Evidence map›Paper›PMID 22537993›Full record

ArticleVaccine2012

How influenza vaccination policy may affect vaccine logistics.

Tina-Marie Assi, Korngamon Rookkapan, Jayant Rajgopal, Vorasith Sornsrivichai, Shawn T Brown, Joel S Welling, Bryan A Norman, Diana L Connor, Sheng-I Chen, Rachel B Slayton and 4 more

Abstract read
In one paragraph

Article in Vaccine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

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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

14 authors at 3 institutions in 2 countries.

Tina-Marie AssiUniversity of Pittsburgh, Pittsburgh, PA 15213, USA.
Korngamon Rookkapan
Jayant Rajgopal
Vorasith Sornsrivichai
Shawn T Brown
Joel S Welling
Bryan A Norman
Diana L Connor
Sheng-I Chen
Rachel B Slayton
Yongjua Laosiritaworn
Angela R Wateska
Stephen R Wisniewski
Bruce Y Lee
University of Pittsburgh · USPittsburgh Supercomputing Center · USPrince of Songkla University · TH

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAKOSKI, JOAN M · 2009 to 2018
$16.7M
NIGMS NIH HHS 1U54GM088491-0109NIGMS NIH HHS U54 GM088491
6 · The paper itself

Abstract

backgroundWhen policymakers make decision about the target populations and timing of influenza vaccination, they may not consider the impact on the vaccine supply chains, which may in turn affect vaccine availability. PURPOSE: Our goal is to explore the effects on the Thailand vaccine supply chain of introducing influenza vaccines and varying the target populations and immunization time-frames.

methodsWe Utilized our custom-designed software HERMES (Highly Extensible Resource for Modeling Supply Chains), we developed a detailed, computational discrete-event simulation model of the Thailand's National Immunization Program (NIP) supply chain in Trang Province, Thailand. A suite of experiments simulated introducing influenza vaccines for different target populations and over different time-frames prior to and during the annual influenza season.

resultsIntroducing influenza vaccines creates bottlenecks that reduce the availability of both influenza vaccines as well as the other NIP vaccines, with provincial to district transport capacity being the primary constraint. Even covering only 25% of the Advisory Committee on Immunization Practice-recommended population while administering the vaccine over six months hinders overall vaccine availability so that only 62% of arriving patients can receive vaccines. Increasing the target population from 25% to 100% progressively worsens these bottlenecks, while increasing influenza vaccination time-frame from 1 to 6 months decreases these bottlenecks.

conclusionSince the choice of target populations for influenza vaccination and the time-frame to deliver this vaccine can substantially affect the flow of all vaccines, policy-makers may want to consider supply chain effects when choosing target populations for a vaccine.

Indexed as

Health PolicyHumansImmunization ProgramsInfluenza, HumanInfluenza VaccinesModels, TheoreticalPopulation DensitySoftwareThailandTime FactorsInfluenza Vaccines

Identifiers

PMID22537993
PMCPMC3592980
OpenAlexW1963823006

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.