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.

Age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy in Germany, 2003-21: an ecological study.

BACKGROUND: Earlier death among people in socioeconomically deprived circumstances has been found internationally and for various causes of death, resulting in a considerable life-expectancy gap between socioeconomic groups. We examined how age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy have changed at the area level in Germany over time. METHODS: In this ecological study, official German population and cause-of-death statistics provided by the Federal Statistical Office of Germany for the period Jan 1, 2003, to Dec 31, 2021, were linked to district-level data of the German Index of Socioeconomic Deprivation. Life-table and decomposition methods were applied to calculate life expectancy by area-level deprivation quintile and decompose the life-expectancy gap between the most and least deprived quintiles into age-specific and cause-specific mortality contributions. FINDINGS: Over the study period, population numbers varied between 80 million and 83 million people per year, with the number of deaths ranging from 818 000 to 1 024 000, covering the entire German population. Between Jan 1, 2003, and Dec 31, 2019, the gap in life expectancy between the most and least deprived quintiles of districts increased by 0·7 years among females (from 1·1 to 1·8 years) and by 0·1 years among males (from 3·0 to 3·1 years). Thereafter, during the COVID-19 pandemic, the gap increased more rapidly to 2·2 years in females and 3·5 years in males in 2021. Between 2003 and 2021, the causes of death that contributed the most to the life-expectancy gap were cardiovascular diseases and cancer, with declining contributions of cardiovascular disease deaths among those aged 70 years and older and increasing contributions of cancer deaths among those aged 40-74 years over this period. COVID-19 mortality among individuals aged 45 years and older was the strongest contributor to the increase in life-expectancy gap after 2019. INTERPRETATION: To reduce the socioeconomic gap in life expectancy, effective efforts are needed to prevent early deaths from cardiovascular disease and cancer in socioeconomically deprived populations, with cancer prevention and control becoming an increasingly important field of action in this respect. FUNDING: German Cancer Aid and European Research Council.

California's COVID-19 Vaccine Equity Policy: Cases, Hospitalizations, And Deaths Averted In Affected Communities.

In March 2021, California implemented a vaccine equity policy that prioritized COVID-19 vaccine allocation to communities identified as least advantaged by an area-based socioeconomic measure, the Healthy Places Index. We conducted quasi-experimental and counterfactual analyses to estimate the effect of this policy on COVID-19 vaccination, case, hospitalization, and death rates. Among prioritized communities, vaccination rates increased 28.4 percent after policy implementation. Furthermore, an estimated 160,892 COVID-19 cases, 10,248 hospitalizations, and 679 deaths in the least-advantaged communities were averted by the policy. Despite these improvements, the share of COVID-19 cases, hospitalizations, and deaths in prioritized communities remained elevated. These estimates were robust in sensitivity analyses that tested exchangeability between prioritized communities and those not prioritized by the policy; model specifications; and potential temporal confounders, including prior infections. Correcting for disparities by strategically allocating limited resources to the least-advantaged or most-affected communities can reduce the impacts of COVID-19 and other diseases but might not eliminate health disparities.

Long-term cardiovascular disease outcomes in non-hospitalized medicare beneficiaries diagnosed with COVID-19: Population-based matched cohort study.

BACKGROUND: SARS-CoV2, the virus that causes coronavirus disease 2019 (COVID-19), can affect multiple human organs structurally and functionally, including the cardiovascular system and brain. Many studies focused on the acute effects of COVID-19 on risk of cardiovascular disease (CVD) and stroke especially among hospitalized patients with limited follow-up time. This study examined long-term mortality, hospitalization, CVD and stroke outcomes after non-hospitalized COVID-19 among Medicare fee-for-service (FFS) beneficiaries in the United States. METHODS: This retrospective matched cohort study included 944,371 FFS beneficiaries aged ≥66 years diagnosed with non-hospitalized COVID-19 from April 1, 2020, to April 30, 2021, and followed-up to May 31, 2022, and 944,371 propensity score matched FFS beneficiaries without COVID-19. Primary outcomes were all-cause mortality, hospitalization, and incidence of 15 CVD and stroke. Because most outcomes violated the proportional hazards assumption, we used restricted cubic splines to model non-proportional hazards in Cox models and presented time-varying hazard ratios (HRs) and Bonferroni corrected 95% confidence intervals (CI). RESULTS: The mean age was 75.3 years; 58.0% women and 82.6% non-Hispanic White. The median follow-up was 18.5 months (interquartile range 16.5 to 20.5). COVID-19 showed initial stronger effects on all-cause mortality, hospitalization and 12 incident CVD outcomes with adjusted HRs in 0-3 months ranging from 1.05 (95% CI 1.01-1.09) for mortality to 2.55 (2.26-2.87) for pulmonary embolism. The effects of COVID-19 on outcomes reduced significantly after 3-month follow-up. Risk of mortality, acute myocardial infarction, cardiomyopathy, deep vein thrombosis, and pulmonary embolism returned to baseline after 6-month follow-up. Patterns of initial stronger effects of COVID-19 were largely consistent across age groups, sex, and race/ethnicity. CONCLUSIONS: Our results showed a consistent time-varying effects of COVID-19 on mortality, hospitalization, and incident CVD among non-hospitalized COVID-19 survivors.

[Socioeconomic deprivation and premature mortality in Germany, 1998-2021 : An ecological study with what-if scenarios of inequality reduction]. / Sozioökonomische Deprivation und vorzeitige Sterblichkeit in Deutschland 1998­2021 : Eine ökologische Studie mit What-if-Szenarien der Ungleichheitsreduktion.

BACKGROUND: Earlier mortality in socioeconomically disadvantaged population groups represents an extreme manifestation of health inequity. This study examines the extent, time trends, and mitigation potentials of area-level socioeconomic inequalities in premature mortality in Germany. METHODS: Nationwide data from official cause-of-death statistics were linked at the district level with official population data and the German Index of Socioeconomic Deprivation (GISD). Age-standardized mortality rates before the age of 75 were calculated stratified by sex and deprivation quintile. A what-if analysis with counterfactual scenarios was applied to calculate how much lower premature mortality would be overall if socioeconomic mortality inequalities were reduced. RESULTS: Men and women in the highest deprivation quintile had a 43% and 33% higher risk of premature death, respectively, than those in the lowest deprivation quintile of the same age. Higher mortality rates with increasing deprivation were found for cardiovascular and cancer mortality, but also for other causes of death. Socioeconomic mortality inequalities had started to increase before the COVID-19 pandemic and further exacerbated in the first years of the pandemic. If all regions had the same mortality rate as those in the lowest deprivation quintile, premature mortality would be 13% lower overall. DISCUSSION: The widening gap in premature mortality between deprived and affluent regions emphasizes that creating equivalent living conditions across Germany is also an important field of action for reducing health inequity.

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.

Screening Strategies to Reduce COVID-19 Mortality in Nursing Homes.

Importance: Nursing home residents continue to bear a disproportionate share of COVID-19 morbidity and mortality, accounting for 9% of all US COVID-19 deaths in 2023, despite comprising only 0.4% of the population. Objective: To evaluate the cost-effectiveness of screening strategies in reducing COVID-19 mortality in nursing homes. Design and Setting: An agent-based model was developed to simulate SARS-CoV-2 transmission in the nursing home setting. Parameters were determined using SARS-CoV-2 virus data and COVID-19 data from the Centers for Medicare & Medicaid Services and US Centers for Disease Control and Prevention that were published between 2020 and 2023, as well as data on nursing homes published between 2010 and 2023. The model used in this study simulated interactions and SARS-CoV-2 transmission between residents, staff, and visitors in a nursing home setting. The population used in the simulation model was based on the size of the average US nursing home and recommended staffing levels, with 90 residents, 90 visitors (1 per resident), and 83 nursing staff members. Exposure: Screening frequency (none, weekly, and twice weekly) was varied over 30 days against varying levels of COVID-19 community incidence, booster uptake, and antiviral use. Main Outcomes and Measures: The main outcomes were SARS-CoV-2 infections, detected cases per 1000 tests, and incremental cost of screening per life-year gained. Results: Nursing home interactions were modeled between 90 residents, 90 visitors, and 83 nursing staff over 30 days, completing 4000 to 8000 simulations per parameter combination. The incremental cost-effectiveness ratios of weekly and twice-weekly screening were less than $150 000 per resident life-year with moderate (50 cases per 100 000) and high (100 cases per 100 000) COVID-19 community incidence across low-booster uptake and high-booster uptake levels. When COVID-19 antiviral use reached 100%, screening incremental cost-effectiveness ratios increased to more than $150 000 per life-year when booster uptake was low and community incidence was high. Conclusions and Relevance: The results of this cost-effectiveness analysis suggest that screening may be effective for reducing COVID-19 mortality in nursing homes when COVID-19 community incidence is high and/or booster uptake is low. Nursing home administrators can use these findings to guide planning in the context of widely varying levels of SARS-CoV-2 transmission and intervention measures across the US.

Hospitalisation and mortality among privately insured individuals with COVID-19 in the United States: The role of intellectual disabilities and Neurogenetic disorders.

BACKGROUND: Individuals with intellectual disabilities (IDs) and neurogenetic conditions (IDNDs) are at greater risk for comorbidities that may increase adverse outcomes for this population when they have coronavirus disease 2019 (COVID-19). The study aims are to examine the population-level odds of hospitalisation and mortality of privately insured individuals with COVID-19 with and without IDNDs IDs, controlling for sociodemographics and comorbid health conditions. METHODS: This is a retrospective, cross-sectional study of 1174 individuals with IDs and neurogenetic conditions within a population of 752 237 de-identified, privately insured, US patients diagnosed with COVID-19 between February 2020 and September 2020. Odds of hospitalisation and mortality among COVID-19 patients with IDNDs adjusted for demographic characteristics, Health Resources and Services Administration region, states with Affordable Care Act and number of comorbid health conditions were analysed. RESULTS: Patients with IDNDs overall had higher rates of COVID-19 hospitalisation than those without IDNDs (35.01% vs. 12.65%, P < .0001) and had higher rates of COVID-19 mortality than those without IDNDs (4.94% vs. .88%, P < .0001). Adjusting for sociodemographic factors only, the odds of being hospitalised for COVID-19 associated with IDNDs was 4.05 [95% confidence interval (CI) 3.56-4.61]. Adjusting for sociodemographic factors and comorbidity count, the odds of hospitalisation for COVID-19 associated with IDNDs was 1.42 (95% CI 1.25-1.61). The odds of mortality from COVID-19 for individuals with IDNDs adjusted for sociodemographic factors only was 4.65 (95% CI 3.47-6.24). The odds of mortality from COVID-19 for patients with IDNDs adjusted for sociodemographic factors and comorbidity count was 2.70 (95% CI 2.03-3.60). A major finding of the study was that even when considering the different demographic structure and generally higher disease burden of patients with IDNDs, having a IDND was an independent risk factor for increased hospitalisation and mortality compared with patients without IDNDs. CONCLUSIONS: Individuals with IDNDs had significantly higher odds of hospitalisation and mortality after adjusting for sociodemographics. Results remained significant with a slight attenuation after adjusting for sociodemographics and comorbidities. Adjustments for comorbidity count demonstrated a dose-response increase in odds of both hospitalisation and mortality, illustrating the cumulative effect of health concerns on COVID-19 outcomes. Together, findings highlight that individuals with IDNDs experience vulnerability for negative COVID-19 health outcomes with implications for access to comprehensive healthcare.

Trends in Demographic and Geographic Disparities in Stroke Mortality Among Older Adults in the United States.

BACKGROUND: Stroke is a leading cause of morbidity and mortality in the United States among older adults. However, the impact of demographic and geographic risk factors remains ambiguous. A clear understanding of these associations and updated trends in stroke mortality can influence health policies and interventions. METHODS: This study characterizes stroke mortality among older adults (age ≥55) in the US from January 1999 to December 2020, sourcing data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research. Segmented regression was used to analyze trends in crude mortality rate and age-adjusted mortality rate (AAMR) per 100,000 individuals stratified by stroke subcategory, sex, ethnicity, urbanization, and state. RESULTS: A total of 3,691,305 stroke deaths occurred in older adults in the US between 1999 and 2020 (AAMR = 233.3), with an overall decrease in AAMR during these years. The highest mortality rates were seen in nonspecified stroke (AAMR = 173.5), those 85 or older (crude mortality rate1276.7), men (AAMR = 239.2), non-Hispanic African American adults (AAMR = 319.0), and noncore populations (AAMR = 276.1). Stroke mortality decreased in all states from 1999 to 2019 with the greatest and least decreases seen in California (-61.9%) and Mississippi (-35.0%), respectively. The coronavirus pandemic pandemic saw increased stroke deaths in most groups. CONCLUSIONS: While there's a decline in stroke-related deaths among US older adults, outcome disparities remain across demographic and geographic sectors. The surge in stroke deaths during coronavirus pandemic reaffirms the need for policies that address these disparities.

Excess mortality during the COVID-19 pandemic in Algeria: The case of Oran Province / Surmortalité pendant la pandémie de COVID-19 en Algérie : le cas de la wilaya d'Oran

Objective: This study aimed to estimate excess mortality during the COVID-19 pandemic in Oran between March 2020 and December 2022. Method: Monthly all-cause data used to estimate excess mortality were modeled against the pre-pandemic period (January 2011-February 2020). Excess mortality between March 2020 and December 2022 was estimated using a quasi-Poisson regression. Analyses were stratified by age group. Results: From March 2020 to December 2022, there was a 30% excess mortality rate, corresponding to an average of 112 monthly excess deaths. Observed numbers of deaths were higher than expected for the age groups 20­39, 40­59, 60­79, and 80 and above. The age group 0­19 did not show excess mortality. Conclusion: The COVID-19 pandemic has been associated with a significant increase in all-cause mortality in Oran. Our results highlight the importance of monitoring all-cause excess mortality as an indicator of the disease burden in situations such as the current pandemic.

Objectif: Cette étude avait pour objectif d'estimer la surmortalité pendant la pandémie de la COVID-19 à Oran entre mars 2020 et décembre 2022. Méthodes: Les données mensuelles toutes causes confondues utilisées pour estimer la surmortalité ont été modélisées par rapport à la période pré-pandémique (janvier 2011 à février 2020). La surmortalité entre mars 2020 et décembre 2022 a été estimée à l'aide d'une régression de quasi-Poisson. Les analyses ont été stratifiées par groupes d'âge. Résultats: De mars 2020 à décembre 2022, le taux de surmortalité était de 30 %, correspondant à une moyenne de 112 décès excédentaires mensuels. Le nombre de décès observés était plus élevé que prévu pour les groupes d'âge 20-39 ans, 40-59 ans, 60-79 ans et 80 ans et plus. Le groupe d'âge 0-19 ans n'a pas montré de surmortalité. Conclusion: La pandémie de COVID-19 a été associée à une augmentation significative de la mortalité toutes causes confondues à Oran. Nos résultats mettent en évidence l'importance de surveiller la surmortalité toutes causes confondues en tant qu'indicateur de la charge de morbidité dans des situations telles que la pandémie actuelle.

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.

[Geographic variability, health inequities and lethality due to COVID-19 in Bariloche, Río Negro, 2020-2021]. / Variabilidad geográfica, inequidades en salud y letalidad por COVID-19 en Bariloche, Río Negro, 2020-2021.

INTRODUCTION: The objective of this study was to analyze the geographic variability and the relationship between social determinants of health and COVID-19 lethality in Bariloche. METHODS: A database from the National Epidemiological Surveillance System was used to analyze COVID-19 positive cases from January 2020 to December 2021. The data were geocoded and incorporated into a geographic information system (GIS). A three-step analytical framework was applied to measure health inequity, using socioeconomic indicators and access to services. A multivariate analysis was conducted to predict fatality. RESULTS: A total of 25 020 COVID-19 cases were diagnosed in Bariloche during the study period. The fatality rate was 2.1%. Significant variability in socioeconomic indicators was observed among different territorial delegations of the city. DISCUSSION: The results showed health inequities and an association between social determinants and COVID-19 lethality in Bariloche. Individuals living in areas with higher socioeconomic vulnerability had a higher risk of mortality. These findings highlight the importance of addressing health inequities in a pandemic response.

Introducción: El objetivo de este estudio fue examinar cómo la variabilidad geográfica y los determinantes sociales de la salud influyen en la tasa de letalidad por COVID-19 en Bariloche. Métodos: Se utilizó una base de datos del Sistema Nacional de Vigilancia Epidemiológica para analizar los casos positivos de COVID-19 desde enero de 2020 hasta diciembre de 2021. Los datos se geo-codificaron y se incorporaron en un sistema de información geográfica (SIG). Se aplicó un marco de análisis en tres pasos para medir la inequidad en salud, utilizando indicadores socioeconómicos y de acceso a servicios. Se realizó un análisis multivariado para predecir la letalidad. Resultados: Se diagnosticaron un total de 25 020 casos de COVID-19 en Bariloche durante el período de estudio. La letalidad fue del 2.1%. Se observó una variabilidad significativa en indicadores socioeconómicos entre las diferentes delegaciones territoriales de la ciudad. Discusión: Los resultados mostraron inequidades en salud y una asociación entre determinantes sociales y letalidad por COVID-19 en Bariloche. Las personas que vivían en áreas con mayor vulnerabilidad socioeconómica presentaron un mayor riesgo de mortalidad. Estos hallazgos resaltan la importancia de abordar las inequidades en salud en la respuesta a una pandemia.

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.

Racial and Ethnic Disparities in Veno-Venous Extracorporeal Membrane Oxygenation Mortality for Patients With Severe COVID-19.

Racial/ethnic disparities in mortality were observed during the coronavirus disease-2019 pandemic, but investigations examining the association between race/ethnicity and mortality during extracorporeal membrane oxygenation (ECMO) are limited. We performed a retrospective observational cohort study using the 2020 national inpatient sample. Multivariable logistic regression was used to estimate the odds of mortality in patients of difference race/ethnicity while controlling for confounders. There was a significant association between race/ethnicity and in-hospital mortality ( p < 0.001). Hispanic patients had significantly higher in-hospital mortality compared with White patients (odds ratio [OR] = 1.39, 95% confidence interval [CI] = 1.16-1.67, p < 0.001). Black patients and patients of other races did not have significantly higher in-hospital mortality compared with White patients (OR = 0.82, 95% CI = 0.66-1.02, p = 0.07 and OR = 1.20, 95% CI = 0.92-1.57, p = 0.18). Other variables that had a significant association with mortality included age, insurance type, Charlson comorbidity index, all patient-refined severity of illness, and receipt of care in a low-volume ECMO center (all p < 0.001). Further studies are needed to understand causes of disparities in ECMO mortality.

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.

Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria.

This study measures associations between COVID-19 deaths and sociodemographic factors (wealth, insurance coverage, urban residence, age, state population) for states in Nigeria across two waves of the COVID-19 pandemic: February 27th 2020 to October 24th 2020 and October 25th 2020 to July 25th 2021. Data sources include 2018 Nigeria Demographic and Health Survey and Nigeria Centre for Disease Control (NCDC) COVID-19 daily reports. It uses negative binomial models to model deaths, and stratifies results by respondent gender. It finds that overall mortality rates were concentrated within three states: Lagos, Edo and Federal Capital Territory (FCT) Abuja. Urban residence and insurance coverage are positively associated with differences in deaths for the full sample. The former, however, is significant only during the early stages of the pandemic. Associative differences in gender-stratified models suggest that wealth was a stronger protective factor for men and insurance a stronger protective factor for women. Associative strength between sociodemographic measures and deaths varies by gender and pandemic wave, suggesting that the pandemic impacted men and women in unique ways, and that the effectiveness of interventions should be evaluated for specific waves or periods.

Associations between rurality and regional differences in sociodemographic factors and the 1918-20 influenza and 2020-21 COVID-19 pandemics in Missouri counties: An ecological study.

This study compares pandemic experiences of Missouri's 115 counties based on rurality and sociodemographic characteristics during the 1918-20 influenza and 2020-21 COVID-19 pandemics. The state's counties and overall population distribution have remained relatively stable over the last century, which enables identification of long-lasting pandemic attributes. Sociodemographic data available at the county level for both time periods were taken from U.S. census data and used to create clusters of similar counties. Counties were also grouped by rural status (RSU), including fully (100%) rural, semirural (1-49% living in urban areas), and urban (>50% of the population living in urban areas). Deaths from 1918 through 1920 were collated from the Missouri Digital Heritage database and COVID-19 cases and deaths were downloaded from the Missouri COVID-19 dashboard. Results from sociodemographic analyses indicate that, during both time periods, average farm value, proportion White, and literacy were the most important determinants of sociodemographic clusters. Furthermore, the Urban/Central and Southeastern regions experienced higher mortality during both pandemics than did the North and South. Analyses comparing county groups by rurality indicated that throughout the 1918-20 influenza pandemic, urban counties had the highest and rural had the lowest mortality rates. Early in the 2020-21 COVID-19 pandemic, urban counties saw the most extensive epidemic spread and highest mortality, but as the epidemic progressed, cumulative mortality became highest in semirural counties. Additional results highlight the greater effects both pandemics had on county groups with lower rates of education and a lower proportion of Whites in the population. This was especially true for the far southeastern counties of Missouri ("the Bootheel") during the COVID-19 pandemic. These results indicate that rural-urban and socioeconomic differences in health outcomes are long-standing problems that continue to be of significant importance, even though the overall quality of health care is substantially better in the 21st century.

[Occupational differences of COVID-19 morbidity and mortality in Germany. An analysis of health insurance data from 3.17 million insured persons]. / Berufsbedingte Unterschiede bei COVID-19-Morbidität und -Mortalität in Deutschland. Eine Analyse von Krankenkassendaten von 3,17 Mio. Versicherten.

INTRODUCTION: During the COVID-19 pandemic, occupation was assumed to play a central role in the occurrence of infection and disease. For Germany, however, there are only a few studies that analyse occupational differences in risk of COVID-19, COVID-19-associated hospitalisation, and mortality. METHODS: The study uses longitudinal health insurance data from the research database of the Institute for Applied Health Research (InGef) with information on 3.17 million insured persons aged 18-67 years (1,488,452 women; 1,684,705 men). Outcomes (morbidity, hospitalisation, and mortality) were determined on the basis of submitted COVID-19 diagnoses between 1 January 2020 and 31 December 2021. Occupations were classified according to four groupings of the official German classification of occupations. In addition to cumulative incidences, relative risks (RR) were calculated - separately for men and women. RESULTS: There is an increased risk of disease in personal service occupations, especially in health care, compared to other occupations (RR for women 1.46; for men 1.30). The same applies to social and cultural service occupations (but only for women) and for manufacturing occupations (only for men). In addition, the risks for hospitalisation and mortality are increased for cleaning occupations and transport and logistics occupations (especially for men). For all three outcomes, the risks are higher in non-managerial occupations and differ by skill level (highest for unskilled jobs and lowest for expert positions). CONCLUSION: The study provides important findings on work- and gender-related differences in COVID-19 morbidity and mortality in Germany, which indicate starting points for structural infection protection measures.

Association between distance to community health care facilities and COVID-19-related mortality across U.S. counties in the COVID-19-vaccine era.

OBJECTIVE: COVID-19 has caused tremendous damage to U.S. public health, but COVID vaccines can effectively reduce the risk of COVID-19 infections and related mortality. Our study aimed to quantify the association between proximity to a community healthcare facility and COVID-19 related mortality after COVID vaccines became publicly available and explore how this association varied across racial and ethnic groups. RESULTS: Residents living farther from a facility had higher COVID-19-related mortality across U.S. counties. This increased mortality incidence associated with longer distances was particularly pronounced in counties with higher proportions of Black and Hispanic populations.

COVID-19 Mortality by Race and Ethnicity in US Metropolitan and Nonmetropolitan Areas, March 2020 to February 2022.

Importance: Prior research has established that Hispanic and non-Hispanic Black residents in the US experienced substantially higher COVID-19 mortality rates in 2020 than non-Hispanic White residents owing to structural racism. In 2021, these disparities decreased. Objective: To assess to what extent national decreases in racial and ethnic disparities in COVID-19 mortality between the initial pandemic wave and subsequent Omicron wave reflect reductions in mortality vs other factors, such as the pandemic's changing geography. Design, Setting, and Participants: This cross-sectional study was conducted using data from the US Centers for Disease Control and Prevention for COVID-19 deaths from March 1, 2020, through February 28, 2022, among adults aged 25 years and older residing in the US. Deaths were examined by race and ethnicity across metropolitan and nonmetropolitan areas, and the national decrease in racial and ethnic disparities between initial and Omicron waves was decomposed. Data were analyzed from June 2021 through March 2023. Exposures: Metropolitan vs nonmetropolitan areas and race and ethnicity. Main Outcomes and Measures: Age-standardized death rates. Results: There were death certificates for 977 018 US adults aged 25 years and older (mean [SD] age, 73.6 [14.6] years; 435 943 female [44.6%]; 156 948 Hispanic [16.1%], 140 513 non-Hispanic Black [14.4%], and 629 578 non-Hispanic White [64.4%]) that included a mention of COVID-19. The proportion of COVID-19 deaths among adults residing in nonmetropolitan areas increased from 5944 of 110 526 deaths (5.4%) during the initial wave to a peak of 40 360 of 172 515 deaths (23.4%) during the Delta wave; the proportion was 45 183 of 210 554 deaths (21.5%) during the Omicron wave. The national disparity in age-standardized COVID-19 death rates per 100 000 person-years for non-Hispanic Black compared with non-Hispanic White adults decreased from 339 to 45 deaths from the initial to Omicron wave, or by 293 deaths. After standardizing for age and racial and ethnic differences by metropolitan vs nonmetropolitan residence, increases in death rates among non-Hispanic White adults explained 120 deaths/100 000 person-years of the decrease (40.7%); 58 deaths/100 000 person-years in the decrease (19.6%) were explained by shifts in mortality to nonmetropolitan areas, where a disproportionate share of non-Hispanic White adults reside. The remaining 116 deaths/100 000 person-years in the decrease (39.6%) were explained by decreases in death rates in non-Hispanic Black adults. Conclusions and Relevance: This study found that most of the national decrease in racial and ethnic disparities in COVID-19 mortality between the initial and Omicron waves was explained by increased mortality among non-Hispanic White adults and changes in the geographic spread of the pandemic. These findings suggest that despite media reports of a decline in disparities, there is a continued need to prioritize racial health equity in the pandemic response.