Combined analysis of health flow data assessment and local surveillance in industrial areas

<b>Objectives:</b> The approach was based on analysis of hospitalization data and contextual analysis of active health surveillance data, including questionnaires, blood chemistry analysis, spirometry and activation of a biobank.<br /> <b>Methods:</b> Hospitalization risk was calculated for respiratory, cardiovascular and oncological diseases. The health surveillance sample was analyzed by calculating cardiovascular risk, spirometry data and risk perception (questionnaire-based). All data (environmental and clinical) were georeferenced and analyzed using GIS software.<br /> <b>Results:</b> Hospitalization data showed an increase in hospital admissions for respiratory and cardiovascular diseases. However, this may be due to inappropriate admissions to the local facility, which lacks all medical departments but includes cardiology and pulmonology units. The hospitalization data showed a hospital-centered distribution.<br /> <b>Discussion:</b> The study also highlights the importance of considering socio-economic factors in environmental health research. Lower socio-economic status may exacerbate the health effects of pollution, making vulnerable populations more susceptible to adverse outcomes.

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Publication Details

Journal
Electronic Journal of General Medicine
Published
2025-09-16
DOI
https://doi.org/10.29333/ejgm/17047
Primary Topic
Air Quality and Health Impacts
Type
article
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article

Combined analysis of health flow data assessment and local surveillance in industrial areas

Mario Negrone, Michele Greco, Antonio Sinisgalli, Francesco Arbia
Electronic Journal of General Medicine
Air Quality and Health Impacts
article

Combined analysis of health flow data assessment and local surveillance in industrial areas

Mario Negrone, Michele Greco, Antonio Sinisgalli, Francesco Arbia
article en

Abstract

<b>Objectives:</b> The approach was based on analysis of hospitalization data and contextual analysis of active health surveillance data, including questionnaires, blood chemistry analysis, spirometry and activation of a biobank.<br /> <b>Methods:</b> Hospitalization risk was calculated for respiratory, cardiovascular and oncological diseases. The health surveillance sample was analyzed by calculating cardiovascular risk, spirometry data and risk perception (questionnaire-based). All data (environmental and clinical) were georeferenced and analyzed using GIS software.<br /> <b>Results:</b> Hospitalization data showed an increase in hospital admissions for respiratory and cardiovascular diseases. However, this may be due to inappropriate admissions to the local facility, which lacks all medical departments but includes cardiology and pulmonology units. The hospitalization data showed a hospital-centered distribution.<br /> <b>Discussion:</b> The study also highlights the importance of considering socio-economic factors in environmental health research. Lower socio-economic status may exacerbate the health effects of pollution, making vulnerable populations more susceptible to adverse outcomes.

Electronic Journal of General MedicineVol. 22(6)
University of Basilicata (IT), Education Authority (GB), University of Brescia (IT)
Openalex Percentile: Top 67%
Air Quality and Health Impacts
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