Women, Work and the COVID-19 Pandemic: Paving the Path Forward

This paper focuses on the pandemic's impact on women's participation in the economy. The author outlines the various barriers to the full and equal participation of women in the Indian economy such as the gender division of labour which requires women to shoulder the burden of unpaid domestic work, the occupational segregation of the labour market, gender-blind development policies, regressive social norms and patriarchal attitudes. The challenge facing women only increased with the pandemic which led to large numbers of women dropping out of the workforce. The author suggests that in the immediate future the State has a crucial role in redressing this injustice. In the longer term, she calls for rethinking the dominant models of development that pursue economic growth and rise in GDP as the panacea for all problems. Such models have given rise to the rampant exploitation of labour, among whom women are the most vulnerable. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Tracking the Transit Divide: A Multilevel Modelling Approach of Urban Inequalities and Train Ridership Disparities in Chicago

Using a multilevel modelling approach, this study investigates the impact of urban inequalities on changes to rail ridership across Chicago's "L” stations during the pandemic, the mass vaccination rollout, and the full reopening of the city. Initially believed to have an equal impact, COVID-19 disproportionally impacted the ability of lower socioeconomic status (SES) neighbourhoods' to adhere to non-pharmaceutical interventions: working-from-home and social distancing. We find that "L” stations in predominately Black or African American and Hispanic or Latino neighbourhoods with high industrial land-use recorded the smallest behavioural change. The maintenance of higher public transport use at these stations is likely to have exacerbated existing health inequalities, worsening disparities in users' risk of exposure, infection rates, and mortality rates. This study also finds that the vaccination rollout and city reopening did not significantly increase the number of users at stations in higher vaccinated, higher private vehicle ownership neighbourhoods, even after a year into the pandemic. A better understanding of the spatial and socioeconomic determinants of changes in ridership behaviour is crucial for policymakers in adjusting service routes and frequencies that will sustain reliant neighbourhoods' access to essential services, and to encourage trips at stations which are the most impacted to revert the trend of declining public transport use.

Migrant Worker Dormitories: Virus in a Neoliberal Politics of Space

In neoliberal Singapore, capitalism thrives on the exploitation of low-waged migrant workers who are attracted to Singapore to earn a living building and cleaning the city and serving its residents. Their presence in this already crowded city provokes a dualistic public response that originates from a grudging acceptance of their indispensability: on the one hand, a refusal to allow them to fully integrate with Singapore society and be treated as equal human beings;and, on the other hand, a compassionate desire to help them when they are in need. The former tendency has had the effect of making migrant workers as invisible as possible, hence the profitable solution to house large numbers of them in dormitories located in the peripheral spaces of the island. Capitalism, profit maximization, and space optimization have created conditions and practices of exploitation that are, in normal times, cloaked in invisibility. The 2020 outbreak of COVID-19 in these dormitory spaces should not be surprising, unless they had been so well-hidden in the blind spots of public conscience and policy consciousness. The outbreaks also produced dualistic public reactions: moral panic and the stigmatization of infectious foreigners as dirty and dangerous folk devils, which demands further spatial segregation;and civic activism that steps up to the service of helping the vulnerable in their time of need. The solutions going forward will likely be technical rather than normative in nature, well within the segregating and exploitative logic of neoliberal globalization, with evermore-ingenious ways to extract value from migrant-worker labour, while making them and the heterotopia in which they exist as invisible and distant as possible. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.

The impact of ethnic segregation on neighbourhood-level social distancing in the United States amid the early outbreak of COVID-19.

The COVID-19 pandemic has been argued to be the 'great equaliser', but, in fact, ethnically and racially segregated communities are bearing a disproportionate burden from the disease. Although more people have been infected and died from the disease among these minority communities, still fewer people in these communities are complying with the suggested public health measures like social distancing. The factors contributing to these ramifications remain a long-lasting debate, in part due to the contested theories between ethnic stratification and ethnic community. To offer empirical evidence to this theoretical debate, we tracked public social-distancing behaviours from mobile phone devices across urban census tracts in the United States and employed a difference-in-difference model to examine the impact of racial/ethnic segregation on these behaviours. Specifically, we focussed on non-Hispanic Black and Hispanic communities at the neighbourhood level from three principal dimensions of ethnic segregation, namely, evenness, exposure, and concentration. Our results suggest that (1) the high ethnic diversity index can decrease social-distancing behaviours and (2) the high dissimilarity between ethnic minorities and non-Hispanic Whites can increase social-distancing behavior; (3) the high interaction index can decrease social-distancing behaviours; and (4) the high concentration of ethnic minorities can increase travel distance and non-home time but decrease work behaviours. The findings of this study shed new light on public health behaviours among minority communities and offer empirical knowledge for policymakers to better inform just and evidence-based public health orders.

Stigma and health inequality experienced by ethnic minorities during the COVID-19 pandemic in a Chinese community: an implication to health policymakers.

Introduction: Ethnic minorities are considered one of the most vulnerable groups during the COVID-19 pandemic. However, the explanatory pathway of how their disadvantaged experiences during epidemics are related to the embedded and longstanding stigmas against them and how these embedded stigmas can affect their resilience in disease outbreaks are not well understood. This study investigated the experiences of ethnic minorities in the COVID-19 pandemic, and how their experiences were related to the embedded stigma toward them. Methods: This study adopted a qualitative approach, interviewed 25 individuals (13 women and 12 men) from ethnic minority groups residing in Hong Kong from August 2021 to February 2022 in a semi-structured format. Thematic analysis was conducted to analyze the data. Results: The participants were isolated and stereotyped as infectious during the COVID-19 pandemic at community and institutional levels. Their experiences did not occur suddenly during the pandemic but were embedded in the longstanding segregation and negative stereotypes toward ethnic minorities in different aspects of life before the pandemic. These negative stereotypes affected their resilience in living and coping with the pandemic. Conclusion: The participants' experiences during the COVID-19 pandemic were mostly disadvantageous and predominantly initiated by the mainstream stigmatization toward them by the local Chinese residents and government. Their disadvantaged experiences in the pandemic should be traced to the embedded social systems, imposing structural disparities for ethnic minorities when accessing social and medical resources during a pandemic. Because of the preexisting stigmatization and social seclusion of ethnic minorities in Hong Kong, the participants experienced health inequality, which stemmed from social inequality and the power differential between them and the Chinese locals. The disadvantaged situation of the participants negatively affected their resilience to the pandemic. To enable ethnic minorities better cope with future epidemics, merely providing assistance to them during an epidemic is barely adequate, but a more supportive and inclusive social system should be established for them in the long run.

New urban habits in Stockholm following COVID-19.

During the COVID-19 pandemic, physical distancing, mobility restrictions and self-isolation measures were implemented around the world as the primary intervention to prevent the virus from spreading. Urban life has undergone sweeping changes, with people using spaces in new ways. Stockholm is a particularly relevant case of this phenomenon since most facilities, such as day care centres and schools, have remained open, in contrast to cities with a broader lockdown. In this study, we use Twitter data and an online map survey to study how COVID-19 restrictions have impacted the use of different locations, services and amenities in Stockholm. First, we compare the spatial distribution of 87,000 geolocated tweets pre-COVID-19 and during the COVID-19 pandemic. Second, we analyse 895 survey responses asking people to identify places they 'still visit', 'use more', 'avoid' and self-report reasons for using locations. The survey provides a nuanced understanding of whether and how restrictions have affected people. Service and seclusion were found to be important; therefore, the accessibility of such amenities was analysed, demonstrating how changes in urban habits are related to conditions of the local environment. We find how different parts of the city show different capacities to accommodate new habits and mitigate the effects of restrictions on people's use of urban spaces. In addition to the immediate relevance to COVID-19, this paper thus contributes to understanding how restrictions on movement and gathering, in any situation, expose more profound urban challenges related to segregation and social inequality.

Exploring the Gender Gap in Teleworking from Home. The Roles of Worker's Characteristics, Occupational Positions and Gender Equality in Europe.

Previous research suggests an under-representation of women among teleworkers before the Covid-19 pandemic. However, we know little about whether such a gender gap was substantial, and whether it could be explained by occupational gender segregation. We explore whether a gender gap in regularly teleworking existed in the EU-28 and analyse its possible constituents, drawing on data from the European Working Conditions Survey 2015. To form a group of potential teleworkers, the analytical sample was restricted to employees who made use of information and communication technology (N ≈ 16,000). Country fixed effects regression and multilevel models were applied. The results show that women were under-represented among teleworkers compared to men, also when occupational gender segregation is taken into account; the remaining gender gap in telework is estimated at 10%. For women, working part-time and working in the private sector was associated with lower incidences of telework, but not for men. Country characteristics explain a small but significant share of telework incidence. In countries that rank high on the Gender Equality Index and have a large public sector, telework was widespread, whereas it was less present in countries with higher shares of women in the fields of science and engineering. The findings support the view that the gender gap in teleworking from home is a matter of historically grown gender inequality. Supplementary Information: The online version contains supplementary material available at 10.1007/s11205-023-03133-6.

Selected Factors Affecting the Amount of Municipal Waste at Different Administrative Levels in Poland

The amount of generated municipal waste depends not only on the population but also on consumption patterns and economic welfare. The aim of this paper was to present the structure of generated waste over the years in the European Union, Poland, in Subcarpathian Voivodeship, and in Rzeszow. It has been assumed that the SARS-CoV-2 pandemic, the political action of the government, and the higher standard of living of the society are the factors influencing the increase in the amount of waste generated by households and waste segregation. The paper analyses the waste management system using the official data collected and published by Statistics Poland – the Local Data Bank (LBD) and Eurostat. The amount of municipal waste and waste collected selectively from households was probably affected to the greatest extent by local regulations. According to the data presented, a sharp increase in the amount of municipal waste, including bulk waste and bio-waste, was observed in 2013 and 2014, which may be related to the amendment in 2013 applicable in Poland of the Act on maintaining order and cleanliness in communes. Unfortunately in the Eurostat database, no accurate data on selectively collected municipal waste is available, and in LBD this data is available for different time spans depending on the administrative level. This makes it difficult to draw unequivocal conclusions on the amount of generated waste and forecast changes. © 2023, Journal of Ecological Engineering. All Rights Reserved.

Residential Segregation as a Barrier to Covid-19 Booster Coverage in Deep South

Background: Coronavirus disease 2019 (COVID-19) had been a stronger hit in Deep South compared with other developed regions in the United States, and vaccination remains a top priority for all eligible individuals. However, there are limited data regarding the progress of booster coverage in the Deep South and how the coverage varies by county and age group, which is of critical importance for future vaccine planning. Racial/ethnic disparities were found in the COVID-19 vaccination, but the vast majority of evidence was generated from studies at the individual level. There is an urgent need for evidence at the population level to reveal and evaluate the booster coverage in racial/ethnic minority communities, which could identify vulnerable communities and inform future healthcare policymaking and resource allocation. We evaluated county-level COVID-19 booster coverage by age group in the Deep South and examined its relationship with residential segregation. Method(s): We conducted an ecological study at the population level by integrating COVID-19 vaccine surveillance data, residential segregation index, and county-level factors across the 418 counties of five Deep South states from December 15, 2021 to October 19, 2022. We analyzed the cumulative percentages of county-level COVID-19 booster coverage by age group (e.g., 12 to 17 years old, 18 to 64 years old, and at least 65 years old) by the end of the study period. We examined the longitudinal relationships between residential segregation, interaction of time and residential segregation, and COVID-19 booster coverage using the Poisson mixed model. Result(s): As of October 19, 2022, among the 418 counties, the median percentage of booster coverage was 40% (interquartile range [IQR]: 37.8-43.0%). Compared with elders, youth and adults had lower percentages of booster uptake. There was geospatial heterogeneity in the COVID-19 booster coverage. Results of the Poisson mixed model found that as time increased, higher segregated counties had lower percentages of booster coverage. Such relationships were consistent across the age groups. Conclusion(s): The progress of county-level COVID-19 booster coverage in the Deep South was slow and varied by age group. Residential segregation precluded the county-level COVID-19 booster coverage across age groups. Future efforts regarding vaccine planning should focus on youth and adults. Healthcare facilities and resources are needed in racial/ethnic minority communities. Residential segregation and COVID-19 booster coverage by age group in the 418 counties across the five Deep South states from December 15, 2021 to October 19, 2022.

Privates: Theorizing Private Space in Trans Care

By "space," I mean a physical or digital, real or imagined, virtual and material environment in which social relations—individual or collective—can take place. Private property in the form of the home and land ownership—also a core element of American capitalist colonialist dream—continued to define legal claims to land that furthered policing, racial segregation, cisheteropatriarchal marriage, and other state violence. [...]community publics presume designers can produce environmentally-determined "community," Third, liberal publics are accessible to all—in a fictional world where everyone is equal. Relatedly, when nineteenth century, WASP, upper-class policies, laws, and norms deemed sex a private matter, gay men were forced to create their own counterpublics for their sexual rendezvous.

Segregated mobility patterns amplify neighborhood disparities in the spread of COVID-19

The global and uneven spread of COVID-19, mirrored at the local scale, reveals stark differences along racial and ethnic lines. We respond to the pressing need to understand these divergent outcomes via neighborhood level analysis of mobility and case count information. Using data from Chicago over 2020, we leverage a metapopulation Susceptible-Exposed-Infectious-Removed model to reconstruct and simulate the spread of SARS-CoV-2 at the ZIP Code level. We demonstrate that exposures are mostly contained within one's own ZIP Code and demographic group. Building on this observation, we illustrate that we can understand epidemic progression using a composite metric combining the volume of mobility and the risk that each trip represents, while separately these factors fail to explain the observed heterogeneity in neighborhood level outcomes. Having established this result, we next uncover how group level differences in these factors give rise to disparities in case rates along racial and ethnic lines. Following this, we ask what-if questions to quantify how segregation impacts COVID-19 case rates via altering mobility patterns. We find that segregation in the mobility network has contributed to inequality in case rates across demographic groups.

Racial Disparities in Mortality During the 1918 Influenza Pandemic in United States Cities.

Against a backdrop of extreme racial health inequality, the 1918 influenza pandemic resulted in a striking reduction of non-White to White influenza and pneumonia mortality disparities in United States cities. We provide the most complete account to date of these reduced racial disparities, showing that they were unexpectedly uniform across cities. Linking data from multiple sources, we then examine potential explanations for this finding, including city-level sociodemographic factors such as segregation, implementation of nonpharmaceutical interventions, racial differences in exposure to the milder spring 1918 "herald wave," and racial differences in early-life influenza exposures, resulting in differential immunological vulnerability to the 1918 flu. While we find little evidence for the first three explanations, we offer suggestive evidence that racial variation in childhood exposure to the 1889-1892 influenza pandemic may have shrunk racial disparities in 1918. We also highlight the possibility that differential behavioral responses to the herald wave may have protected non-White urban populations. By providing a comprehensive description and examination of racial inequality in mortality during the 1918 pandemic, we offer a framework for understanding disparities in infectious disease mortality that considers interactions between the natural histories of particular microbial agents and the social histories of those they infect.

Health of Roma People living in marginalized Communities in Slovakia

Inadequate nutrition as a result of poverty and poor real access to health care due to a lack of financial resources for travel to the doctor or medicines contribute to the unsatisfactory state of health in Roma communities. According to a Dinge study (Dinge 2003), there is a relatively large genetic load in some Roma communities, which is related to a high incidence of congenital (born) diseases. According to the general statistics of the Slovak Republic for the year 2021, there were 2.9 million people who were unable to work due to inhabitants, while in 2012 it was 2.3 million, people, while the average morbidity rate rose to 4.3% of the total population. Roma people have worse health status;higher infant mortality rates;shorter (10-15 years) life expectancy;higher prevalence of chronic diseases than the non-Roma (Sedlakova, 2014).

Preparation of Two Participatory Social Housing Interventions in a Marginalised Roma Community in Romania

The first desegregation efforts in the marginalised and segregated communities in the Pata-Rât area were carried out within the frames of two social housing projects (between 2014–2017 and 2020–2023). Although a housing first methodology would have been more adequate in the context of a marginalised community, given the shortcomings of the Romanian social assistance system, implementation was impossible. In this context, it was necessary to develop a system to access social housing but also to create a reasonably ‘fair process' at the community level. Thus, in both interventions, the starting point for developing the social housing criteria was to survey the community in order to explore the community members' preferences regarding the criteria to be considered in the selection of the beneficiary families for the social houses. The surveys covered all the inhabitants of the Pata-Rât area, that is 219 households in the first survey and 282 households in the second. The survey results served as the basis for the development of the criteria for accessing social housing. In this article, we present and discuss the results of the community surveys from 2016 and from 2020, the year of the pandemic outbreak. Differences were found in the prioritisation of criteria, with an increasing preference for those reflecting vulnerability/needs (e.g., number of children, years spent in the community, disability) and decreasing preference for the ones indicating family resources (e.g., employment, income, education). These differences reflect the increase in poverty and loss of resources occurring in the community during this period, due both to the COVID-19 pandemic, and to the relocation of the 35 better-off families in the first Pata-Cluj project.

Vulnerability to COVID-19: Cluster analysis of census tracts in Malaga, Spain

The United Nations 2030 Agenda recognized the importance of focusing on cities to achieve sustainable development goals. The COVID-19 pandemic reaffirmed the need to consider spatial variables when analyzing the impact of a risk or epidemic. Many studies have assessed the impact of this pandemic on countries and its connection with numerous population-related factors, such as vulnerability and resilience. However, there have been less spatial analyses at an urban and neighborhood scale, also considering time as a variable. In spite that, some researchers have recently shown how the patterns of the pandemic evolution is changing in time. We performed a case study in Malaga (Spain) using a tempo-spatial analysis with the purpose of going as deep as possible into the micro-scale of the pandemic impacts, without leaving anyone behind. The micro-level research using composite indexes and cluster analysis clarify the living conditions of people. The results show some patterns of the spatial segregation in the neighborhoods that could better oriented integrated policies and good governance in the recovery process. [ FROM AUTHOR] Copyright of Journal of Urban Affairs is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Pandemic distress associated with segregation and social stressors.

Background: Racial/ethnic minorities are disproportionately impacted by the COVID-19 pandemic, as they are more likely to experience structural and interpersonal racial discrimination, and thus social marginalization. Based on this, we tested for associations between pandemic distress outcomes and four exposures: racial segregation, coronavirus-related racial bias, social status, and social support. Methods: Data were collected as part of a larger longitudinal national study on mental health during the pandemic (n = 1,309). We tested if county-level segregation and individual-level social status, social support, and coronavirus racial bias were associated with pandemic distress using cumulative ordinal regression models, both unadjusted and adjusted for covariates (gender, age, education, and income). Results: Both the segregation index (PR = 1.19; 95% CI 1.03, 1.36) and the coronavirus racial bias scale (PR = 1.17; 95% CI 1.06, 1.29) were significantly associated with pandemic distress. Estimates were similar, after adjusting for covariates, for both segregation (aPR = 1.15; 95% CI 1.01, 1.31) and coronavirus racial bias (PR = 1.12; 95% CI 1.02, 1.24). Higher social status (aPR = 0.74; 95% CI 0.64, 0.86) and social support (aPR = 0.81; 95% CI 0.73, 0.90) were associated with lower pandemic distress after adjustment. Conclusion: Segregation and coronavirus racial bias are relevant pandemic stressors, and thus have implications for minority health. Future research exploring potential mechanisms of this relationship, including specific forms of racial discrimination related to pandemic distress and implications for social justice efforts, are recommended.

Black women in white academe: a qualitative analysis of heightened inclusion tax

This article explores how existing issues of systemic racism in academia were heightened for Black women faculty during COVID-19 which coincided with high-profile killings of Black people in 2020. Several theories of cultural taxation have created space to discuss the nuanced experiences of marginalized groups in white spaces. In reflecting on academia, this article highlights "the inclusion tax” – the various labours exerted to be included in white spaces and resist and/or adhere to white social norms. While the 2020 pandemics reveal the deeply entrenched nature of systemic racism, they did not create the inequities Black women faced but worsened and exposed them. Using data from an exploratory, online open-ended survey of sixteen (n = 16) Black women faculty, we demonstrate how the inclusion tax heightened during that time. We argue that the inclusion tax negatively impacts Black women, adding significant invisible labour that further perpetuates racial and gender inequality.

Where do people meet? Time-series clustering for social interaction levels in daily-life spaces during the COVID-19 pandemic

The persistence of spatial segregation with respect to income and race is well documented. However, assessment of spatial segregation in daily activities is challenging due to the limited availability of human movement data. With the ubiquitous availability of mobile phones and location-based service applications, human movement data has become widely available. It is now possible to explore spatial interactions and assess the extent of social segregation in daily activity spaces. Using Los Angeles County as our case study, we perform a temporal analysis by conducting K-means time-series clustering using mobile phone data to examine social interaction levels among various sociodemographic groups during the COVID-19 pandemic. Selected sociodemographic variables are assessed among the identified time-series clusters. We find a strong association between sociodemographic characteristics and social interaction levels, potentially leading to disparate exposures to the risk from COVID-19. Socially disadvantaged populations tend to be more segregated from other groups in daily activities, and the COVID-19 pandemic increases the disparity. Low-income and ethnic minority populations became more isolated from Whites and the more economically affluent during the COVID-19 pandemic. Policies that aim to encourage social interactions and mitigate segregation effectively should further consider people's sociodemographic variables and relevant neighborhood characteristics. © 2023 Elsevier Ltd

COVID-19, the New Urban Crisis, and Cities: How COVID-19 Compounds the Influence of Economic Segregation and Inequality on Metropolitan Economic Performance

This paper examines the connection between measures of a U.S. metropolitan area's new urban crisis (i.e., unaffordable housing, economic inequality, and residential segregation) and its year-over-year employment change in the period immediately before and during the COVID-19 pandemic. Results show that measures of the new urban crisis did not generally have a statistically significant association with year-over-year employment change between January and September of 2020, which captures the period before COVID-19 and the beginning of the pandemic (e.g., shutdown). The severity of a region's economic segregation and inequality, however, are associated with higher rates of employment decline in the early recovery months of October to December of 2020. These findings suggest that places that rate worse for indicators of the new urban crisis were less able to recover from the negative economic shocks related to COVID-19. © The Author(s) 2023.