Objective
To investigate how the integration of massive health data (French National Health Data System, SNDS, and data from Regional Neonatal Screening Centers, CRDN) and environmental data (Information System on Health and Environment for Water, SISE-Eaux, and the Air Quality Cartography from INERIS) can be used to explore associations between environmental pollution and congenital hypothyroidism (CH), and to enable early detection of large-scale epidemic signals.
Methods
This synthesis is based on three peer-reviewed articles published by our team. The first study analyzes spatial and temporal trends in the incidence of congenital and acquired hypothyroidism in France from 2014 to 2019 using the SNDS, a medico-administrative database covering the entire French population. The second study, conducted at the regional level (Picardy), assesses the association between neonatal TSH concentrations and prenatal exposure to various air and water pollutants by linking neonatal screening data with local environmental data. The third study examines, at the national level, the relationship between prenatal exposure to specific pollutants (perchlorate, nitrates, particulate matter) and the incidence of CH, based on a national cohort derived from the SNDS.
Results
The analyses reveal associations between several environmental pollutants and alterations in neonatal thyroid function. The combined use of SNDS and large-scale environmental data enables fine-grained detection of emerging epidemic signals across the country.
Conclusions
Integrating massive health and environmental datasets opens new avenues for automated epidemiological surveillance and for better understanding the environmental determinants of thyroid diseases.
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