The epidemiology department provides data management and biostatistics services applied to surveillance data of communicable diseases.
The team coordinates several projects providing expertise, analysing data, developing scripts (for R, STATA, EpiInfo, etc.), developing and delivering training materials, writing protocols or guidance documents.
- Development of data management automated tools in R and STATA, such as data quality indicators for surveillance data within TESSy.
- Development of scripts in R and/or STATA for automated analysis of surveillance data within TESSy (e.g., HIV, Hepatitis B and C, STI) and for automated reports (e.g., Salmonellosis signal detection reports, West Nile Virus and Legionnaires’ disease surveillance reports). Either as standalone analysis or included into a larger framework (e.g., Zika and travellers data joint analysis, the Epidemiological Validation Report generated on the EpiPulse portal).
- Development of R packages available on the Comprehensive R Archive Network (CRAN) as tools to support surveillance (i.e., epitweetr, EpiReport, Correctionnalisation)
- Literature reviews (e.g., cluster detection methods), development of technical guidance (e.g. Guidance on
managing heterogeneity when pooling surveillance data from different countries; Guidance for trend analysis of pooled surveillance data), and implementation of new statistical methods such as a method for detection of changes in time series (e.g. COVID-19 indicators),
- Developing and delivering training materials in R or STATA (e.g., various on-line R trainings for ECDC staff; basic and intermediate R training for epidemiologists and data managers of the ECDC Epidemic Intelligence team).
Our teams of epidemiologists, biostatisticians and scientists have been supporting the European Centre for Disease Prevention and Control (ECDC) in their analyses of surveillance data within The European Surveillance System (TESSy) or the Epidemic Intelligence Information System (EPIS) platforms.