Evidence map›Paper›PMID 41176964›Full record

ArticleVaccine2025

Report from the World Health Organization's Immunization and Vaccines-related Implementation Research Advisory Committee (IVIR-AC) meeting, virtual gathering, 1-5 September 2025.

Philipp Lambach, Sheetal Silal, Alyssa N Sbarra, Mitsuki Koh, Rakesh Aggarwal, Habib Hasan Farooqui, Stefan Flasche, Alexandra B Hogan, Sun-Young Kim, Kathy Leung and 4 more

Erratum issuedAbstract readConference Proceedings
PubMed Full text at PMC Publisher
In one paragraph

Article in Vaccine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Philipp LambachImmunizations, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
Sheetal SilalModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; Centre for Global Health, Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom.
Alyssa N SbarraJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. Electronic address: asbarra1@jhu.edu.
Mitsuki KohImmunizations, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
Rakesh AggarwalSanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.
Habib Hasan FarooquiModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; College of Medicine, QU Health, Qatar University, Qatar.
Stefan FlascheModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; Centre for Global Health, Charite, Berlin, Germany.
Alexandra B HoganModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; School of Population Health, Faculty of Medicine and Health, UNSW, Sydney, Australia.
Sun-Young KimModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; Seoul National University, Seoul, South Korea.
Kathy LeungModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; School of Public Health, The University of Hong Kong, Hong Kong, China.
William J MossModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Allison PortnoyModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; Department of Global Health, Boston University School of Public Health, Boston, United States; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, United States.
Meru SheelModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Sydney Infectious Diseases Institute, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Xuan-Yi WangModelling and Simulation Hub, Africa, University of Cape Town, Cape Town, South Africa; Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Serving as the World Health Organization's (WHO) key advisory body for independently reviewing research that assesses the impact and value of vaccines, particularly using transmission and economic modeling analyses, the Immunization and Vaccines-related Implementation Research Advisory Committee (IVIR-AC) gathered for its second semi-annual meeting of 2025 from 1 to 5 September and complemented by ad hoc sessions on 8-10 July. IVIR-AC provided feedback and recommendations across eleven key sessions. This report summarizes the discussions and outcomes of the meeting. Topics covered included leveraging implementation research in WHO African region, Immunization Agenda 2030 (IA2030) impact modeling, subnational immunization coverage estimates for priority countries, modeling diphtheria-tetanus-and-pertussis burden and vaccination strategies, guidance to translate modeling to support evidence-informed decision-making for immunization, multi-model comparisons for typhoid conjugate vaccine schedules, novel metrics to value combination vaccines, stockpiling and vaccination strategies for Ebola response, malaria multi-model comparison of prioritized interventions, additional seasonal doses of malaria vaccine, and 3-dose vs 4-dose malaria vaccine schedule in perennial settings.

Indexed as

ImmunizationImmunization ProgramsVaccinesAdvisory CommitteesHumansImmunization ScheduleVaccinationWorld Health OrganizationVaccinesImmunizationIVIR-ACVaccination

Identifiers

PMID41176964
PMCPMC12683323

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.