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2020 – today
- 2022
[c6]Daniela Perrotta, Sarah C. Johnson, Tom Theile, André Grow, Helga de Valk, Emilio Zagheni:
Openness to Migrate Internationally for a Job: Evidence from LinkedIn Data in Europe. ICWSM 2022: 759-769- 2021
- [j3]Daniela Perrotta
, André Grow, Francesco Rampazzo, Jorge Cimentada, Emanuele Del Fava, Sofia Gil-Clavel, Emilio Zagheni:
Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey. EPJ Data Sci. 10(1): 17 (2021) - [c5]Daniela Perrotta, Emanuele Del Fava, Emilio Zagheni:
The Role of Vulnerability in Mediating the Relationship between Threat Perception and the Use of Face Masks in the Context of COVID-19. ICWSM Workshops 2021 - 2020
- [j2]Nicolò Gozzi, Daniela Perrotta, Daniela Paolotti, Nicola Perra:
Towards a data-driven characterization of behavioral changes induced by the seasonal flu. PLoS Comput. Biol. 16(5) (2020) - [i1]Nicolò Gozzi, Daniela Perrotta, Daniela Paolotti, Nicola Perra:
Towards a data-driven characterization of behavioral changes induced by the seasonal flu. CoRR abs/2002.00671 (2020)
2010 – 2019
- 2019
- [j1]Kyriaki Kalimeri, Matteo Delfino, Ciro Cattuto, Daniela Perrotta, Vittoria Colizza, Caroline Guerrisi, Clément Turbelin, Jim Duggan, John Edmunds, Chinelo Obi, Richard Pebody, Ana O. Franco, Yamir Moreno, Sandro Meloni, Carl Koppeschaar, Charlotte Kjelsø, Ricardo Mexia, Daniela Paolotti:
Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms. PLoS Comput. Biol. 15(4) (2019) - [c4]Daniela Perrotta, Dario Delle Vedove, Chinelo Obi, Richard Pebody, Rossano Schifanella, Daniela Paolotti:
Spatio-temporal Analysis of Flu-related Drugs Uptake in an Online Cohort in England. PDH 2019: 111-118 - 2017
- [c3]Daniela Perrotta, Michele Tizzoni, Daniela Paolotti:
Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy. WWW 2017: 303-310 - [c2]Qian Zhang, Nicola Perra, Daniela Perrotta, Michele Tizzoni, Daniela Paolotti, Alessandro Vespignani:
Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model. WWW 2017: 311-319 - 2015
- [c1]Qian Zhang, Corrado Gioannini, Daniela Paolotti, Nicola Perra, Daniela Perrotta, Marco Quaggiotto, Michele Tizzoni, Alessandro Vespignani:
Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform. ECML/PKDD (3) 2015: 237-240
Coauthor Index
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