Development of Tuberculosis Vulnerability Assessment Conceptual Framework Using Automatic Content Analysis
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Hinchcliff, R
Hasibuan, ZA
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Mantas, John
Gallos, Parisis
Zoulias, Emmanouil
Hasman, Arie
Househ, Mowafa S
Charalampidou, Martha
Magdalinou, Andriana
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Abstract
The tuberculosis prevention and control model needs to be explored. This study aimed to create a conceptual framework for measuring TB vulnerability to guide the prevention program’s effectiveness. SLR method was employed, resulting in 1.060 articles being analyzed with ACA Leximancer 5.0 and facet analysis. The built framework consists of five components: risk of TB transmission, damage caused by TB, health care facility, the burden of TB, and awareness of TB. Future research is required to explore variables in each component to formulate the degree of TB vulnerability.
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Healthcare Transformation with Informatics and Artificial Intelligence
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305
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© 2023 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
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Subject
Epidemiology
Respiratory diseases
Disease surveillance
Health services and systems
Applied computing
Automatic content analysis
Tuberculosis
automatic knowledge
facet analysis
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Handayani, S; Hinchcliff, R; Hasibuan, ZA, Development of Tuberculosis Vulnerability Assessment Conceptual Framework Using Automatic Content Analysis, Healthcare Transformation with Informatics and Artificial Intelligence, 2023, pp. 220-223