Imperial College London

DrMonicaPirani

Faculty of MedicineSchool of Public Health

Lecturer in Biostatistics
 
 
 
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Contact

 

+44 (0)20 7594 1177monica.pirani

 
 
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Location

 

526Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

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


Publications

Journals

Konstantinoudis G, Cameletti M, Gómez-Rubio, et al., 2022, Regional excess mortality during the 2020 COVID-19 pandemic in five European countries, Nature Communications, ISSN:2041-1723

Huang G, Blangiardo M, Brown PE, 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

Maes MJA, Pirani M, Booth ER, 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-+

Pirani M, Mason A, Hansell A, 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

Blangiardo M, Cameletti M, Pirani M, 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

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