Arbeitsbereich

Bevölkerungsdynamik und Nachhaltiges Wohlbefinden

Auf einen Blick Projekte Publikationen Team

Projekt

The Interplay Between Population and Infectious Disease Dynamics

Daniela Perrotta, Jordan Klein, Emanuele Del Fava; in Zusammenarbeit mit Alessia Melegaro (Bocconi University, Milan, Italien), Daniela Paolotti (ISI Foundation, Institute for Scientific Interchange, Torino, Italien)

We combine digital trace data and large-scale survey data with classic data sources within statistical and mechanistic models to investigate the social and behavioral responses to disease outbreaks and their relationships with population dynamics.  Ausführliche Beschreibung

Decrease of excess mortality rates in London following reductions in human mobility during the early phase of the COVID-19 pandemic. 

The relationship between excess mortality and changes in human mobility (left) reveals the projected estimates of deaths saved (right) in London thanks to the public health interventions enforced during the first wave of the COVID-19 pandemic in 2020. © Basellini, U.; Alburez-Gutierrez, D.; Del Fava, E.; Perrotta, D.; Bonetti, M.; Camarda, C. G.; Zagheni, E. Linking excess mortality to mobility data during the ?rst wave of COVID-19 in England and Wales SSM-Population Health 14, 1–18. (2021)

Publikationen

Leone P., L.; Counil, E.; Perrotta, D.:

Family echo chambers and COVID-19 vaccine uptake: longitudinal evidence from the UK

MPIDR Working Paper WP-2026-028. (2026)    

Klein, J. D.:

A mechanistic framework for modeling social gradients in emerging infectious disease mortality: evidence from Brazil

medRxiv preprints. unpublished. (2025)    

De Gaetano, A.; Bajardi, P.; Gozzi, N.; Perra, N.; Perrotta, D.; Paolotti, D.:

Behavioral changes associated to the COVID-19 vaccination: evidence from a cross-national online survey

JMIR preprints 47563. unpublished. (2023)    

De Gaetano, A.; Bajardi, P.; Gozzi, N.; Perra, N.; Perrotta, D.; Paolotti, D.:

Behavioral changes associated with COVID-19 vaccination: cross-national online survey

Journal of Medical Internet Research 25, e47563–e47563. (2023)    

Perrotta, D.; Frias-Martinez, E.; Pastore y Piontti, A.; Zhang, Q.; Luengo-Oroz, M.; Paolotti, D.; Tizzoni, M.; Vespignani, A.:

Comparing sources of mobility for modelling the epidemic spread of Zika virus in Colombia

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.:

Linking excess mortality to mobility data during the first wave of COVID-19 in England and Wales

SSM-Population Health 14:100799, 1–18. (2021)    

Del Fava, E.; Adema, I.; Kiti, M. C.; Poletti, P.; Merler, S.; Nokes, D. J.; Manfredi, P.; Melegaro, A.:

Individual’s daily behaviour and intergenerational mixing in different social contexts of Kenya

medRxiv preprints. unpublished. (2021)    

Del Fava, E.; Adema, I.; Kiti, M. C.; Poletti, P.; Merler, S.; Nokes, D. J.; Manfredi, P.; Melegaro, A.:

Individual’s daily behaviour and intergenerational mixing in different social contexts of Kenya

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.:

Comparing sources of mobility for modelling the epidemic spread of Zika virus in Colombia

medRxiv preprints. unpublished. (2021)    

Gozzi, N.; Perrotta, D.; Paolotti, D.; Perra, N.:

Towards a data-driven characterization of behavioral changes induced by the seasonal flu

PLOS Computational Biology 16:5, e1007879–e1007879. (2020)