2008
DOI: 10.1007/s10729-008-9074-7
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Optimal investment in HIV prevention programs: more is not always better

Abstract: This paper develops a mathematical/economic framework to address the following question: Given a particular population, a specific HIV prevention program, and a fixed amount of funds that could be invested in the program, how much money should be invested? We consider the impact of investment in a prevention program on the HIV sufficient contact rate (defined via production functions that describe the change in the sufficient contact rate as a function of expenditure on a prevention program), and the impact of… Show more

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Cited by 33 publications
(29 citation statements)
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“…Given the complexity of the biological, behavioral, and epidemiological factors, modeling-informed policy serves to convey achievements, shortcomings, and challenges [10]. For the field, the outcomes of these and other statistical modeling research can offer extensive insight into policy modeling and inform policymakers.…”
Section: Introductionmentioning
confidence: 99%
“…Given the complexity of the biological, behavioral, and epidemiological factors, modeling-informed policy serves to convey achievements, shortcomings, and challenges [10]. For the field, the outcomes of these and other statistical modeling research can offer extensive insight into policy modeling and inform policymakers.…”
Section: Introductionmentioning
confidence: 99%
“…According to Marseille et al [45] the assumption of constant unit costs in the context of HIV prevention may result in substantial inaccuracies as they found compelling evidence that efficiency increased (unit costs decreased) with scale, across all countries and interventions examined. Brandeau et al [5] and Brandeau and Zaric [46], also discuss the issue of scale in HIV prevention programmes, pointing out that the relationship between investment in HIV prevention and HIV infections averted may not be linear, which indicates that increased spending on a prevention programme may not always be cost effective. Our choice of a VRS assumption is also consistent with the publication of Hollingsworth and Smith [47], which warns that when ratios are used, as is the case of the variable political stability, the BCC formulation [18] should be adopted.…”
Section: Data and Efficiency Resultsmentioning
confidence: 99%
“…In contrast to the tradition of developing isolated models of individual physiological or financial models of treatment options, systems, modeling and simulation techniques have increasingly been used to address broad health issues, including HIV prevention [1], obesity [7], and healthcare management [16].…”
Section: Discussionmentioning
confidence: 99%