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Review
. 2015 Jun 8;33 Suppl 2(0 2):B34-9.
doi: 10.1016/j.vaccine.2015.02.032.

Bridging the gap: need for a data repository to support vaccine prioritization efforts

Guruprasad Madhavan  1 , Charles Phelps  2 , Kinpritma Sangha  3 , Scott Levin  4 , Rino Rappuoli  5
Affiliations
Review

Bridging the gap: need for a data repository to support vaccine prioritization efforts

Guruprasad Madhavan et al. Vaccine. .

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 Ranking Tool for Vaccines-SMART Vaccines-allows decision makers to specify their own value structure, selecting from among 28 pre-defined and up to 7 user-defined attributes relevant to the ranking of vaccine candidates. Widespread use of SMART Vaccines will require compilation of a comprehensive data repository for numerous relevant populations-including their demographics, disease burdens and associated treatment costs, as well as characterizing performance features of potential or existing vaccines that might be created, improved, or deployed. While the software contains preloaded data for a modest number of populations, a large gap exists between the existing data and a comprehensive data repository necessary to make full use of SMART Vaccines. While some of these data exist in disparate sources and forms, constructing a data repository will require much new coordination and focus. Finding strategies to bridge the gap to a comprehensive data repository remains the most important task in bringing SMART Vaccines to full fruition, and to support strategic vaccine prioritization efforts in general.

Keywords: Decision making; Disease burden; Population data; Priority setting; Software tool; Vaccine development.

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Figures

Figure 1
Figure 1
Screenshot of the demographic data page in SMART Vaccines. Standard life table information along with productivity estimates are required as part of the definition of the population for which a vaccine is being developed.
Figure 2
Figure 2
Screenshot of the disease burden data page in SMART Vaccines. For the selected disease, information regarding annual incidence, case fatality rate, and other illness related data such as disutility, disability, and costs are required for analysis.
Figure 3
Figure 3
Screenshot of the vaccine characteristics entry page in SMART Vaccines. Vaccine product profile information—anticipated coverage, effectiveness, duration of immunity, number of doses, and their research, development, and administration costs are sought from the user.
See this image and copyright information in PMC

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