A Review of Epidemic Prediction and Control from a POM Perspective
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36115-9_65
Reference39 articles.
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2. Lu, X., Borgonovo, E.: Global sensitivity analysis in epidemiological modeling global sensitivity analysis in epidemiological modeling. Eur. J. Oper. Res. 304(1), 9–24 (2023)
3. Perakis, G., Singhvi, D., Lami, O.S., et al.: COVID-19: a multipeak SIR-based model for learning waves. Product. Oper. Manag. 32, 13681 (2022). https://doi.org/10.1111/poms.13681
4. Büyüktahtakın, I.E., des-Bordes, E., Kıbış, E.Y.: A new epidemics–logistics model: insights into controlling the Ebola virus disease in West Africa. Eur. J. Oper. Res. 265(3), 1046–1063 (2018)
5. He, Y., Liu, N.: Methodology of emergency medical logistics for public health emergencies. Transport. Res. E-Log 79, 178–200 (2015)
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