The thesis aims to analyze the health status of migrants who arrived in the province of Belluno and were managed by the ULSS 1 Dolomiti health authority in 2023, with particular attention to certain infectious diseases, including tuberculosis, scabies, and HBV virus infections. The descriptive analysis of demographic and clinical variables allowed for the profiling of the migrant population, highlighting how diseases are distributed in relation to demographic and socio-health factors. Subsequently, a logistic regression model was applied to investigate the associations between tuberculosis positivity and other variables present in the dataset.
La tesi vuole analizzare lo stato di salute dei migranti arrivati nella provincia di Belluno e gestiti dall’azienda ULSS 1 Dolomiti nel 2023, con particolare attenzione ad alcune malattie infettive, tra cui tubercolosi, scabbia e infezioni da virus HBV. L'analisi descrittiva delle variabili anagrafiche e cliniche ha permesso di delineare la popolazione migrante, evidenziando come sono distribuite le malattie in relazione a fattori demografici e socio-sanitari. Successivamente, è stato applicato un modello di regressione logistica per indagare le associazioni tra la positività alla tubercolosi e le altre variabili presenti nel dataset.
Stato di salute dei migranti in arrivo all’Ulss 1 Dolomiti nel 2023
VEDANA, ANGELA
2024/2025
Abstract
The thesis aims to analyze the health status of migrants who arrived in the province of Belluno and were managed by the ULSS 1 Dolomiti health authority in 2023, with particular attention to certain infectious diseases, including tuberculosis, scabies, and HBV virus infections. The descriptive analysis of demographic and clinical variables allowed for the profiling of the migrant population, highlighting how diseases are distributed in relation to demographic and socio-health factors. Subsequently, a logistic regression model was applied to investigate the associations between tuberculosis positivity and other variables present in the dataset.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/84156