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Home  >  Medical Research Archives  >  Issue 149  > Racial/Ethnic and Geo-clustering Differentials in SARS-CoV-2 (COVID-19) Cumulative Incidence, Mortality and Temporal Trend in Delaware State, USA
Published in the Medical Research Archives
Jun 2022 Issue

Racial/Ethnic and Geo-clustering Differentials in SARS-CoV-2 (COVID-19) Cumulative Incidence, Mortality and Temporal Trend in Delaware State, USA

Published on Jun 20, 2022

DOI 

Abstract

 

Purpose: COVID-19, a respiratory disease caused by SARS-CoV-2 indicates subpopulation differentials in cumulative incidence (CmI) and mortality. We aimed to assess the racial/ethnic and geo-clustering in COVID-19 CmI and mortality in Delaware.

Method: A cross-sectional ecologic design was used to assess COVID-19 mortality in April, May and November 2020. The binomial and poison regression models were utilized for race/ethnic and geo-clustering risk prediction, respectively.

Results: As per late April, CmI remains to be flattened in DE, with the confirmed SARS-CoV-2, n=4575

(47.5 per 10,000), Sussex county (SC), n=2,114 (111.4 per 10,000), Kent county, n=728 (41.8 per

10,000) and New Castle county, n=1,701 (28.7 per 10,000). CmI was highest for Non-Hispanic blacks (NHB), 27% (n=1250) but lowest among Asian/Pacific Islanders, n=61 (1%). The disproportionate burden of COVID-19 CmI was highest among Hispanics, 100.2 per 10,000. COVID-19 cases were more prevalent among NHB (30%) and Hispanics (19%). Mortality was higher among NHB, 1.70 per 10,000 compared to Non-Hispanic whites (NHW), 1.34 per 10,000. COVID-19 mortality differed by race, with NHB relative to NHW 27% more likely to die, risk ratio (RR)=1.27, 95%CI, 0.85-1.89. Geo-clustering indicated a significant 50% increased mortality risk in SC compared to DE, incidence rate ratio

(IRR)=1.50, 95%CI, 1.11-2.03.During November, the case fatality rate (CFR) in DE was 27 per 10,000, while in the US, the CFR was 25 per 10,000.

Conclusions: The Delaware COVID-19 CmI indicates disproportionate burden on NHB and Hispanics; case clustering disproportionate burden in SC; and the risk of dying was highest among NHB.

Author info

Gbadebo Ogungbade, Laurens Holmes Jr., Janille Williams, Keerti Deepika, Doriel Ward, Benjamin Ogundele, Chinacherem Chinaka, Michael Enwere, Osatohamwen Okundaye, Tatiana Picolli, Jennifer Thompson, Maura Poleon, Ramesh Adhikari, Glen Philipcien, Shikha Jain, Naresh Dasari, Ram Alur

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