Evidence map›Paper›PMID 32958581›Full record

ArticleScience (New York, N.Y.)2020

Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years.

Chadi M Saad-Roy, Caroline E Wagner, Rachel E Baker, Sinead E Morris, Jeremy Farrar, Andrea L Graham, Simon A Levin, Michael J Mina, C Jessica E Metcalf, Bryan T Grenfell

Open access · hybridAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed
10.1field-weighted citation impact, top 2% 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

138 citing papers in PubMed, 327 citations in OpenAlex.

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  5. How Will AI Shape the Future of Pandemic Response? Early Clues From Data Analytics.Risk analysis : an official publication of the Society for Risk Analysis · 2025
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  12. The evolution of post-infection mortality.Proceedings. Biological sciences · 2024
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  15. Article
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  19. Article
  20. Article

78 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 3 countries.

Chadi M Saad-Roy *Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08540, USA.ORCID 0000-0002-2217-3071
Caroline E Wagner *Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0001-5193-2797
Rachel E BakerDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-2661-8103
Sinead E MorrisDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA.ORCID 0000-0001-8626-1698
Jeremy FarrarWellcome Trust, London, UK.ORCID 0000-0002-2700-623X
Andrea L GrahamDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-6580-2755
Simon A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-8216-5639
Michael J MinaDepartments of Epidemiology and Immunology and Infectious Diseases, Harvard School of Public Health, Boston, MA 02115, USA.ORCID 0000-0002-0674-5762
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0003-3166-7521
Bryan T GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. grenfell@princeton.edu.ORCID 0000-0003-3227-5909
Princeton University · USColumbia University Irving Medical Center · USMassachusetts Department of Public Health · USNational Institutes of Health · USWellcome Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The future trajectory of the coronavirus disease 2019 (COVID-19) pandemic hinges on the dynamics of adaptive immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); however, salient features of the immune response elicited by natural infection or vaccination are still uncertain. We use simple epidemiological models to explore estimates for the magnitude and timing of future COVID-19 cases, given different assumptions regarding the protective efficacy and duration of the adaptive immune response to SARS-CoV-2, as well as its interaction with vaccines and nonpharmaceutical interventions. We find that variations in the immune response to primary SARS-CoV-2 infections and a potential vaccine can lead to markedly different immune landscapes and burdens of critically severe cases, ranging from sustained epidemics to near elimination. Our findings illustrate likely complexities in future COVID-19 dynamics and highlight the importance of immunological characterization beyond the measurement of active infections for adequately projecting the immune landscape generated by SARS-CoV-2 infections.

Indexed as

Adaptive ImmunityVaccinationAntibodies, ViralAntibody-Dependent EnhancementBetacoronavirusCommunicable Disease ControlCoronavirus InfectionsCOVID-19COVID-19 VaccinesCross ReactionsDisease SusceptibilityForecastingHumansImmunity, InnateModels, TheoreticalPandemicsAntibodies, ViralCOVID-19 VaccinesViral Vaccines

Identifiers

PMID32958581
PMCPMC7857410
OpenAlexW3087402740

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.