International ‘Public Health’ Summer School: 02 to 13 June 2025

Content:

• Specific methods in nutritional epidemiology, data collection tools (24-hour recordings, frequency questionnaires, etc.), NutriNet-Santé R24 validation studies, matching with composition data, course and practical workshop
• Methods for collecting physical activity data and current state of knowledge in the field of physical activity, sedentariness and health, including new tools/sensors and practical work using an accelerometer.
• Building the evidence base for public health nutrition and the contribution of major French cohorts: from SU.Vi.MAX to NutriNet-Santé Nutritional profiles / Nutri-Score as an example of public policy from research to action, and practical workshop calculating the Nutri-Score
• Dissemination to the public (patients, citizens, health professionals): example of the NACRe network + example of the student food fresco

Prerequisites: Basic knowledge of epidemiology and public health. Non-experts in nutritional epidemiology.

Speakers:

• Emmanuelle KESSE-GUYOT, Director of Research at INRAE, nutritional epidemiology
• Cédric AGAESSE, Dietician
• Jérémy VANHELST, Senior Lecturer in Exercise Physiology
• Mathilde TOUVIER, Director of Research at Inserm, principal investigator of the NutriNet-Santé cohort, nutritional epidemiology
• Chantal JULIA, Public health nutritionist and senior researcher in nutritional epidemiology
• Bernard SROUR, Pharmacist and senior researcher in nutritional epidemiology, Coordinator and member of the NaCRe Network steering committee
• Alice BELLICHA, Senior lecturer in nutritional epidemiology

Language of instruction: French

Duration: 15 hrs (mornings only)

Fees:
Students: €600 (€510 until 15 April)
Public institutions: €1,050 (€893 until 15 April)
Public schools: €1,350 (€1,148 until 15 April)

Content:

• Setting up pragmatic interventional trials in chronic inflammatory rheumatism: from theory to practice
• Methodology for characterising the pathophysiology of autoimmune diseases and chronic inflammatory rheumatism: environmental and genetic aspects
• Using Artificial Intelligence to improve screening and management of musculoskeletal diseases
• Methodology of interventional studies in orthopaedic surgery

Target audience:

• Clinician
• Researcher: Master’s degree, science thesis
• Academic or industrial clinical research professional (methodologist, statistician, project manager)

Speakers:

• Anna MOLTO, Rheumatologist, hospital practitioner in rheumatology, epidemiologist and post-doctoral researcher
• Olivier FOGEL, Rheumatologist, hospital practitioner in rheumatology and researcher
• Yann NGUYEN, Senior Lecturer in Epidemiology (autoimmune and systemic diseases), Head of the Lysosomal Disease Reference Centre
• Pierre Antoine JUGE, Rheumatologist and researcher specialising in interstitial lung disease associated with rheumatoid arthritis
• Christian ROUX, PU-PH in rheumatology, hospital practitioner and researcher in the epidemiology of brittle bone diseases
• Karine BRIOT, PU-PH in rheumatology, hospital practitioner and researcher in the epidemiology of brittle bone diseases
• David BIAU, PU-PH in orthopaedic surgery
• Baptiste BOUKEBOUS, Orthopaedic surgeon and traumatologist and researcher in epidemiology

Language of instruction: French

Duration: 12 hours

Fees:
Students: €480 (€408 until 15 April)
Public institutions: €840 (€714 until 15 April)
Private institutions: €1,080 (€918 until 15 April)

Content:

This course is designed to present epidemiological tools and methods applied to the field of women’s, mothers’ and children’s health. For each topic, we will look at participant recruitment, data collection (including follow-up, where appropriate) and the principles of data analysis, and we will share examples of applied research from our own work. Finally, we will discuss potential difficulties and biases and the impact on public health.

• Paediatric disease surveillance using population health registers
• Etiological research in paediatric epidemiology using case-control studies
• Monitoring general and specific paediatric populations using cohorts
• Intervention studies (interventions, diagnostic tests)
• Social inequalities in health

At the end of the module, participants will be able to

• Understand the key concepts of maternal and paediatric epidemiology
• Identify the most appropriate epidemiological tools and methodologies for monitoring and understanding the determinants of health in these populations
• Critically interpret the results of epidemiological studies in this field.

Prerequisites: Basic knowledge of epidemiology and biostatistics

Target audience: actors and professionals working or interested in the field of women’s, children’s and young people’s health.

Language of instruction: French

Duration: 15 hours

Fees:
Students: €600 (€510 until 15 April)
Public institutions: €1,050 (€893 until 15 April)
Private institutions: €1,350 (€1,148 up to 15 April)

Content:

This two-day module will be conducted in collaboration with Cochrane France. It will cover the methods of systematic reviews and meta-analyses of interventions.

More specifically, we will explore the following points:

• Formulating the research question (PICO approach), developing the protocol (PRISMA-P), assessing the risk of bias (ROB2), synthesizing results through meta-analysis, and interpreting findings using the GRADE framework.
• The risks and opportunities of AI tools to accelerate the review process.

Practical exercises will be integrated throughout the module, with an introduction to existing software such as Covidence, RevMan, and GradePro.

Although the workshop is delivered in English, it remains accessible to non-native speakers, including French speakers

Prerequisites: a basic understanding of research methods and statistics is useful, but not compulsory.

Target audience:

• Graduate students and early-career researchers
• Clinicians (physicians, nurses, allied health professionals) interested in evidence synthesis
• Policymakers and administrators seeking to integrate evidence-based methods in decision-making

A basic understanding of research methods and statistics is helpful but not mandatory.

Software to be installed beforehand: Covidence, Revman and GradePro

Speakers:

• Isabelle BOUTRON, PU-PH in Epidemiology, Director of CRESS and of the French Centre of the International and Independent Cochrane Network

Language of instruction: English

Duration: 12 hours

Fees:
Students: €480 (€408 until 15 April)
Public institutions: €840 (€714 until 15 April)
Private institutions: €1,080 (€918 until 15 April) 

Content:

This 2-day’s workshop covers methods in systematic reviews and meta-analyses of interventions, including formulation of the research question (PICO approach), protocol development (PRISMA-P), search strategy, study selection, data extraction, risk-of-bias assessment (ROB2), synthesizing findings with meta-analysis and interpreting results using the GRADE framework. Practical exercises are integrated throughout, including introduction to existing software such as Covidence, Revman and GradePro. Discussions also address new developments in AI tools for accelerating review processes.

Although the workshop is delivered in English, it remains accessible to non-native speakers, including French speakers

Prerequisites: a basic understanding of research methods and statistics is useful, but not compulsory.

Target audience:

• Graduate students and early-career researchers
• Clinicians (physicians, nurses, allied health professionals) interested in evidence synthesis
• Policymakers and administrators seeking to integrate evidence-based methods in decision-making

A basic understanding of research methods and statistics is helpful but not mandatory.

Software to be installed beforehand: Covidence, Revman and GradePro

Speakers:

• Isabelle BOUTRON, PU-PH in Epidemiology, Director of CRESS and of the French Centre of the International and Independent Cochrane Network

Language of instruction: English

Duration: 12 hours

Fees:
Students: €480 (€408 until 15 April)
Public institutions: €840 (€714 until 15 April)
Private institutions: €1,080 (€918 until 15 April)

Content:

Context: For any given condition there may be a number of alternative treatment options. Network meta-analysis is an extension of pairwise meta-analysis that allows the simultaneous synthesis of data from networks of interventions. By combining direct and indirect information, network meta-analysis can inform every possible treatment comparison, even those for which no head-to-head comparisons exist.

Aim: This course will focus on the role of network meta-analyses in comparative effectiveness research for healthcare interventions.

The objective of this course is to examine the full process of a network meta-analysis from the planning stage and the preparation of the protocol up to the final report and publication of the manuscript.

In this course participants will be able to:

• Understand the concept and the main principles of network meta-analysis
• Write a protocol for a network meta-analysis
• Understand and evaluate the assumptions of a network meta-analysis
• Synthesize data from a network of interventions
• Interpret the results of a network meta-analysis
• Identify the limitations and potential sources of bias within a network of interventions
• Critically appraise the results from a network meta-analysis

Prerequisites:

• Participants must have a solid understanding of systematic reviews and meta-analyses, basic knowledge of statistics, and some experience with R
• Participants who will attend the module on systematic reviews and meta-analysis of this international summer school (module 5) are welcome

Target audience:

• Graduate students and early-career researchers
• Health professionals (physicians, nurses, pharmacists, etc.) with a good understanding of quantitative analyses interested in evidence synthesis
• Policymakers or guideline developers seeking to integrate evidence synthesis methods in decision-making
• Epidemiologists, biostatisticians and health economists interested in evidence synthesis

Software to be installed beforehand: R and RStudio (for the practical sessions)

Speakers:

• Anna CHAIMANI, Ass Professor of Biostatistics, University of Oslo, Norway
• Theodoros EVRENOGLOU, Post-doctoral Research Fellow, University of Freiburg, Germany

Course language: English

Duration: 12 hours

Fees:
Students: €480 (€408 until 15 April)
Public institutions: €840 (€714 until 15 April)
Private institutions: €1,080 (€918 until 15 April)

Content:

This course will inform on the importance of using a lifecourse approach in the context of the research on health during ageing. The demographic transition due to increase in life expectancy raises the challenge to keep individuals healthy and autonomous as long as possible.

This course will introduce different perspectives on the epidemiology of ageing:

• Increase in life expectancy and its impact on health and quality of life of older adults;
• Physical functioning and the concept of frailty;
• Cognitive functioning, Alzheimer’s disease, and other neurocognitive disorders;
• Disability and the concept of multimorbidity.

The course will provide tools on how to measure these different concepts in population-based cohorts with interactive exercices, the evidence from the literature on risk factors for these ageing outcomes, and the importance of measuring both risk factors and markers of these outcomes starting in midlife. At the end of each session, a critical review of an article will be conducted in order to discuss potential biases that could be encountered in the studies on ageing outcomes.

Prerequisites: Knowledge in epidemiology or public health

Speakers :

• Séverine SABIA, INSERM Research Director in Epidemiology
• Céline BEN HASSEN, Biologist and biostatistician, post-doctoral researcher
• Benjamin LANDRÉ, Post-doctoral researcher in epidemiology

Language of instruction: English

Duration: 12 hours

Fees:
Students: €480 (€408 until 15 April)
Public institutions: €840 (€714 until 15 April)
Private institutions: €1,080 (€918 until 15 April)

Content: This course will introduce the use of statistical methods in the case of longitudinal data. On the first day, after an introduction to the different types of longitudinal data, the course will deal with survival models and introduce multi-state models. The second day will be devoted to data repeated over time for the study of temporal trajectories, covering linear and logistic mixed models and trajectory profile analyses. Each course will include an introduction to statistical models and concrete examples of both programming in R and interpretation of coefficients.

Prerequisites: basic knowledge of statistics, familiarity with the usual regression models (linear and logistic) and with data management, knowledge of R software.

Software to be installed beforehand: R

Speakers:

• Aline DUGRAVOT, Biostatistician and Scientific Project Manager
• Aurore FAYOSSE, Statistical engineer, manager of large databases
• Gabriella SILVA (teaching support), Biostatistician and post-doctoral researcher

Language of instruction: French

Duration: 12 hours

Fees:
Students: €480 (€408 until 15 April)
Public institutions: €840 (€714 until 15 April)
Private institutions: €1,080 (€918 until 15 April)