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Associate Professor Elisa Long’s research integrates epidemiological modeling, economic analysis and decision making under uncertainty, with the aim of assessing the value of health interventions to help policymakers allocate limited resources most effectively. She has constructed mathematical models to simulate HIV epidemics in Russia, India, South Africa, Ghana and the United States, with the goal of identifying what combination of investments maximizes “bang for the buck.”
Long’s research on the cost-effectiveness of HIV screening was cited by the U.S. Centers for Disease Control and Prevention in their revised recommendations for increased screening of high-risk individuals. She recently published a study that optimizes resource allocation for emerging epidemics, and examined the 2014-2015 Ebola outbreak in West Africa to determine which regions should receive treatment priority (to appear in Manufacturing & Service Operations Management).
Long’s research on the cost-effectiveness of HIV screening was cited by the U.S. Centers for Disease Control and Prevention in their revised recommendations for increased screening of high-risk individuals. She recently published a study that optimizes resource allocation for emerging epidemics, and examined the 2014-2015 Ebola outbreak in West Africa to determine which regions should receive treatment priority (to appear in Manufacturing & Service Operations Management).
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European Journal of Operational Researchno. 3 (2023): 1036-1051
Social Science Research Network (2022)
Decision Analysisno. 4 (2022): 255-264
medRxiv (Cold Spring Harbor Laboratory) (2020)
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