COVID-19 Global Humanitarian Response Plan: An optimal distribution model for high-priority countries.

Area of Science:

• Epidemiology
• Health Economics
• Mathematical Modeling

Background:

• The COVID-19 pandemic poses a significant threat to global health systems, particularly in fragile economies.
• International organizations are appealing for donor support to fund rapid response plans for affected countries.

Purpose of the Study:

• To develop a mathematical model for efficient and equitable distribution of urgent funds to high-priority countries during the COVID-19 pandemic.
• To optimize fund allocation based on epidemic size and country-specific needs.

Main Methods:

• Epidemiological models were used to predict final epidemic sizes in target countries.
• Urgent requirements were estimated based on epidemic size and other factors, in parallel with humanitarian response plans.
• A multi-objective optimization model was developed to maximize donor funds and minimize unmet demands through fair distribution.

Main Results:

• Predictions for basic reproduction numbers and final epidemic sizes were calculated for all target countries.
• Estimated urgent requirements and those from humanitarian response plans were considered.
• A response plan for the distribution network was demonstrated, requiring over $2.6 billion in donor funds to meet at least 40% of each country's needs.

Conclusions:

• Rapid donor response to humanitarian appeals is crucial for immediate and fair distribution of relief supplies.
• Effective fund distribution can support health systems, curb COVID-19 spread, and prevent catastrophic outcomes in vulnerable nations.