Hospitalizations and emergency attendance averted by influenza vaccination in Victoria, Australia, 2017 - 2019.

Catherine G A Pendrey, Arseniy Khvorov, Son Nghiem, Md R Rahaman, Janet Strachan, Sheena G Sullivan

Abstract read

In one paragraph

Article in Epidemiology and infection, 2024. 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.

Influenza Vaccine Effectiveness in Australia During 2017-2019.Influenza and other respiratory viruses · 2025
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

6 authors.

Catherine G A PendreyNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.ORCID 0000-0003-3013-3384

Arseniy KhvorovWHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.

Son NghiemCollege of Health and Medicine, Australian National University, Canberra, ACT, Australia.

Md R RahamanNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.

Janet StrachanCommunicable Diseases, Health Protection Branch, Department of Health, Melbourne, VIC, Australia.

Sheena G SullivanWHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal influenza epidemics result in high levels of healthcare utilization. Vaccination is an effective strategy to reduce the influenza-related burden of disease. However, reporting vaccine effectiveness does not convey the population impacts of influenza vaccination. We aimed to calculate the burden of influenza-related hospitalizations and emergency department (ED) attendance averted by influenza vaccination in Victoria, Australia, from 2017 to 2019, and associated economic savings. We applied a compartmental model to hospitalizations and ED attendances with influenza-specific, and pneumonia and influenza (P&I) with the International Classification of Diseases, 10

Indexed as

Emergency Service, HospitalHospitalizationInfluenza, HumanInfluenza VaccinesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedInfluenza Vaccinesepidemiologyinfluenzapreventionvaccination (immunization)vaccine policy development

Identifiers

PMID39363589

DOI10.1017/S0950268824001122

PMCPMC11450505

What Socratic holds

Textmetadata

LicenceCC BY-NC-SA

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 Socratic graph.