Evidence map›Paper›PMID 29712866›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Optimizing the impact of low-efficacy influenza vaccines.

Pratha Sah, Jan Medlock, Meagan C Fitzpatrick, Burton H Singer, Alison P Galvani

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  4. Influenza vaccination allocation in tropical settings under constrained resources.medRxiv : the preprint server for health sciences · 2024
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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

5 authors.

Pratha SahCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06510.
Jan MedlockDepartment of Biomedical Sciences, Oregon State University, Corvallis, OR 97331.
Meagan C FitzpatrickCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06510.
Burton H SingerEmerging Pathogens Institute, University of Florida, Gainesville, FL 32610 bhsinger@epi.ufl.edu.
Alison P GalvaniCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06510.

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
Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial dataR01AI151176 · NIAID · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2020 to 2024
$3.9M
Evaluating the social influences that impact vaccination decisionsU01GM105627 · NIGMS · YALE UNIVERSITY · PI GALVANI, ALISON P · 2013 to 2017
$1.6M
NIAID NIH HHS R01 AI151176NIGMS NIH HHS U01 GM087719NIGMS NIH HHS U01 GM105627
6 · The paper itself

Abstract

The efficacy of influenza vaccines varies from one year to the next, with efficacy during the 2017-2018 season anticipated to be lower than usual. However, the impact of low-efficacy vaccines at the population level and their optimal age-specific distribution have yet to be ascertained. Applying an optimization algorithm to a mathematical model of influenza transmission and vaccination in the United States, we determined the optimal age-specific uptake of low-efficacy vaccine that would minimize incidence, hospitalization, mortality, and disability-adjusted life-years (DALYs), respectively. We found that even relatively low-efficacy influenza vaccines can be highly impactful, particularly when vaccine uptake is optimally distributed across age groups. As vaccine efficacy declines, the optimal distribution of vaccine uptake shifts toward the elderly to minimize mortality and DALYs. Health practitioner encouragement and concerted recruitment efforts are required to achieve optimal coverage among target age groups, thereby minimizing influenza morbidity and mortality for the population overall.

Indexed as

AdolescentAdultAgedChildChild, PreschoolHospitalizationHumansIncidenceInfantInfant, NewbornInfluenza A virusInfluenza, HumanInfluenza VaccinesMiddle AgedMorbidityPopulation SurveillanceInfluenza Vaccinesage structuredDALYhospitalizationmathematical modelvaccination

Identifiers

PMID29712866
PMCPMC5960327

What OpenQuestion holds

Textmetadata
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.