Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 7 de 7
Filter
1.
Am J Public Health ; 111(S3): S208-S214, 2021 10.
Article in English | MEDLINE | ID: covidwho-1496723

ABSTRACT

Public Health 3.0 calls for the inclusion of new partners and novel data to bring systemic change to the US public health landscape. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has illuminated significant data gaps influenced by ongoing colonial legacies of racism and erasure. American Indian and Alaska Native (AI/AN) populations and communities have been disproportionately affected by incomplete public health data and by the COVID-19 pandemic itself. Our findings indicate that only 26 US states were able to calculate COVID-19‒related death rates for AI/AN populations. Given that 37 states have Indian Health Service locations, we argue that public health researchers and practitioners should have a far larger data set of aggregated public health information on AI/AN populations. Despite enormous obstacles, local Tribal facilities have created effective community responses to COVID-19 testing, tracking, and vaccine administration. Their knowledge can lead the way to a healthier nation. Federal and state governments and health agencies must learn to responsibly support Tribal efforts, collect data from AI/AN persons in partnership with Indian Health Service and Tribal governments, and communicate effectively with Tribal authorities to ensure Indigenous data sovereignty. (Am J Public Health. 2021;111(S3): S208-S214. https://doi.org/10.2105/AJPH.2021.306415).


Subject(s)
Alaskan Natives/statistics & numerical data , American Indian or Alaska Native/statistics & numerical data , COVID-19/epidemiology , Public Health , United States Indian Health Service/statistics & numerical data , COVID-19 Testing , COVID-19 Vaccines/therapeutic use , Data Collection/standards , Humans , SARS-CoV-2 , United States/epidemiology
2.
Sleep Health ; 7(4): 459-467, 2021 08.
Article in English | MEDLINE | ID: covidwho-1313434

ABSTRACT

OBJECTIVES: This study investigates race-related disparities in sleep duration and quality among diverse young adults during the coronavirus 2019 (COVID-19) pandemic. DESIGN & SETTING: Online cross-sectional study of young adults in the United States in April 2020. PARTICIPANTS: About 547 American Indian/Alaskan Native (AIAN), Asian, Black, Latinx, and White young adults ages 18-25 years. MEASUREMENTS: Participants completed measures of sleep duration and quality, coronavirus victimization distress, depression, age, sex/gender, employment status, essential worker status, student status, residential region, socioeconomic status, concerns about contracting coronavirus and CDC health risks. RESULTS: Black young adults reported the largest disparity in sleep duration and quality. For sleep duration, AIAN, Asian, White, and Latinx young adults reported approximately one additional hour of sleep compared to Black respondents. Mediation analyses suggest that disparities in sleep duration between Asian and Black young adults may be explained by the higher likelihood of Black respondents being essential workers. For sleep quality, Latinx, White, AIAN, and Asian young adults reported higher levels than Black respondents. Including coronavirus victimization distress as an intervening pathway decreased the effect for Asian and White respondents on sleep quality, suggesting that coronavirus victimization distress partially explains Black and Asian, as well as Black and White differences in sleep quality. CONCLUSIONS: Black young adults reported the shortest sleep duration and lowest levels of sleep quality relative to AIAN, Asian, Latinx and White peers. Interpersonal experiences of coronavirus victimization and structural inequities may partially explain disparities during the COVID-19 pandemic.


Subject(s)
COVID-19/epidemiology , Health Status Disparities , Pandemics , Racial Groups/statistics & numerical data , Sleep , Adolescent , Adult , Black or African American/statistics & numerical data , Alaskan Natives/statistics & numerical data , Asian/statistics & numerical data , Female , Hispanic or Latino/statistics & numerical data , Humans , Male , Time Factors , White People/statistics & numerical data , Young Adult , American Indian or Alaska Native/statistics & numerical data
3.
MMWR Morb Mortal Wkly Rep ; 70(14): 510-513, 2021 Apr 09.
Article in English | MEDLINE | ID: covidwho-1173069

ABSTRACT

Geographic differences in infectious disease mortality rates have been observed among American Indian or Alaska Native (AI/AN) persons in the United States (1), and aggregate analyses of data from selected U.S. states indicate that COVID-19 incidence and mortality are higher among AI/AN persons than they are among White persons (2,3). State-level data could be used to identify disparities and guide local efforts to reduce COVID-19-associated incidence and mortality; however, such data are limited. Reports of laboratory-confirmed COVID-19 cases and COVID-19-associated deaths reported to the Montana Department of Public Health and Human Services (MDPHHS) were analyzed to describe COVID-19 incidence, mortality, and case-fatality rates among AI/AN persons compared with those among White persons. During March-November 2020 in Montana, the estimated cumulative COVID-19 incidence among AI/AN persons (9,064 cases per 100,000) was 2.2 times that among White persons (4,033 cases per 100,000).* During the same period, the cumulative COVID-19 mortality rate among AI/AN persons (267 deaths per 100,000) was 3.8 times that among White persons (71 deaths per 100,000). The AI/AN COVID-19 case-fatality rate (29.4 deaths per 1,000 COVID-19 cases) was 1.7 times the rate in White persons (17.0 deaths per 1,000). State-level surveillance findings can help in developing state and tribal COVID-19 vaccine allocation strategies and assist in local implementation of culturally appropriate public health measures that might help reduce COVID-19 incidence and mortality in AI/AN communities.


Subject(s)
Alaskan Natives/statistics & numerical data , American Indian or Alaska Native/statistics & numerical data , COVID-19/ethnology , COVID-19/mortality , Health Status Disparities , White People/statistics & numerical data , Adult , Aged , Aged, 80 and over , Female , Humans , Incidence , Male , Middle Aged , Montana/epidemiology , Mortality/ethnology , Young Adult
5.
MMWR Morb Mortal Wkly Rep ; 69(49): 1853-1856, 2020 12 11.
Article in English | MEDLINE | ID: covidwho-1024816

ABSTRACT

American Indian/Alaska Native (AI/AN) persons experienced disproportionate mortality during the 2009 influenza A(H1N1) pandemic (1,2). Concerns of a similar trend during the coronavirus disease 2019 (COVID-19) pandemic led to the formation of a workgroup* to assess the prevalence of COVID-19 deaths in the AI/AN population. As of December 2, 2020, CDC has reported 2,689 COVID-19-associated deaths among non-Hispanic AI/AN persons in the United States.† A recent analysis found that the cumulative incidence of laboratory-confirmed COVID-19 cases among AI/AN persons was 3.5 times that among White persons (3). Among 14 participating states, the age-adjusted AI/AN COVID-19 mortality rate (55.8 deaths per 100,000; 95% confidence interval [CI] = 52.5-59.3) was 1.8 (95% CI = 1.7-2.0) times that among White persons (30.3 deaths per 100,000; 95% CI = 29.9-30.7). Although COVID-19 mortality rates increased with age among both AI/AN and White persons, the disparity was largest among those aged 20-49 years. Among persons aged 20-29 years, 30-39 years, and 40-49 years, the COVID-19 mortality rates among AI/AN were 10.5, 11.6, and 8.2 times, respectively, those among White persons. Evidence that AI/AN communities might be at increased risk for COVID-19 illness and death demonstrates the importance of documenting and understanding the reasons for these disparities while developing collaborative approaches with federal, state, municipal, and tribal agencies to minimize the impact of COVID-19 on AI/AN communities. Together, public health partners can plan for medical countermeasures and prevention activities for AI/AN communities.


Subject(s)
Alaskan Natives/statistics & numerical data , American Indian or Alaska Native/statistics & numerical data , COVID-19/ethnology , COVID-19/mortality , Health Status Disparities , Adult , Female , Humans , Male , Middle Aged , United States/epidemiology , Young Adult
7.
MMWR Morb Mortal Wkly Rep ; 69(34): 1166-1169, 2020 Aug 28.
Article in English | MEDLINE | ID: covidwho-732630

ABSTRACT

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.


Subject(s)
Alaskan Natives/statistics & numerical data , Coronavirus Infections/ethnology , Health Status Disparities , Indians, North American/statistics & numerical data , Pneumonia, Viral/ethnology , Adolescent , Adult , Aged , Betacoronavirus/isolation & purification , COVID-19 , COVID-19 Testing , Child , Child, Preschool , Clinical Laboratory Techniques , Coronavirus Infections/diagnosis , Coronavirus Infections/therapy , Female , Humans , Incidence , Infant , Infant, Newborn , Male , Middle Aged , Pandemics , Pneumonia, Viral/diagnosis , Pneumonia, Viral/therapy , SARS-CoV-2 , Severity of Illness Index , Treatment Outcome , United States/epidemiology , Young Adult
SELECTION OF CITATIONS
SEARCH DETAIL