Evidence map›Paper›PMID 33531384›Full record

ArticleScience (New York, N.Y.)2021

Age groups that sustain resurging COVID-19 epidemics in the United States.

Mélodie Monod, Alexandra Blenkinsop, Xiaoyue Xi, Daniel Hebert, Sivan Bershan, Simon Tietze, Marc Baguelin, Valerie C Bradley, Yu Chen, Helen Coupland and 18 more

Open access · hybridAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 3 pooled it
29.1field-weighted citation impact, top 1% 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

171 citing papers in PubMed, 3 syntheses or guidelines pooled it, 353 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Measures implemented in the school setting to contain the COVID-19 pandemicThe Cochrane database of systematic reviews · 2022
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Scaling COVID-19 rates with population size in the United States.Journal of the Royal Society, Interface · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

111 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

28 authors at 7 institutions in 5 countries.

Mélodie Monod *Department of Mathematics, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-6448-2051
Alexandra Blenkinsop *Department of Mathematics, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-2328-8671
Xiaoyue Xi *Department of Mathematics, Imperial College London, London, UK.
Daniel Hebert *Foursquare Inc., New York, NY, USA.
Sivan Bershan *Emodo, San Francisco, CA, USA.
Simon Tietze *Emodo, San Francisco, CA, USA.
Marc BaguelinMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-3867-1953
Valerie C BradleyDepartment of Statistics, University of Oxford, Oxford, UK.
Yu ChenDepartment of Mathematics, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-7528-2298
Helen CouplandMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-3581-1404
Sarah FilippiDepartment of Mathematics, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-8652-358X
Jonathan Ish-HorowiczDepartment of Mathematics, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-5386-6620
Martin McManusDepartment of Mathematics, Imperial College London, London, UK.
Thomas MellanMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-4185-9930
Axel GandyDepartment of Mathematics, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-6777-0451
Michael HutchinsonDepartment of Statistics, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-2563-917X
H Juliette T UnwinMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-9120-4003
Sabine L van ElslandMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-0775-7463
Michaela A C VollmerMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-6970-7192
Sebastian WeberNovartis Pharma AG, Basel, Switzerland.
Harrison ZhuDepartment of Mathematics, Imperial College London, London, UK.
Anne BezanconEmodo, San Francisco, CA, USA.
Neil M FergusonMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-1154-8093
Swapnil MishraMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-8759-5902
Seth FlaxmanDepartment of Mathematics, Imperial College London, London, UK. oliver.ratmann@imperial.ac.uk s.bhatt@imperial.ac.uk s.flaxman@imperial.ac.uk.ORCID https://orcid.org/0000-0002-2477-4217
Samir BhattMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK. oliver.ratmann@imperial.ac.uk s.bhatt@imperial.ac.uk s.flaxman@imperial.ac.uk.ORCID https://orcid.org/0000-0002-0891-4611
Oliver Ratmann *Department of Mathematics, Imperial College London, London, UK. oliver.ratmann@imperial.ac.uk s.bhatt@imperial.ac.uk s.flaxman@imperial.ac.uk.ORCID https://orcid.org/0000-0001-8667-4118
Imperial College COVID-19 Response Team
Imperial College London · GBNational Centre for Infectious Diseases · SGEmodo (United States) · USUniversity of Oxford · GBFour Winds Hospital · USNovartis (Switzerland) · CHUniversity of Copenhagen · DK

Funding

Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

After initial declines, in mid-2020 a resurgence in transmission of novel coronavirus disease (COVID-19) occurred in the United States and Europe. As efforts to control COVID-19 disease are reintensified, understanding the age demographics driving transmission and how these affect the loosening of interventions is crucial. We analyze aggregated, age-specific mobility trends from more than 10 million individuals in the United States and link these mechanistically to age-specific COVID-19 mortality data. We estimate that as of October 2020, individuals aged 20 to 49 are the only age groups sustaining resurgent SARS-CoV-2 transmission with reproduction numbers well above one and that at least 65 of 100 COVID-19 infections originate from individuals aged 20 to 49 in the United States. Targeting interventions-including transmission-blocking vaccines-to adults aged 20 to 49 is an important consideration in halting resurgent epidemics and preventing COVID-19-attributable deaths.

Indexed as

EpidemicsAdolescentAdultAge FactorsBasic Reproduction NumberCell PhoneChildChild, PreschoolCommunicable Disease ControlCOVID-19COVID-19 VaccinesHumansInfantMiddle AgedModels, TheoreticalPandemicsCOVID-19 Vaccines

Identifiers

PMID33531384
PMCPMC8101272
OpenAlexW3129149202

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.