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    Human and organizational factors within the public sectors for the prevention and control of epidemic

    Access Status
    Fulltext not available
    Embargo Lift Date
    2023-07-30
    Authors
    Fu, L.
    Wang, X.
    Wang, D.
    Griffin, Mark
    Li, P.
    Date
    2020
    Type
    Journal Article
    
    Metadata
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    Citation
    Fu, L. and Wang, X. and Wang, D. and Griffin, M.A. and Li, P. 2020. Human and organizational factors within the public sectors for the prevention and control of epidemic. Safety Science. 131: Article No. 104929.
    Source Title
    Safety Science
    DOI
    10.1016/j.ssci.2020.104929
    ISSN
    0925-7535
    Faculty
    Faculty of Business and Law
    School
    Future of Work Institute
    URI
    http://hdl.handle.net/20.500.11937/80908
    Collection
    • Curtin Research Publications
    Abstract

    © 2020 Elsevier Ltd

    Pervasive human and organizational factors (HOFs) within the public sectors play a vital role in the prevention and control of epidemic (PCE). Insufficient analysis of HOFs has helped continue the use of flawed precautions. In this study, we attempted to establish a quantitative model to (a) clarify HOFs within the public sectors with regard to PCE, (b) predict the probability of relevant risk factors and an epidemic, and (c) diagnose the critical factors. First, we systematically identified 47 HOFs based on the Human Factors Analysis and Classification System (HFACS). We then converted the HFACS framework into a Bayesian Network (BN) after determining the causalities among these factors. Finally, we applied the hybrid HFACS-BN model to analyze the COVID-19 outbreak in China by virtue of its efficacy in probability prediction and diagnosis of key risk factors, and thus to test the feasibility of the model itself. This study contributes to a holistic analysis of HOFs within the public sectors with regard to PCE by providing a risk assessment model for epidemics or pandemics, and developing risk analysis methods for the public health field.

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