Decision-Tree Model for Support of Health Policy Choices Based on Pneumococcal Conjugate Vaccine (PCV) Program Outcomes

摘要：

　　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.

关键词： Health Policy Conjugate Vaccines Decision Support

作者: Andre Cohen Casimir A.Kulikowski Timothy Elbert Samantha Clark Dagna Constenla Anushua Sinha

作者单位: Department of Computer Science,Rutgers-The State University of New Jersey,Piscataway,New Jersey,USA Department of International Health,Johns Hopkins Bloomberg School of Public Health,Baltimore,Marylan Merck Research Laboratories,Rahway,New Jersey,USA

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 40-44

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）