Evidence map›Paper›PMID 23555207›Full record

ArticlePLoS computational biology2013

Optimal vaccine allocation for the early mitigation of pandemic influenza.

Laura Matrajt, M Elizabeth Halloran, Ira M Longini

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. The use and reporting of airline passenger data for infectious disease modelling: a systematic review.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia.Transportation research. Part E, Logistics and transportation review · 2022
    Article
  8. Vaccine and inclusion.Journal of public economic theory · 2022
    Article
  9. Fair and diverse allocation of scarce resources.Socio-economic planning sciences · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Dynamic prioritization of COVID-19 vaccines when social distancing is limited for essential workers.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. 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

3 authors at 3 institutions in 1 country.

Laura MatrajtDepartment of Applied Mathematics, University of Washington, Seattle, Washington, United States of America. laurama@uw.edu
M Elizabeth Halloran
Ira M Longini
University of Florida · USUniversity of Washington · USUniversity of Washington Applied Physics Laboratory · US

Funding

Containing Bioterrorist and Emerging Infectious DiseasesU01GM070749 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH, LONGINI, IRA M · 2004 to 2013
$8.3M
Methods for Evaluating Vaccine EfficacyR37AI032042 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH · 2010 to 2019
$5.1M
NIAID NIH HHS R37 AI032042NIAID NIH HHS R37-AI32042NIGMS NIH HHS U01 GM070749NIGMS NIH HHS U01-GM070749
6 · The paper itself

Abstract

With new cases of avian influenza H5N1 (H5N1AV) arising frequently, the threat of a new influenza pandemic remains a challenge for public health. Several vaccines have been developed specifically targeting H5N1AV, but their production is limited and only a few million doses are readily available. Because there is an important time lag between the emergence of new pandemic strain and the development and distribution of a vaccine, shortage of vaccine is very likely at the beginning of a pandemic. We coupled a mathematical model with a genetic algorithm to optimally and dynamically distribute vaccine in a network of cities, connected by the airline transportation network. By minimizing the illness attack rate (i.e., the percentage of people in the population who become infected and ill), we focus on optimizing vaccine allocation in a network of 16 cities in Southeast Asia when only a few million doses are available. In our base case, we assume the vaccine is well-matched and vaccination occurs 5 to 10 days after the beginning of the epidemic. The effectiveness of all the vaccination strategies drops off as the timing is delayed or the vaccine is less well-matched. Under the best assumptions, optimal vaccination strategies substantially reduced the illness attack rate, with a maximal reduction in the attack rate of 85%. Furthermore, our results suggest that cooperative strategies where the resources are optimally distributed among the cities perform much better than the strategies where the vaccine is equally distributed among the network, yielding an illness attack rate 17% lower. We show that it is possible to significantly mitigate a more global epidemic with limited quantities of vaccine, provided that the vaccination campaign is extremely fast and it occurs within the first weeks of transmission.

Indexed as

Models, BiologicalAsia, SoutheasternCluster AnalysisComputational BiologyHumansInfluenza A Virus, H5N1 SubtypeInfluenza, HumanInfluenza VaccinesPandemicsInfluenza Vaccines

Identifiers

PMID23555207
PMCPMC3605056
OpenAlexW2000923919

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.