Latest database descriptions

Describe and document suspected or confirmed cases of SARS-CoV2 nosocomial infections, their clinical spectrum and the determinants (risk factors / protection) at the participating hospitals.

Collect comparable data on the use of alcohol, tobacco and other illicit drugs among the adolescent population aged 15-16 years in as many European countries as possible, using a standardized methodology.
Monitor and compare usage trends in European countries.

- Track changes in the child's living conditions (family, social environment, etc.) and measure their impact on his or her physical and mental
development.
- Study the interactions between these living conditions and the child's school career
- Measure the impact of events during pregnancy and the child's health at birth on the latter's subsequent development
- Observe eating habits and their effects on growth (overweight, obesity)
- Assess the child's exposure to chemical, physical or environmental pollutants
- Measure the incidence and prevalence of childhood pathologies at different stages in growth
- Study associations between pathologies and exposure to environmental pollutants
Elfe is one of the two cohorts making up the RECO-NAI research platform, the other being Epipage
2. The general aim of this platform is to set up an infrastructure to support the collection, highly secure storage and distribution of data on pregnancy, birth and children. The platform will use the information yielded by the child cohorts, both followed from birth, to address key issues in the areas of children's health, development and socialization from an overarching, multidisciplinary perspective. It will also ensure that the cohorts are given a high profile in the world of academic research (French and international), as well as among bodies, organizations and manufacturers with an interest in children. This will ensure optimum use of the data collected and promote their dissemination.

Identify the demographic, clinical, biological, virological and immunological factors associated with, or predictive of the onset of a severe form of COVID-19 in a cohort of children and adults managed in a hospital setting at Martinique University Hospital.