Understanding COVID-19 transmission through Bayesian probabilistic modeling and GIS-based Voronoi approach: a policy perspective
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DOI: 10.1007/s10668-020-00849-0
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- Sarra Jribi & Hanen Ben Ismail & Darine Doggui & Hajer Debbabi, 2020. "COVID-19 virus outbreak lockdown: What impacts on household food wastage?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 3939-3955, June.
- Chakraborty, Tanujit & Ghosh, Indrajit, 2020. "Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
- Sneha Gautam & Luc Hens, 2020. "SARS-CoV-2 pandemic in India: what might we expect?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 3867-3869, June.
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- Seyed Vahid Razavi-Termeh & Abolghasem Sadeghi-Niaraki & Farbod Farhangi & Soo-Mi Choi, 2021. "COVID-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms," IJERPH, MDPI, vol. 18(18), pages 1-21, September.
- Jiawei Xu & Yincai Tang, 2021. "Bayesian Framework for Multi-Wave COVID-19 Epidemic Analysis Using Empirical Vaccination Data," Mathematics, MDPI, vol. 10(1), pages 1-22, December.
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Keywords
COVID-19; SARS-CoV-2; Bayesian probability; Change point analysis; Voronoi diagram;All these keywords.
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