A computational algorithm associated with patient progress modelling

S. Gallivan; M. Utley; M. Jit; C. Pagel

doi:10.1007/s10287-006-0024-x

A computational algorithm associated with patient progress modelling

S. Gallivan, M. Utley, M. Jit, C. Pagel

Global Public Health

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

Abstract

Patient progress modelling, which was first introduced to provide an alternative to traditional randomised control trials, has now been used in numerous contexts including evaluation of screening programmes and assessment of the public health impact of large scale developments such as waste disposal incinerators. The method uses stochastic compartmental models whose solutions may depend on solving large sets of matrix differential equations. Although specialist software packages are available for this purpose, we propose an alternative method for deriving the solution to such equations that is simple to implement.

Original language	English (US)
Pages (from-to)	283-299
Number of pages	17
Journal	Computational Management Science
Volume	4
Issue number	3
DOIs	https://doi.org/10.1007/s10287-006-0024-x
State	Published - Jul 2007

Keywords

Compartmental model
Differential equations
Health impact assessment
Mathematical model
Patient progress model

ASJC Scopus subject areas

Management Information Systems
Information Systems

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10.1007/s10287-006-0024-x

Cite this

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KW - Health impact assessment

KW - Mathematical model

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A computational algorithm associated with patient progress modelling

Abstract

Keywords

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