Bivariate Distributed Lag Models for the analysis of temperature-by-pollutant interaction effect on mortality.

Risultato della ricerca: Articlepeer review

6 Citazioni (Scopus)

Abstract

This paper introduces Bivariate Distributed Lags Models (BDLMs) to investigate synergic effect of temperature and airborne particles on mortality. These models seem particulary attractive since they allow to model interactions between such environmental variables accounting for possible delayed effects. A B-spline framework is used to approximate the coefficient surface of the temperature-by-pollutant interaction and possible alternatives are also discussed. A case study of mortality time-series data in Palermo, Italy, is presented to illustrate the model.
Lingua originaleEnglish
pagine (da-a)231-243
Numero di pagine13
RivistaEnvironmetrics
Volume18
Stato di pubblicazionePublished - 2007

All Science Journal Classification (ASJC) codes

  • ???subjectarea.asjc.2300.2300???
  • ???subjectarea.asjc.2300.2304???
  • ???subjectarea.asjc.2600.2613???
  • ???subjectarea.asjc.2300.2302???

Fingerprint

Entra nei temi di ricerca di 'Bivariate Distributed Lag Models for the analysis of temperature-by-pollutant interaction effect on mortality.'. Insieme formano una fingerprint unica.

Cita questo