Does Repeat Influenza Vaccination Constrain Influenza Immune Responses and Protection
1 other identifier
observational
1,500
1 country
6
Brief Summary
The objectives of this study are to understand the long-term consequences of repeated annual influenza vaccination among healthcare workers (HCWs) and to use statistical and mathematical modelling to elucidate the immunological processes that underlie vaccination responses and their implications for vaccination effectiveness. These objectives will be achieved by pursuing three specific aims:
- 1.To study the immunogenicity and effectiveness of influenza vaccination by prior vaccination experience
- 2.To characterize immunological profiles associated with vaccination and infection
- 3.To evaluate the impact of immunity on vaccination effectiveness.
- 4.To estimate risk factors and correlates of protection for SARS-CoV-2 infection amongst HCW
- 5.To characterize viral kinetics and within-host viral dynamics of SARS-CoV-2 infecting HCW
- 6.To characterize immunological profiles following infection by SARS-CoV-2
- 7.To characterize immunological profiles following vaccination for SARS-CoV-2.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2020
Longer than P75 for all trials
6 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 2, 2020
CompletedFirst Submitted
Initial submission to the registry
October 27, 2021
CompletedFirst Posted
Study publicly available on registry
November 8, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2025
CompletedApril 1, 2025
March 1, 2025
5.2 years
October 27, 2021
March 26, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
Seropositivity post-vaccination (influenza vaccine)
Seropositivity among vaccination groups will be calculated and compared using logistic regression, with seropositivity coded as 1 if the titre ≥40, and 0 if the titre is \<40. We will test for trend among vaccination groups, assuming seropositivity will be lowest in the most highly vaccinated.
Post-vaccination blood draws are at 14-21 days post vaccination. Collected each year 2020-2023 post annual influenza vaccination.
Seropositivity post-season (influenza vaccine)
Seropositivity among vaccination groups will be calculated and compared using logistic regression, with seropositivity coded as 1 if the titre ≥40, and 0 if the titre is \<40. We will test for trend among vaccination groups, assuming seropositivity will be lowest in the most highly vaccinated.
End of the season blood draws are in October or November each year, at the conclusion of Australia's annual influenza season. Vaccination usually occurs in April or May. Collected each year 2020-2023 post annual influenza season.
Fold-rise in geometric mean antibody titre (GMT) pre- to post-vaccination
The changes in GMT from pre- to post-vaccination. Seroconversion is defined as samples with 4-fold increases in hemagglutination inhibition (HI) titre.
Changes from day 0 to day 14-21 post influenza vaccination. Collected each year 2020-2023 pre and post annual influenza vaccination.
Fold-change in geometric mean antibody titre (GMT) post-vaccination to post-season
The changes in GMT from post-vaccination to post-season.
Changes from day 14-21 to post-season. Influenza season in Australia is approximately May to November. Pre-vaccination to post-season is approximately April or May to October or November each year. Collected each year 2020-2023.
Seroconversion fraction post-vaccination
The proportion of samples with 4-fold increases in hemagglutination inhibition (HI) titre. Seroconversion post-vaccination will be calculated and compared among vaccination groups by logistic regression, with seroconversion coded as 1 if the fold-rise in titre is ≥4 and 0 if the fold-rise in titre is \<4. We will test for trend, assuming seroconversion will be lowest in the most highly vaccinated.
Changes from day 0 to day 14-21 post influenza vaccination. Collected each year 2020-2023 pre and post annual influenza vaccination.
Secondary Outcomes (24)
Healthcare workers (HCWs) PCR-positive for influenza at the end of each season
Influenza season in Australia is approximately May to November. Follow up for PCR-positives from approximately April/May to October/November each year from 2020-2023.
Influenza attack rate at the end of each season
Person-time at risk, during influenza season. Influenza season in Australia is approximately May to November. Follow up for PCR-positives from approximately April/May to October/November each year from 2020-2023.
Vaccine efficacy (VE)
Person-time at risk, during influenza season. Influenza season in Australia is approximately May to November. Follow up for PCR-positives from approximately April/May to October/November each year from 2020-2023.
Duration of illness (influenza)
Days ill, during influenza season. Influenza season in Australia is approximately May to November. Follow up for PCR-positives from approximately April/May to October/November each year from 2020-2023.
Haemagglutinin (HA) antibody landscapes for vaccine-naïve and highly-vaccinated healthcare workers (HCWs)
Bloods on day 0, day 7, day 14-21 post influenza vaccination and end of season. Collected each year 2020-2023 pre and post annual influenza vaccination and end of influenza season.
- +19 more secondary outcomes
Study Arms (1)
Healthcare Workers
Eligible participants will be recruited from 1 of 6 participating hospitals in Australia and will meet the following criteria: personnel (including staff, honorary staff, students and volunteers) located at a participating hospital or healthcare service at the time of recruitment who would be eligible for the hospital's free vaccination programme; be aged ≥18 years old and ≤60 years old; have a mobile phone that can receive and send SMS messages; willing and able to provide blood samples; available for follow-up over the next 7 months; able and willing to complete the informed consent process. There are no restrictions on the type of healthcare worker (HCW) that can be recruited into the study in terms of their job role. HCW will be any hospital staff, including clinical, research, administrative and support staff.
Interventions
Influenza vaccine made available to healthcare workers at the participating healthcare sites, as part of their free vaccination campaigns for healthcare workers.
SARS-CoV-2 vaccine made available to healthcare workers at the participating healthcare sites, as part of their free vaccination campaigns for healthcare workers.
Eligibility Criteria
Healthcare workers (including staff, honorary staff, students and volunteers) from six participating hospitals (or healthcare services) who are eligible for the hospitals' free vaccination programmes, at the time of recruitment.
You may qualify if:
- Eligible participants will be recruited from 1 of 6 participating hospitals and will meet the following criteria:
- Personnel (including staff, honorary staff, students and volunteers) located at a participating hospital or healthcare service at the time of recruitment who would be eligible for the hospital's free vaccination programme
- Be aged ≥18 years old and ≤60 years old;
- Have a mobile phone that can receive and send SMS messages;
- Willing and able to provide blood samples;
- Available for follow-up over the next 7 months;
- Able and willing to complete the informed consent process.
- There are no restrictions on the type of healthcare worker (HCW) that can be recruited into the study in terms of their job role. HCWs can be any hospital staff, including clinical, research, administrative and support staff.
You may not qualify if:
- Immunosuppressive treatment (including systemic corticosteroids) within the past 6 months;
- Personnel for whom vaccination is contraindicated at the time of recruitment.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Melbournelead
- The University of Queenslandcollaborator
- Sydney Children's Hospitals Networkcollaborator
- The Alfredcollaborator
- University of Adelaidecollaborator
- The University of Western Australiacollaborator
- London School of Hygiene and Tropical Medicinecollaborator
- University of Newcastle, Australiacollaborator
Study Sites (6)
John Hunter Hospital
New Lambton Heights, New South Wales, 2305, Australia
The Children's Hospital at Westmead
Westmead, New South Wales, 2145, Australia
Queensland Children's Hospital
Brisbane, Queensland, 4101, Australia
Women's and Children's Hospital
Adelaide, South Australia, 5006, Australia
The Alfred
Melbourne, Victoria, 3004, Australia
Perth Children's Hospital
Nedlands, Western Australia, 6009, Australia
Related Publications (1)
Liu Y, Sanchez-Ovando S, Carolan L, Dowson L, Khvorov A, Jessica Hadiprodjo A, Tseng YY, Delahunty C, Khatami A, Macnish M, Dougherty S, Hagenauer M, Riley KE, Jadhav A, Harvey J, Kaiser M, Mathew S, Hodgson D, Leung V, Subbarao K, Cheng AC, Macartney K, Koirala A, Marshall H, Clark J, Blyth CC, Wark P, Kucharski AJ, Sullivan SG, Fox A. Superior immunogenicity of mRNA over adenoviral vectored COVID-19 vaccines reflects B cell dynamics independent of anti-vector immunity: Implications for future pandemic vaccines. Vaccine. 2023 Nov 22;41(48):7192-7200. doi: 10.1016/j.vaccine.2023.10.034. Epub 2023 Oct 28.
PMID: 37903679DERIVED
Biospecimen
This study will not generate human genomic data. However, all virus sequencing data generated will be uploaded to the Global Initiative on Sharing All Influenza Data (GISAID) website, as part of standard surveillance practices of the WHO Collaborating Centre for Reference and Research on Influenza.
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Sheena Sullivan, MPH, PhD
University of Melbourne
- PRINCIPAL INVESTIGATOR
Annette Fox, PhD
University of Melbourne
- PRINCIPAL INVESTIGATOR
Adam Kucharski, MMath, PhD
London School of Hygiene and Tropical Medicine
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 27, 2021
First Posted
November 8, 2021
Study Start
April 2, 2020
Primary Completion
June 30, 2025
Study Completion
June 30, 2025
Last Updated
April 1, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, ANALYTIC CODE
- Time Frame
- Data will be available after publication of results, likely in late-2024.
- Access Criteria
- Data will only be shared with new collaborators under a data-sharing agreement that provides for: (1) a commitment to using the data only for research purposes and not to identify any individual participant; (2) a commitment to securing the data using appropriate computer technology; and (3) a commitment to destroying or returning the data after analyses are completed.
Sharing original data: The proposed study will collect demographic and clinical information, as well as blood and respiratory specimens from participants. Because we will be conducting longitudinal follow-up, we will be collecting identifiable information. Any data shared will be stripped of identifiers prior to release for sharing. However, there remains the possibility of deductive disclosure of participants with unusual characteristics. Thus, data will only be shared with new collaborators under a data-sharing agreement that provides for: (1) a commitment to using the data only for research purposes and not to identify any individual participant; (2) a commitment to securing the data using appropriate computer technology; and (3) a commitment to destroying or returning the data after analyses are completed.