Stay up-to-date
Subscribe to the mailing list to receive invitations to register for sessions as soon as they’re scheduled, plus bonus content like session recaps and updates. Don’t miss our next session!
SubscribePresent a paper
We are always looking for volunteers to present a paper. If you're interested, find more informations below!
Register for the next session
Real-World Data in Action: From Challenges to Transformative Evidence
Stay up-to-date
Subscribe to the mailing list to receive invitations to register for sessions as soon as they’re scheduled, plus bonus content like session recaps and updates. Don’t miss our next session!
SubscribePresent a paper
We are always looking for volunteers to present a paper. If you're interested, fill out the survey below!
Register for the next session
Uncertainty in Science: Should We Say More, or Less?
What to expect at a Journal Club appointment
The Journal Club is a space to ask bold questions, challenge your assumptions, and sharpen your thinking! We welcome anyone with an interest in vaccines, health data, safety monitoring, real-world evidence, and methodology. A typical Journal Club appointment might go something like this:
- First, the presenter walks us through the scientific paper they’ve selected
- Topics span public health, pharmacoepidemiology, biostatistics, safety monitoring, and more!
- We listen actively, ask questions, and challenge our assumptions
- Don’t be shy! All questions are welcome, from clarifications to critical points
- Expect deep questions, open discussion, and occasional debates — all in a respectful space
Upcoming Appointments
Uncertainty in Science: Should We Say More, or Less?
A more scientifically literate public enables better engagement and understanding on complex socioscientific issues like COVID-19 or climate change. But how far do we need to go as researchers, communicators and educators? In a world full of misinformation, how do we communicate results effectively without overselling the impact? Do we need to explain the uncertain nature of science itself? How will this impact public trust?
How to Participate
To participate in the VAC4EU Journal Club, subscribe to the mailing list and you will receive a periodic invitation to register for the next appointment.
Presenting at the Journal Club
The Journal Club is designed for researchers at all levels, especially early-career professionals working in public health, epidemiology, biostatistics, data sciences, and related fields. If that’s you, consider presenting at the Journal Club! You don't need to be an expert, and you don’t need to be a VAC4EU member. Here's what we ask of presenters:
- Select a scientific paper you find interesting
- Work with the Organising Committee to define the scope of the presentation
- Prepare a 20-30 minute presentation on the paper
- Start the discussion and see where it leads
Presenting at the Journal Club
The Journal Club is designed for researchers at all levels, especially early-career professionals working in public health, epidemiology, biostatistics, data sciences, and related fields. If that’s you, consider presenting at the Journal Club! You don't need to be an expert, and you don’t need to be a VAC4EU member. Here's what we ask of presenters:
- Select a scientific paper you find interesting
- Work with the Organising Committee to define the scope of the presentation
- Prepare a 20-30 minute presentation on the paper
- Start the discussion and see where it leads
If you're interested, please fill out the survey below and the Organising Committee will contact you to discuss further.
Previous Appointments
Davide Messina
Watch Davide Messina present the paper, "The FAIRification of research in real-world evidence: A practical introduction to reproducible analytic workflows using Git and R" (Weberpals & Wang, 2024, Pharmacoepidemiology and Drug Safety) at this VAC4EU Journal Club session.
Samantha Duckworth
When public health becomes a political battlefield, pregnant women and their babies become collateral damage. In a world where vaccine misinformation outpaces science we urgently need transparent and robust evidence to protect vulnerable populations.
Sima Mohammadi
Can you imagine a future where we could analyse raw health data without manual standardisation and no delay?
Mahmoud Zidan
Quasi-experimental methods for pharmacoepidemiology: difference-in-differences and synthetic control methods with case studies for vaccine evaluation (Lee Kennedy-Shaffer, 2024).
Giorgio Limoncella
Emulating a Target Trial of Interventions Initiated During Pregnancy with Healthcare Databases: The Example of COVID-19 Vaccination (Hernandez-Diaz S et al, 2024).
Felipe Villalobos
Association between SARS-CoV-2 vaccination and healthcare contacts for menstrual disturbance and bleeding in women before and after menopause: nationwide, register based cohort study (Ljung R, et al, 2023).
Judit Riera
A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks (Callahan TJ, et al, 2023).
Elisa Barbieri
Hybrid immunity against reinfection with SARS-CoV-2 following a previous SARS-CoV-2 infection and single dose of the BNT162b2 vaccine in children and adolescents: a target trial emulation (Gazit S, et al, 2023).
Giuseppe Roberto
Effectiveness of mRNA vaccine boosters against infection with the SARS-CoV-2 omicron (B.1.1.529) variant in Spain: a nationwide cohort study (Monge S, et al, 2023).
Elena Dudukina
Emulating a Target Trial of Interventions Initiated During Pregnancy with Healthcare Databases: The Example of COVID-19 Vaccination (Hernández-Díaz S, et al, 2023).
Angela Luppatelli
A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effect of vaccines on child hospitalizations (Jensen AK, et al, 2016).
Xabier García de Albéniz Martinez
Continuation of annual screening mammography and breast cancer mortality in women older than 70 years (García-Albéniz X, et al, 2022).
Lau Amdisen
Using big data to emulate a target trial when a randomized trial is not avaialable (Hernán MA, et al, 2016).
Sophie Bots
Tutorial in biostatistics: the self controlled case series method (Whitaker HJ, et al, 2006).
Nicolas Thurin
Framework for visulalizing study design and data observability in electronic health record data (Wang SV, et al, 2022).
Lin Li
Methods for addressing “innocent bystanders” when evaluating safety of concomitant vaccines. Wang et al. Pharmacoepidemiol Drug Saf. 2018 (Wang SV, et al, 2019).
Rosa Gini
Theoretical Basis of the Test-Negative Study Design for Assessment of Influenza Vaccine Effectiveness. (Sullivan SG, et al, 2016).