Horseman, Samantha, Al Dhubaid, Khalid, Sall, Macodou, and Antony, Amalraj (2014) A Predictive Model for Measuring Workforce Health Risk Migration. In: [Presented at the 11th Annual Professional Development Conference of the Middle East Chapter of the American Society of Safety Engineers]. From: ASSE-MEC : 11th Professional Development Conference & Exhibition, 16-20 March 2014, Manama, Bahrain.

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Abstract

This conference paper presents a predictive modelling approach for measuring workforce health risk migration within large organizations. The model examines how health risks evolve over time across employee populations, incorporating health indicators, behavioural factors, and organizational variables to support proactive health management. By applying health and productivity management principles, the approach enables early identification of risk trends and supports targeted intervention strategies aimed at keeping healthy populations healthy while reducing long‑term productivity loss.

Item ID:	91105
Item Type:	Conference Item (Presentation)
Keywords:	Predictive modelling; workforce health; health risk assessment; population health; health and productivity management; occupational health; risk migration; preventive health strategies; organizational health; ASSE
Copyright Information:	© 2014 The authors. This conference paper was presented at the ASSE Middle East Chapter Professional Development Conference & Exhibition and is made available for research and educational use.
Additional Information:	This conference paper presents a predictive modelling approach for measuring workforce health risk migration within large organizations. The model examines how health risks evolve over time across employee populations, incorporating health indicators, behavioural factors, and organizational variables to support proactive health management. By applying health and productivity management principles, the approach enables early identification of risk trends and supports targeted intervention strategies aimed at keeping healthy populations healthy while reducing long‑term productivity loss.
Date Deposited:	13 Apr 2026 22:42
FoR Codes:	35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3503 Business systems in context > 350301 Business analytics @ 50% 39 EDUCATION > 3904 Specialist studies in education > 390408 Learning analytics @ 50%
SEO Codes:	15 ECONOMIC FRAMEWORK > 1599 Other economic framework > 159999 Other economic framework not elsewhere classified @ 50% 20 HEALTH > 2005 Specific population health (excl. Indigenous health) > 200599 Specific population health (excl. Indigenous health) not elsewhere classified @ 50%
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