Comparison of detailed and succinct cohort modelling approaches in a multi-regional evaluation of cervical cancer vaccination

Donna Debicki; Nicole Ferko; Nadia Demarteau; Steve Gallivan; Chris Bauch; Andrea Anonychuk; Lorenzo Mantovani; Stefano Capri; Cheng Yang Chou; Baudouin Standaert; Lieven Annemans

doi:10.1016/j.vaccine.2008.02.040

Comparison of detailed and succinct cohort modelling approaches in a multi-regional evaluation of cervical cancer vaccination

Donna Debicki, Nicole Ferko, Nadia Demarteau, Steve Gallivan, Chris Bauch, Andrea Anonychuk, Lorenzo Mantovani, Stefano Capri, Cheng Yang Chou, Baudouin Standaert, Lieven Annemans

Department of Obstetrics Gynecology

Research output: Contribution to journal › Article › peer-review

39 Citations (Scopus)

Abstract

Mathematical models have been used extensively in the evaluation of chronic diseases and in exploring the health economics of vaccination. In this study, we examine the value of having two different cohort models based on similar assumptions, one comprehensive and one simplified, which can be used to evaluate the impact of cervical cancer vaccination. To compare models, we ran cost-effectiveness analyses in four geographical regions (Italy, the UK, Taiwan and Canada). We show that the models produce comparable results and therefore can be used independently. However, as they require different complexities of data inputs, they are more suited to different circumstances depending on the level of data inputs available or the complexity of the research question asked.

Original language	English
Pages (from-to)	F16-F28
Journal	Vaccine
Volume	26
Issue number	SUPPL.5
DOIs	https://doi.org/10.1016/j.vaccine.2008.02.040
Publication status	Published - 2008 Sept 15

All Science Journal Classification (ASJC) codes

Molecular Medicine
General Immunology and Microbiology
General Veterinary
Public Health, Environmental and Occupational Health
Infectious Diseases

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10.1016/j.vaccine.2008.02.040

Cite this

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abstract = "Mathematical models have been used extensively in the evaluation of chronic diseases and in exploring the health economics of vaccination. In this study, we examine the value of having two different cohort models based on similar assumptions, one comprehensive and one simplified, which can be used to evaluate the impact of cervical cancer vaccination. To compare models, we ran cost-effectiveness analyses in four geographical regions (Italy, the UK, Taiwan and Canada). We show that the models produce comparable results and therefore can be used independently. However, as they require different complexities of data inputs, they are more suited to different circumstances depending on the level of data inputs available or the complexity of the research question asked.",

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AU - Debicki, Donna

AU - Ferko, Nicole

AU - Demarteau, Nadia

AU - Gallivan, Steve

AU - Bauch, Chris

AU - Anonychuk, Andrea

AU - Mantovani, Lorenzo

AU - Capri, Stefano

AU - Chou, Cheng Yang

AU - Standaert, Baudouin

AU - Annemans, Lieven

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AB - Mathematical models have been used extensively in the evaluation of chronic diseases and in exploring the health economics of vaccination. In this study, we examine the value of having two different cohort models based on similar assumptions, one comprehensive and one simplified, which can be used to evaluate the impact of cervical cancer vaccination. To compare models, we ran cost-effectiveness analyses in four geographical regions (Italy, the UK, Taiwan and Canada). We show that the models produce comparable results and therefore can be used independently. However, as they require different complexities of data inputs, they are more suited to different circumstances depending on the level of data inputs available or the complexity of the research question asked.

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Comparison of detailed and succinct cohort modelling approaches in a multi-regional evaluation of cervical cancer vaccination

Abstract

All Science Journal Classification (ASJC) codes

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