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Digital and computational approaches to study determinants and consequences of the spread of COVID-19
What can Digital and Computational approaches reveal about the relationships between mortality, fertility, mobility, and the spread of COVID-19? Through focused lighting talks, an expert panel of computational scientists tackles issues that include running Facebook surveys to study reproductive health, behavioral change and trust, as well as using digital trace data to understand misinformation, patterns of spatial mobility and their impact on infections and on mortality.

Organised by the IUSSP Panel on Digital Demography

Format: lightning talks (6 minutes each, followed by general discussion and Q&A)

Moderator: Emilio Zagheni (Max Planck Institute for Demographic Research MPIDR)

Speakers and topics:

- Nadia Diamond-Smith (University of California at San Francisco) - Facebook Ads for panel data in the era of COVID-19: The gendered impacts of COVID-19 on reproductive health care access and use in India
- Jorge Cimentada (Max Planck Institute for Demographic Research-MPIDR) Can we trust social media surveys? Insights from a dynamic COVID survey
- Ridhi Kashyap (Oxford University) Reliance on scientists and experts during the COVID-19 outbreak in Italy
- Yelena Mejova (ISI Foundation) COVID-19 on Facebook Ads: Competing agendas around a public health crisis
- Michele Tizzoni (ISI Foundation) Measuring mobility changes in Italy during the COVID-19 outbreak with mobile phone data
- Ingmar Weber (Qatar Computing Research Institute (QCRI) Hamad Bin Khalifa University) Using live information from Google Maps to monitor mobility trends
- Ugofilippo Basellini (Max Planck Institute for Demographic Research-MPIDR) Leveraging Google Mobility Reports to assess the effects of non-pharmaceutical interventions on excess mortality in England and Wales
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