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Decision-Tree Model for Support of Health Policy Choices Based on Pneumococcal Conjugate Vaccine (PCV) Program Outcomes
Andre Cohen, Casimir A. Kulikowski, Timothy Elbert, Samantha Clark, Dagna Constenla, Anushua Sinha
40 - 44
10.3233/978-1-61499-830-3-40
Studies in Health Technology and Informatics
Volume 245: MEDINFO 2017: Precision Healthcare through Informatics
Abstract

Pneumococcal Conjugate Vaccine (PCV) has the potential to save lives in low-income countries. We have developed a computational model and web-based decision support software for comparing cost-benefit tradeoffs from alternative PCV program designs, considering their direct and indirect effects on early childhood populations in resource-poor settings. This supports policy-makers in estimating potential health outcomes and cost-effectiveness of different vaccination program strategies for a wide range of population coverage and vaccine effectiveness assumptions.

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