@inproceedings{6f8adba9966c40cb8b3dfa0a3feb5791,
title = "Decision-tree model for support of health policy choices based on Pneumococcal Conjugate Vaccine (PCV) program outcomes",
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.",
keywords = "Conjugate vaccines, Decision support, Health policy",
author = "Andre Cohen and Kulikowski, {Casimir A.} and Timothy Elbert and Clark, {Samantha E} and Dagna Constenla and Anushua Sinha",
year = "2017",
month = jan,
day = "1",
doi = "10.3233/978-1-61499-830-3-40",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "40--44",
booktitle = "MEDINFO 2017",
note = "16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 ; Conference date: 21-08-2017 Through 25-08-2017",
}