Authors: Hieu Bui, Sandra Eksioglu, Ruben Proano, Haoming Shen

Published on: May 09, 2024

Impact Score: 8.0

Arxiv code: Arxiv:2405.05487

Summary

• What is new: A novel modeling framework that incorporates vaccine hesitancy into public health decision-making and emergency resource allocation.
• Why this is important: Vaccine hesitancy adds complexity to predicting disease spread and planning healthcare resource allocation.
• What the research proposes: A multi-stage stochastic program integrated with an epidemiological compartmental model to adaptively manage healthcare resources considering vaccine hesitancy.
• Results: Delaying ventilator deployment increases expected deaths; additional ventilators significantly reduce deaths; equitable resource distribution’s cost varies by time and location.

Technical Details

Technological frameworks used: Multi-stage stochastic program integrated with an epidemiological compartmental model

Models used: Compartmental MSP model

Data used: Real COVID-19 vaccination and healthcare resource data from Arkansas, U.S. (January-May 2021)

Potential Impact

Healthcare resource manufacturing and distribution, Public health decision-making organizations, and Health policy makers could benefit or need to adapt.

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