Data Science against COVID-19: The Valencian Experience
By Nuria Oliver In this module, we explore the ELLIS Alicante Foundation’s Data-Science for COVID-19 team’s work in the Valencian region of Spain. The team was founded in response to the pandemic in March 2020 to assist policymakers in making informed, evidence-based decisions. The team tackles four different work areas: modeling human mobility, building computational epidemiological models, predictive models on the prevalence of the disease, and operating one of the largest online citizen surveys related to COVID-19 in the world. This lecture explains the four work streams and shares lessons learned from their work at the intersection between data, AI, and the pandemic.
Read, Watch, and Listen
- COVID-19 Impact Survey,
- Covid-19 Impact Survey Results,
- Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge, Lozano, M.A. et al. (2021). "Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge". In: Dong, Y., Kourtellis, N., Hammer, B., Lozano, J.A. (eds) Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. ECML PKDD 2021. Lecture Notes in Computer Science, vol 12978. Springer, Cham. https://doi.org/10.1007/978-3-030-86514-6_24
- The impact of control and mitigation strategies during the second wave of coronavirus infections in Spain and Italy, De Nadai, M., Roomp, K., Lepri, B. et al. "The impact of control and mitigation strategies during the second wave of coronavirus infections in Spain and Italy". Sci Rep 12, 1073 (2022). https://doi.org/10.1038/s41598-022-05041-0
- Using Data to Fight COVID-19 and Build Back Better, Letouzé, E., Oliver, N., Bravo, M.A., and Shoup, N.. "Using Data to Fight COVID-19 and Build Back Better.", Data Pop Alliance Paper Series No. 2, October 2020.
- Key factors affecting people’s unwillingness to be confined during the COVID-19 pandemic in Spain: a large-scale population study, Martinez-Garcia, M., Rabasa, A., Barber, X. et al. "Key factors affecting people’s unwillingness to be confined during the COVID-19 pandemic in Spain: a large-scale population study". Sci Rep 11, 18626 (2021). https://doi.org/10.1038/s41598-021-97645-1