Evidence map›Paper›PMID 22618029›Full record

ArticleHealth care management science2012

Geographic prioritization of distributing pandemic influenza vaccines.

Ozgur M Araz, Alison Galvani, Lauren A Meyers

Abstract read
In one paragraph

Article in Health care management science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluating infectious disease forecasts with allocation scoring rules.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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
  9. Article
  10. A decision support system for prioritised COVID-19 two-dosage vaccination allocation and distribution.Transportation research. Part E, Logistics and transportation review · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. A multi-echelon dynamic cold chain for managing vaccine distribution.Transportation research. Part E, Logistics and transportation review · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

3 authors.

Ozgur M ArazUniversity of Nebraska Medical Center, Health Promotion, Social & Behavioral Health, College of Public Health, Omaha, NE, USA. ozgur.araz@unmc.edu
Alison Galvani
Lauren A Meyers

Funding

Impacts of Individual and Social Behavior on Influenza Dynamics and ControlU01GM087719 · NIGMS · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2009 to 2018
$6.3M
NIGMS NIH HHS U01 GM087719
6 · The paper itself

Abstract

Pandemic influenza is an international public health concern. In light of the persistent threat of H5N1 avian influenza and the recent pandemic of A/H1N1swine influenza outbreak, public health agencies around the globe are continuously revising their preparedness plans. The A/H1N1 pandemic of 2009 demonstrated that influenza activity and severity might vary considerably among age groups and locations, and the distribution of an effective influenza vaccine may be significantly delayed and staggered. Thus, pandemic influenza vaccine distribution policies should be tailored to the demographic and spatial structures of communities. Here, we introduce a bi-criteria decision-making framework for vaccine distribution policies that is based on a geospatial and demographically-structured model of pandemic influenza transmission within and between counties of Arizona in the Unites States. Based on data from the 2009-2010 H1N1 pandemic, the policy predicted to reduce overall attack rate most effectively is prioritizing counties expected to experience the latest epidemic waves (a policy that may be politically untenable). However, when we consider reductions in both the attack rate and the waiting period for those seeking vaccines, the widely adopted pro rata policy (distributing according to population size) is also predicted to be an effective strategy.

Indexed as

Influenza A Virus, H1N1 SubtypeAge FactorsDecision MakingHumansInfluenza, HumanInfluenza VaccinesModels, TheoreticalPandemicsTime FactorsUnited StatesInfluenza Vaccines

Identifiers

PMID22618029
PMCPMC4295509

What OpenQuestion holds

Textmetadata
LicenceTDM
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.