Advanced Methods in Climate Change Epidemiology

Course 5

Date

23 – 25 January 2025

Faculty

Prof. Ana M. Vicedo-Cabrera
Institute of Social and Preventive Medicine (ISPM), University of Bern, Switzerland

Dr. Antonio Gasparrini
London School of Hygiene and Tropical Medicine, United Kingdom

Venue

CH – 3823 Wengen | tba

Course description

Climate change is the defining public health challenge of the century. The assessment of its health impacts at different geographical and temporal scales, and the identification of the potential mechanisms and the main vulnerable populations are key priorities in today’s epidemiological research. During the last years, novel approaches in environmental epidemiology have emerged, boosted by the urgency to provide reliable scientific evidence to protect populations from climate change. These new techniques combine advanced statistical methods and epidemiological designs, new data sources and interdisciplinary methods to address increasingly complex research questions. This course aims to provide a comprehensive, hands-on, up-to-date overview of the latest developments in environmental epidemiology applied to climate change research. In particular, the course will cover the state-of-the-art study designs such as multi-location time series analyses and small-area assements, advanced methodologies such as distributed lag models and GIS data linkage, and applications such as health impact projection studies and health attribution analysis. The course will provide fully documented material on the statistical and epidemiological bases with small lectures, real-data demos, and the corresponding R code.

Course objectives

By the end of this course, participants will have acquired knowledge on:

  • the latest developments in epidemiological methods in climate change research, including time series analysis, distributed-lag non-linear models and health impact assessments.
  • their application in epidemiological assessments of climate-sensitive health outcomes, and in specific settings including projection of health impacts under climate change scenarios or attribution of health impacts to climate change.

Course audience

This course is aimed at epidemiologists, biostatisticians, and other health researchers with quantitative skills and some experience in statistical analysis. Stata® will be used for the computer practical sessions, and so familiarity with the package is desirable, although code and solutions will be provided.

Course outline

The course runs over three days and consists of short lectures, computer demos, and practical sessions with real-data analysis.

Thursday, 23 January            8:00 am – 12:00 pm | 4:30 pm – 6:30 pm

Friday, 24 January                 8:00 am – 12:00 pm | 4:30 pm – 6:30 pm

Saturday, 25 January            8:00 am – 12:00 pm | 1:00 pm – 3:00 pm

Credits

1.0 ECTS

Course materials

Students should bring their own portable computers with the latest version of R and RStudio.

Course book

We provide course materials: presentation slides, documents illustrating demos, and R script and data.

Course fee

PhD Bern: CHF 600
PhD other: CHF 800
Academic: CHF 1000
Industry: CHF 2000

Registration

The pre-registration starts 26 August 12:00 pm until 1 September 12:00 am.
The open registration starts some time in September, the exact date will be communicated. Go to registration

Accomodation

Book your accommodation separately. Please see recommendations for special prices.