Evidence map›Paper›PMID 38667531›Full record

ArticleDiseases (Basel, Switzerland)2024

A Framework for Assessing the Impact of Outbreak Response Immunization Programs.

Dominic Delport, Ben Sanderson, Rachel Sacks-Davis, Stefanie Vaccher, Milena Dalton, Rowan Martin-Hughes, Tewodaj Mengistu, Dan Hogan, Romesh Abeysuriya, Nick Scott

Open access · goldAbstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 6 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

10 authors at 3 institutions in 2 countries.

Dominic DelportBurnet Institute, Melbourne, VIC 3004, Australia.
Ben SandersonBurnet Institute, Melbourne, VIC 3004, Australia.
Rachel Sacks-DavisBurnet Institute, Melbourne, VIC 3004, Australia.
Stefanie VaccherBurnet Institute, Melbourne, VIC 3004, Australia.
Milena DaltonBurnet Institute, Melbourne, VIC 3004, Australia.
Rowan Martin-HughesBurnet Institute, Melbourne, VIC 3004, Australia.
Tewodaj MengistuGavi, The Vaccine Alliance, 1218 Geneva, Switzerland.
Dan HoganGavi, The Vaccine Alliance, 1218 Geneva, Switzerland.
Romesh AbeysuriyaBurnet Institute, Melbourne, VIC 3004, Australia.
Nick ScottBurnet Institute, Melbourne, VIC 3004, Australia.
Burnet Institute · AUMonash University · AUGavi · CH

Funding

Gavi N/A
6 · The paper itself

Abstract

The impact of outbreak response immunization (ORI) can be estimated by comparing observed outcomes to modelled counterfactual scenarios without ORI, but the most appropriate metrics depend on stakeholder needs and data availability. This study developed a framework for using mathematical models to assess the impact of ORI for vaccine-preventable diseases. Framework development involved (1) the assessment of impact metrics based on stakeholder interviews and literature reviews determining data availability and capacity to capture as model outcomes; (2) mapping investment in ORI elements to model parameters to define scenarios; (3) developing a system for engaging stakeholders and formulating model questions, performing analyses, and interpreting results; and (4) example applications for different settings and pathogens. The metrics identified as most useful were health impacts, economic impacts, and the risk of severe outbreaks. Scenario categories included investment in the response scale, response speed, and vaccine targeting. The framework defines four phases: (1) problem framing and data sourcing (identification of stakeholder needs, metrics, and scenarios); (2) model choice; (3) model implementation; and (4) interpretation and communication. The use of the framework is demonstrated by application to two outbreaks, measles in Papua New Guinea and Ebola in the Democratic Republic of the Congo. The framework is a systematic way to engage with stakeholders and ensure that an analysis is fit for purpose, makes the best use of available data, and uses suitable modelling methodology.

Indexed as

Ebolaeconomicfull value of vaccine assessmentimpactinfectious diseasesmeaslesmodellingoutbreak response immunizationvaccine preventable diseasesvalue

Identifiers

PMID38667531
PMCPMC11048879
OpenAlexW4393949102

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.