Evidence map›Paper›PMID 20943682›Full record

ArticleJournal of the Royal Society, Interface2011

Targeting vaccination against novel infections: risk, age and spatial structure for pandemic influenza in Great Britain.

Matt J Keeling, Peter J White

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Asymptotic Analysis of Optimal Vaccination Policies.Bulletin of mathematical biology · 2023
    Article
  4. Article
  5. A decision support system for prioritised COVID-19 two-dosage vaccination allocation and distribution.Transportation research. Part E, Logistics and transportation review · 2022
    Article
  6. Article
  7. Article
  8. Local Characteristics Related to SARS-CoV-2 Transmissions in the Seoul Metropolitan Area, South Korea.International journal of environmental research and public health · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Reactive vaccination in the presence of disease hotspots.Proceedings. Biological sciences · 2015
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors at 2 institutions in 1 country.

Matt J KeelingMathematics Institute and School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK. m.j.keeling@warwick.ac.uk
Peter J White
Imperial College London · GBUniversity of Warwick · GB

Funding

Medical Research Council G0701256
6 · The paper itself

Abstract

The emergence of a novel strain of H1N1 influenza virus in Mexico in 2009, and its subsequent worldwide spread, has focused attention to the question of optimal deployment of mass vaccination campaigns. Here, we use three relatively simple models to address three issues of primary concern in the targeting of any vaccine. The advantages of such simple models are that the underlying assumptions and effects of individual parameters are relatively clear, and the impact of uncertainty in the parametrization can be readily assessed in the early stages of an outbreak. In particular, we examine whether targeting risk-groups, age-groups or spatial regions could be optimal in terms of reducing the predicted number of cases or severe effects; and how these targeted strategies vary as the epidemic progresses. We examine the conditions under which it is optimal to initially target vaccination towards those individuals within the population who are most at risk of severe effects of infection. Using age-structured mixing matrices, we show that targeting vaccination towards the more epidemiologically important age groups (5-14 year olds and then 15-24 year olds) leads to the greatest reduction in the epidemic growth and hence reduces the total number of cases. Finally, we consider how spatially targeting the vaccine towards regions of country worst affected could provide an advantage. We discuss how all three of these priorities change as both the speed at which vaccination can be deployed and the start of the vaccination programme is varied.

Indexed as

Communicable Disease ControlAdolescentAdultAlgorithmsChildDisease OutbreaksHumansInfluenza, HumanInfluenza VaccinesModels, StatisticalPandemicsRiskUnited KingdomInfluenza Vaccines

Identifiers

PMID20943682
PMCPMC3061093
OpenAlexW2123430267

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.