From single to multivariable exposure models to translate climatic and air pollution effects into mortality risk. A customized application to the city of Rome, Italy

This study presents an approach developed to derive a Delayed-Multivariate Exposure-Response Model (D-MERF) useful to assess the short-term influence of temperature on mortality, accounting also for the effect of air pollution (O(3) and PM(10)). By using Distributed, lag non-linear models (DLNM) we...

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Detalles Bibliográficos
Autores principales: Michetti, M., Adani, M., Anav, A., Benassi, B., Dalmastri, C., D'Elia, I., Gualtieri, M., Piersanti, A., Sannino, G., Uccelli, R., Zanini, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127213/
https://www.ncbi.nlm.nih.gov/pubmed/35620759
http://dx.doi.org/10.1016/j.mex.2022.101717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127213/
https://www.ncbi.nlm.nih.gov/pubmed/35620759
http://dx.doi.org/10.1016/j.mex.2022.101717

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