A data-driven optimization model to response to COVID-19 pandemic: a case study

A Eshkiti, F Sabouhi, A Bozorgi-Amiri - Annals of Operations Research, 2023 - Springer
COVID-19 is a highly prevalent disease that has led to numerous predicaments for
healthcare systems worldwide. Owing to the significant influx of patients and limited …

[HTML][HTML] Allocation of emergency medical resources for epidemic diseases considering the heterogeneity of epidemic areas

B Hu, G Jiang, X Yao, W Chen, T Yue, Q Zhao… - Frontiers in Public …, 2023 - frontiersin.org
Background The resources available to fight an epidemic are typically limited, and the time
and effort required to control it grow as the start date of the containment effort are delayed …

Emergency medical service planning considering dynamic and stochastic demands of infected and non-infected patients during epidemics

L Luo, Y Wang, P Jiang, M Zhuo… - Journal of the Operational …, 2024 - Taylor & Francis
During a large-scale epidemic, a local healthcare system can be overwhelmed by a large
number of infected and non-infected patients. To serve the infected and non-infected …

Deep reinforcement learning framework for controlling infectious disease outbreaks in the context of multi-jurisdictions

SN Khatami, C Gopalappa - medRxiv, 2022 - medrxiv.org
In the absence of pharmaceutical interventions, social distancing and lockdown have been
key options for controlling new or reemerging respiratory infectious disease outbreaks. The …

Allocation strategy of medical supplies during a public health emergency: a tripartite evolutionary game perspective

Y Yuan, L Du, L Luo, L Cui - Scientific reports, 2023 - nature.com
Ensuring the rational and orderly circulation of medical supplies during a public health
emergency is crucial to quickly containing the further spread of the epidemic and restoring …

Predictive modeling for epidemic outbreaks: A new approach and COVID-19 case study

J Chen, MC Fu, W Zhang, J Zheng - Asia-Pacific Journal of …, 2020 - World Scientific
Since the onset of the COVID-19 outbreak in Wuhan, China, numerous forecasting models
have been proposed to project the trajectory of coronavirus infection cases. Most of these …

Multi-objective reinforcement learning based healthcare expansion planning considering pandemic events

SS Shuvo, H Symum, MR Ahmed… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Hospital capacity expansion planning is critical for a healthcare authority, especially in
regions with a growing diverse population. Policymaking to this end often requires satisfying …

A dynamics model of the emergency medical supply chain in epidemic considering deprivation cost

W Shi, J He, M Wang, F Yang - Socio-Economic Planning Sciences, 2024 - Elsevier
Emergency medical supplies are the basic resources for epidemic prevention and reducing
disaster losses. If the supplies cannot be provided in time, the victims will suffer …

COVID-19 Supply Chain Planning: A Simulation-Optimization Approach

S Maghoulan, HM Ondemir… - 2022 Winter …, 2022 - ieeexplore.ieee.org
Healthcare providers' preparedness and response plans are crucial to effectively cope with
infectious disease outbreaks such as COVID-19. These plans need to provide strategic and …

Robust optimization model of anti-epidemic supply chain under technological innovation: learning from COVID-19

M Song, S Yuan, H Bo, J Song, X Pan, K Jin - Annals of Operations …, 2024 - Springer
The anti-epidemic supply chain plays an important role in the prevention and control of the
COVID-19 pandemic. Prior research has focused on studying the facility location, inventory …