Low-income neighbourhood was a key determinant of severe COVID-19 incidence during the first wave of the epidemic in Paris

Background Previous studies have demonstrated that socioeconomic factors are associated with COVID-19 incidence. In this study, we analysed a broad range of indicators in relation to hospitalised cases the Paris area. Methods We extracted 303 from French census data for 855 residential units and assessed their association hospitalisation risk. Findings The most risk were third decile population income (OR=9.10, 95% CI 4.98 18.39), followed by primary residence rate (OR=5.87, 3.46 10.61), active workers unskilled occupations (OR=5.04, 3.03 8.85) women over 15 years old no diploma 8.85). Of note, demographics considerably less Among these indicators, aged between 45 59 (OR=2.17, 1.40 3.44) exhibited greatest level association, whereas density was not associated. Overall, 86% occurred within 45% deprived areas. Interpretation Studying using as readily available large resource can provide real-time indirect information on populations high incidence COVID-19.