Data analytics during pandemics: a transportation and location planning perspective

DOI10.1007/s10479-022-04884-0zbMath1521.90012OpenAlexW4289261348MaRDI QIDQ6179174

Levent Eriskin, Mumtaz Karatas, Elif Bozkaya

Publication date: 5 September 2023

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-022-04884-0

zbMATH Keywords

transportationlocationpandemicCOVID-19data-driven analytics

Mathematics Subject Classification ID

Epidemiology (92D30) Transportation, logistics and supply chain management (90B06) Medical epidemiology (92C60)

Cites Work

• A new epidemics-logistics model: insights into controlling the Ebola virus disease in West Africa
• Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions
• A data-driven optimization approach for multi-period resource allocation in cholera outbreak control
• Influenza vaccine supply chain coordination under uncertain supply and demand
• Safe distancing in the time of COVID-19
• A large neighbourhood search metaheuristic for the contagious disease testing problem
• COVID-19 dynamics across the US: a deep learning study of human mobility and social behavior
• Optimal influenza vaccine distribution with equity

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