CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
i
COVID-19 Among American Indian and Alaska Native Persons — 23 States, January 31–July 3, 2020
-
August 28 2020
-
-
Source: MMWR Morbidity Mortal Weekly Rep. 69(34):1166-1169
Details:
-
Journal Article:Morbidity and Mortality Weekly Report (MMWR)
-
Personal Author:
-
Description:Although non-Hispanic American Indian and Alaska Native (AI/AN) persons account for 0.7% of the U.S. population,* a recent Analysis reported that 1.3% of coronaVirus disease 2019 (COVID-19) cases reported to CDC with known race and ethnicity were among AI/AN persons (1). To assess the impact of COVID-19 among the AI/AN population, reports of laboratory-confirmed COVID-19 cases during January 22|-July 3, 2020 were analyzed. The Analysis was limited to 23 states| with >70% complete race/ethnicity information and five or more laboratory-confirmed COVID-19 cases among both AI/AN persons (alone or in combination with other races and ethnicities) and non-Hispanic white (white) persons. Among 424,899 COVID-19 cases reported by these states, 340,059 (80%) had complete race/ethnicity information; among these 340,059 cases, 9,072 (2.7%) occurred among AI/AN persons, and 138,960 (40.9%) among white persons. Among 340,059 cases with complete patient race/ethnicity data, the cumulative incidence among AI/AN persons in these 23 states was 594 per 100,000 AI/AN population (95% confidence interval [CI] = 203-1,740), compared with 169 per 100,000 white population (95% CI = 137-209) (rate ratio [RR] = 3.5; 95% CI = 1.2-10.1). AI/AN persons with COVID-19 were younger (median age = 40 years; interquartile range [IQR] = 26-56 years) than were white persons (median age = 51 years; IQR = 32-67 years). More complete case report data and timely, culturally responsive, and evidence-based public health efforts that leverage the strengths of AI/AN communities are needed to decrease COVID-19 Transmission and improve patient outcomes.
-
Subjects:
-
Source:
-
Series:
-
ISSN:0149-2195 (print);1545-861X (digital);
-
Pubmed ID:32853193
-
Pubmed Central ID:PMC7451969
-
Document Type:
-
Place as Subject:
-
Pages in Document:4 pdf pages
-
Volume:69
-
Issue:34
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: