country-specific differences in hospitalisation rates under this model.

conclusionsThis study provides a "proof of possibility" for certain biological and epidemiological mechanisms that could potentially drive COVID-19-related variation across age groups. Our findings call for further research on the role of cross-reactivity to eHCoVs and highlight data interpretation challenges arising from health care capacity and SARS-CoV-2 testing.

Indexed as

Coronavirus InfectionsCOVID-19Age FactorsCoronavirusCross ProtectionCross ReactionsEndemic DiseasesHospitalizationHumansImmunity, HeterologousPatient-Specific ModelingSARS-CoV-2Severity of Illness IndexCOVID-19Cross-reactivityEndemic coronavirusesImmunopathologyIndividual-based modelInfectious disease dynamicsMathematical modelSARS-CoV-2

Identifiers

PMID33430856
PMCPMC7801230
OpenAlexW3119340023

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.