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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Human and organizational factors within the public sectors for the prevention and control of epidemic
Creator	Wang, Xueqing Wang, Dan Fu, Lipeng Griffin, Mark Li, Peixuan
Source	Elsevier; Medline; PMC
abstract	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.
has issue date	2020-07-29(xsd:dateTime)
bibo:doi	10.1016/j.ssci.2020.104929
bibo:pmid	32834517
has license	no-cc
sha1sum (hex)	c5ec447ac1753d18e7c89f349e99e7f45c463d64
schema:url	https://doi.org/10.1016/j.ssci.2020.104929
resource representing a document's title	Human and organizational factors within the public sectors for the prevention and control of epidemic
has PubMed Central identifier	PMC7388003
has PubMed identifier	32834517
schema:publication	Saf Sci
resource representing a document's body	covid:c5ec447ac1753d18e7c89f349e99e7f45c463d64#body_text
is schema:about of	named entity 'ANALYSIS' named entity 'RISK FACTORS' named entity 'PREDICT' named entity 'CONVERTED' named entity 'REGARD' named entity 'DIAGNOSE' named entity 'HYBRID' named entity 'METHODS' named entity 'HOFs' named entity 'Human Factors' named entity 'PCE' named entity 'public health' named entity 'COVID-19 outbreak' named entity 'HOFs' named entity 'HFACS' named entity 'PCE' named entity 'quantitative model' named entity 'human error' named entity 'COVID-19 virus' named entity 'CDC' named entity 'risk assessment' named entity 'vaccine' named entity 'incubation period' named entity 'infection' named entity 'HFACS' named entity 'CDC' named entity 'PCE' named entity 'epidemiological' named entity 'Lancet' named entity 'HOFs' named entity 'causality' named entity 'virus' named entity 'Research methods' named entity 'WHO' named entity 'risk factors' named entity 'Wuhan' named entity 'HFACS' named entity 'probability' named entity 'PCE' named entity 'PCE' named entity 'epidemic' named entity 'probability' named entity 'epidemic' named entity 'probability' named entity 'WHO' named entity 'decision-making' named entity 'CDC' named entity 'epidemic' named entity 'risk factors' named entity 'virus' named entity 'monitoring systems' named entity 'causality' named entity 'Epidemics' named entity 'Tianjin, China' named entity 'causality' named entity 'disaster management' named entity 'quantitative analysis' named entity 'safety protection' named entity 'quantitative methods' named entity 'HOFs' named entity 'HFACS' named entity 'PCE' named entity 'infection' named entity 'public health' named entity 'questionnaire' named entity 'pandemics' named entity 'epidemic' named entity 'HOFs' named entity 'HFACS' named entity 'quantitative analysis' named entity 'WHO' named entity 'evolution' named entity 'HFACS' named entity 'epidemic' named entity 'multi-agency' named entity 'Gertman' named entity 'sensitivity analysis'

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