RT Journal Article
SR Electronic
T1 Low-income neighbourhood was a key determinant of severe COVID-19 incidence during the first wave of the epidemic in Paris
JF Journal of Epidemiology and Community Health
JO J Epidemiol Community Health
FD BMJ Publishing Group Ltd
SP 1143
OP 1146
DO 10.1136/jech-2020-216068
VO 75
IS 12
A1 Jannot, Anne-Sophie
A1 Countouris, Hector
A1 Van Straaten, Alexis
A1 Burgun, Anita
A1 Katsahian, Sandrine
A1 Rance, Bastien
A1 ,
YR 2021
UL http://jech.bmj.com/content/75/12/1143.abstract
AB Background Previous studies have demonstrated that socioeconomic factors are associated with COVID-19 incidence. In this study, we analysed a broad range of socioeconomic indicators in relation to hospitalised cases in the Paris area.Methods We extracted 303 socioeconomic indicators from French census data for 855 residential units in Paris and assessed their association with COVID-19 hospitalisation risk.Findings The indicators most associated with hospitalisation risk were the third decile of population income (OR=9.10, 95% CI 4.98 to 18.39), followed by the primary residence rate (OR=5.87, 95% CI 3.46 to 10.61), rate of active workers in unskilled occupations (OR=5.04, 95% CI 3.03 to 8.85) and rate of women over 15 years old with no diploma (OR=5.04, 95% CI 3.03 to 8.85). Of note, population demographics were considerably less associated with hospitalisation risk. Among these indicators, the rate of women aged between 45 and 59 years (OR=2.17, 95% CI 1.40 to 3.44) exhibited the greatest level of association, whereas population density was not associated. Overall, 86% of COVID-19 hospitalised cases occurred within the 45% most deprived areas.Interpretation Studying a broad range of socioeconomic indicators using census data and hospitalisation data as a readily available and large resource can provide real-time indirect information on populations with a high incidence of COVID-19.