Evidence map›Paper›PMID 35189135›Full record

ArticleJournal of theoretical biology2022

Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold.

M Gabriela M Gomes, Marcelo U Ferreira, Rodrigo M Corder, Jessica G King, Caetano Souto-Maior, Carlos Penha-Gonçalves, Guilherme Gonçalves, Maria Chikina, Wesley Pegden, Ricardo Aguas

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 4 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

149 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. High seroprevalence for SARS-CoV-2 infection in South America, but still not enough for herd immunity!International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Pooled it
  4. Key questions for modelling COVID-19 exit strategies.Proceedings. Biological sciences · 2020
    Pooled it
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  11. Host heterogeneity and unpredictability in parasite outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. Strength and weakness of disease-induced herd immunity in networks.Proceedings of the National Academy of Sciences of the United States of America · 2025
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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

M Gabriela M GomesDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK; Centro de Matemática e Aplicações, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal.
Marcelo U FerreiraInstitute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil; Global Health and Tropical Medicine, Institute of Hygiene and Tropical Medicine, Nova University of Lisbon, Lisbon, Portugal.
Rodrigo M CorderInstitute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Jessica G KingInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
Caetano Souto-MaiorLaboratory of Systems Genetics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Carlos Penha-GonçalvesInstituto Gulbenkian de Ciência, Oeiras, Portugal.
Guilherme GonçalvesUnidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal.
Maria ChikinaDepartment of Computational and Systems Biology, University of Pittsburgh, Pittburgh, PA, USA.
Wesley PegdenDepartment of Mathematical Sciences, Carnegie Mellon University, Pittburgh, PA, USA.
Ricardo AguasCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individual variation in susceptibility and exposure is subject to selection by natural infection, accelerating the acquisition of immunity, and reducing herd immunity thresholds and epidemic final sizes. This is a manifestation of a wider population phenomenon known as "frailty variation". Despite theoretical understanding, public health policies continue to be guided by mathematical models that leave out considerable variation and as a result inflate projected disease burdens and overestimate the impact of interventions. Here we focus on trajectories of the coronavirus disease (COVID-19) pandemic in England and Scotland until November 2021. We fit models to series of daily deaths and infer relevant epidemiological parameters, including coefficients of variation and effects of non-pharmaceutical interventions which we find in agreement with independent empirical estimates based on contact surveys. Our estimates are robust to whether the analysed data series encompass one or two pandemic waves and enable projections compatible with subsequent dynamics. We conclude that vaccination programmes may have contributed modestly to the acquisition of herd immunity in populations with high levels of pre-existing naturally acquired immunity, while being crucial to protect vulnerable individuals from severe outcomes as the virus becomes endemic.

Indexed as

COVID-19SARS-CoV-2HumansImmunity, HerdPandemicsVaccinationCOVID-19Epidemic modelFrailty variationHerd immunity thresholdIndividual variationSelection within cohorts

Identifiers

PMID35189135
PMCPMC8855661

What OpenQuestion holds

Textmetadata
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.