Evidence map›Paper›PMID 41176967›Full record

ArticleVaccine2025

Heterogeneity in seasonal influenza vaccination opportunity and disease risk during pregnancy and in infants <6 months.

Sinead E Morris, Alissa O'Halloran, Devi Sundaresan, Fatimah S Dawood, Sascha Ellington, Lisa A Grohskopf, Samantha M Olson, Rebecca K Borchering, Catherine H Bozio, Carrie Reed and 1 more

Abstract read
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. 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. Missed opportunities for maternal immunisation against influenza and COVID-19, Norway, October 2023 to May 2024: a population-based registry study.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
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

11 authors.

Sinead E MorrisInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA; Goldbelt Professional Services, Chesapeake, VA 23320, USA. Electronic address: run7@cdc.gov.
Alissa O'HalloranInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Devi SundaresanInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA; Goldbelt Professional Services, Chesapeake, VA 23320, USA.
Fatimah S DawoodCoronavirus and other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Sascha EllingtonInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Lisa A GrohskopfInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Samantha M OlsonInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Rebecca K BorcheringInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Catherine H BozioInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Carrie ReedInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Matthew BiggerstaffInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA. Electronic address: zmo2@cdc.gov.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Pregnant women and infants <6 months are at increased risk of severe influenza but can receive protection through influenza vaccination administered during pregnancy. Since influenza vaccination and virus transmission are seasonal in the United States, the calendar timing of pregnancy could impact the opportunity for influenza vaccination and risk of influenza for pregnant women and their infants. Using data on laboratory-confirmed influenza-associated hospitalizations from 2005/06 to 2022/23 (excluding the 2009/10 and 2020/21 seasons), we assessed the risk of hospitalization by influenza season timing and by pregnancy start and infant birth months. We then used 2022/23 influenza vaccination coverage data, and the weekly number of influenza positive specimens identified from 2005/06 to 2022/23 (excluding 2009/10 and 2020/21), to quantify how the opportunity for seasonal influenza vaccination and risk of influenza exposure varied with pregnancy and birth timing. We found that pregnancy start and infant birth months with the greatest hospitalization risk varied between seasons. In seasons peaking before the second week in January, the greatest percentage of hospitalizations occurred among pregnancies beginning March-June with births in October-December. In seasons peaking later, the greatest percentage occurred among pregnancies beginning May-August with births in November-January. Opportunities for protection through maternal vaccination also varied between pregnant women and infants who were most at risk for influenza. Most pregnant women at risk of influenza had an opportunity for current season vaccination during or before pregnancy (93-98 % depending on season timing). However, only 17-54 % of infants at risk had an opportunity for current season protection as many were born before most influenza vaccines were administered. Our results highlight heterogeneity in influenza vaccination opportunity and risk of influenza and severe disease among pregnant women and young infants and could inform strategies to increase vaccine-mediated protection in those at greatest risk.

Indexed as

Influenza, HumanInfluenza VaccinesPregnancy Complications, InfectiousVaccinationAdultFemaleHospitalizationHumansInfantInfant, NewbornPregnancySeasonsUnited StatesVaccination CoverageYoung AdultInfluenza VaccinesInfantsInfluenzaMaternal vaccinationPregnancy

Identifiers

PMID41176967
PMCPMC13089113

What OpenQuestion holds

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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.