Evidence map›Paper›PMID 39102402›Full record

ArticlePLoS computational biology2024

Impact of waning immunity against SARS-CoV-2 severity exacerbated by vaccine hesitancy.

Chadi M Saad-Roy, Sinead E Morris, Mike Boots, Rachel E Baker, Bryan L Lewis, Jeremy Farrar, Madhav V Marathe, Andrea L Graham, Simon A Levin, Caroline E Wagner and 2 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
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  5. Review
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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

12 authors.

Chadi M Saad-RoyMiller Institute for Basic Research in Science, University of California, Berkeley, California, United States of America.ORCID 0000-0002-2217-3071
Sinead E MorrisDepartment of Pathology and Cell Biology, Columbia University Medical Center, Columbia University, New York, New York, United States of America.ORCID 0000-0001-8626-1698
Mike BootsDepartment of Integrative Biology, University of California, Berkeley, California, United States of America.
Rachel E BakerDepartment of Epidemiology, Brown School of Public Health, Brown University, Providence, Rhode Island, United States of America.
Bryan L LewisNetwork Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, Virginia, United States of America.
Jeremy FarrarThe Wellcome Trust, London, United Kingdom.
Madhav V MaratheNetwork Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, Virginia, United States of America.
Andrea L GrahamDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
Simon A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
Caroline E WagnerDepartment of Bioengineering, McGill University, Montreal, Canada.
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
Bryan T GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.

Funding

NCEZID CDC HHS U01 CK000555
6 · The paper itself

Abstract

The SARS-CoV-2 pandemic has generated a considerable number of infections and associated morbidity and mortality across the world. Recovery from these infections, combined with the onset of large-scale vaccination, have led to rapidly-changing population-level immunological landscapes. In turn, these complexities have highlighted a number of important unknowns related to the breadth and strength of immunity following recovery or vaccination. Using simple mathematical models, we investigate the medium-term impacts of waning immunity against severe disease on immuno-epidemiological dynamics. We find that uncertainties in the duration of severity-blocking immunity (imparted by either infection or vaccination) can lead to a large range of medium-term population-level outcomes (i.e. infection characteristics and immune landscapes). Furthermore, we show that epidemiological dynamics are sensitive to the strength and duration of underlying host immune responses; this implies that determining infection levels from hospitalizations requires accurate estimates of these immune parameters. More durable vaccines both reduce these uncertainties and alleviate the burden of SARS-CoV-2 in pessimistic outcomes. However, heterogeneity in vaccine uptake drastically changes immune landscapes toward larger fractions of individuals with waned severity-blocking immunity. In particular, if hesitancy is substantial, more robust vaccines have almost no effects on population-level immuno-epidemiology, even if vaccination rates are compensatorily high among vaccine-adopters. This pessimistic scenario for vaccination heterogeneity arises because those few individuals that are vaccine-adopters are so readily re-vaccinated that the duration of vaccinal immunity has no appreciable consequences on their immune status. Furthermore, we find that this effect is heightened if vaccine-hesitants have increased transmissibility (e.g. due to riskier behavior). Overall, our results illustrate the necessity to characterize both transmission-blocking and severity-blocking immune time scales. Our findings also underline the importance of developing robust next-generation vaccines with equitable mass vaccine deployment.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2Computational BiologyHumansPandemicsSeverity of Illness IndexVaccinationVaccination HesitancyCOVID-19 Vaccines

Identifiers

PMID39102402
PMCPMC11299835

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.