MODERN TECHNOLOGIES AND METHODS FOR HEALTH RISK ASSESSMENT IN VARIOUS SOCIO-AGE AND OCCUPATIONAL POPULATION GROUPS
- Authors
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Sattarova Zebo Rasulovna
2nd Issue Department of Public Health and Healthcare Management Tashkent State Medical University
Author
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- Keywords:
- Health risk assessment; modern technologies; socio-age groups; occupational exposure; epidemiological methods; public health
- Abstract
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Health risk assessment has become a key component of public health protection in the context of increasing environmental, occupational, and social determinants affecting population health. The present study is aimed at analyzing modern technologies and methodological approaches used for assessing health risks among different socio-age and occupational population groups. The research is based on a comprehensive evaluation of contemporary risk assessment frameworks, including epidemiological analysis, exposure modeling, biomonitoring, and digital health technologies. Particular attention is given to age-specific vulnerability, occupational exposure profiles, and social determinants that modify health risk patterns. The findings indicate that traditional risk assessment approaches are increasingly complemented by integrated models combining quantitative exposure assessment, biological markers, and data-driven analytical tools. Modern technologies, such as geographic information systems, big data analytics, and predictive modeling, significantly enhance the accuracy and applicability of health risk assessment across heterogeneous population groups. The results demonstrate that differentiated risk assessment strategies are essential for identifying high-risk populations and supporting targeted preventive interventions. The study highlights the importance of integrating technological innovations with classical hygienic and epidemiological methods to improve health risk management and evidence-based public health decision-making.
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- 2026-02-11
- Issue
- Vol. 2 No. 2 (2026)
- Section
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This work is licensed under a Creative Commons Attribution 4.0 International License.
