A Cost-Benefit Framework for Modeling Large-Scale Implementation of Counterfeit Medicine Technologies

Time

Mon, Jun 15 9:30AM
M 13

Title

A Cost-Benefit Framework for Modeling Large-Scale Implementation of Counterfeit Medicine Technologies

Abstract Summary

Expected outcome per detection test was calculated as a function of 9 parameters derived from the literature and expert estimates. Critical parameters were identified, and their ranges were split into incremental values and combined exhaustively for a total of 375 different scenarios being modeled.

Poster Presenter

Catherine Y. Liang
Student,
Cornell University
United States