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. 2023 Aug 4;20(15):6521.
doi: 10.3390/ijerph20156521.

Socio-Economic Factors Associated with Ethnic Disparities in SARS-CoV-2 Infection and Hospitalization

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Socio-Economic Factors Associated with Ethnic Disparities in SARS-CoV-2 Infection and Hospitalization

Alessio Gili et al. Int J Environ Res Public Health. .

Abstract

Background: There is evidence that non-Italians presented higher incidence of infection and worse health outcomes if compared to native populations in the COVID-19 pandemic. The aim of the study was to compare Italian- and non-Italian-born health outcomes, accounting for socio-economic levels.

Methods: We analyzed data relative to 906,463 people in Umbria (Italy) from 21 February 2020 to 31 May 2021. We considered the National Deprivation Index, the Urban-Rural Municipalities Index and the Human Development Index (HDI) of the country of birth. We used a multilevel logistic regression model to explore the influence of these factors on SARS-CoV-2 infection and hospitalization rates. Diagnosis in the 48 h preceding admission was an indicator of late diagnosis among hospitalized cases.

Results: Overall, 54,448 persons tested positive (6%), and 9.7% of them were hospitalized. The risk of hospital admission was higher among non-Italians and was inversely related to the HDI of the country of birth. A diagnosis within 48 h before hospitalization was more frequent among non-Italians and correlated to the HDI level.

Conclusions: COVID-19 had unequal health outcomes among the population in Umbria. Reduced access to primary care services in the non-Italian group could explain our findings. Policies on immigrants' access to primary healthcare need to be improved.

Keywords: COVID-19; HDI; Italian; Umbria; deprivation index; hospitalization; non-Italians.

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Conflict of interest statement

The authors declare no conflict of interests.

Figures

Figure 1
Figure 1
Red outline = significantly higher than Italy; green = s ignificantly lower than Italy; blue = not significantly different from Italy. (a) Predicted probability of infection (*100,000 inhabitants); (b) Predicted probability of hospitalization (*100,000 inhabitants).

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