eprintid: 550
rev_number: 12
eprint_status: archive
userid: 7
dir: disk0/00/00/05/50
datestamp: 2012-02-01 18:09:30
lastmod: 2015-05-29 20:10:24
status_changed: 2012-02-01 18:09:30
type: report
metadata_visibility: show
item_issues_count: 0
creators_name: Masinga, L.C.
creators_name: Sherwell, D.S.
creators_name: Myburgh, C.
title: HIV modelling in a labour force
ispublished: pub
subjects: medicine
subjects: social
studygroups: misgsa3
full_text_status: public
abstract: A section of the workforce employed by a certain company has been found to be HIV positive. Demographic, social and clinical data has been gathered by medical practitioners at the company's Wellness Centre for each patient from the time they were put in a wellness programme to monitor their health and fitness for placement in various work categories with different levels of labour intensity. The medical staff would like to know how the collected data can be used to determine critical indicators that a given patient is fit to go back to work in the same job, and for how long he can stay on that job. CART analysis software is used to investigate the problem. Among the variables in the data, mass and viral load are found to rank high in importance as determinants for making a decision on the fitness of the participants.
date: 2006
citation:   Masinga, L.C. and Sherwell, D.S. and Myburgh, C.  (2006) HIV modelling in a labour force.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/550/1/HIV-modelling-in-a-labour-force.pdf