Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression

Michal Rosen-Zvi, Lavi Shpigelman, Alan Kalton, Omer Weissbrod, Saheed Akindeinde, Soren Benefeldt, Andrew Bentley, Terry Everett, Joseph Jajinskiji, Emmanuel Kweyu, Chalapathy Neti, Joe Saab, Osamuyimen Stewart, Malcolm Ward, Guo Tong Xie

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

Abstract

Cervical cancer is one of the highest occurring cancers for women in East Africa. Many studies have shown that disease occurrences and particularly the number of deaths due to the disease can be reduced significantly by screening and vaccination. East Africa and Kenya in particular are undergoing change and taking actions to reduce disease levels. However, up until today disease level in the different districts in Kenya is not known nor what be the prevalence of disease when prevention actions take place. In this paper we propose a novel Bayesian model for estimating disease levels based on available partial reports and demographic information. The result is a simulation engine that provides estimations of the impact of various potential prevention actions.

Original languageEnglish
Title of host publicatione-Health - For Continuity of Care - Proceedings of MIE 2014
EditorsLouise Pape-Haugaard, Brigitte Seroussi Brigitte, Osman Saka, Christian Lovis, Arie Hasman, Stig Kjaer Andersen
PublisherIOS Press
Pages288-292
Number of pages5
ISBN (Electronic)9781614994312
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event25th European Medical Informatics Conference, MIE 2014 - Istanbul, Turkey
Duration: Aug 31 2014Sep 3 2014

Publication series

NameStudies in Health Technology and Informatics
Volume205
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference25th European Medical Informatics Conference, MIE 2014
Country/TerritoryTurkey
CityIstanbul
Period8/31/149/3/14

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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