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. 2017 Jan 20;35 Suppl 1(Suppl 1):A36-A42.
doi: 10.1016/j.vaccine.2016.11.033. Epub 2016 Dec 22.

A systems approach to vaccine decision making

Bruce Y Lee  1 , Leslie E Mueller  2 , Carla G Tilchin  2
Affiliations

A systems approach to vaccine decision making

Bruce Y Lee et al. Vaccine. .

Abstract

Vaccines reside in a complex multiscale system that includes biological, clinical, behavioral, social, operational, environmental, and economical relationships. Not accounting for these systems when making decisions about vaccines can result in changes that have little effect rather than solutions, lead to unsustainable solutions, miss indirect (e.g., secondary, tertiary, and beyond) effects, cause unintended consequences, and lead to wasted time, effort, and resources. Mathematical and computational modeling can help better understand and address complex systems by representing all or most of the components, relationships, and processes. Such models can serve as "virtual laboratories" to examine how a system operates and test the effects of different changes within the system. Here are ten lessons learned from using computational models to bring more of a systems approach to vaccine decision making: (i) traditional single measure approaches may overlook opportunities; (ii) there is complex interplay among many vaccine, population, and disease characteristics; (iii) accounting for perspective can identify synergies; (iv) the distribution system should not be overlooked; (v) target population choice can have secondary and tertiary effects; (vi) potentially overlooked characteristics can be important; (vii) characteristics of one vaccine can affect other vaccines; (viii) the broader impact of vaccines is complex; (ix) vaccine administration extends beyond the provider level; and (x) the value of vaccines is dynamic.

Keywords: Computational modeling; Decision making; Systems; Vaccines.

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Figures

Figure 1
Figure 1
Many lessons can be learned by using a systems approach to vaccine decision making
Figure 2
Figure 2
Cost per Norovirus case averted by vaccination with $25 vaccine cost and (a) 50% vaccine efficacy or (b) 75% vaccine efficacy
Figure 3
Figure 3
Average influenza vaccine availability across varying vaccination campaign time-frames and target population sizes
Figure 4
Figure 4
The effect of making multiple vaccines thermostable on the vaccine availabilities of all WHO EPI vaccines
Figure 5
Figure 5
Number of new influenza infections each day when two lowest-income counties experience vaccination delays of (a) 0 days, (b) 10 days, (c) 20 days, or (d) 30 days compared to other counties
See this image and copyright information in PMC

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