A new look at weather-related health impacts through functional regression.

Masselot, Pierre; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179; Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X; Bélanger, Diane; St-Hilaire, André et Gosselin, Pierre (2018). A new look at weather-related health impacts through functional regression. Scientific Reports , vol. 8 , nº 1. p. 15241. DOI: 10.1038/s41598-018-33626-1.

Prévisualisation

PDF Télécharger (1MB) | Prévisualisation

Résumé

A major challenge of climate change adaptation is to assess the effect of changing weather on human health. In spite of an increasing literature on the weather-related health subject, many aspect of the relationship are not known, limiting the predictive power of epidemiologic models. The present paper proposes new models to improve the performances of the currently used ones. The proposed models are based on functional data analysis (FDA), a statistical framework dealing with continuous curves instead of scalar time series. The models are applied to the temperature-related cardiovascular mortality issue in Montreal. By making use of the whole information available, the proposed models improve the prediction of cardiovascular mortality according to temperature. In addition, results shed new lights on the relationship by quantifying physiological adaptation effects. These results, not found with classical model, illustrate the potential of FDA approaches.

Type de document:	Article
Mots-clés libres:	cardiovascular mortality; controlled study; data analysis; human; light; prediction; quantitative analysis; time series analysis; weather
Centre:	Centre Eau Terre Environnement
Date de dépôt:	04 mars 2019 16:11
Dernière modification:	15 févr. 2022 20:24
URI:	https://espace.inrs.ca/id/eprint/7833

Gestion Actions (Identification requise)

Modifier la notice