A linear programming model for allocating HIV prevention funds with state agencies: A pilot study

  • Earnshaw S
  • Hicks K
  • Richter A
 et al. 
  • 37


    Mendeley users who have this article in their library.
  • 33


    Citations of this article.


Given the initiatives to improve resource allocation decisions for HIV prevention activities, a linear programming model was designed specifically for use by state and local decision-makers. A pilot study using information from the state of Florida was conducted and studied under a series of scenarios depicting the impact of common resource allocation constraints. Improvements over the past allocation strategy in the number of potential infections averted were observed in all scenarios with a maximal improvement of 73%. When allocating limited resources, policymakers must balance efficiency and equity. In this pilot study, the optimal allocation (i.e., most-efficient strategy) would not distribute resources in an equitable manner. Instead, only 12% of at-risk people would receive prevention funds. We find that less efficient strategies, where 58% fewer infections are averted, result in significantly more equitable allocations. This tool serves as a guide for allocating funds for prevention activities.

Author-supplied keywords

  • Economic model
  • Efficiency
  • Equity
  • Linear program
  • Prevention
  • Resource allocation
  • State funding decisions

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text


  • Stephanie R. Earnshaw

  • Katherine Hicks

  • Anke Richter

  • Amanda Honeycutt

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free