Evidence map›Paper›PMID 41587610›Full record

ArticleJournal of clinical epidemiology2026

An agent-based model of the effects of limited vaccination on novel respiratory infections.

Mary G Krauland, Alexis J Mandell, Katherine V Williams, Richard K Zimmerman, Mark S Roberts

Abstract read
In one paragraph

Article in Journal of clinical epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mary G KraulandDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania; Public Health Dynamics Laboratory, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania. Electronic address: mgk8@pitt.edu.
Alexis J MandellPublic Health Dynamics Laboratory, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Katherine V WilliamsDepartment of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Richard K ZimmermanDepartment of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Mark S RobertsDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania; Public Health Dynamics Laboratory, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.

Funding

NCIRD CDC HHS U01 IP001141
6 · The paper itself

Abstract

objectivesVaccination is a safe and effective method for preventing infectious diseases but for novel pathogens vaccine supplies may be limited. We modeled distribution of a limited vaccine supply to specific age groups to investigate the effectiveness at preventing infection and mortality of a novel influenza-like virus.

methodsWe used the agent-based modeling platform Framework for Reconstructing Epidemic Dynamics. Limited supplies of vaccine were administered to target age groups. Increased vaccination rates in the 5-17 year old age group tested the ability of single-age group vaccination to interrupt viral transmission. Mortality was estimated using patterns associated with historic pandemic respiratory pathogens.

resultsIn all cases limited vaccination had relatively little impact on overall infections. Distribution of vaccine to 5-17 years olds stopped transmission only at very high vaccine coverage, high vaccine effectiveness and relatively low viral transmissibility. The best strategy for decreasing mortality in all modeled scenarios was to target the age group with the highest mortality.

conclusionResults suggests that in the event of a highly transmissible disease, limited vaccine supplies will not interrupt transmission. Vaccine distribution protecting the most vulnerable from severe outcomes, even without limiting transmission, was the most effective strategy for preventing mortality. PLAIN LANGUAGE SUMMARY: In the case of an emerging disease, vaccine supplies may be limited during the time of high transmission. In such a situation, vaccinating the age group with the highest transmission rate may not be the best strategy to limit mortality, since it will not stop transmission or produce herd immunity. Vaccination may be better used to target the age group with the highest mortality, which may be different for different diseases.

Indexed as

Influenza, HumanInfluenza VaccinesRespiratory Tract InfectionsVaccinationAdolescentChildChild, PreschoolHumansVaccine EfficacyInfluenza VaccinesAgent-based modelingLimited vaccinationPandemic virusRespiratory virusVaccinationVaccine distribution

Identifiers

PMID41587610
PMCPMC13308560

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LicenceCC BY
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Registered trials

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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.