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 E Clark, Dagna Constenla, Anushua Sinha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
PublisherIOS Press
Pages40-44
Number of pages5
ISBN (Electronic)9781614998297
DOIs
StatePublished - Jan 1 2017
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
CountryChina
CityHangzhou
Period8/21/178/25/17

Keywords

  • Conjugate vaccines
  • Decision support
  • Health policy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Fingerprint Dive into the research topics of 'Decision-tree model for support of health policy choices based on Pneumococcal Conjugate Vaccine (PCV) program outcomes'. Together they form a unique fingerprint.

Cite this