Ph.D. in Statistics and Epidemiology, Lancaster University, UK. (October 2015)
MSc in Statistics, Universitá degli studi di Padova, Italy. (July 2012)
BSc in Statistics, Universitá degli studi di Padova, Italy. (April 2010)
I am an MRC Biostatistics Fellow in the CHICAS research group at the Lancaster Medical School.
I work at the interface between development of statistical methodology and epidemiological applications.
I formerly did my BSc and MSc in Statistics at the University of Padua, and then joined CHICAS in 2012 where I gained my Ph.D. in Statistics and Epidemiology.
I enjoy hiking, photography, reading books (especially those on contemporary history and philosophy of science) and many other things!
My favourite places in the UK are: Saint Bees, Haweswater, Liverpool (where I got married on 21 December 2015) and the Jurassic Coast in Dorset.
I am a citizen of the world but Lancaster is my home!
I am the Royal Statistical Society coordinator for the partnership with African Institute for Mathematical Sciences.
My reaserach interests lie in the development of novel geostatistical methods for disease risk mapping with a particular focus on tropical diseases in Africa.
Here is a list of topics on which I have been recently working.
Geostatistical modelling of zero-infalted prevalence data.
Geostatistical inference on missing locations.
Geostatistical modelling of prevalence data from multiple diagnostic procedures, with application to the mapping of lymphatic filarasis risk.
Combining data from multiple surveys with a mix of random and biased samples.
Integrated spatial analysis of exposures and risk at multiple spatial scales.
Spatio-temporal modelling of repeated cross-sectional prevalence surveys.
Royal Statistical Society Research Prize 2018, Award given for outstanding published contribution at the interface of
statistics and epidemiology, spanning the development of spatial statistical
methods, their application to a range of substantive
problems in global population health research and their implementation in
Young Investigator Award, First-tier Mention, American Society of Tropical Medicine. Award given for the work presented at the Annual Meeting 2014 in New Orleans (USA).
(Read more here - see my poster)
Macharia, P. M., Giorgi, E., Noor, A., Waqo, E., Kiptui, R., Okiro, E., Snow, R. (2018).Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya. Malaria journal. In press.
McCann, R. S., van den Berg, H., Takken, W., Chetwynd, A. G., Giorgi, E., Terlouw, D. J., Diggle, P. J. (2018). Reducing contamination risk in cluster-randomised infectious disease intervention trials. International Journal of Epidemiology. In press.
Giorgi, E., Diggle, P. J., Snow, R. W., Noor, A. M. (2018). Geostatistical methods for disease mapping and visualization using data from spatio-temporally referenced prevalence surveys.
International Statistical Review. In press. Pre-print available at https://arxiv.org/abs/1802.06359
Diggle, P. J.,Giorgi, E., Chipeta, M. G., MacFarlane, S. (2017). Keeping track of health outcomes in space and time: an introduction to spatial and spatio-temporal methods. In: The Palgrave Handbook on Global Health Data for Policy. Palgrave Macmillan.
Giorgi, E. Using a problem-driven approach for teaching statistics at the African Insti-
tute of Mathematical Sciences (invited paper). Proceedings of the 10th International Conference
on Teaching Statistics, Kyoto, Japan. In press.
Other invited publications
Giorgi, E. Career Highlights: Emanuele Giorgi on teaching in Africa. Significance. In press.