Laboratory

Digital and Computational Demography

At a Glance Projects Publications Team

Project

Computational, Formal, and Behavioral Modeling of Infectious Disease Dynamics

Emanuele Del Fava, Daniela Perrotta

We develop formal models to understand the long term-consequences of demographic change on disease dynamics and we leverage digital technologies to timely monitor and understand the social and behavioral responses to disease outbreaks.  Detailed Description

Research Keywords:

Data and Surveys, Health Care, Public Health, Medicine, and Epidemiology

Region keywords:

World

Publications

Perrotta, D.; Frias-Martinez, E.; Pastore y Piontti, A.; Zhang, Q.; Luengo-Oroz, M.; Paolotti, D.; Tizzoni, M.; Vespignani, A.:
PLOS Neglected Tropical Diseases 16:7, e0010565–e0010565. (2022)    
Basellini, U.; Alburez-Gutierrez, D.; Del Fava, E.; Perrotta, D.; Bonetti, M.; Camarda, C. G.; Zagheni, E.:
SSM-Population Health 14, 1–18. (2021)    
Del Fava, E.; Adema, I.; Kiti, M. C.; Poletti, P.; Merler, S.; Nokes, D. J.; Manfredi, P.; Melegaro, A.:
medRxiv preprints. unpublished. (2021)    
Del Fava, E.; Adema, I.; Kiti, M. C.; Poletti, P.; Merler, S.; Nokes, D. J.; Manfredi, P.; Melegaro, A.:
Scientific Reports 11:21589, 1–13. (2021)    
Perrotta, D.; Frias-Martinez, E.; Pastore y Piontti, A.; Zhang, Q.; Luengo-Oroz, M.; Paolotti, D.; Tizzoni, M.; Vespignani, A.:
medRxiv preprints. unpublished. (2021)    
Gozzi, N.; Perrotta, D.; Paolotti, D.; Perra, N.:
PloS Computational Biology 16:5, e1007879–e1007879. (2020)    
Del Fava, E.; Shkedy, Z.:
In: Handbook of infectious disease data analysis, 1–24. New York: Taylor & Francis Group. (2019)
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.