Litcius/Paper detail

Differences in the Prevalence of SARS-CoV-2 Infection and Access to Care between Italians and Non-Italians in a Social-Housing Neighbourhood of Milan, Italy

Gabriele Pagani, Federico Conti, Andrea Giacomelli, Letizia Oreni, Martina Beltrami, Laura Pezzati, Giacomo Casalini, Rossana Rondanin, Andrea Prina, Antonino Zagari, Stefano Rusconi, Massimo Galli

2021International Journal of Environmental Research and Public Health19 citationsDOIOpen Access PDF

Abstract

The northern Italian region of Lombardy has been severely affected by the COVID-19 pandemic since its arrival in Europe. However, there are only a few published studies of the possible influence of social and cultural factors on its prevalence in the general population. This cross-sectional study of the San Siro social-housing neighbourhood of Milan, which was carried about between 23 December 2020 and 19 February 2021, found that the prevalence of anti-SARS-CoV-2 nucleocapsid antibodies in the population as a whole was 12.4% (253/2044 inhabitants), but there was a more than two-fold difference between non-Italians and Italians (23.3% vs. 9.1%). Multivariable analyses showed that being more than 50 years old, living in crowded accommodation, being a non-Italian, and having a low educational level were associated with higher odds of a positive SARS-CoV-2 test, whereas a higher level of education, retirement, and being a former or current cigarette smoker were inversely associated with SARS-CoV-2 infection. Our findings are in line with previous observations indicating that a lower socio-economic status may be a risk factor for COVID-19 and show that non-Italians are disproportionately affected by SARS-CoV-2 infection. This suggests that public health policies should focus more on disadvantaged populations.

Topics & Concepts

Neighbourhood (mathematics)DemographyOddsDisadvantagedCross-sectional studyMedicinePopulationCoronavirus disease 2019 (COVID-19)Public healthSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicEnvironmental healthLogistic regressionSociologyPolitical scienceInternal medicineInfectious disease (medical specialty)LawPathologyNursingDiseaseMathematical analysisMathematicsCOVID-19 Clinical Research StudiesCOVID-19 epidemiological studiesLong-Term Effects of COVID-19