Lack of racial and ethnic disparities in mortality in minority patients hospitalised with COVID-19 in a mid-Atlantic healthcare system.

INTRODUCTION: In the USA, minoritised communities (racial and ethnic) have suffered disproportionately from COVID-19 compared with non-Hispanic white communities. In a large cohort of patients hospitalised for COVID-19 in a healthcare system spanning five adult hospitals, we analysed outcomes of patients based on race and ethnicity. METHODS: This was a retrospective cohort analysis of patients 18 years or older admitted to five hospitals in the mid-Atlantic area between 4 March 2020 and 27 May 2022 with confirmed COVID-19. Participants were divided into four groups based on their race/ethnicity: non-Hispanic black, non-Hispanic white, Latinx and other. Propensity score weighted generalised linear models were used to assess the association between race/ethnicity and the primary outcome of in-hospital mortality. RESULTS: Of the 9651 participants in the cohort, more than half were aged 18-64 years old (56%) and 51% of the cohort were females. Non-Hispanic white patients had higher mortality (p<0.001) and longer hospital length-of-stay (p<0.001) than Latinx and non-Hispanic black patients. DISCUSSION: In this large multihospital cohort of patients admitted with COVID-19, non-Hispanic black and Hispanic patients did not have worse outcomes than white patients. Such findings likely reflect how the complex range of factors that resulted in a life-threatening and disproportionate impact of incidence on certain vulnerable populations by COVID-19 in the community was offset through admission at well-resourced hospitals and healthcare systems. However, there continues to remain a need for efforts to address the significant pre-existing race and ethnicity inequities highlighted by the COVID-19 pandemic to be better prepared for future public health emergencies.

COVID-19 Hospitalization in Hawai'i and Patterns of Insurance Coverage, Race and Ethnicity, and Vaccination.

Importance: The people of Hawai'i have both high rates of health insurance and high levels of racial and ethnic diversity, but the degree to which insurance status and race and ethnicity contribute to health outcomes in COVID-19 remains unknown. Objective: To evaluate the associations of insurance coverage, race and ethnicity (using disaggregated race and ethnicity data), and vaccination with outcomes for COVID-19 hospitalization. Design, Setting, and Participants: This retrospective cohort study included hospitalized patients at a tertiary care medical center between March 2020 and March 2022. All patients hospitalized for acute COVID-19, identified based on diagnosis code or positive results on polymerase chain reaction-based assay for SARS-CoV-2, were included in analysis. Data were analyzed from May 2022 to May 2023. Exposure: COVID-19 requiring hospitalization. Main Outcome and Measures: Electronic medical record data were collected for all patients. Associations among race and ethnicity, insurance coverage, receipt of at least 1 COVID-19 vaccine, intensive care unit (ICU) transfer, in-hospital mortality, and COVID-19 variant wave (pre-Delta vs Delta and Omicron) were assessed using adjusted multivariable logistic regression. Results: A total of 1176 patients (median [IQR] age of 58 [41-71] years; 630 [54%] male) were hospitalized with COVID-19, with a median (IQR) body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 30 (25-36) and Sequential Organ Failure Assessment score of 1 (0-2). The sample included 16 American Indian or Alaska Native patients, 439 Asian (not otherwise specified) patients, 15 Black patients, 66 Chinese patients, 246 Filipino patients, 76 Hispanic patients, 107 Japanese patients, 10 Korean patients, 299 Native Hawaiian patients, 523 Pacific Islander (not otherwise specified) patients, 156 Samoan patients, 5 Vietnamese patients, and 311 White patients (patients were able to identify as >1 race or ethnicity). When adjusting for age, BMI, sex, medical comorbidities, and socioeconomic neighborhood status, there were no differences in either ICU transfer (eg, Medicare vs commercial insurance: odds ratio [OR], 0.84; 95% CI, 0.43-1.64) or in-hospital mortality (eg, Medicare vs commercial insurance: OR, 0.85; 95% CI, 0.36-2.03) as a function of insurance type. Disaggregation of race and ethnicity revealed that Filipino patients were more likely to die in the hospital (OR, 1.79; 95% CI, 1.04-3.03; P = .03). When considering variant waves, mortality among Filipino patients was highest during the pre-Delta time period (OR, 2.72; 95% CI, 1.02-7.14; P = .04), when mortality among Japanese patients was lowest (OR, 0.19; 95% CI, 0.03-0.78; P = .04); mortality among Native Hawaiian patients was lowest during the Delta and Omicron period (OR, 0.35; 95% CI, 0.13-0.79; P = .02). Patients with Medicare, compared with those with commercial insurance, were more likely to have received at least 1 COVID-19 vaccine (OR, 1.85; 95% CI, 1.07-3.21; P = .03), but all patients, regardless of insurance type, who received at least 1 COVID-19 vaccine had reduced ICU admission (OR, 0.40; 95% CI, 0.21-0.70; P = .002) and in-hospital mortality (OR, 0.42; 95% CI, 0.21-0.79; P = .01). Conclusions and Relevance: In this cohort study of hospitalized patients with COVID-19, those with government-funded insurance coverage (Medicare or Medicaid) had similar outcomes compared with patients with commercial insurance, regardless of race or ethnicity. Disaggregation of race and ethnicity analysis revealed substantial outcome disparities and suggests opportunities for further study of the drivers underlying such disparities. Additionally, these findings illustrate that vaccination remains a critical tool to protect patients from COVID-19 mortality.

Vaccine Attitudes and Uptake Among Latino Residents of a Former COVID-19 Hotspot.

Early in the COVID-19 pandemic, the Centers for Disease Control and Prevention identified Prince William County (PWC), Va. as a hotspot with a high disease rate among Latinos. This study uses spatial, survey, and qualitative data to understand attitudes towards vaccine uptake among PWC Latinos. A quantitative analysis (n=266) estimates the association for vaccine acceptance among Latinos. Next, qualitative interviews with Latinos (n=37) examine vaccine attitudes. Finally, a spatial analysis identifies clusters of social vulnerability and low vaccine uptake in PWC and adjacent counties. Our findings show that a substantial proportion of PWC Latinos had low vaccination rates as of December 2022, two years after the vaccine's release. Side effects and safety and approval concerns were cited in both the quantitative and qualitative studies. Persistent vaccine disparities are concerning given the high hospitalization and mortality rates that prevailed among Latinos early in the pandemic.

COVID-19 Vaccine Uptake in Undocumented Latinx Patients Presenting to the Emergency Department.

This cross-sectional study examines COVID-19 infection status, vaccination uptake, and perceptions about the vaccine among Latinx patients presenting to the emergency department in California.

IJCH - COVID-19 in the Arctic: special issue.

The Circumpolar region, comprising the Arctic territories encircling the North Pole, is home to diverse Indigenous cultures facing unique socio-economic challenges. Indigenous communities such as the Inuit, Sámi, Athabaskan, Gwitchin, and Russian Arctic groups exhibit rich traditions and adaptive practices tied to their environments. Environmental diversity, from icy tundra to boreal forests, influences livelihoods and biodiversity, while significant socio-economic disparities persist, impacting access to healthcare, education, and economic opportunities. Against this backdrop, the global COVID-19 pandemic accentuated the intersection of environment, culture, and health in remote Arctic regions, presenting distinct challenges and opportunities. Initiated by a collaborative research project led by Fulbright Arctic Initiative Alumni, this special issue of the International Journal of Circumpolar Health explores the impacts of COVID-19 on Arctic Indigenous and rural communities. Building on previous work and recommendations, the issue features community case studies, highlighting community experiences and collaborative approaches to understand and address the pandemic's effects. The authors highlight both positive and negative societal outcomes, presenting community-driven models and evidence-based practices to inform pan-Arctic collaboration and decision-making in public health emergencies. Through sharing these insights, the special issue aims to privilege local and Indigenous knowledge systems, elevates community responses to complex and multifaceted challenges, and contributes to the evidence base on global pandemic response.

HLA-B and C Expression Contributes to COVID-19 Disease Severity within a South African Cohort.

Globally, SARS-CoV-2 has negatively impacted many lives and industries due to its rapid spread, severe outcomes, and the need for the implementation of lockdown strategies across the world. SARS-CoV-2 disease severity varies among different populations. Host genetics have been associated with various diseases, and their ability to alter disease susceptibility and severity. In addition, Human Leukocyte Antigen (HLA) expression levels and alleles vary significantly among ethnic groups, which might impact the host's response to SARS-CoV-2. Our previous study highlighted that HLA-A might have an effect on COVID-19 disease severity across ethnicities. Therefore, in this study, we aim to examine the effect of HLA-B and C expression levels on COVID-19 disease severity. To achieve this, we used real-time PCR to measure the HLA mRNA expression levels of SARS-CoV-2-infected individuals from a South African cohort and compared them across ethnic groups, disease outcomes, gender, comorbidities, and age. Our results show (1) that the effect of HLA-B mRNA expression levels was associated with differences in disease severity when we compare symptomatic vs. asymptomatic (p < 0.0001). While HLA-C mRNA expression levels were not associated with COVID-19 disease severity. (2) In addition, we observed that HLA-B and HLA-C mRNA expression levels were significantly different between South African Black individuals and South African Indian individuals (p < 0.0001, p < 0.0001). HLA-B mRNA expression levels among symptomatic South African Black individuals were significantly higher than symptomatic South African Indian individuals (p < 0.0001). In addition, the HLA-B mRNA expression levels of symptomatic South African Black individuals were significantly higher than asymptomatic South African Black individuals (p > 0.0001). HLA-C mRNA expression levels among symptomatic South African Black individuals were significantly higher than among symptomatic South African Indian individuals (p = 0.0217). (3) HLA-C expression levels were significantly different between males and females (p = 0.0052). In addition, the HLA-C expression levels of asymptomatic males are higher than asymptomatic females (p = 0.0375). (4) HLA-B expression levels were significantly different between individuals with and without comorbidities (p = 0.0009). In addition, we observed a significant difference between individuals with no comorbidities and non-communicable diseases (p = 0.0034), in particular, hypertension (p = 0.0487). (5) HLA-B expression levels were significantly different between individuals between 26-35 and 56-65 years (p = 0.0380). Our work is expected to strengthen the understanding of the relationship between HLA and COVID-19 by providing insights into HLA-B and C expression levels across ethnic populations in South Africa among COVID-19-symptomatic and asymptomatic individuals. Our results highlight that HLA-B mRNA expression levels contribute to COVID-19 severity as well as variation in ethnicities associated with COVID-19. Further studies are needed to examine the effect of HLA expression levels across various ethnic groups with contributing factors.

COVID-19 mortality among immigrants by duration of residence in Sweden: a population-based cohort study.

BACKGROUND: Explanations for the disproportional COVID-19 burden among immigrants relative to host-country natives include differential exposure to the virus and susceptibility due to poor health conditions. Prior to the pandemic, immigrants displayed deteriorating health with duration of residence that may be associated with increased susceptibility over time. The aim of this study was to compare immigrant-native COVID-19 mortality by immigrants' duration of residence to examine the role of differential susceptibility. METHODS: A population-based cohort study was conducted with individuals between 18 and 100 years old registered in Sweden between 1 January 2015 and 15 June 2022. Cox regression models were run to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Inequalities in COVID-19 mortality between immigrants and the Swedish-born population in the working-age group were concentrated among those of non-Western origins and from Finland with more than 15 years in Sweden, while for those of retirement age, these groups showed higher COVID-19 mortality HRs regardless of duration of residence. Both age groups of immigrants from Africa and the Middle East showed consistently higher COVID-19 mortality HRs. For the working-age population: Africa: HR<15: 2.46, 95%CI: 1.78, 3.38; HR≥15: 1.49, 95%CI: 1.01, 2.19; and from the Middle East: HR<15: 1.20, 95%CI: 0.90, 1.60; HR≥15: 1.65, 95%CI: 1.32, 2.05. For the retirement-age population: Africa: HR<15: 3.94, 95%CI: 2.85, 5.44; HR≥15: 1.66, 95%CI: 1.32, 2.09; Middle East: HR<15: 3.27, 95%CI: 2.70, 3.97; HR≥15: 2.12, 95%CI: 1.91, 2.34. CONCLUSIONS: Differential exposure, as opposed to differential susceptibility, likely accounted for the higher COVID-19 mortality observed among those origins who were disproportionately affected by the pandemic in Sweden.

The impact of reduced routine community mental healthcare on people from minority ethnic groups during the COVID-19 pandemic: qualitative study of stakeholder perspectives.

BACKGROUND: Enduring ethnic inequalities exist in mental healthcare. The COVID-19 pandemic has widened these. AIMS: To explore stakeholder perspectives on how the COVID-19 pandemic has increased ethnic inequalities in mental healthcare. METHOD: A qualitative interview study of four areas in England with 34 patients, 15 carers and 39 mental health professionals from National Health Service (NHS) and community organisations (July 2021 to July 2022). Framework analysis was used to develop a logic model of inter-relationships between pre-pandemic barriers and COVID-19 impacts. RESULTS: Impacts were largely similar across sites, with some small variations (e.g. positive service impacts of higher ethnic diversity in area 2). Pre-pandemic barriers at individual level included mistrust and thus avoidance of services and at a service level included the dominance of a monocultural model, leading to poor communication, disengagement and alienation. During the pandemic remote service delivery, closure of community organisations and media scapegoating exacerbated existing barriers by worsening alienation and communication barriers, fuelling prejudice and division, and increasing mistrust in services. Some minority ethnic patients reported positive developments, experiencing empowerment through self-determination and creative activities. CONCLUSIONS: During the COVID-19 pandemic some patients showed resilience and developed adaptations that could be nurtured by services. However, there has been a reduction in the availability of group-specific NHS and third-sector services in the community, exacerbating pre-existing barriers. As these developments are likely to have long-term consequences for minority ethnic groups' engagement with mental healthcare, they need to be addressed as a priority by the NHS and its partners.

Unequal loss: Disparities in relational closeness to a COVID-19 death among U.S. older adults.

BACKGROUND: COVID-19 mortality occurred unevenly across U.S. demographic subgroups, leaving some communities harder hit than others. Black and Hispanic/Latino older adults are among those disproportionately affected by COVID-19 mortality, and in turn, COVID-19 bereavement. Because disparities in COVID-19 mortality may extend to COVID-19 bereavement, it is important to understand the incidence of COVID-19 bereavement among older adults at various degrees of relational closeness (e.g., spouse vs. household member vs. friend). METHODS: We used the National Social Health and Aging Project (NSHAP) COVID Study to evaluate disparities in loss of a social network member to COVID-19 among U.S. older adults by race/ethnicity, language, and relational closeness. Multiple logistic regression was used to estimate the likelihood of experiencing a COVID-19 death in one's social network. RESULTS: None of the English-speaking, non-Hispanic White respondents reported the loss of a household member or spouse to COVID-19. English-speaking, non-Hispanic Black and English-speaking, Hispanic older adults were overrepresented in reporting a death at every degree of relational closeness. However, close COVID-19 bereavement was most prevalent among Spanish-speaking older adults of any race. Although Spanish speakers comprised only 4.8% of the sample, half of the respondents who lost a spouse to COVID-19 were Spanish speakers. Language and ethnoracial group disparities persisted after controlling for age, sex, marital status, and education. CONCLUSIONS: Known ethnoracial disparities in COVID-19 mortality extend to COVID-19 bereavement among older adults. Because bereavement impacts health, Black, Latino, and Spanish-speaking communities need greater protection and investment to prevent disparities in bereavement from exacerbating disparities in later-life mental and physical health.

Racial and Ethnic Disparities in Excess All-Cause Mortality in the First Year of the COVID-19 Pandemic.

Research on the COVID-19 pandemic in the United States has consistently found disproportionately high mortality among ethnoracial minorities, but reports differ with respect to the magnitude of mortality disparities and reach different conclusions regarding which groups were most impacted. We suggest that these variations stem from differences in the temporal scope of the mortality data used and difficulties inherent in measuring race and ethnicity. To circumvent these issues, we link Social Security Administration death records for 2010 through 2021 to decennial census and American Community Survey race and ethnicity responses. We use these linked data to estimate excess all-cause mortality for age-, sex-, race-, and ethnicity-specific subgroups and examine ethnoracial variation in excess mortality across states and over the course of the pandemic's first year. Results show that non-Hispanic American Indians and Alaska Natives experienced the highest excess mortality of any ethnoracial group in the first year of the pandemic, followed by Hispanics and non-Hispanic Blacks. Spatiotemporal and age-specific ethnoracial disparities suggest that the socioeconomic determinants driving health disparities prior to the pandemic were amplified and expressed in new ways in the pandemic's first year to disproportionately concentrate excess mortality among racial and ethnic minorities.

Clinical epidemiology of COVID-19 in people of black ethnicity living with HIV in the UK.

OBJECTIVES: To describe the clinical epidemiology of COVID-19 in people of black ethnicity living with HIV in the UK. METHODS: We investigated the incidence and factors associated with COVID-19 in a previously established and well-characterized cohort of black people with HIV. Primary outcomes were COVID-19 acquisition and severe COVID-19 disease (requiring hospitalization and/or resulting in death). Cumulative incidence was analysed using Nelson-Aalen methods, and associations between demographic, pre-pandemic immune-virological parameters, comorbidity status and (severe) COVID-19 were identified using Cox regression analysis. RESULTS: COVID-19 status was available for 1847 (74%) of 2495 COVID-AFRICA participants (median age 49.6 years; 56% female; median CD4 cell count = 555 cells/µL; 93% HIV RNA <200 copies/mL), 573 (31%) of whom reported at least one episode of COVID-19. The cumulative incidence rates of COVID-19 and severe COVID-19 were 31.0% and 3.4%, respectively. Region of ancestry (East/Southern/Central vs. West Africa), nadir CD4 count and kidney disease were associated with COVID-19 acquisition. Diabetes mellitus [adjusted hazard ratio (aHR) = 2.39, 95% confidence interval (CI): 1.26-4.53] and kidney disease (aHR = 2.53, 95% CI: 1.26-4.53) were associated with an increased risk, and recent CD4 count >500 cells/µL (aHR = 0.49, 95% CI: 0.25-0.93) with a lower risk of severe COVID-19. CONCLUSIONS: Region of ancestry was associated with COVID-19 acquisition, and immune and comorbidity statuses were associated with COVID-19 disease severity in people of black ethnicity living with HIV in the UK.

Bridging the Telehealth Divide: Racial and Ethnic Disparities in Medicare Telehealth Usage Highlights the Need for Equity-Focused Approaches.

Background: The COVID-19 pandemic led to a dramatic increase in Medicare reimbursed telehealth utilization in the United States, but significant racial disparities persist. Methods: This research analyzed trends and disparities in Medicare reimbursed telehealth usage and claims from 2020 through 2022 using data from the Centers for Medicare & Medicaid Services. Results: Medicare telehealth user claims were 10.1 million in 2020, 52.7 million in 2021, and 85.3 million in 2023. The adjusted odds of telehealth use were significantly lower in 2021 (adjusted odds ratios [aORs]: 0.746; 95% confidence intervals [CI]: 0.683-0.815) and 2022 (aOR: 0.529; 95% CI: 0.484-0.578) compared with 2020. Large racial differences were observed in 2020-2022, with lower telehealth usage among African Americans (aOR: 0.068; 95% CI: 0.054-0.087), Hispanics (aOR: 0.036; 95% CI: 0.027-0.047), American Indians/Alaska Natives (aOR: 0.012; 95% CI: 0.009-0.017), and Asian Pacific Americans (aOR: 0.001; 95% CI: 0.001-0.002) versus Non-Hispanic Whites. Rural residents, older adults, and beneficiaries with disabilities also had reduced telehealth utilization. However, women were more likely to use telehealth versus men (aOR: 1.689; 95% CI: 1.363-2.094). Conclusion: Despite telehealth expansion during the pandemic, significant disparities remain, highlighting the need for targeted efforts to increase access and reduce barriers among underserved populations. Addressing disparities is critical to ensuring equitable access to health care through telehealth.

Mental Health Among Puerto Rican Adolescents Living in the United States During the COVID-19 Pandemic.

OBJECTIVES: The present study examined how different family level (family financial stress, family violence) and individual (food insecurity, gender, race) determinants of health were associated with mental health among Puerto Rican adolescents living in the U.S. during the COVID-19 pandemic. METHOD: A sample consisting of 119 Puerto Rican adolescents, aged 13 to 17, was collected via Qualtrics Panels between November 2020 and January 2021. We examined the association between family financial stress experienced during the pandemic and psychological distress. We also evaluated whether the association between family financial stress and psychological distress was moderated by family violence, food insecurity, and the participant's gender and race. RESULTS: Findings showed that food insecurity positively predicted psychological distress. Results also showed that participants' race moderated the association between family financial stress and psychological distress. Specifically, we found that while there was a significant positive association between family financial stress and psychological distress among Puerto Rican adolescents who identified as a racial minority, this association was nonsignificant among White Puerto Rican adolescents. CONCLUSION: Our research highlights the significant role of COVID-19 related family financial stress and food insecurity on Puerto Rican adolescents' poor mental health during the COVID-19 pandemic.

Racial and Ethnic Differences in Hypertension-Related Telehealth and In-Person Outpatient Visits Before and During the COVID-19 Pandemic Among Medicaid Beneficiaries.

Background: Little is known about the trends and costs of hypertension management through telehealth among individuals enrolled in Medicaid. Methods: Using MarketScan® Medicaid database, we examined outpatient visits among people with hypertension aged 18-64 years. We presented the numbers of hypertension-related telehealth and in-person outpatient visits per 100 individuals and the proportion of hypertension-related telehealth outpatient visits to total outpatient visits by month, overall, and by race and ethnicity. For the cost analysis, we presented total and patient out-of-pocket (OOP) costs per visit for telehealth and in-person visits in 2021. Results: Of the 229,562 individuals, 114,445 (49.9%) were non-Hispanic White, 80,692 (35.2%) were non-Hispanic Black, 3,924 (1.71%) were Hispanic. From February to April 2020, the number of hypertension-related telehealth outpatient visits per 100 persons increased from 0.01 to 6.13, the number of hypertension-related in-person visits decreased from 61.88 to 52.63, and the proportion of hypertension-related telehealth outpatient visits increased from 0.01% to 10.44%. During that same time, the proportion increased from 0.02% to 13.9% for non-Hispanic White adults, from 0.00% to 7.58% for non-Hispanic Black adults, and from 0.12% to 19.82% for Hispanic adults. The average total and patient OOP costs per visit in 2021 were $83.82 (95% confidence interval [CI], 82.66-85.05) and $0.55 (95% CI, 0.42-0.68) for telehealth and $264.48 (95% CI, 258.87-269.51) and $0.72 (95% CI, 0.65-0.79) for in-person visits, respectively. Conclusions: Hypertension management via telehealth increased among Medicaid recipients regardless of race and ethnicity, during the COVID-19 pandemic. These findings may inform telehealth policymakers and health care practitioners.

Variations in the Prevalence of Childhood Anemia by Ethnicity Before and During the COVID-19 Pandemic in Peru.

We aimed to determine the variations in the prevalence of childhood anemia according to the ethnic group before and during the COVID-19 pandemic in Peru. Secondary analysis of the Demographic and Family Health Survey during 2016-2021. The outcome variable was anemia, and the exposure variable was maternal ethnicity. Also, we included sociodemographic and clinical confounding variables. We constructed generalized linear models of the Poisson family with a logarithmic link function. We evaluated 85,905 records; 30.34% had anemia, 50.83% were mestizo, 25.98% were Quechua, and 2% were Aymara. Compared with mestizos, Quechua children (PR: 1.11; 95% CI: 1.07-1.15; p < 0.001), Aymara (PR: 1.35; 95% CI: 1.27-1 .44; p < 0.001), natives of the Amazon (PR: 1.20; 95% CI: 1.12-1.28; p < 0.001) and those who belonged to other indigenous peoples (PR: 1.29; 95% CI: 1.05-1.57; p = 0.013) had a higher prevalence of childhood anemia. On the contrary, compared to mestizos, white children had a lower prevalence of anemia (PR: 0.93; 95% CI: 0.89-0.99; p = 0.019). During the COVID-19 pandemic, compared to mestizos, only Quechua (PR: 1.15; 95% CI: 1.08-1.23; p < 0.001) and Aymara (PR: 1.38; 95% CI: 1.23-1.55; p < 0.001) had a higher prevalence of childhood anemia. Except for Afro-descendants, children from 6 to 59 months of age who belong to an ethnic minority had a higher probability of having childhood anemia than mestizos. However, only Quechua and Aymara children had higher odds of anemia during the COVID-19 pandemic than mestizos.

The Epidemic of Internalizing Problems Among Latinx Adolescents Before and During the Coronavirus 2019 Pandemic.

OBJECTIVE: Latinx youth exhibit disproportionately higher internalizing symptoms than their peers from other racial/ethnic groups. This study compares depression and anxiety symptoms between referred students of Latinx and non-Latinx backgrounds before and during the COVID-19 pandemic and examines key determinants within the Latinx sample. METHOD: Data are analyzed from four academic years - two before and two during the pandemic - from 1220 5th through 8th grade students (Mage = 12.1; 59.6% female; 59.9% Latinx or mixed-Latinx) referred for services across 59 Chicago Public School District (CPS) elementary schools. Using the Children's Depression Inventory (CDI) and the Revised Child Anxiety and Depression Scale (RCADS), mean scores and risk levels for depression, social anxiety, and generalized anxiety are examined. RESULTS: Higher internalizing risk and comorbidity rates were found in the second year of the pandemic, compared to pre-pandemic levels. Latinx students reported higher depression, social anxiety, and generalized anxiety symptoms than non-Latinx students. During the pandemic, more Latinx students were classified as having comorbid depression and anxiety, and scored in the clinical range for depression, generalized anxiety, and social anxiety than non-Latinx students. Within the Latinx sample, girls and gender non-conforming students reported the highest maladjustment. CONCLUSIONS: Results highlight the pressing need to examine the long-term impact of COVID-19 on the mental health of Latinx children and adolescents, and to address their internalizing problems.

COVID-19 Economic and Academic Stress on Mexican American Adolescents' Psychological Distress: Parents as Essential Workers.

OBJECTIVES: In a sample of Mexican American adolescents (N = 398; 51% females; aged 13-17), we examined the associations between psychological distress, COVID-19 household economic stress, COVID-19 academic stress, and whether these associations varied by adolescents' gender and by parents/caregivers' essential worker status. METHOD: First, linear regression models assessed the main effects of household economic and academic stress on psychological distress. Second, the moderating effects of gender and parents/caregivers' essential worker status on the association between household economic and academic stress, and psychological distress were examined. Third, the three-way interaction effect of household economic stress, gender, and parents/caregivers' essential worker status on psychological distress as well as the three-way interaction effect of academic stress, gender, and parents/caregivers' essential worker status on psychological distress were calculated. RESULTS: Household economic and academic stress were associated with psychological distress. However, these associations did not vary based on adolescents' gender or parents/caregivers' essential worker status. The three-way interaction for household economic stress, parents/caregivers' essential worker status, and gender for psychological distress was significant. Specifically, the effects of household economic stress on psychological distress was worse for boys than girls whose parents/caregivers were essential workers. Furthermore, the three-way interaction among academic stress, parents/caregivers' essential worker status, and gender was significant. Particularly, the effects of academic stress when grades were worse on adolescents' psychological distress was worse for boys than girls whose parents/caregivers were essential workers. CONCLUSION: Parents/caregivers' essential worker status was salient among Mexican American adolescents' mental health outcomes during COVID-19, particularly for adolescent boys.

A synthesis of evidence for policy from behavioural science during COVID-19.

Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations ('claims') detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms 'physical distancing' and 'social distancing'. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization.

Predicting Covid-19 infection and death rates among E.U. minority populations in the absence of racially disaggregated data through the use of US data comparisons.

BACKGROUND: The E.U.'s lack of racially disaggregated data impedes the formulation of effective interventions, and crises such as Covid-19 may continue to impact minorities more severely. Our predictive model offers insight into the disparate ways in which Covid-19 has likely impacted E.U. minorities and allows for the inference of differences in Covid-19 infection and death rates between E.U. minority and non-minority populations. METHODS: Data covering Covid-19, social determinants of health and minority status were included from 1 March 2020 to 28 February 2021. A systematic comparison of US and E.U. states enabled the projection of Covid-19 infection and death rates for minorities and non-minorities in E.U. states. RESULTS: The model predicted Covid-19 infection rates with 95-100% accuracy for 23 out of 28 E.U. states. Projections for Covid-19 infection and mortality rates among E.U. minority groups illustrate parallel trends to US rates. CONCLUSIONS: Disparities in Covid-19 infection and death rates by minority status likely exist in patterns similar to those observed in US data. Policy Implications: Collecting data by race/ethnicity in the E.U. would help document health disparities and craft more targeted health interventions and mitigation strategies.