My research is based upon the development of Bayesian statistical methods with primary application to environmental and health data.
Current methodological research focuses on spatial and spatio-temporal statistics, time-series analysis, methods for the integration of multi-scale sources of data and models for understanding the health consequences of exposure to (multiple) pollutants and changes in climate.
et al., 2022, Regional excess mortality during the 2020 COVID-19 pandemic in five European countries, Nature Communications, ISSN:2041-1723
et al., 2021, Long-term exposure to air pollution and COVID-19 incidence: A multi-country study, Spatial and Spatio-temporal Epidemiology, Vol:39, ISSN:1877-5845, Pages:1-11
et al., 2021, Benefit of woodland and other natural environments for adolescents' cognition and mental health, Nature Sustainability, Vol:4, ISSN:2398-9629, Pages:851-+
et al., 2020, A flexible hierarchical framework for improving inference in area-referenced environmental health studies, Biometrical Journal: Journal of Mathematical Methods in Biosciences, Vol:62, ISSN:0323-3847, Pages:1650-1669
et al., 2020, Estimating weekly excess mortality at sub-national level in Italy during the COVID-19 pandemic, Plos One, Vol:15, ISSN:1932-6203