Author: Gouglas, Dimitrios; Marsh, Kevin
Title: Prioritizing investments in new vaccines against epidemic infectious diseases: A multiâ€criteria decision analysis Cord-id: d9rlu0ym Document date: 2019_7_1
ID: d9rlu0ym
Snippet: BACKGROUND: In 2016, the Coalition for Epidemic Preparedness Innovations (CEPI) launched a call for proposals (CfP) for vaccine development against Lassa, MERS, and Nipah. CEPI is faced with complex decisions that involve confronting tradeâ€offs between multiple objectives, diverse stakeholder perspectives, and uncertainty in vaccine performance. OBJECTIVE: This study reports on a multiâ€criteria decision analysis (MCDA) and its testing on CEPI decisions. METHODS: Consultations with CEPI's Sci
Document: BACKGROUND: In 2016, the Coalition for Epidemic Preparedness Innovations (CEPI) launched a call for proposals (CfP) for vaccine development against Lassa, MERS, and Nipah. CEPI is faced with complex decisions that involve confronting tradeâ€offs between multiple objectives, diverse stakeholder perspectives, and uncertainty in vaccine performance. OBJECTIVE: This study reports on a multiâ€criteria decision analysis (MCDA) and its testing on CEPI decisions. METHODS: Consultations with CEPI's Scientific Advisory Committee (SAC) and document reviews helped identify and structure the criteria against which to evaluate proposals. Forty four subjectâ€matter experts assessed performance of 18 proposals on multiple criteria. SAC preferences were elicited via a survey employing an adapted swingâ€weighting technique and were incorporated into measures of value and costâ€toâ€value. A Monte Carlo simulation estimated overall value and ranking probabilities by value and by costâ€toâ€value for each proposal. RESULTS: Reviewer assessments and SAC preferences varied significantly. Despite this uncertainty, 14 preferred proposals emerged from the analysis and SAC recommendations on the basis of value and costâ€toâ€value. In some cases, SAC recommendations deviated from the analysis because of: less emphasis on costâ€toâ€value if budgets seemed underestimated by applicants, more emphasis on the likelihood of generating vaccines for target pathogens versus platform potential against unknown pathogens, and emphasis on funding a diversity of platforms per pathogen. CONCLUSIONS: Despite vaccine performance uncertainty and stakeholder preference heterogeneity, MCDA distinguished between options in a way that broadly corresponded to decisions. Divergence between the MCDA and the SAC point to potential updates needed to the model such as platform diversity tradeâ€offs.
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