Analytics for Resource Allocation in Pandemic Management

The COVID 19 pandemic highlighted the importance and difficulty of allocating scarce containment resources based on accurate predictions of disease spread. While extensive research has focused on descriptive and predictive analytics to support decision making, much less attention has been given to prescriptive analytics that connects pandemic forecasts with resource allocation decisions. This review examines existing analytics research and identifies future opportunities for more integrated approaches to pandemic resource management.