226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Imperial College LondonGB6 papers
- Université de LilleFR2 papers
- University of HelsinkiFI2 papers
- Aalto UniversityFI1 paper
- AGH University of KrakowPL1 paper
- Aix-Marseille UniversitéFR1 paper
- Barcelona Institute for Global HealthES1 paper
- Brunel University of LondonGB1 paper
- Centre d’Investigació i DesenvolupamentES1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro de Investigación Biomédica en Red de Epidemiología y Salud PúblicaES1 paper
- Centro de Investigación y DesarrolloES1 paper
6 papers
Offshoring Emissions through Used Vehicle Exports
S. J. Newman, K. Schulte, M. M. Morellini +2
Policies to reduce transport emissions often overlook the international flow of used vehicles. We quantify the rate at which used vehicles generated CO2 and pollution for all used…
State-of-the-Art Methods for Exposure-Health Studies: results from the Exposome Data Challenge Event
Léa Maitre, Jean-Baptiste Guimbaud, Charline Warembourg +7
The exposome recognizes that individuals are exposed simultaneously to a multitude of different environmental factors and takes a holistic approach to the discovery of etiological…
European Aerosol Phenomenology -- 8: Harmonised Source Apportionment of Organic Aerosol using 22 Year-long ACSM/AMS Datasets
Gang Chen, Francesco Canonaco, Anna Tobler +67
Organic aerosol (OA) is a key component to total submicron particulate matter (PM1), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM1 levels. Euro…
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…
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…
Multiple Output Regression with Latent Noise
Jussi Gillberg, Pekka Marttinen, Matti Pirinen +7
In high-dimensional data, structured noise caused by observed and unobserved factors affecting multiple target variables simultaneously, imposes a serious challenge for modeling, b…