Sorrounded by Malawian kids during my fieldwork in Chikwawa District, Malawi.
MRC Biostatistics Fellow
Lancaster Medical School
Faculty of Health and Medicine
Telephone: +44 (0)1524593519
Department Website: http://www.lancaster.ac.uk/shm/med/chicas
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 stargazing, cooking with my wife and reading books, especially those on the history and culture of foreign countries.
My favourite places in the UK, so far, are: Saint Bees (Cumbria), 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!
Since March 2016, I am a lecturer for the African Institute of Mathematical Sciences in Ghana and Tanzania, where I have been teaching courses on statistical modelling.
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.
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)
(2018). Giorgi, E. On the goodness-of-fit of generalized linear geostatistical models. Spatial Statistics. In press. Pre-print available at http://arxiv.org/abs/1801.04111 Deribe, K., Mbeng, A. A., Cano, J., Njouendo, A. J., Fru-Cho, J., Abong, R., Eyong, M. E., Ndongmo, P. W. C,
, Pigott, D. M., Golding, N. et al. (2017). Giorgi, E. Mapping the geographical distribution of podoconiosis in Cameroon using parasitological, serological, and clinical evidence to exclude other causes of lymphedema. PLOS Neglrected Tropical Diseases. 12(1): e0006126. Jary , H. R., Aston, S., Ho, A.,
, Kalata, N., Nyirenda, M., Mallewa, J., Peterson, I., Gordon, S. B., Mortimer, K. (2017). Giorgi, E. Wellcome Open Research, 2:103, doi: 10.12688/wellcomeopenres.12621.1 Household air pollution and pneumonia in Malawian adults: a case-control study. Henning, J.,
, Soares Magalhães, R. J., Tizzani, P., Viviani, P., Pejovic, N., Hrapović, M., Potzsch, C. (2017). Giorgi, E. Scientific Reports. 7, 14376; doi:10.1038/s41598-017-14615-2 Factors influencing the success of aerial rabies vaccination of foxes. Deribe, K., Cano, J.,
, Pigott, D., Golding, N., Pullan, R. L., Noor, A. M., Cromwell, E. A., et al.(2017). Giorgi, E. Wellcome Open Research, 2:78. doi: 10.12688/wellcomeopenres.12483.1 Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods. Sesay, S. S.,
, Diggle, P. J., Schellenberg, D., Lalloo, D. G., Terlouw, D. J. (2017). Giorgi, E. PLOS ONE 12(8): e0183330. https://doi.org/10.1371/journal.pone.0183330 Surveillance in easy to access population subgroups as a tool for evaluating malaria control progress: a systematic review. McCann, R. S., Messina, J. P, MacFarlane, D. W., Bayoh, M. N., Gimnig, J. E.,
, Walker, E. D. (2017). Giorgi, E. Malaria journal. 16:288, DOI:10.1186/s12936-017-1938-1 Explaining variation in adult Anopheles indoor resting abundance: the relative effects of larval habitat proximity and insecticide-treated bed net use.
, Schlüter, D. K., Diggle, P. J. Giorgi, E. Environmetrics. doi:10.1002/env.2447 Bivariate geostatistical modelling of the relationship between Loa loa prevalence and intensity of infection.
, Diggle, P. J. (2017). Giorgi, E. Journal of Statistical Software. 78:1-29, doi: 10.18637/jss.v078.i08 PrevMap: an R package for prevalence mapping. Stresman, G.,
, Baidjoe, A., Knight, P., Odongo, W., Owaga, C., Shagari, S., Makori, E.,
Stevenson, J., Drakeley, C., Cox, J., Bousema, T., Diggle, P. J. (2017). Giorgi, E. Scientific Reports. 7, 45849; doi: 10.1038/srep45849 Impact of metric, sample size and geostatistical methods on determining boundaries of hotspots of malaria.
, Kreppel, K., Diggle, P. J., Maherisoa, R., Minoarisoa, R., Caminade, C., Baylis, M. (2016). Giorgi, E. Spatial and Spatio-temporal Epidemiology. 19:125-135 Modelling of spatio-temporal variation in plague incidence in Madagascar from 1980 to 2007. Ediriweera, D. S., Kasturiratne, A., Pathmeswaran, A., Gunawardena, N. K., Wijayawickrama, B. A., Jayamanne, S. F., Isbister, G. K., Dawson, A.,
, Diggle, P. J., Lalloo, D. G., de Silva, H. J. (2016). Giorgi, E. PLOS Neglected Tropical Diseases. 10(7): e0004813. doi: 10.1371/journal.pntd.0004813
Mapping the Risk of Snakebite in Sri Lanka- A National Survey with Geospatial Analysis. Diggle, P. J.,
(2016). Giorgi, E. Model-based geostatistics for prevalence mapping in low-resource settings (with discussion). arXiv:1505.06891 Journal of the American Statistical Association. 111:1096-1120
, Diggle, P. J. (2014). Giorgi, E. Spatial statistics. 11:35-44 On the inverse geostatistical problem of inference on missing locations. arXiv:1409.3408
, Sesay, S. S., Terlouw, D. J., Diggle, P. J. (2014). Giorgi, E. Journal of the Royal Statistical Society, Series A. 178:445-464 Combining data from multiple spatially referenced prevalence surveys using generalized linear geostatistical models. arXiv:1308.2790
, McNeil, A. J. (2014). Giorgi, E. Computational Statistics and Data Analysis. 100:205-220 On the computation of multivariate scenario sets for the skew-t and generalized hyperbolic families. arXiv:1402.0686 Zoure, H. G. M., Noma, M., Tekle, A. H., Amazigo, U. V., Diggle, P. J.,
Remme, J. H. F. (2014). Giorgi, E. Parasites and Vectors. 7:326, doi:10.1186/1756-3305-7-326 The Geographic Distribution of Onchocerciasis in the 20 Participating
Countries of the African Programme for Onchocerciasis Control. Bosco, E., Marton, E., Feletti, A., Scarpa, B., Longatti, P., Zanatta, P.,
, Sorbara, C. (2011). Giorgi, E. Critical Care, 15:R170 Dynamic monitors of brain function: a new target in neurointensive care unit.
Invited comments, contributions and book reviews
Diggle, P. J.,
, 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. (2017). Giorgi, E. American Statistician. doi: 10.1080/00031305.2017.1322880
Review of "Spatial Point Patterns: Methodology and Applications with R". Diggle, P. J.,
(2016). Giorgi, E. Preferential sampling of exposure levels. In: Hanbook of Environmental and Ecological Statisics. Chapman & Hall/CRC Handbooks of Modern Statistical Methods. Diggle, P. J.,
(2014). Giorgi, E. The Lancet Infectious Diseases. 15:9-11 Geostatistical mapping of helminth infection rates.
Other invited publications
Giorgi, E. Career Highlights: Emanuele Giorgi on teaching in Africa. Significance. In press. , Bisanzio, D. (2017). Giorgi, E. The Conversation UK, 8 Sept 2017.
Why malaria is unlikely to return to Italy - despite a recent death from the disease.
PrevMap: an R package for both likelihood-based and Bayesian analysis of spatially referenced prevalence data. R code on the analysis of the lead pollution data from Galicia, northern Spain, in PrevMap.
click here Shiny application: Malaria mapping in Senegal from 1905 to 2014.
Workshops, Conferences and Seminars
Royal Statistical Society, 2017 International Conference. September 2017, Strathclyde University, Glasgow, UK.
Spatial Statistics Conference. July 2017, Lancaster University, Lancaster, UK.
Seminar. Disease mapping and visualization using spatio-temporally referenced prevalence data. May 2017, Stathclyde University, Glasgow, UK.
Seminar. Malaria, river-blindness and plague: three case-studies in spatial modelling of tropical diseases, April 2015, London School of Hygiene and Tropical Medicine, London, UK. (
International Biometric Conference, July 2014, Florence, Italy.
Seminar. Combining data from multiple spatially referenced surveys using generalized linear geostatistical models, October 2013, Heriot-Watt University, Edinburgh, UK.
Seminar. Combining data from multiple spatially referenced surveys using generalized linear geostatistical models, November 2013, Univeristy of Leeds, Leeds, UK.
Seminar. Combining data from multiple spatially referenced surveys using generalized linear geostatistical models, June 2014, Warwick Univeristy, Coventry, UK.
GEOMED2013, September 2013, The University of Sheffield, Sheffield, UK.
Memorable moments from IBC, Florence, July 2014
While being awarded the Young Statisticians' Showcase by David R. Cox.
Exchange of hat and prize.
Last Modified: 10 October 2017