COVID-19 Among American Indian and Alaska Native Persons - 23 States, January 31-July 3, 2020

Understanding racial/ethnic disparities in COVID-19 mortality using a novel metric: COVID excess mortality percentage

Prior research on racial/ethnic disparities in COVID-19 mortality has often not considered to what extent they reflect COVID-19-specific factors, versus preexisting health differences. This study examines how racial/ethnic disparities in COVID-19 mortality vary with age, sex, and time period over April-December 2020 in the United States, using mortality from other natural causes as a proxy for underlying health. We study a novel measure, the COVID excess mortality percentage (CEMP), defined as the COVID-19 mortality rate divided by the non-COVID natural mortality rate, converted to a percentage, where the CEMP denominator controls (albeit imperfectly) for differences in population health. Disparities measured using CEMP deviate substantially from those in prior research. In particular, we find very high disparities (up to 12:1) in CEMP rates for Hispanics versus Whites, particularly for nonelderly men. Asians also have elevated CEMP rates versus Whites, which were obscured in prior work by lower overall Asian mortality. Native Americans and Blacks have significant disparities compared with White populations, but CEMP ratios to Whites are lower than ratios reported in other work. This is because the higher COVID-19 mortality for Blacks and Native Americans comes partly from higher general mortality risk and partly from COVID-specific risk.

Characteristics and outcomes of a hospitalized cohort with reduced mortality from COVID-19, White Mountain apache tribal lands, April 1 - July 31, 2020

BACKGROUND

Widespread transmission of COVID-19 continues to threaten public health, particularly of rural, American Indian communities. Although COVID-19 risk factors for severe disease and clinical characteristics are well described in the general population, there has been little shared on hospitalized American Indian populations.

METHODS

In this observational study, we performed chart extractions on all persons hospitalized with COVID-19 from April 1 through July 31, 2020 among an exclusively American Indian population living on or near Tribal lands in eastern Arizona. We provide descriptive statistics for the cohort stratified by presentation, comparing those who self-presented or were referred by an outreach program. Exploratory analyses were performed to identify risk factors for morbidity and mortality.

RESULTS

During the observation period, 2262 persons were diagnosed with COVID-19 and 490 (22%) were hospitalized. Hospitalized persons had a median age of 54 years; 92% had at least one comorbidity, 72% had greater than one comorbidity, and 60% had a BMI of > 30. Most persons required supplemental oxygen (83%), but the majority (62%) only required nasal cannula and only 11% were intubated. The case fatality rates were 1.7% for the population, 7.1% among hospitalizations, and 9.3% among hospitalized patients 50 years and older. All rates that are significantly lower than those reported nationally during the same period.

CONCLUSIONS

We observed a cohort of American Indian patients hospitalized secondary to COVID-19 with greater number of comorbidities compared to the general population but with lower mortality rates. We posit that the primary driver of mortality reduction for this population and the hospitalized cohort was a community-based referral program that led to disproportionately lower fatality rates among the oldest persons.

Retention of American Indian and Alaska Native participants in the National Alzheimer's Coordinating Center Uniform Data Set

INTRODUCTION

The number of American Indian and Alaska Native (AI/AN) elders is expected to double by 2060. Thus it is imperative to retain AI/AN participants in longitudinal research studies to identify novel risk factors and potential targets for intervention for Alzheimer's disease and related dementias in these communities.

METHODS

The National Alzheimer's Coordinating Center houses uniformly collected longitudinal data from the network of National Institute on Aging (NIA)-funded Alzheimer's Disease Research Centers (ADRCs). We used logistic regression to quantify participant retention at 43 ADRCs, comparing self-identified AI/AN participants to non-Hispanic White (NHW) participants, adjusting for potential confounding factors including baseline diagnosis, age, sex, education, and smoking.

RESULTS

The odds of AI/AN participant retention at the first follow-up visit were significantly lower than those for NHW participants (adjusted odds ratio [aOR]: 0.599; 95%: 0.46-0.78; p < 0.001).

DISCUSSION

These results suggest the need for improved strategies to retain AI/AN participants, perhaps including improved researcher-community relationships and community engagement and education.

HIGHLIGHTS

American Indian and Alaska Native (AI/AN) research participants were retained to the first follow-up appointment at lower rates than non-Hispanic White (NHW) participants. AI/AN participants are retained at lower rates than NHW participants for long-term follow-up. The majority of AI/AN participants were not retained to the second follow-up visit.

Using Geographic Disaggregation to Compare Tuberculosis Epidemiology Among American Indian and Alaska Native Persons-USA, 2010-2020

BACKGROUND

American Indian and Alaska Native (AIAN) populations are frequently associated with the highest rates of tuberculosis (TB) disease of any racial/ethnic group in the USA. We systematically investigated variation in patterns and potential drivers of TB epidemiology among geographically distinct AIAN subgroups.

METHODS

Using data reported to the National Tuberculosis Surveillance System during 2010-2020, we applied a geographic method of data disaggregation to compare annual TB incidence and the frequency of TB patient characteristics among AIAN persons in Alaska with AIAN persons in other states. We used US Census data to compare the prevalence of substandard housing conditions in AIAN communities in these two geographic areas.

RESULTS

The average annual age-adjusted TB incidence among AIAN persons in Alaska was 21 times higher than among AIAN persons in other states. Compared to AIAN TB patients in other states, AIAN TB patients in Alaska were associated with significantly higher frequencies of multiple epidemiologic TB risk factors (e.g., attribution of TB disease to recent transmission, previous diagnosis of TB disease) and significantly lower frequencies of multiple clinical risk factors for TB disease (e.g., diagnosis with diabetes mellitus, end-stage renal disease). Occupied housing units in AIAN communities in Alaska were associated with significantly higher frequencies of multiple measures of substandard housing conditions compared to AIAN communities in other states.

CONCLUSIONS

Observed differences in patient characteristics and substandard housing conditions are consistent with contrasting syndromes of TB epidemiology in geographically distinct AIAN subgroups and suggest ways that associated public health interventions could be tailored to improve efficacy.

Racial and Ethnic Disaggregation of Tuberculosis Incidence and Risk Factors Among American Indian and Alaska Native Persons-United States, 2001-2020

Objectives. To examine impacts of racial and ethnic disaggregation on the characterization of tuberculosis (TB) epidemiology among American Indian and Alaska Native (AI/AN) persons in the United States. Methods. Using data reported to the National Tuberculosis Surveillance System during 2001 to 2020, we compared annual age-adjusted TB incidence and the frequency of TB risk factors among 3 AI/AN analytic groups: non-Hispanic AI/AN alone persons, multiracial/Hispanic AI/AN persons, and all AI/AN persons (aggregate of the first 2 groups). Results. During 2009 to 2020, annual TB incidence (cases per 100 000 persons) among non-Hispanic AI/AN alone persons (range = 3.87-8.56) was on average 1.9 times higher than among all AI/AN persons (range = 1.89-4.70). Compared with non-Hispanic AI/AN alone patients with TB, multiracial/Hispanic AI/AN patients were significantly more likely to be HIV positive (prevalence ratio [PR] = 2.05) and to have been diagnosed while a resident of a correctional facility (PR = 1.71), and significantly less likely to have experienced homelessness (PR = 0.53) or died during TB treatment (PR = 0.47). Conclusions. Racial and ethnic disaggregation revealed significant differences in TB epidemiology among AI/AN analytic groups. Exclusion of multiracial/Hispanic AI/AN persons from AI/AN analytic groups can substantively affect estimates of racial and ethnic health disparities. (Am J Public Health. 2024;114(2):226-236. https://doi.org/10.2105/AJPH.2023.307498).

Evidence on COVID-19 Mortality and Disparities Using a Novel Measure, COVID excess mortality percentage: Evidence from Indiana, Wisconsin, and Illinois

COVID-19 mortality rates increase rapidly with age, are higher among men than women, and vary across racial/ethnic groups, but this is also true for other natural causes of death. Prior research on COVID-19 mortality rates and racial/ethnic disparities in those rates has not considered to what extent disparities reflect COVID-19-specific factors, versus preexisting health differences. This study examines both questions. We study the COVID-19-related increase in mortality risk and racial/ethnic disparities in COVID-19 mortality, and how both vary with age, gender, and time period. We use a novel measure validated in prior work, the COVID Excess Mortality Percentage (CEMP), defined as the COVID-19 mortality rate (Covid-MR), divided by the non-COVID natural mortality rate during the same time period (non-Covid NMR), converted to a percentage. The CEMP denominator uses Non-COVID NMR to adjust COVID-19 mortality risk for underlying population health. The CEMP measure generates insights which differ from those using two common measures-the COVID-MR and the all-cause excess mortality rate. By studying both CEMP and COVID-MRMR, we can separate the effects of background health from Covid-specific factors affecting COVID-19 mortality. We study how CEMP and COVID-MR vary by age, gender, race/ethnicity, and time period, using data on all adult decedents from natural causes in Indiana and Wisconsin over April 2020-June 2022 and Illinois over April 2020-December 2021. CEMP levels for racial and ethnic minority groups can be very high relative to White levels, especially for Hispanics in 2020 and the first-half of 2021. For example, during 2020, CEMP for Hispanics aged 18-59 was 68.9% versus 7.2% for non-Hispanic Whites; a ratio of 9.57:1. CEMP disparities are substantial but less extreme for other demographic groups. Disparities were generally lower after age 60 and declined over our sample period. Differences in socio-economic status and education explain only a small part of these disparities.

Misracialization of Indigenous people in population health and mortality studies: a scoping review to establish promising practices

Indigenous people are often misracialized as other racial or ethnic identities in population health research. This misclassification leads to underestimation of Indigenous-specific mortality and health metrics, and subsequently, inadequate resource allocation. In recognition of this problem, investigators around the world have devised analytic methods to address racial misclassification of Indigenous people. We carried out a scoping review based on searches in PubMed, Web of Science, and the Native Health Database for empirical studies published after 2000 that include Indigenous-specific estimates of health or mortality and that take analytic steps to rectify racial misclassification of Indigenous people. We then considered the weaknesses and strengths of implemented analytic approaches, with a focus on methods used in the US context. To do this, we extracted information from 97 articles and compared the analytic approaches used. The most common approach to address Indigenous misclassification is to use data linkage; other methods include geographic restriction to areas where misclassification is less common, exclusion of some subgroups, imputation, aggregation, and electronic health record abstraction. We identified 4 primary limitations of these approaches: (1) combining data sources that use inconsistent processes and/or sources of race and ethnicity information; (2) conflating race, ethnicity, and nationality; (3) applying insufficient algorithms to bridge, impute, or link race and ethnicity information; and (4) assuming the hyperlocality of Indigenous people. Although there is no perfect solution to the issue of Indigenous misclassification in population-based studies, a review of this literature provided information on promising practices to consider.

Tobacco and marijuana use during the COVID-19 pandemic lockdown among American Indians residing in California and Oklahoma

INTRODUCTION

American Indian (AI) people experience a disproportionate tobacco and marijuana burden which may have been exacerbated by the COVID-19 pandemic. Little is known about the tobacco and marijuana habits of American Indian individuals during the COVID-19 pandemic. The objective of this study is to examine tobacco and marijuana use as well as change in use during the COVID-19 pandemic among the American Indian community.

METHODS

This cross-sectional study analyzes survey data from a convenience sample of American Indian individuals residing in California and Oklahoma and included adults with and without cancer that resided in both rural and urban areas (n=1068).

RESULTS

During October 2020 - January 2021, 36.0% of participants reported current use of tobacco products, 9.9% reported current use of marijuana products, and 23.7% reported increased use of tobacco and/or marijuana in the past 30 days, with no difference between those with cancer and those without cancer. Tobacco use was associated with marital status, age, employment status, COVID-19 exposure, COVID-19 beliefs, and alcohol consumption. Marijuana use was associated with COVID-19 beliefs, alcohol consumption, and income level. Increased tobacco and/or marijuana use was associated with baseline use of those products. Nearly a quarter of participants reported increased use of tobacco and/or marijuana products during the COVID-19 pandemic.

CONCLUSIONS

We observed high rates of tobacco use during the COVID-19 pandemic, consistent with other studies. Research is needed to examine whether tobacco and marijuana use will decrease to pre-pandemic levels post-pandemic or if these behaviors will persist post-pandemic. Given these findings, there is a pressing need to increase access to evidence-based tobacco and marijuana treatment services in the AI population post COVID-19 pandemic.

Identifying Mental Health Literacy as a Key Predictor of COVID-19 Vaccination Acceptance among American Indian/Alaska Native/Native American People

BACKGROUND

This study examines how health literacy and mental health literacy associate with the willingness to receive a COVID-19 vaccination among American Indian/Alaska Native/Native American (AI/AN) people.

METHODS

The data were collected with an online Qualtrics survey in February 2021 (n = 563). A purposive snowball sampling strategy was used by sending recruitment flyers to colleagues and organizations who work with AI/AN communities to share with appropriate potential respondents. We performed linear regression analyses examining the relationships between the willingness to receive a COVID-19 vaccination and socio-demographic characteristics such as age, gender, education, health literacy, mental health literacy, self-rated physical and mental health status, worry about getting COVID-19, perceived COVID-19 susceptibility, and perceived COVID-19 severity.

RESULTS

Mental health literacy and health literacy predicted 30.90% and 4.65% of the variance (R2adjusted) in the willingness to receive a COVID-19 vaccine, respectively. After holding the self-rated physical/mental health status, worry about getting COVID-19, perceived susceptibility, perceived severity, health literacy, and socio-demographics constant, mental health literacy was still a strong predictor (b = 0.03, p < 0.001) for the willingness to receive a COVID-19 vaccine (model R2adjusted = 40.14%).

CONCLUSIONS

We identified mental health literacy as a substantial factor associated with the willingness to receive a COVID-19 vaccination among AI/AN respondents.

Explaining COVID-19 related mortality disparities in American Indians and Alaska Natives

American Indian and Alaska Native (AI/AN) individuals are more likely to die with COVID-19 than other groups, but there is limited empirical evidence to explain the cause of this inequity. The objective of this study was to determine whether medical comorbidities, area socioeconomic deprivation, or access to treatment can explain the greater COVID-19 related mortality among AI/AN individuals. The design was a retrospective cohort study of harmonized electronic health record data of all inpatients with COVID-19 from 21 United States health systems from February 2020 through January 2022. The mortality of AI/AN inpatients was compared to all Non-Hispanic White (NHW) inpatients and to a matched subsample of NHW inpatients. AI/AN inpatients were more likely to die during their hospitalization (13.2% versus 7.1%; odds ratio [OR] = 1.98, 95% confidence interval [CI] = 1.48, 2.65) than their matched NHW counterparts. After adjusting for comorbidities, area social deprivation, and access to treatment, the association between ethnicity and mortality was substantially reduced (OR 1.59, 95% CI 1.15, 2.22). The significant residual relation between AI/AN versus NHW status and mortality indicate that there are other important unmeasured factors that contribute to this inequity. This will be an important direction for future research.

Avoidance of medical care among American Indians with a history of cancer during the coronavirus pandemic

Objectives

Assess the percentage of cancer-related appointment delays, cancelations, and the unavailability of medications experienced by American Indian participants during the COVID-19 pandemic.

Methods

This cross-sectional survey study was completed between October 2020 and July 2021 by 360 individuals with cancer who lived in California and Oklahoma. Binary and multivariate logistic regression analysis was completed in SAS 9.4.

Results

During the initial Covid-19 pandemic, almost one-third (30%) of respondents delayed cancer-related appointments, 42% canceled cancer-related appointments, and one-quarter (24%) were unable to access prescription medications or over-the-counter medications (27%) due to COVID-19. People who underwent testing for COVID-19 were five times more likely to delay a medical appointment [adjusted odds ratio (aOR) = 5.3, 95% CI:2.4, 11.7] and people who followed three or more social distancing measures were more than six times more likely to cancel medical appointments (aOR:6.3, 95% CI:2.9, 13.9).

Conclusion

This study identifies delays, cancelations, and medication inaccessibility people identifying as American Indian faced during the coronavirus pandemic. Disparities in healthcare delivery could contribute to increased morbidity and mortality rates of cancer.

Vaccination Status and Trends in Adult Coronavirus Disease 2019-Associated Hospitalizations by Race and Ethnicity: March 2020-August 2022

BACKGROUND

We sought to determine whether race/ethnicity disparities in severe coronavirus disease 2019 (COVID-19) outcomes persist in the era of vaccination.

METHODS

Population-based age-adjusted monthly rate ratios (RRs) of laboratory-confirmed COVID-19-associated hospitalizations were calculated among adult patients from the COVID-19-Associated Hospitalization Surveillance Network, March 2020 - August 2022 by race/ethnicity. Among randomly sampled patients July 2021 - August 2022, RRs for hospitalization, intensive care unit (ICU) admission, and in-hospital mortality were calculated for Hispanic, Black, American Indian/Alaskan Native (AI/AN), and Asian/Pacific Islander (API) persons vs White persons.

RESULTS

Based on data from 353 807 patients, hospitalization rates were higher among Hispanic, Black, and AI/AN vs White persons March 2020 - August 2022, yet the magnitude declined over time (for Hispanic persons, RR = 6.7; 95% confidence interval [CI], 6.5-7.1 in June 2020 vs RR < 2.0 after July 2021; for AI/AN persons, RR = 8.4; 95% CI, 8.2-8.7 in May 2020 vs RR < 2.0 after March 2022; and for Black persons RR = 5.3; 95% CI, 4.6-4.9 in July 2020 vs RR < 2.0 after February 2022; all P ≤ .001). Among 8706 sampled patients July 2021 - August 2022, hospitalization and ICU admission RRs were higher for Hispanic, Black, and AI/AN patients (range for both, 1.4-2.4) and lower for API (range for both, 0.6-0.9) vs White patients. All other race and ethnicity groups had higher in-hospital mortality rates vs White persons (RR range, 1.4-2.9).

CONCLUSIONS

Race/ethnicity disparities in COVID-19-associated hospitalizations declined but persist in the era of vaccination. Developing strategies to ensure equitable access to vaccination and treatment remains important.

Factors influencing COVID-19 testing among Native Americans and Latinos in two rural agricultural communities: a qualitative study

Objective

To examine factors influencing decisions to test for COVID-19 among Native Americans on the Flathead Reservation in Montana and the Latino community in the Yakima Valley of Washington state.

Methods

We conducted 30 key informant interviews with community leaders and six focus groups with community members to examine factors impacting decisions to test for COVID-19 during the second year of the COVID-19 pandemic from May 2021 to June 2021.

Results

Three major themes that impacted testing for COVID-19 were identified: (1) Social factors, including the influence of families and friends and employment practices; (2) health factors, including testing procedures, home-based testing, and health communication; and (3) contextual factors, including distrust for government and medical communities and the impact on cultural practices and celebrations.

Conclusions

Social, health, and contextual factors influence the decision to test for COVID-19. Understanding the community's perception is critical for successful implementation of preventive strategies.

CDC-Funded HIV Testing and Linkage to HIV Medical Care Among American Indian and Alaska Native People in the United States, 2014-2020

OBJECTIVE

An estimated 1 in 5 American Indian and Alaska Native (AI/AN) adults living with HIV are unaware of their status. We investigated HIV testing among AI/AN people receiving a Centers for Disease Control and Prevention (CDC)-funded test from 2014 through 2020.

METHODS

We analyzed data on CDC-funded HIV tests reported by health departments and community-based organizations in the United States. We described the number of CDC-funded HIV tests, the percentage of people with newly and previously diagnosed HIV, and linkage to HIV medical care within 90 days of diagnosis.

RESULTS

CDC-funded health departments and community-based organizations provided 99 227 HIV tests to AI/AN people during 2014-2020. Seven hundred thirty-five (0.7%) AI/AN people were diagnosed with HIV; 361 (0.4%) were newly diagnosed, 319 (0.3%) had a previous HIV diagnosis, and 55 (0.1%) had a previously unknown HIV status. Positivity for new diagnoses was highest among the following population groups tested in non-health care settings: men who had sex with men (MSM; n = 72, 1.2%), MSM who inject drugs (n = 12, 1.8%), and transgender people (n = 12, 1.5%). The percentage of linkage to HIV medical care was 80.6% for newly diagnosed people and 78.2% for previously diagnosed people.

CONCLUSIONS

MSM AI/AN, including those who inject drugs, and transgender AI/AN may benefit from prioritized HIV testing. All AI/AN people with HIV, whether newly or previously diagnosed, should rapidly link to HIV medical care and receive support throughout the continuum of care. Our findings can inform which AI/AN population subgroups may benefit from enhanced HIV testing efforts and interventions.

Effectiveness of a COVID-19 Vaccine Rollout in a Highly Affected American Indian Community, San Carlos Apache Tribe, December 2020-February 2021

COVID-19 has disproportionately affected American Indian Tribes, including the San Carlos Apache Tribe, which resides on 1.8 million acres in Arizona and has 16 788 official members. High vaccination rates among American Indian/Alaska Native people in the United States have been reported, but information on how individual Tribes achieved these high rates is scarce. We describe the COVID-19 epidemiology and vaccine rollout in the San Carlos Apache Tribe using data extracted from electronic health records from the San Carlos Apache Healthcare Corporation (SCAHC). By mid-December 2020, 19% of the San Carlos Apache population had received a positive reverse transcription polymerase chain reaction test for SARS-CoV-2, the virus that causes COVID-19. The Tribe prioritized for vaccination population groups with the highest risk for severe COVID-19 outcomes (eg, those aged ≥65 years, who had a 46% risk of hospitalization if infected vs 13% overall). SCAHC achieved high early COVID-19 vaccination rates in the San Carlos community relative to the state of Arizona (47.6 vs 25.2 doses per 100 population by February 27, 2021). These vaccination rates reflected several strategies that were implemented to achieve high COVID-19 vaccine access and uptake, including advance planning, departmental vaccine education sessions within SCAHC, radio and Facebook postings featuring Tribal leaders in the Apache language, and pop-up community vaccine clinics. The San Carlos Apache Tribe's vaccine rollout strategy was an early success story and may provide a model for future vaccination campaigns in other Tribal nations and rural communities in the United States.

Adapting a Telehealth Network for Emergency COVID-19 Pandemic Response, 2020-2021

In March 2020, a Tribal telehealth program-the Indian Country Extension for Community Health Outcomes (ECHO)-added emergency COVID-19 to its programming to support the pandemic response. A long-standing relationship with a network of Indian Health Service, Tribal, and urban Indian clinicians supported a rapid launch of the COVID-19 telehealth program. This nationwide service offered primary care clinicians and staff serving American Indian/Alaska Native people access to virtual learning opportunities, expert clinical recommendations, technical assistance, and capacity building. From March 12, 2020, through April 30, 2021, the program provided 85 clinical sessions in 12 months, with an average participation of 120 attendees per clinic (N = 11 710). Attendees could complete a voluntary evaluation form for each session via an online link. A total of 2595 forms were completed. Attendees came from 33 states and 206 unique locations, primarily from the Pacific Northwest (n = 931, 35.9%). Most pharmacists (78.1%), providers (ie, medical doctor, doctor of osteopathy, advanced practice nurse, physician assistant, or clinical nurse midwife; 70.8%), and nurses (59.6%) gave the sessions the highest rating of "very satisfied." The highest proportion of attendees indicating that they planned a change in practice were pharmacists (68.0%), nurses, (64.1%), and providers (61.3%). Most attendees (93.1%) said that the COVID-19 sessions gave them a sense of social support. Lessons learned were that (1) a telehealth platform can be quickly retasked for emergency response with no further delays, (2) a telehealth network can be scaled up quickly with participation from preexisting relationships, and (3) the platform is flexible and adaptable to the needs of participants. An existing telehealth program can be a key part of timely, relevant, large-scale emergency readiness and response efforts.

Completeness of Race and Ethnicity Reporting in Person-Level COVID-19 Surveillance Data, 50 States, April 2020-December 2021

OBJECTIVES

Black, Indigenous, and People of Color have borne a disproportionate incidence of COVID-19 cases in the United States. However, few studies have documented the completeness of race and ethnicity reporting in national COVID-19 surveillance data. The objective of this study was to describe the completeness of race and ethnicity ascertainment in person-level data received by the Centers for Disease Control and Prevention (CDC) through national COVID-19 case surveillance.

METHODS

We compared COVID-19 cases with "complete" (ie, per Office of Management and Budget 1997 revised criteria) data on race and ethnicity from CDC person-level surveillance data with CDC-reported aggregate counts of COVID-19 from April 5, 2020, through December 1, 2021, in aggregate and by state.

RESULTS

National person-level COVID-19 case surveillance data received by CDC during the study period included 18 881 379 COVID-19 cases with complete ascertainment of race and ethnicity, representing 39.4% of all cases reported to CDC in aggregate (N = 47 898 497). Five states (Georgia, Hawaii, Nebraska, New Jersey, and West Virginia) did not report any COVID-19 person-level cases with multiple racial identities to CDC.

CONCLUSION

Our findings highlight a high degree of missing data on race and ethnicity in national COVID-19 case surveillance, enhancing our understanding of current challenges in using these data to understand the impact of COVID-19 on Black, Indigenous, and People of Color. Streamlining surveillance processes to decrease reporting incidence and align reporting requirements with an Office of Management and Budget-compliant collection of data on race and ethnicity would improve the completeness of data on race and ethnicity for national COVID-19 case surveillance.

Clinical and Demographic Factors Associated With COVID-19, Severe COVID-19, and SARS-CoV-2 Infection in Adults: A Secondary Cross-Protocol Analysis of 4 Randomized Clinical Trials

Importance

Current data identifying COVID-19 risk factors lack standardized outcomes and insufficiently control for confounders.

Objective

To identify risk factors associated with COVID-19, severe COVID-19, and SARS-CoV-2 infection.

Design, Setting, and Participants

This secondary cross-protocol analysis included 4 multicenter, international, randomized, blinded, placebo-controlled, COVID-19 vaccine efficacy trials with harmonized protocols established by the COVID-19 Prevention Network. Individual-level data from participants randomized to receive placebo within each trial were combined and analyzed. Enrollment began July 2020 and the last data cutoff was in July 2021. Participants included adults in stable health, at risk for SARS-CoV-2, and assigned to the placebo group within each vaccine trial. Data were analyzed from April 2022 to February 2023.

Exposures

Comorbid conditions, demographic factors, and SARS-CoV-2 exposure risk at the time of enrollment.

Main Outcomes and Measures

Coprimary outcomes were COVID-19 and severe COVID-19. Multivariate Cox proportional regression models estimated adjusted hazard ratios (aHRs) and 95% CIs for baseline covariates, accounting for trial, region, and calendar time. Secondary outcomes included severe COVID-19 among people with COVID-19, subclinical SARS-CoV-2 infection, and SARS-CoV-2 infection.

Results

A total of 57 692 participants (median [range] age, 51 [18-95] years; 11 720 participants [20.3%] aged ≥65 years; 31 058 participants [53.8%] assigned male at birth) were included. The analysis population included 3270 American Indian or Alaska Native participants (5.7%), 7849 Black or African American participants (13.6%), 17 678 Hispanic or Latino participants (30.6%), and 40 745 White participants (70.6%). Annualized incidence was 13.9% (95% CI, 13.3%-14.4%) for COVID-19 and 2.0% (95% CI, 1.8%-2.2%) for severe COVID-19. Factors associated with increased rates of COVID-19 included workplace exposure (high vs low: aHR, 1.35 [95% CI, 1.16-1.58]; medium vs low: aHR, 1.41 [95% CI, 1.21-1.65]; P < .001) and living condition risk (very high vs low risk: aHR, 1.41 [95% CI, 1.21-1.66]; medium vs low risk: aHR, 1.19 [95% CI, 1.08-1.32]; P < .001). Factors associated with decreased rates of COVID-19 included previous SARS-CoV-2 infection (aHR, 0.13 [95% CI, 0.09-0.19]; P < .001), age 65 years or older (aHR vs age <65 years, 0.57 [95% CI, 0.50-0.64]; P < .001) and Black or African American race (aHR vs White race, 0.78 [95% CI, 0.67-0.91]; P = .002). Factors associated with increased rates of severe COVID-19 included race (American Indian or Alaska Native vs White: aHR, 2.61 [95% CI, 1.85-3.69]; multiracial vs White: aHR, 2.19 [95% CI, 1.50-3.20]; P < .001), diabetes (aHR, 1.54 [95% CI, 1.14-2.08]; P = .005) and at least 2 comorbidities (aHR vs none, 1.39 [95% CI, 1.09-1.76]; P = .008). In analyses restricted to participants who contracted COVID-19, increased severe COVID-19 rates were associated with age 65 years or older (aHR vs <65 years, 1.75 [95% CI, 1.32-2.31]; P < .001), race (American Indian or Alaska Native vs White: aHR, 1.98 [95% CI, 1.38-2.83]; Black or African American vs White: aHR, 1.49 [95% CI, 1.03-2.14]; multiracial: aHR, 1.81 [95% CI, 1.21-2.69]; overall P = .001), body mass index (aHR per 1-unit increase, 1.03 [95% CI, 1.01-1.04]; P = .001), and diabetes (aHR, 1.85 [95% CI, 1.37-2.49]; P < .001). Previous SARS-CoV-2 infection was associated with decreased severe COVID-19 rates (aHR, 0.04 [95% CI, 0.01-0.14]; P < .001).

Conclusions and Relevance

In this secondary cross-protocol analysis of 4 randomized clinical trials, exposure and demographic factors had the strongest associations with outcomes; results could inform mitigation strategies for SARS-CoV-2 and viruses with comparable epidemiological characteristics.

Associations Between Insurance, Race and Ethnicity, and COVID-19 Hospitalization, Beyond Underlying Health Conditions: A Retrospective Cohort Study

Introduction

: People of lower socioeconomic position (SEP) and people of color (POC) experience higher risks of severe COVID-19, but understanding of these associations beyond the effect of underlying health conditions (UHCs) is limited. Moreover, few studies have focused on young adults, who have had the highest incidence of COVID-19 during much of the pandemic.

Methods

: We conducted a retrospective cohort study using electronic health record data from the University of Washington Medicine healthcare system. Our study population included individuals aged 18-39 years who tested positive for SARS-CoV-2 from February 2020 to March 2021. Using regression modeling, we estimated adjusted risk ratios (aRRs) and differences (aRDs) of COVID-19 hospitalization by SEP (using health insurance as a proxy) and race and ethnicity. We adjusted for any UHC to examine these associations beyond the effect of UHCs. Results: Among 3,101 individuals, the uninsured/publicly insured had a 1.9-fold higher risk of hospitalization (aRR [95% CI]=1.9 [1.0, 3.6]) and 9 additional hospitalizations per 1,000 SARS-CoV-2 positive persons (aRD [95% CI]=9 [-1, 20]) compared to the privately insured. Hispanic or Latine, non-Hispanic (NH) Asian, NH Black, and NH Native Hawaiian or Pacific Islander patients had a 1.5-, 2.7-, 1.4-, and 2.1-fold-higher risk of hospitalization (aRR [95% CI]=1.5 [0.7, 3.1]; 2.7 [1.1, 6.5]; 1.4 [0.6, 3.3]; 2.1 [0.5, 9.1]), respectively, compared to NH White patients. Conclusions: Though they should be interpreted with caution given low precision, our findings suggest the increased risk of COVID-19 hospitalization among young adults of lower SEP and young adults of color may be driven by forces other than UHCs, including social determinants of health.

Lessons Learned from Health Disparities in Coronavirus Disease-2019 in the United States

In the United States, the coronavirus disease-2019 (COVID-19) pandemic has disproportionally affected Black, Latinx, and Indigenous populations, immigrants, and economically disadvantaged individuals. Such historically marginalized groups are more often employed in low-wage jobs without health insurance and have higher rates of infection, hospitalization, and death from COVID-19 than non-Latinx White individuals. Mistrust in the health care system, language barriers, and limited health literacy have hindered vaccination rates in minorities, further exacerbating health disparities rooted in structural, institutional, and socioeconomic inequities. In this article, we discuss the lessons learned over the last 2 years and how to mitigate health disparities moving forward.

Effectiveness of the COVID-19 vaccines on preventing symptomatic SARS-CoV-2 infections and hospitalizations in Southwestern Alaska, January-December 2021

The population in rural southwest Alaska has been disproportionately affected by COVID-19. To assess the benefit of COVID-19 vaccines, we analyzed data from the regional health system. We estimated vaccine effectiveness (VE) during January 16-December 3, 2021, against symptomatic SARS-CoV-2 infection after a primary series or booster dose, and overall VE against hospitalization. VE of a primary series against symptomatic infection among adult residents was 91.3% (95% CI: 85.7, 95.2) during January 16-May 7, 2021, 50.3% (95% CI, 41.1%-58.8%) during July 17-September 24, and 37.0% (95% CI, 27.8-45.0) during September 25-December 3, 2021; VE of a booster dose during September 25-December 3, 2021, was 92.1% (95% CI: 87.2-95.2). During the overall study period, VE against hospitalization was 91.9% (95% CI: 85.4-95.5). COVID-19 vaccination offered strong protection against hospitalization and a booster dose restored protection against symptomatic infection.

The Mashpee Wampanoag Tribe COVID-19 Pandemic Response: A Case Study

During the COVID-19 pandemic, the Mashpee Wampanoag Tribe of southeastern Massachusetts requested US federal government assistance. The tribe collaborated successfully with many partners in response to the COVID-19 pandemic. In this case study, the authors describe the tribe's collaboration with a team from the Centers for Disease Control and Prevention who assisted with epidemiology, case investigation and contact tracing, infection prevention and control, community prevention measures, and vaccination. Collaborative efforts resulted in over 200 public service announcements and videos produced, 55 tribal staff trained, 222 people followed up for contact tracing, 80% of tribal members vaccinated, and 5 COVID-19 response plans written. Deployment response teams learned elements essential to partnering with a Native American tribe. This successful partnership during a rapidly evolving pandemic suggests the US federal government and tribal nations can work together effectively to build response capacity for future infectious disease threats.

Multisystem Inflammatory Syndrome in American Indian/Alaska Native Children, March 2020-May 2022

We describe characteristics, clinical features and outcomes of multisystem inflammatory syndrome in children among American Indian and Alaska Native (AI/AN) persons compared with non-Hispanic white persons. AI/AN patients with multisystem inflammatory syndrome in children were younger, more often obese, and from areas of higher social vulnerability. A greater proportion of AI/AN patients had severe respiratory involvement and shock.

Integrating traditional ecological knowledge into US public land management: Knowledge gaps and research priorities

Traditional Ecological Knowledge (TEK) is an understanding of natural systems acquired through long-term human interactions with particular landscapes. Traditional knowledge systems complement western scientific disciplines by providing a holistic assessment of ecosystem dynamics and extending the time horizon of ecological observations. Integration of TEK into land management is a key priority of numerous groups, including the United Nations and US public land management agencies; however, TEK principles have rarely been enshrined in national-level US policy or planning. We review over 20 years of TEK literature to describe key applications of TEK to ecological understanding, conservation, restoration and land management generally. By identifying knowledge gaps, we highlight research avenues to support the integration of TEK into US public land management, in order to enhance conservation approaches and participation of historically underrepresented groups, particularly American Indian Tribes, in the stewardship of ancestral lands critical to the practice of living cultural traditions.

Indigenous peoples and the COVID-19 pandemic: a systematic scoping review

Past influenza pandemics including the Spanish flu and H1N1 have disproportionately affected Indigenous Peoples. We conducted a systematic scoping review to provide an overview of the state of understanding of the experience of Indigenous peoples during the first 18 months of the COVID-19 pandemic, in doing so we capture the state of knowledge available to governments and decision makers for addressing the needs of Indigenous peoples in these early months of the pandemic. We addressed three questions: (a) How is COVID-19 impacting the health and livelihoods of Indigenous peoples, (b) What system level challenges are Indigenous peoples experiencing, (c) How are Indigenous peoples responding? We searched Web of Science, Scopus, and PubMed databases and UN organization websites for publications about Indigenous peoples and COVID-19. Results were analyzed using descriptive statistics and content analysis. A total of 153 publications were included: 140 peer-reviewed articles and 13 from UN organizations. Editorial/commentaries were the most (43%) frequent type of publication. Analysis identified Indigenous peoples from 19 different countries, although 56% of publications were centered upon those in Brazil, United States, and Canada. The majority (90%) of articles focused upon the general adult population, few (<2%) used a gender lens. A small number of articles documented COVID-19 testing (0.04%), incidence (18%), or mortality (16%). Five themes of system level challenges affecting exposure and livelihoods evolved: ecological, poverty, communication, education and health care services. Responses were formal and informal strategies from governments, Indigenous organizations and communities. A lack of ethnically disaggregated health data and a gender lens are constraining our knowledge, which is clustered around a limited number of Indigenous peoples in mostly high-income countries. Many Indigenous peoples have autonomously implemented their own coping strategies while government responses have been largely reactive and inadequate. To 'build back better' we must address these knowledge gaps.

Unique Genomic Epidemiology of COVID-19 in the White Mountain Apache Tribe, April to August 2020, Arizona

The first case of coronavirus disease 2019 (COVID-19) within the White Mountain Apache Tribe (WMAT) in Arizona was diagnosed almost 1 month after community transmission was recognized in the state. Aggressive contact tracing allowed for robust genomic epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and subsequent phylogenetic analyses implicated only two virus introductions, which resulted in the spread of two unique viral lineages on the reservation. The phylogenies of these lineages reflect the nature of the introductions, the remoteness of the community, and the extraordinarily high attack rates. The timing and space-limited nature of the outbreaks validate the public health tracing efforts involved, which were illustrated by multiple short transmission chains over a period of several weeks, eventually resulting in extinction of the lineages. Comprehensive sampling and successful infection control efforts are illustrated in both the effective population size analyses and the limited mortality outcomes. The rapid spread and high attack rates of the two lineages may be due to a combination of sociological determinants of the WMAT and a seemingly enhanced transmissibility. The SARS-CoV-2 genomic epidemiology of the WMAT demonstrates a unique local history of the pandemic and highlights the extraordinary and successful efforts of their public health response. IMPORTANCE This article discusses the introduction and spread of two unique viral lineages of SARS-CoV-2 within the White Mountain Apache Tribe in Arizona. Both genomic sequencing and traditional epidemiological strategies (e.g., contract tracing) were used to understand the nature of the spread of both lineages. Beyond providing a robust genomic analysis of the epidemiology of the outbreaks, this work also highlights the successful efforts of the local public health response.

Racial, ethnic, and sex disparities in the incidence and cognitive symptomology of long COVID-19

BACKGROUND

The pandemic has highlighted and exacerbated health inequities in both acute coronavirus disease 2019 (COVID-19) and its longer-term sequelae. Given the heterogeneity in definitions of long COVID and the lack of centralized registries of patients with the disease, little is known about the differential prevalence among racial, ethnic, and sex subgroups. This study examines long COVID among Black, White, Asian, and Hispanic Americans and evaluates differences in the associated cognitive symptomology.

METHOD

Data from four releases of the Census Bureau's Household Pulse Survey detailing COVID-19 incidence and the duration and type of symptoms among a nationally representative sample of adults from June 1, 2022, through October 17, 2022, were combined. Binary logistic regression assessed the relative likelihood of long COVID among those who had been diagnosed COVID between racial, ethnic, and sex subgroups. Among those reporting long COVID, differences in the prevalence of difficulty understanding and difficulty remembering were assessed. Empirical models accounted for household, regional, vaccination, and insurance differences between respondents. Two-stage selection models were applied to test the robustness of the results.

RESULTS

Among respondents who tested positive for COVID-19, Blacks (OR=1.097, CI=1.034-1.163), females (OR=1.849, CI=1.794-1.907), and Hispanics (OR=1.349, CI=1.286-1.414) were more likely to experience long COVID (symptoms lasting for 3 months or longer) compared to Whites, males, and non-Hispanics respectively. However, those with private health insurance (OR=0.634, CI=0.611-0.658) and who received the COVID vaccine (OR=0.901, CI=0.864-0.94) were less likely to have endured COVID symptoms than their counterparts. Symptoms of long COVID varied significantly between population subgroups. Compared to Whites, Blacks were more likely to have trouble remembering (OR=1.878, CI=1.765-1.808) while Hispanics were more likely to report difficult understanding (OR=1.827, CI=1.413, 2.362). Females, compared to males, were less likely to experience trouble understanding (OR=0.664, CI=0.537, 0.821), but more likely to report trouble remembering (OR=1.34, CI=1.237, 1.451).

CONCLUSIONS

Long COVID is more prevalent among Blacks, Hispanics, and females, but each group appears to experience long COVID differently. Therefore, additional research is needed to determine the best method to treat and manage this poorly understood condition.

Evaluation of a Synchronous, Online Diabetes Nutrition Education Program for American Indians and Alaska Natives With Type 2 Diabetes: Facilitators and Participants' Experiences

OBJECTIVE

To explore the overall experiences of key players involved in a culturally adapted, online, synchronous diabetes nutrition education program across 5 reservation tribal and intertribal urban Indian clinics.

METHODS

A multimethods design, including postclass surveys with Likert-scale and short-answer questions, was completed after each of the 5 classes. Participants (n = 54) and class facilitators/coordinators (n = 10) completed postclass surveys (n = 189 and 58, respectively). A subset of participants (n = 24) and all class facilitators/coordinators (n = 10) engaged in online focus groups after the conclusion of program implementation. Qualitative thematic methods and frequency distributions were used to analyze the data.

RESULTS

Most participants reported that the classes were enjoyable (94%), culturally respectful (77%), and easily accessed online (68%). Qualitative themes included (1) class satisfaction, (2) class improvements, (3) preference for class facilitator, and (4) recommendations to improve recruitment and retention.

CONCLUSIONS AND IMPLICATIONS

These findings will guide program modifications to provide improved diabetes nutrition education for American Indians and Alaska Natives adults with type 2 diabetes.

Hospitalizations for COVID-19 Among American Indian and Alaska Native Adults (≥ 18 Years Old) - New Mexico, March-September 2020

To assess the presence of racial disparity during the COVID-19 pandemic, the New Mexico Department of Health (NMDOH) sought to compare the case rate and risk of hospitalization between persons of American Indian and Alaska Native (AI/AN) race and persons of other races in New Mexico from March 1 through September 30, 2020. Using NMDOH COVID-19 surveillance data, age-standardized COVID-19 case and hospitalization risks were compared between adults (≥ 18 years old) of AI/AN and other races. We compared age, sex, and comorbidities between hospitalized adults of AI/AN and other races. Among AI/AN persons, age-standardized COVID-19 case and hospitalization risks were 3.7 (95% CI 3.6-3.8) and 10.5 (95% CI 9.8-11.2) times as high as persons of other races. Hospitalized AI/AN patients had higher proportions of diabetes mellitus (48% vs. 33%, P < 0.0001) and chronic liver disease (8% vs. 5%, P = 0.0004) compared to hospitalized patients of other races. AI/AN populations have disproportionately higher risk of COVID-19 hospitalization compared to other races in New Mexico. By identifying etiologic factors that contribute to inequity, public health partners can implement culturally appropriate health interventions to mitigate disease severity within AI/AN communities.

Optimal control of the coronavirus pandemic with both pharmaceutical and non-pharmaceutical interventions

Coronaviruses are types of viruses that are widely spread in humans, birds, and other mammals, leading to hepatic, respiratory, neurologic, and enteric diseases. The disease is presently a pandemic with great medical, economical, and political impacts, and it is mostly spread through physical contact. To extinct the virus, keeping physical distance and taking vaccine are key. In this study, a dynamical transmission compartment model for coronavirus (COVID-19) is designed and rigorously analyzed using Routh-Hurwitz condition for the stability analysis. A global dynamics of mathematical formulation was investigated with the help of a constructed Lyapunov function. We further examined parameter sensitivities (local and global) to identify terms with greater impact or influence on the dynamics of the disease. Our approach is data driven to test the efficacy of the proposed model. The formulation was incorporated with available confirmed cases from January 22, 2020, to December 20, 2021, and parameterized using real-time series data that were collected on a daily basis for the first 705 days for fourteen countries, out of which the model was simulated using four selected countries: USA, Italy, South Africa, and Nigeria. A least square technique was adopted for the estimation of parameters. The simulated solutions of the model were analyzed using MAPLE-18 with Runge-Kutta-Felberg method (RKF45 solver). The model entrenched parameters analysis revealed that there are both disease-free and endemic equilibrium points. The solutions depicted that the free equilibrium point for COVID-19 is asymptotic locally stable, when the epidemiological reproduction number condition ( R 0 < 1 ) . The simulation results unveiled that the pandemic can be controlled if other control measures, such as face mask wearing in public areas and washing of hands, are combined with high level of compliance to physical distancing. Furthermore, an autonomous derivative equation for the five-dimensional deterministic was done with two control terms and constant rates for the pharmaceutical and non-pharmaceutical strategies. The Lagrangian and Hamilton were formulated to study the model optimal control existence, using Pontryagin's Maximum Principle describing the optimal control terms. The designed objective functional reduced the intervention costs and infections. We concluded that the COVID-19 curve can be flattened through strict compliance to both pharmaceutical and non-pharmaceutical strategies. The more the compliance level to physical distance and taking of vaccine, the earlier the curve is flattened and the earlier the economy will be bounce-back.

Rates of and Factors Associated With Primary and Booster COVID-19 Vaccine Receipt by US Veterans, December 2020 to June 2022

IMPORTANCE

COVID-19 vaccination rates remain suboptimal in the US. Identifying factors associated with vaccination can highlight existing gaps and guide targeted interventions to improve vaccination access and uptake.

OBJECTIVE

To describe incidence and patient characteristics associated with primary, first booster, and second booster COVID-19 vaccination in the Veterans Health Administration (VHA).

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study assessed US veterans receiving care in VHA medical centers and outpatient clinics as of December 1, 2020. All VHA enrollees with an inpatient, outpatient, or telehealth encounter in VHA as well as a primary care physician appointment in the preceding 24 months were included.

EXPOSURES

Demographic characteristics, place of residence, prior SARS-CoV-2 infection, and underlying medical conditions.

MAIN OUTCOMES AND MEASURES

Cumulative incidence of primary, first booster, and second booster COVID-19 vaccination through June 2022. Cox proportional hazards regression was used to identify factors independently associated with COVID-19 vaccination.

RESULTS

Among 5 632 413 veterans included in the study, 5 094 392 (90.4%) were male, the median (IQR) age was 66 (51-74) years, 1 032 334 (18.3%) were Black, 448 714 (8.0%) were Hispanic, and 4 202 173 (74.6%) were White. Through June 2022, cumulative incidences were 69.0% for primary vaccination, 42.9% for first booster, and 9.3% for second booster. Cumulative incidence for primary vaccination increased with increasing age, from 46.9% (95% CI, 46.8%-47.0%) among veterans aged 18 to 49 years to 82.9% (95% CI, 82.8%-83.0%) among veterans aged 80 to 84 years. More Black veterans completed primary vaccination (71.7%; 95% CI, 71.6%-71.8%) compared with White veterans (68.9%; 95% CI, 68.9%-69.0%), and more urban-dwelling veterans completed primary vaccination (70.9%; 95% CI, 70.9%-71.0%) compared with highly rural-dwelling veterans (63.8%; 95% CI, 63.4%-64.1%). Factors independently associated with higher likelihood of both primary and booster vaccination included older age, female sex, Asian or Black race, Hispanic ethnicity, urban residence, and lack of prior SARS-CoV-2 infection.

CONCLUSIONS AND RELEVANCE

In this cohort study of US veterans, COVID-19 vaccination coverage through June 2022 was suboptimal. Primary vaccination can be improved among younger, rural-dwelling veterans. Greater uptake of booster vaccination among all veterans is needed.

Developing an Equitable COVID-19 Pandemic Response: Lessons Learned From a Multisectoral Public Health Partnership in Guadalupe, Arizona

The COVID-19 pandemic has disproportionately impacted communities that are medically underserved across the United States, including the 6,700 Hispanic and Pascua Yaqui residents of Guadalupe, Arizona. In May 2020, Guadalupe experienced new COVID-19 cases at a rate 13.9 times as high as its surrounding county, urging town leadership to establish the Guadalupe Community Response Team (GCRT), a multisectoral network of community, academic, and public health partners. The objectives of the GCRT were to: (a) increase access to health and support services; (b) develop novel and intensive outreach efforts; and (c) build partnerships to strengthen public health capacity. From June 2020 to December 2021, the GCRT provided door-to-door case investigation and resource provision, coordinated testing and vaccination events, created public health communications, and developed COVID-19 guidance for cultural gatherings. These interventions were implemented in an effort to reduce community transmission of SARS-CoV-2 and increase equitable access to testing, vaccination, and social support resources. Cultural leaders, such as promotores de salud and Yaqui Cultural Specialists, were integral in building trust among community members. The GCRT provides valuable lessons learned on the importance of implementing a culturally grounded approach to COVID-19 mitigation to increase equitable access to health services during a public health emergency.

An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA

BACKGROUND

The objective of the study was to measure the risk of death due to COVID-19 in relation to individuals' characteristics, and severity of their disease during the dominant periods of Alpha, Delta, and Omicron variants have influenced mortality rates.

METHODS

This study was conducted using COVID-19 Centers for Disease Control and Prevention (CDC) Case Surveillance Public Data Taskforce for 57 states, and United States territories between January 1, 2020 and March 20, 2022. Multivariable binary Hyperbolastic regression of type I was used to analyzes the data.

RESULTS

Seniors and ICU-admitted patients had the highest risk of death. For each additional percent increase in fully vaccinated individuals, the odds of death deceased by 1%. The odds of death prior to vaccine availability, compared to post vaccine availability, was 1.27. When comparing the time periods each variant was dominant, the odds of death was 3.45-fold higher during Delta compared to Alpha. All predictor variables had P-values ≤.001.

CONCLUSION

There was a noticeable difference in the odds of death among subcategories of age, race/ethnicity, sex, PMCs, hospitalization, ICU, vaccine availability, variant, and percent of fully vaccinated individuals.

Building Trust and Awareness to Increase AZ Native Nation Participation in COVID-19 Vaccines

The goal of this study was to establish effective, culturally appropriate strategies to enhance participation of American Indian/Alaska Native (AI/AN) communities in prevention and treatment of COVID-19, including vaccine uptake. Thirteen Community Health Representatives (CHRs) from three Arizona Native nations tailored education materials to each community. CHRs delivered the intervention to over 160 community members and administered a pre-posttest to assess trusted sources of information, knowledge, and self-efficacy and intention regarding COVID-19 vaccines. Based on pre-posttest results, doctors/healthcare providers and CHRs were the most trusted health messengers for COVID-19 information; contacts on social media, the state and federal governments, and mainstream news were among the least trusted. Almost two-thirds of respondents felt the education session was relevant to their community and culture, and more than half reported using the education materials to talk to a family member or friend about getting vaccinated. About 67% trusted the COVID-19 information provided and 74% trusted the CHR providing the information. Culturally and locally relevant COVID-19 vaccine information was welcomed and used by community members to advocate for vaccination. The materials and education provided by CHRs were viewed as helpful and emphasized the trust and influence CHRs have in their communities.

A qualitative study of COVID-19 vaccine decision making among urban Native Americans

Background

Significant disparities in COVID-19 morbidity and mortality exist for Native American (NA) people, the majority of whom live in urban areas. COVID-19 vaccination is a key strategy for mitigating these disparities; however, vaccination disparities affect NA communities. The current study investigated COVID-19 vaccine decision-making before widespread vaccine rollout occurred, among urban NA communities. We aimed to understand vaccine decision-making factors to develop recommendations about COVID-19 vaccine outreach.

Methods

We conducted three in-depth virtual focus groups with 17 NA adults living in an urban community (Los Angeles County) between December 2020 and January 2021. Participants were recruited through NA community-based organizations and community stakeholders. Reflexive thematic analysis was conducted using Atlas.ti.

Findings

Participants in this study identified two overarching themes with implications for health vaccination campaigns. First, participants described a need for tailored information and outreach, including NA vaccine outreach that addresses misconceptions about vaccine development to calm fears of experimentation and support communication of vaccine evidence specific to NA people. Second, participants suggested strategies to improve public health resources in the urban NA community, such as the need for unified, proactive communication across trusted NA entities, navigation support to improve vaccine accessibility, and adequately resourcing health partnerships with and among trusted NA community agencies for improved reach.

Conclusion

In this qualitative study, we found that urban NA participants reported several factors that affected their vaccine decision-making, including a lack of tailored information for their communities. Our findings also underscore the need to work with tribes, tribal leadership, and urban NA serving organizations to coordinate vaccine communication and distribution to urban communities where the majority of NAs now reside. Further, these findings have implications for COVID-19 vaccine outreach among urban NA communities and demonstrate the need for clear and tailored engagement about the COVID-19 vaccine.

COVID-19 Vaccination in Migrants and Refugees: Lessons Learnt and Good Practices

The COVID-19 pandemic has exacerbated inequalities between low- and high-income countries. Within the latter, a greater impact is seen in the poorest and most vulnerable people, including refugees, asylum seekers, and migrants. They all may experience poor access to quality healthcare or have suboptimal health-seeking behavior, distrust of governments, or fear of detention and deportation if seeking healthcare. Some refugees and migrants may face multiple barriers to vaccination and access to health systems that are relevant to the administration of COVID-19 vaccines, despite the growing inclusion of these populations in public health policies. Several good practices have emerged to ensure the inclusion of these populations in vaccination and healthcare for COVID-19 globally. However, inequalities persist between high-income and low-/middle-income populations. The inequalities in COVID-19 vaccination reflect the already existing ones in common health services worldwide. Further efforts are necessary to reduce such disparities, to protect the vulnerable, and, by extension, the general population. The initiatives organized, both at global and local levels, to support vaccination campaigns represent a notable example of how complex multilevel structures, such as health systems, as well as limited resource health services, can successfully face, even during a health emergency, the challenges related to global health issues.

One Vax Two Lives: a social media campaign and research program to address COVID-19 vaccine hesitancy in pregnancy

The COVID-19 pandemic has disproportionately affected pregnant people by increasing health risks of maternal morbidity and mortality, stillbirth, and preterm birth. Although numerous studies have supported the safety and efficacy of COVID-19 vaccination in pregnancy in preventing or mitigating the risk for these adverse outcomes, many pregnant people remain hesitant. Approximately half of US adults regularly consume news from social media platforms, which are a fertile ground for the spread of vaccine disinformation. The lack of information regarding COVID-19 vaccine safety early in the pandemic fueled vaccine myths targeting the fears of pregnant people about vaccination risks. Saddened by the spike in maternal deaths of unvaccinated individuals during the COVID-19 Delta variant surge in the fall of 2021, we created a social media campaign to promote scientific communication regarding the risks of COVID-19 disease in pregnancy and the benefits of vaccination. We called the campaign "One Vax Two Lives," which refers to the ability of 1 maternal vaccine to benefit the health and lives of both the pregnant individual and their fetus. We present a blueprint of how we leveraged a large, interdisciplinary student workforce to create a social media campaign and research program studying vaccine hesitancy, which can be replicated by other groups. Community engagement and partnerships with key stakeholders, such as the Washington State Department of Health, were essential for amplifying the campaign and providing our team with feedback on content and approach. We present the analytics of our social media advertisements, web articles, and video content that helped inform the iterative design process of the multimedia content. Moving forward, we are launching collaborative research programs to study vaccine hesitancy and inform the development of new social media content designed for pregnant individuals who are: (1) Spanish-speaking Hispanic/Latina/x, (2) Black or Afro-Latinx, and (3) residents of rural communities in the State of Washington. Data from these mixed methods studies will inform new communication campaigns to reach vaccine-hesitant individuals. Finally, we discuss lessons learned and how the most impactful elements of the campaign can be translated to related areas of maternal public health.

Innovative and Integrated Contact Tracing: Indian Health Service, Arizona, December 2020-January 2021

SARS-CoV-2 has exposed limitations of public health mitigation measures such as traditional case investigations and contact tracing. The Whiteriver Service Unit is a rural, acute care hospital on the Fort Apache Indian Reservation in Arizona with integrated health care delivery and public health services. During the first wave of COVID-19 cases in May-June 2020, we developed an innovative case investigation contact tracing approach that relied heavily on cross-trained personnel, in-person encounters, and baseline clinical evaluations. A second COVID-19 surge during December 13, 2020-January 31, 2021, caused incidence to peak at 413 cases per 100 000 community members. During that second surge, we investigated all 769 newly identified COVID-19 cases and notified 1911 (99.4%) of 1922 reported contacts. Median time interval from nasopharyngeal specimen collection to both case investigation and contact notification was 0 days (range, 0-5 days and 0-13 days, respectively). Our primary lesson was the importance of cross-trained personnel who integrated tasks along the testing-tracing continuum (eg, in-person interviews, prompt referral for additional testing and evaluation). These successive steps fed forward to identify new cases and their respective contacts. Our innovative community-based approach was both successful and efficient; our experience suggests that when adapted based on local needs, case investigation and contact tracing remain valuable and feasible public health tools, even in rural, resource-limited settings.

Coloniality and contagion: COVID-19 and the disposability of women of color in feminized labor sectors

Grounded in the historical conditions of epidemics intertwined with state power, we examine the factors that contribute to women of color's high proximity to contagion. We build on significant contributions to scholarship on the racial and sexual politics of work and the colonial history of contagion to argue that colonialism is key in the state's weaponization of illness against entire populations. This is crucial to decipher how women of color in feminized labor sectors, in our case, cleaning services and nursing, confront death during the COVID-19 pandemic. This transforms readers' understanding of governmentality within public health crizes and the roles of colonial state institutions in administering death in raced, gendered, and classed ways. We conclude that future studies focused on pandemics, labor, race, and gender must account for the ways in which colonialism positions feminized workers as fungible in structures of response to mass crizes.

Missing science: A scoping study of COVID-19 epidemiological data in the United States

Systematic approaches to epidemiologic data collection are critical for informing pandemic responses, providing information for the targeting and timing of mitigations, for judging the efficacy and efficiency of alternative response strategies, and for conducting real-world impact assessments. Here, we report on a scoping study to assess the completeness of epidemiological data available for COVID-19 pandemic management in the United States, enumerating authoritative US government estimates of parameters of infectious transmission, infection severity, and disease burden and characterizing the extent and scope of US public health affiliated epidemiological investigations published through November 2021. While we found authoritative estimates for most expected transmission and disease severity parameters, some were lacking, and others had significant uncertainties. Moreover, most transmission parameters were not validated domestically or re-assessed over the course of the pandemic. Publicly available disease surveillance measures did grow appreciably in scope and resolution over time; however, their resolution with regards to specific populations and exposure settings remained limited. We identified 283 published epidemiological reports authored by investigators affiliated with U.S. governmental public health entities. Most reported on descriptive studies. Published analytic studies did not appear to fully respond to knowledge gaps or to provide systematic evidence to support, evaluate or tailor community mitigation strategies. The existence of epidemiological data gaps 18 months after the declaration of the COVID-19 pandemic underscores the need for more timely standardization of data collection practices and for anticipatory research priorities and protocols for emerging infectious disease epidemics.

COVID-19 Among Non-Hispanic American Indian and Alaska Native People Residing in Urban Areas Before and After Vaccine Rollout-Selected States and Counties, United States, January 2020-October 2021

Objectives. To evaluate COVID-19 disparities among non-Hispanic American Indian/Alaska Native (AI/AN) and non-Hispanic White persons in urban areas. Methods. Using COVID-19 case surveillance data, we calculated cumulative incidence rates and risk ratios (RRs) among non-Hispanic AI/AN and non-Hispanic White persons living in select urban counties in the United States by age and sex during January 22, 2020, to October 19, 2021. We separated cases into prevaccine (January 22, 2020-April 4, 2021) and postvaccine (April 5, 2021-October 19, 2021) periods. Results. Overall in urban areas, the COVID-19 age-adjusted rate among non-Hispanic AI/AN persons (n = 47 431) was 1.66 (95% confidence interval [CI] = 1.36, 2.01) times that of non-Hispanic White persons (n = 2 301 911). The COVID-19 prevaccine age-adjusted rate was higher (8227 per 100 000; 95% CI = 6283, 10 770) than was the postvaccine rate (3703 per 100 000; 95% CI = 3235, 4240) among non-Hispanic AI/AN compared with among non-Hispanic White persons (2819 per 100 000; 95% CI = 2527, 3144; RR = 1.31; 95% CI = 1.17, 1.48). Conclusions. This study highlights disparities in COVID-19 between non-Hispanic AI/AN and non-Hispanic White persons in urban areas. These findings suggest that COVID-19 vaccination and other public health efforts among urban AI/AN communities can reduce COVID-19 disparities in urban AI/AN populations. (Am J Public Health. 2022;112(10):1489-1497. https://doi.org/10.2105/AJPH.2022.306966).

Climate change and COVID-19: Assessing the vulnerability and resilience of U.S. Indigenous communities to syndemic crises

The rapid emergence of the COVID-19 pandemic and the insidiously evolving climate crisis represent two of the most pressing public health threats to Indigenous Peoples in the United States. Understanding the ways in which these syndemics uniquely impact Indigenous Peoples, given the existing health disparities for such communities, is essential if we are to address modifiable root causes of health vulnerability and devise effective and equitable strategies to protect and improve health in the evolving climate landscape. We explore the compounding burden of the COVID-19 pandemic and climate change on Indigenous Peoples' health, and present several case studies which outline novel Indigenous approaches and perspectives that address climate change, COVID-19 and future health threats.

Global occurrence of SARS-CoV-2 in environmental aquatic matrices and its implications for sanitation and vulnerabilities in Brazil and developing countries

This paper includes a systematic review of the SARS-CoV-2 occurrence in environmental aquatic matrices and a critical sanitation analysis. We discussed the interconnection of sanitation services (wastewater, water supply, solid waste, and stormwater drainage) functioning as an important network for controlling the spread of SARS-CoV-2 in waters. We collected 98 studies containing data of the SARS-CoV-2 occurrence in aquatic matrices around the world, of which 40% were from developing countries. Alongside a significant number of people infected by the virus, developing countries face socioeconomic deficiencies and insufficient public investment in infrastructure. Therefore, our study focused on highlighting solutions to provide sanitation in developing countries, considering the virus control in waters by disinfection techniques and sanitary measures, including alternatives for the vulnerable communities. The need for multilateral efforts to improve the universal coverage of sanitation services demands urgent attention in a pandemic scenario.

The Role of Community-Level Factors on Disparities in COVID-19 Infection Among American Indian/Alaska Native Veterans

OBJECTIVES

American Indian and Alaska Native (AI/AN) communities have been disproportionately affected by the coronavirus disease 2019 (COVID-19) pandemic. This study examines whether neighborhood characteristics mediate AI/AN versus White-non-Hispanic Veteran COVID-19 infection disparities, and whether mediation differs based on proximity to reservations.

METHODS

Using Veteran Health Administration's (VHA) national database of VHA users evaluated for COVID-19 infection (3/1/2020-8/25/2020), we examined whether census tract neighborhood characteristics (percent households overcrowded, without complete plumbing, without kitchen plumbing, and neighborhood socioeconomic status [n-SES]) mediated racial disparities in COVID-19 infection, using inverse odds-weighted logistic models controlling for individual-level characteristics. Using moderated mediation analyses, we assessed whether neighborhood mediating effects on disparities differed for those residing in counties containing/near federally recognized tribal lands (i.e., Contract Health Service Delivery Area [CHSDA] counties) versus not.

RESULTS

The percent of households without complete plumbing, percent without kitchen plumbing, and n-SES partially mediated AI/AN-White-non-Hispanic COVID-19 infection disparities (accounting for 17-35% of disparity) to a similar extent in CHSDA and non-CHSDA counties. The percent of households without kitchen plumbing had stronger mediating effects for CHSDA than non-CHSDA residents.

CONCLUSIONS

Neighborhood-level social determinants of health may contribute to the disproportionate COVID-19 infection burden on AI/ANs; differences are exacerbated among AI/ANs living near reservations.

Best of ARM: Evaluating engagement in multisector community health networks: The case of tribal organizations

OBJECTIVE

To quantify variation in public health system engagement with tribal organizations across a national sample of communities and to identify predictors of engagement.

DATA SOURCES

We used 2018 National Longitudinal Survey of Public Health Systems data, a nationally representative cohort of the US public health systems.

STUDY DESIGN

Social network analysis measures were computed to indicate the extent of tribal organization participation in public health networks and to understand the sectors and social services that engage with tribal organizations in public health activities. Two-part regression models estimated predictors of tribal engagement.

DATA COLLECTION

A stratified random sample of local public health agencies was surveyed, yielding 574 respondents. An additional cohort of oversampled respondents was also surveyed to include jurisdictions from the entire state upon the request of their respective state health departments (n = 154). Analyses were restricted to jurisdictions with a nearby American Indian and Alaska Native (AI/AN) serving health facility, yielding a final sample size of 258 local public health systems.

PRINCIPAL FINDINGS

When an AI/AN serving health facility was present in the region, tribal organizations participated in 28% of public health networks and 9% of implemented public health activities. Networks with tribal engagement were more comprehensive in terms of the breadth of sectors and social services participating in the network and the scope of public health activities implemented relative to networks without tribal engagement. The likelihood of tribal engagement increased significantly with the size of the AI/AN population, the presence of a tribal facility with Indian Health Service funding in the region, and geographic proximity to reservation land (p < 0.10).

CONCLUSIONS

The vast majority of public health networks do not report engagement with tribal organizations. Even when AI/AN serving health facilities are present, reported engagement of tribal organizations remains low.

The differential impact of COVID-19 on mental health: Implications of ethnicity, sexual orientation, and disability status in the United States

The COVID-19 pandemic's effects on mental health interact with preexisting health risks and disparities to impact varying populations differently. This study explored the relationship between demographic variables (e.g., ethnicity, sexual orientation, and disability status), distress and mental health (e.g., depression, anxiety, somatic complaints, and pandemic distress), and vulnerability factors for COVID-19 (e.g., personal health vulnerabilities, community members' health vulnerabilities, and environmental exposure risks at work or home). An online cross-sectional study was conducted from 18 June to 17 July 2020, reflecting the impact of early phase COVID-19 pandemic and related shelter-in-place measures in the United States. Participants were adults residing in the United States (N = 594), with substantial subsamples (N ≥ 70) of American Indian, Asian American, African-American, and Hispanic and/or Latinx participants, as well as people with disabilities and sexual minorities. Outcomes measured were depression, hopelessness, somatic complaints, anxiety-related disorders, locus of control (LOC), and a novel measure of pandemic-related distress. Data were analyzed using analyses of covariance (ANCOVA), chi-square test, and correlation coefficients. Generally, younger individuals, and those with less financial power-across all identities-suffered more distress. When controlling for age, lower financial power was associated with higher scores on the Center for Epidemiologic Studies Depression Scale-Revised (CESD-R; r = -0.21, p = < 0.001), Beck Hopelessness Scale (BHS; r = -0.17, p < 0.001), Patient Health Questionnaire-15 (PHQ-15; r = -0.09, p = 0.01), Screen for Child Anxiety Related Emotional Disorders for Adults Panic Disorder (SCARED-A PD; r = -0.14, p < 0.001), SCARED-A generalized anxiety disorder (GAD; r = -0.13, p = 0.002), SCARED-A obsessive-compulsive disorder (OCD; r = -0.08, p = 0.04), and the COVID-19 Pandemic Distress restriction/disconnection scale (C19PDS; r = -0.10, p = 0.009). In addition, disparities were found, in general, for marginalized identities by gender, sexual orientation, and disability status. Importantly, each ethnicity subsample showed a unique pattern of relationships between COVID-19 risk variables and mental health symptoms. The results support the hypothesis that any pandemic may amplify preexisting social and financial disparities. Overall, interventions at the clinical, governmental, or health equity level should take into consideration the needs of vulnerable groups.

Self-reported Illness Experiences and Psychosocial Outcomes for Reservation-Area American Indian Youth During COVID-19

IMPORTANCE

Impacts of COVID-19 on reservation-area American Indian youth are unknown and may be substantial owing to the significant COVID-19 morbidity and mortality experienced by American Indian populations.

OBJECTIVE

To measure self-reported illness experiences and changes in psychosocial factors during the COVID-19 pandemic among reservation-area American Indian youth.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included a random sample of US schools on or near US Indian reservations during Spring 2021, stratified by region, with students in grades 6 to 12 completing cross-sectional online surveys. All enrolled self-identifying American Indian students in grades 6 to 12 attending the 20 participating schools were eligible to be surveyed; participants represented 60.4% of eligible students in these schools. Data were analyzed from January 5 to July 15, 2022.

EXPOSURES

Onset of the COVID-19 pandemic.

MAIN OUTCOMES AND MEASURES

Outcomes of interest were COVID-19 self-reported illness outcomes for self and family and close friends; perceived changes in family and friend relationships, school engagement, social isolation, and other psychological factors since the COVID-19 pandemic began; and worry over COVID-19-related health outcomes.

RESULTS

A total of 2559 American Indian students (1201 [46.9%] male; 1284 [50.2%] female; 70 [2.7%] another gender; mean [SD] 14.7 [8.9] years) were included in the analysis. Approximately 14% of the sample reported having had a test result positive for SARS-CoV-2 infection (14.3% [95% CI, 11.4%-17.6%]), a higher rate than for all cases nationally at the time of the survey. Regarding prevalence of COVID-19 among family and close friends, 75.4% (95% CI, 68.8%-80.9%) of participants reported having at least 1 family member or friend who had contracted COVID-19, while 27.9% (95% CI, 18.8%-39.3%) of participants reported that at least 1 family member or close friend had died of COVID-19. Regarding psychosocial impacts, COVID-19 was associated with strained friend relationships (eg, 34.0% [95% CI, 28.4%-40.0%] of students reported worry over losing friends), lower school engagement, and less social connectedness (eg, 62.2% [95% CI, 56.7%-67.4%] of students reported feeling less socially connected to people), although more than 60% of students also reported feeling no change or a decrease in negative emotions. Males were less likely to report perceived negative impacts, especially for negative emotions such as sadness (29.2% [95% CI, 23.3%-35.9%] of males vs 46.1% [95% CI, 43.9%-48.3%] of females reported feeling more sad) and anxiety (21.8% [95% CI, 18.2%-25.8%] of males vs 39.2% [95% CI, 34.1%-44.6%] of females reported feeling more anxious).

CONCLUSIONS AND RELEVANCE

This cross-sectional study provides novel insight into the perceived experiences of reservation-area American Indian youth, a population at uniquely elevated risk of poor health status and health care access, during the COVID-19 pandemic. Although mortality and morbidity rates from COVID-19 were high on American Indian reservations, student reports of psychosocial impacts were complex and suggest many students were resilient in the face of the pandemic. These findings could be used to understand and address the challenges facing American Indian youth due to the pandemic and to guide future research that examines the factors and processes associated with the reported outcomes.

Moral distress among clinicians working in US safety net practices during the COVID-19 pandemic: a mixed methods study

OBJECTIVE

To explore the causes and levels of moral distress experienced by clinicians caring for the low-income patients of safety net practices in the USA during the COVID-19 pandemic.

DESIGN

Cross-sectional survey in late 2020, employing quantitative and qualitative analyses.

SETTING

Safety net practices in 20 US states.

PARTICIPANTS

2073 survey respondents (45.8% response rate) in primary care, dental and behavioural health disciplines working in safety net practices and participating in state and national education loan repayment programmes.

MEASURES

Ordinally scaled degree of moral distress experienced during the pandemic, and open-ended response descriptions of issues that caused most moral distress.

RESULTS

Weighted to reflect all surveyed clinicians, 28.4% reported no moral distress related to work during the pandemic, 44.8% reported 'mild' or 'uncomfortable' levels and 26.8% characterised their moral distress as 'distressing', 'intense' or 'worst possible'. The most frequently described types of morally distressing issues encountered were patients not being able to receive the best or needed care, and patients and staff risking infection in the office. Abuse of clinic staff, suffering of patients, suffering of staff and inequities for patients were also morally distressing, as were politics, inequities and injustices within the community. Clinicians who reported instances of inequities for patients and communities and the abuse of staff were more likely to report higher levels of moral distress.

CONCLUSIONS

During the pandemic's first 9 months, moral distress was common among these clinicians working in US safety net practices. But for only one-quarter was this significantly distressing. As reported for hospital-based clinicians during the pandemic, this study's clinicians in safety net practices were often morally distressed by being unable to provide optimal care to patients. New to the literature is clinicians' moral distress from witnessing inequities and other injustices for their patients and communities.