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

doi:10.3233/978-1-61499-432-9-288

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 proceeding › Conference 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 language	English
Title of host publication	e-Health - For Continuity of Care - Proceedings of MIE 2014
Editors	Louise Pape-Haugaard, Brigitte Seroussi Brigitte, Osman Saka, Christian Lovis, Arie Hasman, Stig Kjaer Andersen
Publisher	IOS Press
Pages	288-292
Number of pages	5
ISBN (Electronic)	9781614994312
DOIs	https://doi.org/10.3233/978-1-61499-432-9-288
Publication status	Published - 2014
Externally published	Yes
Event	25th European Medical Informatics Conference, MIE 2014 - Istanbul, Turkey Duration: Aug 31 2014 → Sept 3 2014

Publication series

Name	Studies in Health Technology and Informatics
Volume	205
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	25th European Medical Informatics Conference, MIE 2014
Country/Territory	Turkey
City	Istanbul
Period	8/31/14 → 9/3/14

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Health Informatics
Health Information Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3233/978-1-61499-432-9-288

Cite this

Rosen-Zvi, M., Shpigelman, L., Kalton, A., Weissbrod, O., Akindeinde, S., Benefeldt, S., Bentley, A., Everett, T., Jajinskiji, J., Kweyu, E., Neti, C., Saab, J., Stewart, O., Ward, M., & Xie, G. T. (2014). Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression. In L. Pape-Haugaard, B. Seroussi Brigitte, O. Saka, C. Lovis, A. Hasman, & S. K. Andersen (Eds.), e-Health - For Continuity of Care - Proceedings of MIE 2014 (pp. 288-292). (Studies in Health Technology and Informatics; Vol. 205). IOS Press. https://doi.org/10.3233/978-1-61499-432-9-288

Rosen-Zvi, Michal ; Shpigelman, Lavi ; Kalton, Alan et al. / Estimating the Impact of Prevention Action : A simulation Model of Cervical Cancer Progression. e-Health - For Continuity of Care - Proceedings of MIE 2014. editor / Louise Pape-Haugaard ; Brigitte Seroussi Brigitte ; Osman Saka ; Christian Lovis ; Arie Hasman ; Stig Kjaer Andersen. IOS Press, 2014. pp. 288-292 (Studies in Health Technology and Informatics).

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title = "Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2014 European Federation for Medical Informatics and IOS Press.; 25th European Medical Informatics Conference, MIE 2014 ; Conference date: 31-08-2014 Through 03-09-2014",

year = "2014",

doi = "10.3233/978-1-61499-432-9-288",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

pages = "288--292",

editor = "Louise Pape-Haugaard and {Seroussi Brigitte}, Brigitte and Osman Saka and Christian Lovis and Arie Hasman and Andersen, {Stig Kjaer}",

booktitle = "e-Health - For Continuity of Care - Proceedings of MIE 2014",

address = "Netherlands",

}

Rosen-Zvi, M, Shpigelman, L, Kalton, A, Weissbrod, O, Akindeinde, S, Benefeldt, S, Bentley, A, Everett, T, Jajinskiji, J, Kweyu, E, Neti, C, Saab, J, Stewart, O, Ward, M & Xie, GT 2014, Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression. in L Pape-Haugaard, B Seroussi Brigitte, O Saka, C Lovis, A Hasman & SK Andersen (eds), e-Health - For Continuity of Care - Proceedings of MIE 2014. Studies in Health Technology and Informatics, vol. 205, IOS Press, pp. 288-292, 25th European Medical Informatics Conference, MIE 2014, Istanbul, Turkey, 8/31/14. https://doi.org/10.3233/978-1-61499-432-9-288

Estimating the Impact of Prevention Action : A simulation Model of Cervical Cancer Progression. / Rosen-Zvi, Michal; Shpigelman, Lavi; Kalton, Alan et al.

e-Health - For Continuity of Care - Proceedings of MIE 2014. ed. / Louise Pape-Haugaard; Brigitte Seroussi Brigitte; Osman Saka; Christian Lovis; Arie Hasman; Stig Kjaer Andersen. IOS Press, 2014. p. 288-292 (Studies in Health Technology and Informatics; Vol. 205).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Estimating the Impact of Prevention Action

T2 - 25th European Medical Informatics Conference, MIE 2014

AU - Rosen-Zvi, Michal

AU - Shpigelman, Lavi

AU - Kalton, Alan

AU - Weissbrod, Omer

AU - Akindeinde, Saheed

AU - Benefeldt, Soren

AU - Bentley, Andrew

AU - Everett, Terry

AU - Jajinskiji, Joseph

AU - Kweyu, Emmanuel

AU - Neti, Chalapathy

AU - Saab, Joe

AU - Stewart, Osamuyimen

AU - Ward, Malcolm

AU - Xie, Guo Tong

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

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M3 - Conference contribution

C2 - 25160192

AN - SCOPUS:84929519993

T3 - Studies in Health Technology and Informatics

SP - 288

EP - 292

BT - e-Health - For Continuity of Care - Proceedings of MIE 2014

A2 - Pape-Haugaard, Louise

A2 - Seroussi Brigitte, Brigitte

A2 - Saka, Osman

A2 - Lovis, Christian

A2 - Hasman, Arie

A2 - Andersen, Stig Kjaer

PB - IOS Press

Y2 - 31 August 2014 through 3 September 2014

ER -

Rosen-Zvi M, Shpigelman L, Kalton A, Weissbrod O, Akindeinde S, Benefeldt S et al. Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression. In Pape-Haugaard L, Seroussi Brigitte B, Saka O, Lovis C, Hasman A, Andersen SK, editors, e-Health - For Continuity of Care - Proceedings of MIE 2014. IOS Press. 2014. p. 288-292. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-432-9-288

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

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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