regions

Background

There is a paucity of literature addressing COVID-19 case-fatality ratios (CFR) by zip code (ZC). We aim to analyze trends in COVID-19 CFR, population density, and socioeconomic status (SES) indicators (unemployment, median household income) to identify ZCs heavily burdened by COVID-19.

Methods

Cross-sectional study to investigate the US prevalence of COVD-19 fatalities by ZC and SES. CFRs were calculated from state/county Departments of Health. Inclusion criteria were counties that reported cases/deaths by ZC and a CFR≥2%. This study was reported in line with the STROCSS criteria.

Results

609/1,853 ZCs, spanning 327 counties in 7 states had CFRs ≥2%. A significant positive correlation was found between the CFR and median household income (Pearson correlation:0.107; 95% CI [289.1,1937.9]; p < 0.001). No significant correlations exist between the CFR, and population/mi (Sen-Crowe et al., 2020) [2] or unemployment rate. Significant associations exist between the CFR and young males and elderly females without public insurance. CFR was inversely associated with persons aged <44 and individuals aged ≥65. The percentage of nursing homes (NHs) within cities residing within high CFR ZCs range from 8.7% to 67.6%.

Conclusion

Significant positive association was found between the CFR and median household income. Population/mi (Sen-Crowe et al., 2020) [2] and unemployment rates, did not correlate to CFR. NHs were heavily distributed in high CFR zip codes. We recommend the targeted vaccination of zip codes with a large proportion of long-term care facilities. Finally, we recommend for improved screening and safety guidelines for vulnerable populations (e.g nursing home residents) and established protocols for when there is evidence of substantial infectious spread.

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First national sampling of COVID-19 Case Fatality Ratio (CFR) at the zip code level.

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Population density and unemployment rate did not correlate to COVID-19 CFR.

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Significant positive correlation was found between CFR and median household income.

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Nursing homes were concentrated in zip codes with high COVID-19 CFR.

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States should make COVID-19 data available at the zip code level.

Association between hospital discharge rate for female breast cancer and residence in a zip code containing hazardous waste sites

BACKGROUND

Exposure to chemicals plays a role in risk of breast cancer. However, possible associations between risk of breast cancer and residential proximity to hazardous waste sites (HWSs) have not been reported.

METHODS

We determined rates of hospital discharge with a diagnosis of female breast cancer in relation to residence in a zip code containing HWSs in New York State (NYS) after adjustment for ethnicity, age, income and urbanicity. Waste exposure was assessed by both the number of waste sites and the type of contaminants. Negative binomial regression was used to test the associations.

RESULTS

After controlling for confounders, the hospital discharge rate of breast cancer for women living in zip codes having four or more HWSs or in zip codes having one HWS increased significantly (at the 0.05 level) by 9.1% and 6.4%, as compared to those living in a zip code with no HWS. The association for women living in zip codes having two or three HWSs was not significant. This indicates that the extent of exposure cannot be assessed solely by the number of waste sites. The discharge rate for women living in zip codes containing at least one volatile organic compound (VOC) waste site was significantly increased 5.6% as compared to those living in a zip code without any HWS, while the increases were not significant for women living in zip codes containing waste sites with persistent organic pollutants (POPs) or other contaminants. The significant associations were stronger for African American than Caucasian women and stronger in more urbanized than in rural areas.

CONCLUSIONS

Residence within a geographic area (defined by zip codes) that includes a hazardous waste site with VOCs is significantly associated with an increased rate of hospitalization for breast cancer, and the association is stronger for African American than Caucasian women and stronger in more urbanized than in rural areas after adjustment for the confounders.