A data-driven optimization model to response to COVID-19 pandemic: a case study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-023-05320-7.pdf
Reference74 articles.
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2. Achaiah, N. C., Subbarajasetty, S. B., & Shetty, R. M. (2020). R0 and re of covid-19: Can we predict when the pandemic outbreak will be contained? Indian Journal of Critical Care Medicine, 24(11), 1125–1127. https://doi.org/10.5005/jp-journals-10071-23649
3. Aras, N., & Bilge, Ü. (2018). Robust supply chain network design with multi-products for a company in the food sector. Applied Mathematical Modelling, 60, 526–539. https://doi.org/10.1016/j.apm.2018.03.034
4. Arora, P., Kumar, H., & Panigrahi, B. K. (2020). Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India. Chaos, Solitons and Fractals. https://doi.org/10.1016/j.chaos.2020.110017
5. Asghari, M., Fathollahi-Fard, A. M., Mirzapour Al-E-Hashem, S. M. J., & Dulebenets, M. A. (2022). Transformation and linearization techniques in optimization: A state-of-the-art survey. Mathematics. https://doi.org/10.3390/MATH10020283
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