Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London.

We use data on human mobility obtained from mobile applications to explore the activity patterns in the neighbourhoods of Greater London as they emerged from the first wave of COVID-19 lockdown restrictions during summer 2020 and analyse how the lockdown guidelines have exposed the socio-spatial fragmentation between urban communities. The location data are spatially aggregated to 1 km2 grids and cross-checked against publicly available mobility metrics (e.g. Google COVID-19 Community Report, Apple Mobility Trends Report). They are then linked to geodemographic classifications to compare the average decline of activities in the areas with different sociodemographic characteristics. We found that the activities in the deprived areas dominated by minority groups declined less compared to the Greater London average, leaving those communities more exposed to the virus. Meanwhile, the activity levels declined more in affluent areas dominated by white-collar jobs. Furthermore, due to the closure of non-essential stores, activities declined more in premium shopping destinations and less in suburban high streets.

Impact of the COVID-19 Pandemic on the Socioeconomic Inequalities in Mortality in Spanish Provinces.

BACKGROUND: Although many studies have assessed the socioeconomic inequalities caused by COVID-19 in several health outcomes, there are numerous issues that have been poorly addressed. For instance, have socioeconomic inequalities in mortality from COVID-19 increased? What impact has the pandemic had on inequalities in specific causes of mortality other than COVID-19? Are the inequalities in COVID-19 mortality different from other causes? In this paper we have attempted to answer these questions for the case of Spain. METHODS: We used a mixed longitudinal ecological design in which we observed mortality from 2005 to 2020 in the 54 provinces into which Spain is divided. We considered mortality from all causes, not excluding, and excluding mortality from COVID-19; and cause-specific mortality. We were interested in analysing the trend of the outcome variables according to inequality, controlling for both observed and unobserved confounders. RESULTS: Our main finding was that the increased risk of dying in 2020 was greater in the Spanish provinces with greater inequality. In addition, we have found that: (i) the pandemic has exacerbated socioeconomic inequalities in mortality, (ii) COVID-19 has led to gender differences in the variations in risk of dying (higher in the case of women) and (iii) only in cardiovascular diseases and Alzheimer did the increased risk of dying differ between the most and least unequal provinces. The increase in the risk of dying was different by gender (greater in women) for cardiovascular diseases and cancer. CONCLUSION: Our results can be used to help health authorities know where and in which population groups future pandemics will have the greatest impact and, therefore, be able to take appropriate measures to prevent such effects.

Socioeconomic inequality in the worsening of psychosocial wellbeing via disrupted social conditions during COVID-19 among adolescents in Hong Kong: self-resilience matters.

Background: Adolescents, especially the socioeconomically disadvantaged, are facing devastating psychosocial impact of the COVID-19 pandemic during their critical developmental period. This study aims to (i) examine the socioeconomic patterning of the worsening of psychosocial wellbeing, (ii) delineate the underlying mediating factors (i.e., overall worry about COVID-19, family's financial difficulty, learning problems, and loneliness), and (iii) explore the moderating effect of resilience in the inter-relationship among adolescents under COVID-19. Methods: Based on maximum variation sampling of 12 secondary schools of diverse socioeconomic background in Hong Kong, 1018 students aged 14-16 years were recruited and completed the online survey between September and October 2021. Multi-group structural equation modeling (SEM) by resilience levels was employed to delineate the pathways between socioeconomic position and the worsening of psychosocial wellbeing. Results: SEM analysis showed a significant total effect of socioeconomic ladder with the worsening of psychosocial wellbeing during the pandemic in the overall sample (ß = -0.149 [95% CI = -0.217 - -0.081], p < 0.001), which operated indirectly through learning problems and loneliness (both p < 0.001 for their indirect effects). Consistent pattern with stronger effect size was observed in the lower resilience group; nonetheless, the associations were substantially mitigated in the higher resilience group. Conclusion: In addition to facilitating self-directed learning and easing loneliness during the pandemic, evidence-based strategies to build up resilience among adolescents are critical to buffer against the adverse socioeconomic and psychosocial impacts of the pandemic or other potential catastrophic events in the future.

Walking Together Indicator (WTI): Understanding and Measuring World Inequality

Socio-economic inequality may be addressed at a different scale. Its impact at a micro and macro level on very many social issues is well-known, as well as its effects on global development being extensively reported in literature, where inequality is often seen as a clear barrier on the path to a sustainable development. That becomes extremely critical in light of major global challenges, such as climate change. The quantification of inequality in the different contexts, its interpretation, as well as its impact on society at a different level are object of major interest and discussion within the scientific community. Inspired by the famous African proverb "if you want to go fast go alone;If you want to go far go together", we propose an indicator-Walking Together Indicator (WTI), based on a simple model to foster transparency and broad communication. It relies on the statistical standard deviation to facilitate the measurement of inequality looking at single metrics (e.g., GDP) as well as considering broad categories (e.g., Economy) composed of multiple indicators. Despite evident limitations, simplifications (context-less comparison among countries) and approximations (significant lack of data), the study conducted on well-known macro indicators presents a fundamental coherence in the result. Indeed, it shows a reducing inequality in the main trends. On the other side, the performed computations also point out a relevant exception for the main economic indicator, which is characterised, overall, by an increasing inequality among the considered countries. Such a contrasting trend is partially explainable looking at the simplifications in the model, which neither considers dependencies among indicators nor assumes weighting. The indicator provides a very encouraging and optimistic figure. However, the recent pandemic has shown a world running at different speeds. It advises a more conservative interpretation of the indicator as the exception related to economy is relevant.

Area-level socioeconomic deprivation, non-national residency, and Covid-19 incidence: A longitudinal spatiotemporal analysis in Germany.

Background: Socioeconomic conditions affect the dynamics of the Covid-19 pandemic. We analysed the association between area-level socioeconomic deprivation, proportion of non-nationals, and incidence of Covid-19 infections in Germany. Methods: Using linked nationally representative data at the level of 401 German districts from three waves of infection (January-2020 to May-2021), we fitted Bayesian spatiotemporal models to assess the association between socioeconomic deprivation, and proportion of non-nationals with Covid-19 incidence, controlling for age, sex, vaccination coverage, settlement structure, and spatial and temporal effects. We estimated risk ratios (RR) and corresponding 95% credible intervals (95% CrI). We further examined the deprivation domains (education, income, occupation), interactions between deprivation, sex and the proportion of non-nationals, and explored potential pathways from deprivation to Covid-19 incidence. Findings: Covid-19 incidence risk was 15% higher (RR=1·15, 95%-CrI=1·06-1·24) in areas classified with the highest deprivation quintile (Q5) compared to the least deprived areas (Q1). Medium-low (Q2), medium (Q3), and medium-high (Q4) deprived districts showed 6% (1·06, 1·00-1·12), 8% (1·08, 1·01-1·15), and 5% (1·05, 0·98-1·13) higher risk, respectively, compared to the least deprived. Districts with higher proportion of non-nationals showed higher incidence risk compared to districts with lowest proportion, but the association weakened across the three waves. During the first wave, an inverse association was observed with highest incidence risk in least deprived areas (Q1). Deprivation interacted with sex, but not with the proportion of non-nationals. Interpretation: Socioeconomic deprivation, and proportion of non-nationals are independently associated with the incidence of Covid-19. Regional planning of non-pharmaceutical interventions and vaccination strategies would benefit from consideration of area-level deprivation and non-national residency. Funding: The study was funded by the German Ministry of Health (ZMV I 1 - 25 20 COR 410).

"Did You Wash Your Hands?" The Socioeconomic Inequalities Preventing Youth From Adopting Protective Behaviors During COVID-19 in South Africa.

Background. Behavior change has been a critical factor in slowing the spread of COVID-19. In South Africa where infection rates are high, research is needed on the protective behaviors adopted by youth who have low infection rates but are carriers of the virus. Aims. The purpose of this study is to (1) identify the protective behaviors young people adopted during the pandemic and (2) to estimate the probability of positive behavior change by demographic and socioeconomic characteristics. Methods. The study uses data from the South African National Income Dynamics-Coronavirus Rapid Mobile Survey 2020. The sample includes 985 (n) youth aged 15-24 years. The outcome of interest is behavior change due to the Coronavirus. Cross-tabulations and an adjusted binary logistic regression model showing odds ratios, are fit to the data. Results. Not all youth adopted protective behaviors. The most prevalent behaviors adopted include washing hands (67.75%) and staying at home (54.02%). Youth in households with six or more members are more likely to change their behaviors (ORs = 1.67 and 1.64, both p-values < .05). However, youth who do not have access to water to wash hands (OR = 0.71), reside in households with food insecurity (OR = 0.94), and those living in nonformal housing (OR = 0.69) are less likely to adopt behavior change. Conclusion. Due to the socioeconomic inequalities associated with behavior change, there is need for more tailored approaches to address youth living in impoverished households in the country.

Inequalities in COVID-19 vaccination coverage in Peru: An ecological study.

Objective: To assess the correlation between COVID-19 vaccination coverage and the Human Development Index (HDI) at the provincial level in Peru. Study design: Ecological study. Methods: We conducted a cross-sectional ecological study based on secondary data analysis. Coverages of the first, second, and third doses of the vaccine against COVID-19 and the HDI were evaluated. The magnitude of the correlations was assessed using Spearman's rank correlation coefficients with their corresponding bootstrapped 95% confidence intervals (95% CI). Scatter plots were also constructed. Results: A total of 196 provinces were included. There was a moderate correlation between the first dose of the COVID-19 vaccine and the HDI (r = 0.3807 [95% CI 0.2585-0.5030], p < 0.0001). The same direction was found for the second (r = 0.4064 [95% CI 0.2853-0.5276], p < 0.0001) and third dose (r = 0.4435 [95% CI 0.3201-0.5669], p < 0.0001). Conclusions: A positive correlation was found between COVID-19 vaccination coverage and the HDI, suggesting the presence of inequalities in access to vaccines. Individualised strategies are needed in lower HDI regions to tackle inequalities.

COVID-19 mitigation measures increase preterm birth and low birth weight in the public healthcare system in Uruguay.

OBJECTIVE: To evaluate the impact of the COVID-19 pandemic on preterm birth (PB) and low birth weight (LBW), comparing public and private healthcare systems of the National Integrated Health System in Uruguay, where the mitigation measures for the COVID-19 pandemic generated an immediate socioeconomic and psychological crisis, which caused a sharp widening of existing socioeconomic inequalities. METHODS: A national observational study was conducted comparing perinatal outcomes in the first 6 months of 2020 (period of the pandemic without pregnancy infections), which was the beginning of the pandemic, with the same period of the previous year 2019 (pre-pandemic period with no mitigation measures) among pregnant women from the public and private health systems. Data were retrieved from the national database (Informatic Perinatal System) and analyzed by healthcare system category. RESULTS: A total of 36 559 deliveries were assessed: 18 563 in the 2019 study period and 17 996 in the 2020 study period. In the public system, there was a significant increase in the risk of LBW (adjusted relative risk [aRR] 1.12, 95% confidence interval [CI] 1.05-1.36) and of the composite outcome (PB or LBW) (aRR 1.15, 95% CI 1.04-1.26). In the private system, by contrast, there was a non-statistically significant decrease of LBW and there were no changes in the incidence of PB and the composite outcome in 2020. CONCLUSION: The different evolution of birth outcomes in the public and private systems suggests an unequal impact of mitigation measures on populations of different socioeconomic levels. Given that no COVID-19 infections were identified in pregnant women during the study period, this research offers an opportunity to differentiate the biologic effects of the virus from the psychological and social impacts derived from containment measures. GOV IDENTIFIER: NCT05087160.

Interlinkages between Climate Change and Food Systems: The Impact on Child Malnutrition-Narrative Review.

The pandemics of obesity, undernutrition, and climate change represent severe threats to child health. They co-occur; interact with each other to produce sequelae at biological, psychological, or social levels; and share common underlying drivers. In this paper, we review the key issues concerning child diet and nutritional status, focusing on the interactions with climate and food systems. Inadequate infant and young child feeding practices, food insecurity, poverty, and limited access to health services are the leading causes of malnutrition across generations. Food system industrialization and globalization lead to a double burden of malnutrition, whereby undernutrition (i.e., stunting, wasting, and deficiencies in micronutrients) coexists with overweight and obesity, as well as to harmful effects on climate. Climate change and the COVID-19 pandemic are worsening child malnutrition, impacting the main underlying causes (i.e., household food security, dietary diversity, nutrient quality, and access to maternal and child health), as well as the social, economic, and political factors determining food security and nutrition (livelihoods, income, infrastructure resources, and political context). Existing interventions have the potential to be further scaled-up to concurrently address undernutrition, overnutrition, and climate change by cross-cutting education, agriculture, food systems, and social safety nets. Several stakeholders must work co-operatively to improve global sustainable nutrition.

Temporal Dynamics of Socioeconomic Inequalities in COVID-19 Outcomes Over the Course of the Pandemic-A Scoping Review.

Objectives: International evidence of socioeconomic inequalities in COVID-19 outcomes is extensive and growing, but less is known about the temporal dynamics of these inequalities over the course of the pandemic. Methods: We systematically searched the Embase and Scopus databases. Additionally, several relevant journals and the reference lists of all included articles were hand-searched. This study follows the PRISMA guidelines for scoping reviews. Results: Forty-six studies were included. Of all analyses, 91.4% showed stable or increasing socioeconomic inequalities in COVID-19 outcomes over the course of the pandemic, with socioeconomically disadvantaged populations being most affected. Furthermore, the study results showed temporal dynamics in socioeconomic inequalities in COVID-19, frequently initiated through higher COVID-19 incidence and mortality rates in better-off populations and subsequent crossover dynamics to higher rates in socioeconomically disadvantaged populations (41.9% of all analyses). Conclusion: The identified temporal dynamics of socioeconomic inequalities in COVID-19 outcomes have relevant public health implications. Socioeconomic inequalities should be monitored over time to enable the adaption of prevention and interventions according to the social particularities of specific pandemic phases.

[The Impact of the COVID-19 Pandemic on the Unmet Healthcare Needs in People Aged Over 50 in Portugal]. / COVID-19 e Necessidades em Saúde Não Satisfeitas para Indivíduos Com Mais de 50 anos em Portugal.

INTRODUCTION: The COVID-19 pandemic led to the cancellation of healthcare appointments and to lower demand, which generated unmet healthcare needs. The aim of this study was to evaluate their prevalence and distribution in Portugal. MATERIAL AND METHODS: Data came from the "Survey of Health, Ageing and Retirement in Europe". Between June and August 2020, 1118 Portuguese individuals aged 50 or over were inquired about unmet healthcare needs due to: i) fear of getting infected; ii) cancellation by the doctor/healthcare services; iii) unsuccessful consultation request. The analysis of the prevalence of unmet needs was complemented by the calculation of the concentration indices as a function of the variables: income, education and health status. RESULTS: About 60% of respondents reported at least one unmet need, which was almost twice the European average. Motive ii) cancellation by the doctor/healthcare services was the most frequent. The prevalence of unmet needs differed depending on income level and health status. The indices evidence the concentration of unmet needs in individuals with the worst health status, although for the reason fear of infection the concentration occurred in those with higher levels of income and education. CONCLUSION: Our study showed a high prevalence of unmet needs and their concentration in individuals with worse health status. Given the association between unmet needs and the subsequent deterioration of health, these results should raise concerns about the near future.

Introdução: A pandemia por COVID-19 conduziu ao cancelamento de cuidados de saúde e à diminuição da sua procura resultando em necessidades de cuidados de saúde não satisfeitas. O objetivo deste trabalho foi avaliar a sua prevalência e distribuição, em Portugal. Material e Métodos: Os dados provêm do Survey of Health, Ageing and Retirement in Europe. Foram inquiridos 1118 portugueses com 50 ou mais anos, entre junho e agosto de 2020, sobre necessidades de cuidados de saúde não satisfeitas por: i) receio de ser infetado; ii) cancelamento por parte dos serviços de saúde; iii) solicitação de consulta não atendida. A análise de prevalência de necessidades não satisfeitas foi complementada pelo cálculo de índices de concentração em função das variáveis: rendimento, educação e estado de saúde. Resultados: Cerca de 60% dos inquiridos reportaram pelo menos uma necessidade não satisfeita, quase o dobro da média europeia, sendo o motivo ii) cancelamento por parte dos serviços de saúde o mais frequente. A prevalência de necessidades não satisfeitas diferiu consoante o nível de rendimento e o estado de saúde. Os índices comprovaram a sua concentração nos indivíduos com pior estado de saúde, embora para o motivo Receio a concentração ocorresse nos que têm maior rendimento e nível de educação. Conclusão: O nosso estudo revelou uma elevada prevalência de necessidades de cuidados de saúde não satisfeitas e a sua concentração em indivíduos com pior estado de saúde. Dada a associação entre necessidades não satisfeitas e a subsequente deterioração da saúde, estes resultados constituem um alerta para o futuro próximo.

How Did the COVID-19 Pandemic Affect Migrant Populations in Lisbon, Portugal? A Study on Perceived Effects on Health and Economic Condition.

Increasing evidence on the effects of the COVID-19 pandemic suggests that its social and health impacts are being disproportionately shouldered by socioeconomically disadvantaged populations, including migrants. Knowledge of how these populations are experiencing the COVID-19 crisis is scarce. We examined the effects of the pandemic on the perceived individual financial situation and health condition of migrants in Lisbon, Portugal, and described the most affected subgroups. A cross-sectional survey was conducted with a diverse community-based sample of 1126 migrants. A worsening of their financial situation since the pandemic was reported by 55.6% of the participants and a worsening of their health condition by 19.9%. A worsened financial situation was most often reported by those ≥45 years old and with a lower income (

Education inequalities in overall mortality during the first wave of the COVID-19 pandemic in Italy.

BACKGROUND: there is increasing concern that the COVID-19 pandemic has disproportionately affected the most vulnerable individuals. OBJECTIVES: to determine whether education inequalities have widened during the first wave of the COVID-19 pandemic in Italy. DESIGN: historic cohort study based on administrative databases. SETTING AND PARTICIPANTS: the study was based on subjects registered in the Base Register of Individuals on 01.01.2019, aged >=35 years, and followed-up until 30.06.2020. MAIN OUTCOME MEASURES: education inequalities in mortality before, during the first phase (March-April), and during the second phase (May-June) of the first pandemic wave in Italy were measured through the mortality rate ratios (MRRs). MMRs were estimated through negative binomial models. The interaction term between period and education was tested through the likelihood ratio test. RESULTS: the cohort included 37,976,670 individuals, and 719,665 of them died over the follow-up. In high pandemic areas, the MRR among less educated men were: 1.48 (95%CI 1.42-1.55) in the pre-pandemic period, 1.45 (95%CI 1.36-1.55) in the first phase and 1.42 (95%CI 1.30-1.56) in the second phase of the pandemic (p-value: 0.92). Corresponding figures among women were: 1.26 (95%CI 1.21-1.32), 1.39 (95%CI 1.30-1.49), and 1.35 (95%CI 1.23-1.48); p-value: 0.03. The MRRs substantially increased in the first pandemic phase among women aged 35-64 years (from 1.48 to 1.98; p-value; 0.011) and 65-79 years (from 1.22 to 1.51; p-value: 0.017). During the second phase, the MRRs returned to the values observed before the pandemic. CONCLUSIONS: in Italy, education inequality in mortality widened during the COVID-19 pandemic among working-age women and those aged 65-79 years.

The mental health crisis during the COVID-19 pandemic in older adults and the role of physical distancing interventions and social protection measures in 26 European countries.

BACKGROUND: The COVID-19 pandemic and associated policy responses, such as physical distancing interventions, pose risks to mental health that could be mitigated by social support systems. We examine associations between changes in mental health in the population aged 50 years and older in Europe and stringency of pandemic responses and social protection. METHODS: We analysed data from the Survey of Health, Ageing and Retirement in Europe: n = 50,278 individuals aged 50 years and older in 26 European countries between June and August 2020. Linear multivariable regression models were used to evaluate potential risk factors for deterioration in self-reported mental health and investigate whether social protection systems mitigate it. RESULTS: Across the European Union, 28.1% (95% CI:27.1-29.2) of participants reported worsening mental health since the beginning of the pandemic, ranging from 16.1% in Slovakia to 54.8% in Portugal. Factors associated with increased risk of deterioration included: being female (12.7 percentage points (ppt), 95%CI:9.2-16.2); experiencing unmet healthcare needs during the pandemic (14.6 ppt, 95%CI:11.2-18.1); job loss during the pandemic (6.2 ppt, 95%CI:1.1-11.8); and financial hardship (5.1 ppt, 95%CI:2.9-7.2). Greater stringency of physical distancing measures in countries was associated with worsening mental health (0.2 ppt per each one point increase on a stringency index, 95% CI:0.09-0.4); however, country-level pre-pandemic expenditures on various social protection packages was associated with decreased probability of worsening mental health (-1.3 ppt, 95%CI: 0.3 to -2.3 per €1,000 increase in health care expenditures per capita and, among the unemployed, -3.8 ppt, 95%CI: 1.6 to -2.4 per €100 increase in unemployment expenditure per capita). CONCLUSIONS: The COVID-19 pandemic has been associated with substantial mental health deterioration exhibiting social inequalities. Adverse mental health has been exacerbated by policy responses to the pandemic regulating physical distancing, but social protection expenditure might have helped mitigate the impact. Strengthening social protection systems might render the mental health of the population more resilient to the consequences of crises such as the COVID-19 pandemic.

Impact of COVID-19 Pandemic Lockdown on Mental Well-Being of Norwegian Adolescents During the First Wave-Socioeconomic Position and Gender Differences.

Background: The lockdowns associated with the COVID-19 pandemic has been called a crisis in mental health, and adolescents may have been among the most affected. Comparing the first period of societal lockdown in spring 2020 to periods going back to 2014 using a rich cross-sectional dataset based on repeated surveys, we explore the potential changes in self-reported mental well-being across sociodemographic groups among Norway's adolescents. Methods: Norway closed schools and implemented strict restrictions in March 2020; an electronic questionnaire survey was distributed to lower secondary school students in Trøndelag county (N = 2,443) in May 2020. Results were compared with similar surveys conducted annually in the same county dating back to 2014. Logistic regression models were applied to investigate potential changes in depressive symptoms, loneliness, and quality of life and life satisfaction, and to detect possible differences in the impact of lockdown between the genders and socioeconomic groups. Results: The prevalence of boys and girls reporting high quality of life (43-34%; 23-16%) and life satisfaction (91-80%; 82-69%) decreased significantly compared to the pre-pandemic. For girls only, lockdown was associated with higher odds for reporting high depressive symptoms. As expected, the least privileged socioeconomic groups showed the greatest psychological distress. However, our trend analyses provided no evidence that the socioeconomic inequalities in psychological distress (according to prevalence of high depressive symptoms or loneliness) changed substantial in any direction during the first wave of the pandemic [between the pre-pandemic and inter-pandemic periods]. Conclusion: Adolescents are vulnerable, and interventions should provide them with mental health support during crises such as societal lockdown. In particular, the social and health policy, public health, and further research should target these least privileged groups.

Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters.

Objective: To investigate the association between socioeconomic deprivation and the persistence of SARS-CoV-2 clusters. Methods: We analyzed 3,355 SARS-CoV-2 positive test results in the state of Geneva (Switzerland) from February 26 to April 30, 2020. We used a spatiotemporal cluster detection algorithm to monitor SARS-CoV-2 transmission dynamics and defined spatial cluster persistence as the time in days from emergence to disappearance. Using spatial cluster persistence measured outcome and a deprivation index based on neighborhood-level census socioeconomic data, stratified survival functions were estimated using the Kaplan-Meier estimator. Population density adjusted Cox proportional hazards (PH) regression models were then used to examine the association between neighborhood socioeconomic deprivation and persistence of SARS-CoV-2 clusters. Results: SARS-CoV-2 clusters persisted significantly longer in socioeconomically disadvantaged neighborhoods. In the Cox PH model, the standardized deprivation index was associated with an increased spatial cluster persistence (hazard ratio [HR], 1.43 [95% CI, 1.28-1.59]). The adjusted tercile-specific deprivation index HR was 1.82 [95% CI, 1.56-2.17]. Conclusions: The increased risk of infection of disadvantaged individuals may also be due to the persistence of community transmission. These findings further highlight the need for interventions mitigating inequalities in the risk of SARS-CoV-2 infection and thus, of serious illness and mortality.

Socioeconomic inequalities in low birth weight risk before and during the COVID-19 pandemic in Argentina: A cross-sectional study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic may have exacerbated existing socioeconomic inequalities in health. In Argentina, public hospitals serve the poorest uninsured segment of the population, while private hospitals serve patients with health insurance. This study aimed to assess whether socioeconomic inequalities in low birth weight (LBW) risk changed during the first wave of the COVID-19 pandemic. METHODS: This multicenter cross-sectional study included 15929 infants. A difference-in-difference (DID) analysis of socioeconomic inequalities between public and private hospitals in LBW risk in a pandemic cohort (March 20 to July 19, 2020) was compared with a prepandemic cohort (March 20 to July 19, 2019) by using medical records obtained from ten hospitals. Infants were categorized by weight as LBW < 2500 g, very low birth weight (VLBW) < 1500 g and extremely low birth weight (ELBW) < 1000 g. Log binomial regression was performed to estimate risk differences with an interaction term representing the DID estimator. Covariate-adjusted models included potential perinatal confounders. FINDINGS: Of the 8437 infants in the prepandemic cohort, 4887 (57•9%) were born in public hospitals. The pandemic cohort comprised 7492 infants, 4402 (58•7%) of whom were born in public hospitals. The DID estimators indicated no differences between public versus private hospitals for LBW risk (-1•8% [95% CI -3•6, 0•0]) and for ELBW risk (-0•1% [95% CI -0•6, 0•3]). Significant differences were found between public versus private hospitals in the DID estimators (-1•2% [95% CI, -2•1, -0•3]) for VLBW risk. The results were comparable in covariate-adjusted models. INTERPRETATION: In this study, we found evidence of decreased disparities between public and private hospitals in VLBW risk. Our findings suggest that measures that prioritize social spending to protect the most vulnerable pregnant women during the pandemic contributed to better birth outcomes. FUNDING: No funding was secured for this study.

Differential Impacts of Multimorbidity on COVID-19 Severity across the Socioeconomic Ladder in Hong Kong: A Syndemic Perspective.

The severity of COVID-19 infections could be exacerbated by the epidemic of chronic diseases and underlying inequalities in social determinants of health. Nonetheless, there is scanty evidence in regions with a relatively well-controlled outbreak. This study examined the socioeconomic patterning of COVID-19 severity and its effect modification with multimorbidity in Hong Kong. 3074 local COVID-19 cases diagnosed from 5 July to 31 October 2020 were analyzed and followed up until 30 November 2020. Data on residential addresses, socio-demographic background, COVID-19 clinical conditions, and pre-existing chronic diseases of confirmed cases were retrieved from the Centre for Health Protection and the Hospital Authority. Results showed that, despite an independent adverse impact of multimorbidity on COVID-19 severity (aOR = 2.35 [95% CI = 1.72-3.19]), it varied across the socioeconomic ladder, with no significant risk among those living in the wealthiest areas (aOR = 0.80 [0.32-2.02]). Also, no significant association of the area-level income-poverty rate with severe COVID-19 was observed. In conclusion, the socioeconomic patterning of severe COVID-19 was mild in Hong Kong. Nonetheless, socioeconomic position interacted with multimorbidity to determine COVID-19 severity with a mitigated risk among the socioeconomically advantaged. Plausible explanations include the underlying socioeconomic inequalities in chronic disease management and the equity impact of the public-private dual-track healthcare system.

Impact of COVID-19 lockdown on NO2 and PM2.5 exposure inequalities in London, UK.

Amid the COVID-19 pandemic, a nationwide lockdown was imposed in the United Kingdom (UK) on March 23, 2020. These sudden control measures led to radical changes in human activities in the Greater London Area (GLA). During this lockdown, transportation use was significantly reduced and non-key workers were required to work from home. This study aims to understand how population exposure to PM2.5 and NO2 changed spatially and temporally across London, in different microenvironments, following the lockdown period relative to the previous three-year average in the same calendar period. Our research shows that population exposure to NO2 declined significantly (52.3% ± 6.1%), while population exposure to PM2.5 showed a smaller relative reduction (15.7% ± 4.1%). Changes in population activity had the strongest relative influence on exposure levels during morning rush hours, when prior to the lockdown a large percentage of people would normally commute or be at the workplace. In particular, a very high exposure decrease was observed for both pollutants (approximately 66% for NO2 and 19% for PM2.5) at 08:00am, consistent with the radical changes in population commuting. The infiltration of outdoor air pollution into housing modifies the degree of exposure change both temporally and spatially. Moreover, this study shows that the impacts on air pollution exposure vary across groups with different socioeconomic status (SES), with a disproportionate positive effect on the areas of the city home to more economically deprived communities.