[Differences due to socio-economic status, genetic background and sex in cancer and precision medicine - An intersectional approach to close the care gap for marginalized groups]. / Unterschiede durch sozioökomische Benachteiligung, genetischen Hintergrund und Geschlecht bei Tumorerkrankungen.

Malignant tumor diseases constitute the 2nd most common cause of death and due to our extended life expectancy cancer per se has substantially increased, being highly prevalent after cardiovascular diseases. Evidence also generated from the COVID-19 pandemic, that defined gender differences exist in symptom and disease courses, and have advocated the need to assess gender, ethnic/racial and minority differences in cancer care and treatment more meticulously. It is becoming increasingly evident that in novel cancer care/precision oncology, representation of minorities, elderly and frail patients in clinical trials remains largely unbalanced, thus distribution of cancer success is iniquitous. This article focusses on these aspects and suggests solutions, how this can be improved.

Evidence of mental health-related morbidities and its association with socio-economic status among previously hospitalized patients with symptoms of COVID-19 in Bangladesh.

Introduction: The long-term impact of COVID-19 on mental health, particularly in relation to socio-economic vulnerabilities, has received little attention. This study reports the prevalence of mental health-related symptoms among previously hospitalized patients after recovery from COVID-19, and its association with socio-economic status (SES). Methods: Data collection of this cross-sectional study was conducted during February-April 2021, among previously hospitalized patients with COVID-19 like symptoms, on average six months after their discharge from the hospital. Using DASS-21, a validated scale to document symptoms of depression, anxiety, and stress, information on mental health-related symptoms were recorded from 481 respondents along with sociodemographic and economic information through telephone interviews. Chi-square tests were performed to identify significant group differences. Multinomial logistic regression analyzed the association between the changes in socioeconomic characteristics and mental health-related symptoms. Relative index of inequality (RII), slope index of inequality (SII), and concentration index (CIX) were applied to capture relevant inequalities in relation to mental health-related symptoms. Results: Eleven percent of the respondents reported changes in employment status, nearly half changes in income and expenditure. Forty-five percent reported symptoms of depression, anxiety and/or stress, and 12% reported coexistence of all three symptoms. Women [Adjusted Odds Ratio, AOR: 2.95; 95% Confidence Interval, CI: 1.39-5.68], and those who reported changes in occupation [AOR: 3.04; 95% CI: 1.01-9.08] and expenditure [AOR: 2.46; 95% CI: 1.12-5.37] were more likely to report all three mental health-related symptoms compared to men and those without changes in occupation and expenditure. The older age group was less likely [AOR: 0.96; 95%CI: 0.93-0.99] to report coexistence of all three symptoms compared to their younger counterparts. Negative values of concentration index (CIX) indicate that any one mental health-related symptom was significantly concentrated among those with lower expenditure and poor SES. Conclusion: This study will help in addressing mental health-related challenges after recovery from COVID-19 among the identified vulnerable groups through relevant community-based and clinical response, including counseling services, in Bangladesh and similar LMIC contexts.

Pre-pandemic socio-economic status and changes in employment during the first lockdown (2020) on the health of middle-aged people in England: a longitudinal study.

BACKGROUND: The COVID-19 pandemic markedly disrupted people's lives. It caused higher mortality and morbidity amongst individuals from poorer socio-economic position (SEP). It is well-recognised that job loss has a negative impact on health. We hypothesised that health effects of the pandemic on middle-aged people might be different depending on SEP and changes in employment. METHODS: Data are from the Health and Employment After Fifty (HEAF), a cohort recruited 2013-2014 when aged 50-64 through 24 English general practices. At baseline and annually since, participants completed a questionnaire reporting about demographics, employment, health, lifestyle, and finances. In 2021 we sent an e-survey to all contactable HEAF participants, asking about effects of the first lockdown (March-July 2020). Outcomes were participants' perception of worsening of mental, physical health, and self-rated health (SRH) since lockdown. Associations between SEP, COVID-19 related employment changes and health were explored with Poisson regression with robust standard error, with adjustment for age, sex, and pre-pandemic SRH. RESULTS: In total, 2,469 (53%) returned a usable questionnaire, amongst whom 2,344 provided complete information for these analyses (44% men, mean age 65.7 years). Worsening of mental, physical or SRH since lockdown was reported by 21%, 27% and 17% respectively. Mutually adjusted models showed that reporting struggling financially pre-pandemic (versus living comfortably) was associated with an increased risk of deterioration in: mental (RR = 2.0, 95%CI 1.7-2.5), physical health (RR = 2.0, 95%CI 1.6-2.3), and SRH (RR = 1.6, 95%CI 1.2-2.1). Participants working from home during lockdown and those who lost their job (as opposed to those with unchanged employment) were at increased risk of reporting deterioration in mental health and SRH. CONCLUSION: In a cohort of older workers, working from home, job loss and poorer pre-pandemic SEP were all associated with worsening of mental health and SRH since lockdown.

Changes in the Relationship Between Income and Life Expectancy Before and During the COVID-19 Pandemic, California, 2015-2021.

Importance: The COVID-19 pandemic caused a large decrease in US life expectancy in 2020, but whether a similar decrease occurred in 2021 and whether the relationship between income and life expectancy intensified during the pandemic are unclear. Objective: To measure changes in life expectancy in 2020 and 2021 and the relationship between income and life expectancy by race and ethnicity. Design, Setting, and Participants: Retrospective ecological analysis of deaths in California in 2015 to 2021 to calculate state- and census tract-level life expectancy. Tracts were grouped by median household income (MHI), obtained from the American Community Survey, and the slope of the life expectancy-income gradient was compared by year and by racial and ethnic composition. Exposures: California in 2015 to 2019 (before the COVID-19 pandemic) and 2020 to 2021 (during the COVID-19 pandemic). Main Outcomes and Measures: Life expectancy at birth. Results: California experienced 1 988 606 deaths during 2015 to 2021, including 654 887 in 2020 to 2021. State life expectancy declined from 81.40 years in 2019 to 79.20 years in 2020 and 78.37 years in 2021. MHI data were available for 7962 of 8057 census tracts (98.8%; n = 1 899 065 deaths). Mean MHI ranged from $21 279 to $232 261 between the lowest and highest percentiles. The slope of the relationship between life expectancy and MHI increased significantly, from 0.075 (95% CI, 0.07-0.08) years per percentile in 2019 to 0.103 (95% CI, 0.098-0.108; P < .001) years per percentile in 2020 and 0.107 (95% CI, 0.102-0.112; P < .001) years per percentile in 2021. The gap in life expectancy between the richest and poorest percentiles increased from 11.52 years in 2019 to 14.67 years in 2020 and 15.51 years in 2021. Among Hispanic and non-Hispanic Asian, Black, and White populations, life expectancy declined 5.74 years among the Hispanic population, 3.04 years among the non-Hispanic Asian population, 3.84 years among the non-Hispanic Black population, and 1.90 years among the non-Hispanic White population between 2019 and 2021. The income-life expectancy gradient in these groups increased significantly between 2019 and 2020 (0.038 [95% CI, 0.030-0.045; P < .001] years per percentile among Hispanic individuals; 0.024 [95% CI: 0.005-0.044; P = .02] years per percentile among Asian individuals; 0.015 [95% CI, 0.010-0.020; P < .001] years per percentile among Black individuals; and 0.011 [95% CI, 0.007-0.015; P < .001] years per percentile among White individuals) and between 2019 and 2021 (0.033 [95% CI, 0.026-0.040; P < .001] years per percentile among Hispanic individuals; 0.024 [95% CI, 0.010-0.038; P = .002] years among Asian individuals; 0.024 [95% CI, 0.011-0.037; P = .003] years per percentile among Black individuals; and 0.013 [95% CI, 0.008-0.018; P < .001] years per percentile among White individuals). The increase in the gradient was significantly greater among Hispanic vs White populations in 2020 and 2021 (P < .001 in both years) and among Black vs White populations in 2021 (P = .04). Conclusions and Relevance: This retrospective analysis of census tract-level income and mortality data in California from 2015 to 2021 demonstrated a decrease in life expectancy in both 2020 and 2021 and an increase in the life expectancy gap by income level relative to the prepandemic period that disproportionately affected some racial and ethnic minority populations. Inferences at the individual level are limited by the ecological nature of the study, and the generalizability of the findings outside of California are unknown.

The association of obesity-related traits on COVID-19 severity and hospitalization is affected by socio-economic status: a multivariable Mendelian randomization study.

BACKGROUND: Due to its large impact on human health, socio-economic status (SES) could at least partially influence the established association between obesity and coronavirus disease 2019 (COVID-19) severity. To estimate the independent effect of body size and SES on the clinical manifestations of COVID-19, we conducted a Mendelian randomization (MR) study. METHODS: Applying two-sample MR approaches, we evaluated the effects of body mass index (BMI, n = 322 154), waist circumference (WC, n = 234 069), hip circumference (n = 213 019) and waist-hip ratio (n = 210 088) with respect to three COVID-19 outcomes: severe respiratory COVID-19 (cases = 8779, controls = 1 000 875), hospitalized COVID-19 (cases = 17 992, controls = 1 810 493) and COVID-19 infection (cases = 87 870, controls = 2 210 804). Applying a multivariable MR (MVMR) approach, we estimated the effect of these anthropometric traits on COVID-19 outcomes accounting for the effect of SES assessed as household income (n = 286 301). RESULTS: BMI and WC were associated with severe respiratory COVID-19 [BMI: odds ratio (OR) = 1.51, CI = 1.24-1.84, P = 3.01e-05; WC: OR = 1.48, 95% CI = 1.15-1.91, P = 0.0019] and hospitalized COVID-19 (BMI: OR = 1.50, 95% CI = 1.32-1.72, P = 8.83e-10; WC: OR = 1.41, 95% CI = 1.20-1.67, P = 3.72e-05). Conversely, income was associated with lower odds of severe respiratory (OR = 0.70, 95% CI = 0.53-0.93, P = 0.015) and hospitalized COVID-19 (OR = 0.78, 95% CI = 0.66-0.92, P = 0.003). MVMR analyses showed that the effect of these obesity-related traits on increasing the odds of COVID-19 negative outcomes becomes null when accounting for income. Conversely, the association of income with lower odds of COVID-19 negative outcomes is not affected when including the anthropometric traits in the multivariable model. CONCLUSION: Our findings indicate that SES contributes to the effect of obesity-related traits on COVID-19 severity and hospitalization.

The Association Between Men's Mental Health During COVID-19 and Deterioration in Economic Status.

This study investigated associations among economic status deterioration, mental health, and gender during the COVID-19 pandemic. A total of 1,807 participants completed an online questionnaire that included demographic variables and questions measuring three mental health variables: psychological distress (as measured by symptoms of depression, anxiety, and stress), adjustment disorder, and emotional eating. Results indicated that women reported higher mental health impairment than men. Men and women whose economic status significantly deteriorated because of the COVID-19 pandemic reported greater mental health impairment than those whose economic status did not significantly deteriorate. However, men whose economic status significantly deteriorated reported high mental health impairment (emotional eating and adjustment difficulties) similar to women in the same situation. This change in men's reporting pattern suggests that the economic impact of COVID-19 severely impacted their mental health and affected how they view their masculinity, which, in turn, further impaired their mental health. As the COVID-19 outbreak has had a significant impact on mental health worldwide, it is important to identify individuals and groups who are at high risk of mental health impairment. The current study demonstrates that men's distress, which is frequently complex to identify, can be detected using standardized measures and analyzing these according to changes in reporting patterns as opposed to simply examining means and frequencies. The results suggest that the COVID-19 crisis may provide an opportunity to understand more about mental health, in particular, that of men.

Relationship between screen time among children and lower economic status during elementary school closures due to the coronavirus disease 2019 pandemic.

BACKGROUND: This study aimed to examine whether the extended use of a variety of digital screen devices was associated with lower economic status and other environmental factors among Korean elementary school children and their caregivers during school closures precipitated by the coronavirus disease 2019 (COVID-19) pandemic. METHODS: A total of 217 caregivers of children 7-12 years of age from Suwon, Korea, were recruited and asked to respond to a self-administered questionnaire in June 2020. The questionnaire addressed demographic information and children's use of digital media, in addition to their caregivers. The t-test was used for continuous variables, and the Kruskal-Wallis test was used for variables measured on an interval scale. A multiple regression analyses were performed to examine the effects of significant correlative factors on screen time in children as predictors. RESULTS: Children with lower household incomes demonstrated a higher frequency and longer duration of smartphone and tablet personal computer use compared to those from higher income households. Children of households in which incomes decreased after COVID-19 used smartphones and tablet PCs more often and for longer durations. Children from households that experienced decreased income(s) after COVID-19 used personal computers more often and for a longer duration, and children from low-income families engaged in longer screen time on smartphones. A change in primary caregiver(s) may have increased children's screen time on smartphones. CONCLUSION: Lower household income was associated with longer screen time among children, and poor mental health among caregivers during school closures precipitated the COVID-19 pandemic.

Mental, Physical and Socio-Economic Status of Adults Living in Spain during the Late Stages of the State of Emergency Caused by COVID-19.

Research has shown that the confinement measures implemented to curb the spread of COVID-19 can have negative effects on people's lives at multiple levels. The objective of this cross-sectional study was to better understand the mental, physical, and socio-economic status of adults living in Spain during the late stages of the state of emergency caused by COVID-19. Five hundred and forty-four individuals responded to an online survey between 3 June and 30 July 2020. They were asked to report data about their mental and physical health, financial situation, and satisfaction with the information received about the pandemic. Means, percentages, t-test, ANOVAs, and logistic regressions were computed. A third of the participants reported symptoms of anxiety, depression, and stress, and worries about their health and the future. Participants also described mild levels of fatigue and pain during lockdown (66%), and a reduction in household income (39%). Respondents that were female, younger, single, and with lower levels of education reported experiencing a greater impact of the COVID-19 pandemic. The data showed that the negative effects of lockdown were present in the late stages of the state of emergency. The findings can be used to contribute to the development of programs to prevent or mitigate the negative impact of confinement measures.

Financial vulnerability and the impact of COVID-19 on American households.

In May 2020, Westat, in partnership with Stanford University School of Medicine, conducted a nationally-representative household survey of American attitudes and behaviors regarding COVID-19. In this article, we examine what the Coronavirus Attitudes and Behaviors Survey tells us about the impact of COVID-19 on financial status and how this impact varies by demographic characteristics, the presence of health risk factors, and financial status (including employment factors). The survey reveals significant inequality in financial impact, as those who were most financially vulnerable prior to the pandemic found themselves under greater financial strain, while those who were more financially secure have experienced a neutral or even positive impact of the pandemic on household finances. These findings have important implications for public policy as policymakers seek to target aid to those who need it most.

Exploring factors associated with pregnant women's experiences of material hardship during COVID-19: a cross-sectional Qualtrics survey in the United States.

BACKGROUND: The COVID-19 pandemic has exacerbated the financial insecurity of women and their families globally. Some studies have explored the impact of financial strain among pregnant women, in particular, during the pandemic. However, less is known about the factors associated with pregnant women's experiences of material hardship. METHODS: This cross-sectional study used a non-probability sample to examine the factors associated with pregnant women's experiences of material hardship during the COVID-19 pandemic. In January 2021, 183 pregnant women living in the United States participated in an online Qualtrics panel survey. In addition to socio-demographic characteristics, individuals were asked about their finances and predictors of financial well-being, mental health symptoms, and intimate partner violence (IPV) experiences. Chi-square analysis and one-way ANOVA were used to examine whether women's experiences with material hardship and associated factors differed by income level (i.e., less than $20,000; $20,000 to $60,000; more than $60,000). Ordinary least squares regression was used to calculate unadjusted and adjusted estimates. RESULTS: Study findings showed that the majority of women in the sample experienced at least one form of material hardship in the past year. Individuals with an annual household income less than $20,000 reported the highest average number of material hardships experienced (M = 3.7, SD = 2.8). Compared to women with household incomes less than $20,000, women with incomes of more than $60,000 reported significantly fewer material hardships, less financial strain, and higher levels of financial support, economic self-efficacy, and economic-self-sufficiency. Women with incomes of $60,000 or more also reported significantly lower levels of psychological abuse, and a smaller percentage met the cut-off for anxiety. Economic self-sufficiency, financial strain, posttraumatic stress disorder, and economic abuse were all significantly associated with material hardship. CONCLUSIONS: A contribution of this study is that it highlights the significant, positive association between economic abuse, a unique form of IPV, and material hardship among pregnant women during the pandemic. These findings suggest the need for policy and practice interventions that help to ameliorate the financial insecurity experienced by some pregnant women, as well as respond to associated bidirectional vulnerabilities (e.g., mental health symptoms, experiences of IPV).

[Changes in dietary behaviors and food-related accessibility issues and information needs during the COVID-19 pandemic: comparison based on household economic status].

Objective　This study aimed to assess the household income changes during COVID-19 pandemic among Japanese adults, and to evaluate how this was related to changes in dietary behaviors and food-related accessibility issues and information needs during the emergency period.Method　We conducted an online cross-sectional survey in July, 2020 among residents (aged 20-69 years) of the 13 prefectures under special confinement during the COVID-19 pandemic. Participants were asked about their dietary behaviors before the pandemic (before February 2020) and during the confinement period (April-May 2020), as well as about their food-related accessibility issues and information needs during the confinement period. Data from 2,225 residents were analyzed. Participants were divided into three groups (decreased, unchanged, and increased) based on the household income changes due to COVID-19. Demographics, dietary behaviors, and food-related accessibility issues and information needs were then compared among these three groups. Multiple logistic regression analyses were performed to examine the effect of household income changes on dietary behavior changes, food-related accessibility issues, and food-related information needs, while adjusting for sociodemographic factors. Furthermore, the effect of household income changes and subjective economic status were also analyzed using multiple logistic regression analyses.Result　The participant distribution in each group were as follows: decreased (34.6%), unchanged (63.9%), and increased (1.6%). Higher proportion of those who were employed part-time, self-employed, or unemployed during the confinement period were found among the decreased group. The odds ratios (OR) of the decreased group were significantly higher than the unchanged group for lower frequency of eating out, and for higher frequency of home-cooking, consuming ready-to-eat convenience meals, and eating with children during the confinement period. Furthermore, regardless of the subjective economic status, the decreased group experienced difficulties in accessing required foods because of shortages and congestion in grocery stores, as well as increased prices. Additionally, food-related information needs regarding reduction of food expenses were also high among the decreased group.Conclusion　Participants with a decreased household income were more likely to experience difficulties with food accessibility and desire information about lowering food-related expenses. Furthermore, they reported lower frequency of eating out, and higher frequency of home-cooking and consuming ready-to-eat convenience meals during the confinement period than before the pandemic. Future studies should evaluate the direction (positive or negative) of these changed food consumption patterns.

Dying from cancer with COVID-19: age, sex, socio-economic status, and comorbidities.

BACKGROUND: The COVID-19 pandemic has caused excess deaths (all causes) and has disproportionately affected the elderly with certain characteristics. OBJECTIVES: To study how COVID-19 affected cancer deaths regarding age, sex, socio-economic status, comorbidities, and access to palliative care. An additional objective was to study changes in place of care and death. MATERIAL AND METHODS: A descriptive, retrospective study of all cancer patients who died during March-May 2020 in the Stockholm region, n = 1467 of which 278 died with a COVID-19 diagnosis, compared with deaths in 2016-2019. The Stockholm Regional Council's central data warehouse was used. T-tests, 95% CI, Wilcoxon and chi-squared tests were used for comparisons. RESULTS: There were excess cancer deaths compared with 2016-2019 (p < 0.001) and patients dying with a COVID-19 diagnosis were older (79.7 vs. 75.9 years, p < 0.0001), more often male (67% vs. 55%, p < 0.0001), and had more comorbidities (Charlson Comorbidity Index 1.6 vs. 1.1, p < 0.0001). Patients with COVID-19 more seldom had access to palliative care (34% vs. 59%, p = 0.008), had more changes in place of care during the last two weeks of life (p < 0.0001) and died more often in acute hospitals (34% vs. 14%, p < 0.0001). For the subgroup with access to palliative care, the hospital deaths for individuals with and without a COVID-19 diagnosis were 11% and 4%, respectively (p = 0.008). CONCLUSION: Cancer patients dying with a COVID-19 diagnosis were older, more often male, and had more comorbidities. A COVID-19 diagnosis negatively affected the probability of being admitted to specialized palliative care and increased the likelihood of dying in an acute hospital.

Perinatal health care access, childbirth concerns, and birthing decision-making among pregnant people in California during COVID-19.

BACKGROUND: During public health emergencies, including the COVID-19 pandemic, access to adequate healthcare is crucial for providing for the health and wellbeing of families. Pregnant and postpartum people are a particularly vulnerable subgroup to consider when studying healthcare access. Not only are perinatal people likely at higher risk for illness, mortality, and morbidity from COVID-19 infection, they are also at higher risk for negative outcomes due to delayed or inadequate access to routine care. METHODS: We surveyed 820 pregnant people in California over two waves of the COVID-19 pandemic: (1) a 'non-surge' wave (June 2020, n = 433), and (2) during a 'surge' in cases (December 2020, n = 387) to describe current access to perinatal healthcare, as well as concerns and decision-making regarding childbirth, over time. We also examined whether existing structural vulnerabilities - including acute financial insecurity and racial/ethnic minoritization - are associated with access, concerns, and decision-making over these two waves. RESULTS: Pregnant Californians generally enjoyed more access to, and fewer concerns about, perinatal healthcare during the winter of 2020-2021, despite surging COVID-19 cases and hospitalizations, as compared to those surveyed during the COVID-19 'lull' in the summer of 2020. However, across 'surge' and 'non-surge' pandemic circumstances, marginalized pregnant people continued to fare worse - especially those facing acute financial difficulty, and racially minoritized individuals identifying as Black or Indigenous. CONCLUSIONS: It is important for clinicians, researchers, and policymakers to understand whether and how shifting community transmission and infection rates may impact access to perinatal healthcare. Targeting minoritized and financially insecure communities for increased upstream perinatal healthcare supports are promising avenues to blunt the negative impacts of the COVID-19 pandemic on pregnant people in California.

Mobility-based real-time economic monitoring amid the COVID-19 pandemic.

Mobility restrictions have been identified as key non-pharmaceutical interventions to limit the spread of the SARS-COV-2 epidemics. However, these interventions present significant drawbacks to the social fabric and negative outcomes for the real economy. In this paper we propose a real-time monitoring framework for tracking the economic consequences of various forms of mobility reductions involving European countries. We adopt a granular representation of mobility patterns during both the first and second waves of SARS-COV-2 in Italy, Germany, France and Spain to provide an analytical characterization of the rate of losses of industrial production by means of a nowcasting methodology. Our approach exploits the information encoded in massive datasets of human mobility provided by Facebook and Google, which are published at higher frequencies than the target economic variables, in order to obtain an early estimate before the official data becomes available. Our results show, in first place, the ability of mobility-related policies to induce a contraction of mobility patterns across jurisdictions. Besides this contraction, we observe a substitution effect which increases mobility within jurisdictions. Secondly, we show how industrial production strictly follows the dynamics of population commuting patterns and of human mobility trends, which thus provide information on the day-by-day variations in countries' economic activities. Our work, besides shedding light on how policy interventions targeted to induce a mobility contraction impact the real economy, constitutes a practical toolbox for helping governments to design appropriate and balanced policy actions aimed at containing the SARS-COV-2 spread, while mitigating the detrimental effect on the economy. Our study reveals how complex mobility patterns can have unequal consequences to economic losses across countries and call for a more tailored implementation of restrictions to balance the containment of contagion with the need to sustain economic activities.

Epidemiological characteristics and outcomes of COVID-19 cases: mortality inequalities by socio-economic status, Barcelona, Spain, 24 February to 4 May 2020.

BackgroundPopulation-based studies characterising outcomes of COVID-19 in European settings are limited, and effects of socio-economic status (SES) on outcomes have not been widely investigated. AimWe describe the epidemiological characteristics of COVID-19 cases, highlighting incidence and mortality rate differences across SES during the first wave in Barcelona, Catalonia, Spain.MethodsThis population-based study reports individual-level data of laboratory-confirmed COVID-19 cases diagnosed from 24 February to 4 May 2020, notified to the Public Health Agency of Barcelona and followed until 15 June 2020. We analysed end-of-study vital status and the effects of chronic conditions on mortality using logistic regression. Geocoded addresses were linked to basic health area SES data, estimated using the composed socio-economic index. We estimated age-standardised incidence, hospitalisation, and mortality rates by SES.ResultsOf 15,554 COVID-19-confirmed cases, the majority were women (n = 9,028; 58%), median age was 63 years (interquartile range: 46-83), 8,046 (54%) required hospitalisation, and 2,287 (15%) cases died. Prevalence of chronic conditions varied across SES, and multiple chronic conditions increased risk of death (≥ 3, adjusted odds ratio: 2.3). Age-standardised rates (incidence, hospitalisation, mortality) were highest in the most deprived SES quartile (incidence: 1,011 (95% confidence interval (CI): 975-1,047); hospitalisation: 619 (95% CI: 591-648); mortality: 150 (95% CI: 136-165)) and lowest in the most affluent (incidence: 784 (95% CI: 759-809); hospitalisation: 400 (95% CI: 382-418); mortality: 121 (95% CI: 112-131)).ConclusionsCOVID-19 outcomes varied markedly across SES, underscoring the need to implement effective preventive strategies for vulnerable populations.