Research Scientist

Emanuele Del Fava

Laboratory of Digital and Computational Demography

orcid.org

I am a quantitative researcher with a Ph.D. in statistics, with a highly multidisciplinary research perspective (biostatistics, epidemiology, demography, health economics) and interest in computational methods and data. My expertise is mainly in statistical modeling of infectious diseases data and international migration data.

Projects

Modelling International Migration Flows by Integrating Multiple Data Sources Projects details

MPIDR Publications

Del Fava, E.; Shkedy, Z.:
In: Handbook of infectious disease data analysis, 1–24. New York: Taylor & Francis Group. (2019)
Iozzi, F.; Trusiano, F.; Chinazzi, M.; Billari, F. C.; Zagheni, E.; Merler, S.; Ajelli, M.; Del Fava, E.; Manfredi, P.:
PloS Computational Biology 6:12, e1001021–e1001021. (2010)

Other Publications

Melegaro, A.; Marziano, V.; Del Fava, E.; Poletti, P.; Tirani, M.; Rizzo, C.; Merler, S.:
BMC Medicine 16: 117 (2018)
Melegaro, A.; Del Fava, E.; Poletti, P.; Merler, S.; Nyamukapa, C.; Williams, J.; Gregson, S.; Manfredi, P.:
PLoS ONE 12: e0170459 (2017)
Del Fava, E.; Piccarreta, R.; Gregson, S.; Melegaro, A.:
PLoS ONE 11: e0163730 (2016)
Del Fava, E.; Shkedy, Z.; Aregay, M.; Molenberghs, G.:
Statistical Modelling 14: 99-133 (2014)
Del Fava, E.; Shkedy, Z.; Bechini, A.; Bonanni, P.; Manfredi P.:
Epidemics 4: 124-131 (2012)

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The Max Planck Institute for Demographic Research (MPIDR) in Rostock is one of the leading demographic research centers in the world. It's part of the Max Planck Society, the internationally renowned German research society.