University of Michigan - Ann Arbor

- Lowest probability of infection: women living in buildings with very high assessed values (8.2% [95% CI, 1.2%-15.2%])
- Highest probability of infection: women residing in neighborhoods with high household membership (23.9% [95% CI, 18.4%-29.4%])

Odds of infection lower:
- Women living in buildings with more residential units (interdecile OR, 0.34 [95% CI, 0.16-0.72]) 
- Women living in buildings with higher assessed values (interdecile OR, 0.29 [95% CI, 0.10-0.89]) 
- Women living in neighborhoods with higher median incomes (interdecile OR, 0.32 [95% CI, 0.12-0.83]).


Odds of infection higher:
- Women residing in neighborhoods with high unemployment rates (interdecile OR, 2.13 [95 CI, 1.18-3.83])
- Women with large household membership (interdecile OR, 3.16 [95% CI, 1.58-6.37])
- Women with greater household crowding (interdecile OR, 2.27 [95% CI, 1.12-4.61])

"There was no statistically significant association between SARS-CoV-2 infection and population density (interdecile OR, 0.70 [95% CI, 0.32-1.51]) or poverty rate (interdecile OR, 2.03 [95% CI, 0.97-4.25])."

Results for Associations Between Built Environment, Neighborhood Socioeconomic Status, and SARS-CoV-2 Infection Among Pregnant Women in New York City

Emeruwa UN, Ona S, Shaman JL, et al. Associations Between Built Environment, Neighborhood Socioeconomic Status, and SARS-CoV-2 Infection Among Pregnant Women in New York City. JAMA. Published online June 18, 2020. doi:10.1001/jama.2020.11370

https://jamanetwork.com/journals/jama/fullarticle/2767631

Associations Between Built Environment, Neighborhood Socioeconomic Status, and SARS-CoV-2 Infection Among Pregnant Women in New York City

Table. Cohort Characteristics for Associations Between Built Environment, Neighborhood Socioeconomic Status, and SARS-CoV-2 Infection Among Pregnant Women in New York City

Values plotted against the probability of identifying severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection at universal testing. Solid lines indicate the predicted probability of infection from bivariable logistic regression models; shaded areas, 95% confidence bands. For each independent variable, circles are plotted at the mean values of the women residing in 10 equal-width bins. The circle size is proportionate to the number of women within each bin. Since bins may contain no patients, there are fewer than 10 circles in some panels. Interdecile range indicates 10th and 90th percentiles. The probability (and 95% CI) of SARS-CoV-2 infection for women at the 10th and 90th percentile of each independent variable was predicted from the regressions shown in each panel.

Learn Before

Related