Low-income neighbourhood was a key determinant of severe COVID-19 incidence during the first wave of the epidemic in Paris.
J Epidemiol Community Health
; 75(12): 1143-1146, 2021 12.
Article
in English
| MEDLINE | ID: covidwho-1290734
ABSTRACT
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Epidemics
/
COVID-19
Type of study:
Observational study
/
Prognostic study
Limits:
Adolescent
/
Female
/
Humans
/
Middle aged
Country/Region as subject:
Europa
Language:
English
Journal:
J Epidemiol Community Health
Year:
2021
Document Type:
Article
Affiliation country:
Jech-2020-216068
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