activity
20162021
most citedA joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA

27 citations · 31 across the 4 of their papers we have counts for

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5 papers · 1 filter

stat.AP2021

School neighbourhood and compliance with WHO-recommended annual NO2 guideline: a case study of Greater London

Niloofar Shoari, Shahram Heydari, Marta Blangiardo

Despite several national and local policies towards cleaner air in England, many schools in London breach the WHO-recommended concentrations of air pollutants such as NO2 and PM2.5…

stat.AP202027 cited

A joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA

Chiara Forlani, Samir Bhatt, Michela Cameletti +2

In air pollution studies, dispersion models provide estimates of concentration at grid level covering the entire spatial domain, and are then calibrated against measurements from m…

stat.AP2020

A spatio-temporal model to understand forest fires causality in Europe

Oscar Rodriguez de Rivera, Antonio López-Quílez, Marta Blangiardo +1

Forest fires are the outcome of a complex interaction between environmental factors, topography and socioeconomic factors (Bedia et al, 2014). Therefore, understand causality and e…

stat.AP2018

A hierarchical modelling approach to assess multi pollutant effects in time-series studies

Marta Blangiardo, Monica Pirani, Lauren Kanapka +2

When assessing the short term effect of air pollution on health outcomes, it is common practice to consider one pollutant at a time, due to their high correlation. Multi pollutant…

stat.AP2016

Modelling collinear and spatially correlated data

Silvia Liverani, Aurore Lavigne, Marta Blangiardo

In this work we present a statistical approach to distinguish and interpret the complex relationship between several predictors and a response variable at the small area level, in…