2015
DOI: 10.1016/j.vaccine.2015.02.032
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Bridging the gap: Need for a data repository to support vaccine prioritization efforts

Abstract: As the mechanisms for discovery, development, and delivery of new vaccines become increasingly complex, strategic planning and priority setting have become ever more crucial. Traditional single value metrics such as disease burden or cost-effectiveness no longer suffice to rank vaccine candidates for development. The Institute of Medicine—in collaboration with the National Academy of Engineering—has developed a novel software system to support vaccine prioritization efforts. The Strategic Multi-Attribute Ranki… Show more

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Cited by 16 publications
(15 citation statements)
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“…It may be disappointing that the new tool does not generate one summary number that includes everything, which could be used for ranking different interventions and making an easy selection of the interventions based on that ranking [49]. It would be attractive to do so, but we prefer an evaluation to be more openly debatable.…”
Section: Discussionmentioning
confidence: 99%
“…It may be disappointing that the new tool does not generate one summary number that includes everything, which could be used for ranking different interventions and making an easy selection of the interventions based on that ranking [49]. It would be attractive to do so, but we prefer an evaluation to be more openly debatable.…”
Section: Discussionmentioning
confidence: 99%
“…These factors present unique challenges in defining the perspective, individual preferences versus effects of treatment of one person on unaffected persons (i.e., herd effects), and time horizon for a value framework. (39) Despite this complexity, the European guidelines for vaccine value assessment considers virtually all of the components in our taxonomy. (52) These guidelines explicitly address conflicts of interest: the developers excluded employees of drug or vaccine companies and required members to disclose potential conflicts.…”
Section: Value Taxonomymentioning
confidence: 99%
“…To implement SMART Vaccines for any particular population (its intended use), analysts must use data covering a wide range of issues-population demographics, disease burden data, and costs of treating each illness for which a candidate vaccine is evaluated [26]. SMART Vaccines has national population data built in for several dozen countries and limited disease burden data, but users must find or estimate numerous data elements to complete the model.…”
Section: Data Needsmentioning
confidence: 99%