Usefulness of open data to determine the incidence of COVID-19 and its relationship with atmospheric variables in Spain during the 2020 lockdown
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DOI: 10.1016/j.techfore.2022.122108
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- Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
- Simionescu, Mihaela & Raišienė, Agota Giedrė, 2021. "A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Miranda, L.C.M. & Devezas, Tessaleno, 2022. "On the global time evolution of the Covid-19 pandemic: Logistic modeling," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Sahoo, Bijay Kumar & Sapra, Balvinder Kaur, 2020. "A data driven epidemic model to analyse the lockdown effect and predict the course of COVID-19 progress in India," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
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Keywords
COVID-19; Incidence; Atmospheric variables; Lockdown; Confinement; Open data;All these keywords.
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