Caries prevalence among children at public and private primary schools in Riyadh: a retrospective study.

Dental caries is a global oral health issue, especially critical in children, affecting their growth, nutrition, and education due to school absences or distractions from dental pain. The aim of the study was to investigate the correlation between school types (indicative of socioeconomic conditions) and dental caries prevalence among primary school children in Riyadh, alongside assessing the overall caries prevalence among schoolchildren in Riyadh. Retrospective study on 28,343 first and fourth-grade students from 960 public and private schools in Riyadh, using data from the Saudi Ministry of Health (Feb-April 2019). Utilized the DMFT/dmft index for assessment and collected demographic data. Most of the schools were public (76.1%), private national (17.1%), and private international (6.8%). Overall, the mean DMFT index for permanent teeth and the dmft index for primary teeth were 1.78 and 1.94, respectively. 58% of school children had no dental caries, 25% had mild caries, and 17% had moderate to severe caries. Public school children showed a higher caries prevalence than private schools. Oral disease rates were higher in girls than in boys, and grade four students had a higher prevalence than grade one students. Saudi Arabia, a developing nation, faces challenges in addressing oral health, especially in public schools. Targeted initiatives are crucial for awareness, preventive measures, and meeting oral health needs.

Built Environment, Natural Environment, and Mental Health.

Mental health disorders have become a global problem, garnering considerable attention. However, the root causes of deteriorating mental health remain poorly understood, with existing literature predominantly concentrating on socioeconomic conditions and psychological factors. This study uses multi-linear and geographically weighted regressions (GWR) to examine the associations between built and natural environmental attributes and the prevalence of depression in US counties. The findings reveal that job sprawl and land mixed use are highly correlated with a lower risk of depression. Additionally, the presence of green spaces, especially in urban area, is associated with improved mental health. Conversely, higher concentrations of air pollutants, such as PM2.5 and CO, along with increased precipitation, are linked to elevated depression rates. When considering spatial correlation through GWR, the impact of population density and social capital on mental health displays substantial spatial heterogeneity. Further analysis, focused on two high depression risk clustering regions (northwestern and southeastern counties), reveals nuanced determinants. In northwestern counties, depression rates are more influenced by factors like precipitation and socioeconomic conditions, including unemployment and income segregation. In southeastern counties, population demographic characteristics, particularly racial composition, are associated with high depression prevalence, followed by built environment factors. Interestingly, job growth and crime rates only emerge as significant factors in the context of high depression risks in southeastern counties. This study underscores the robust linkages and spatial variations between built and natural environments and mental health, emphasizing the need for effective depression treatment to incorporate these multifaceted factors.

A systematic review on the relationship between socioeconomic conditions and emotional disorder symptoms during Covid-19: unearthing the potential role of economic concerns and financial strain.

BACKGROUND: Covid-19 has disrupted the lives of many and resulted in high prevalence rates of mental disorders. Despite a vast amount of research into the social determinants of mental health during Covid-19, little is known about whether the results are consistent with the social gradient in mental health. Here we report a systematic review of studies that investigated how socioeconomic condition (SEC)-a multifaceted construct that measures a person's socioeconomic standing in society, using indicators such as education and income, predicts emotional health (depression and anxiety) risk during the pandemic. Furthermore, we examined which classes of SEC indicators would best predict symptoms of emotional disorders. METHODS: Following PRISMA guidelines, we conducted search over six databases, including Scopus, PubMed, etc., between November 4, 2021 and November 11, 2021 for studies that investigated how SEC indicators predict emotional health risks during Covid-19, after obtaining approval from PROSPERO (ID: CRD42021288508). Using Covidence as the platform, 362 articles (324 cross-sectional/repeated cross-sectional and 38 longitudinal) were included in this review according to the eligibility criteria. We categorized SEC indicators into 'actual versus perceived' and 'static versus fluid' classes to explore their differential effects on emotional health. RESULTS: Out of the 1479 SEC indicators used in these 362 studies, our results showed that 43.68% of the SEC indicators showed 'expected' results (i.e., higher SEC predicting better emotional health outcomes); 51.86% reported non-significant results and 4.46% reported the reverse. Economic concerns (67.16% expected results) and financial strains (64.16%) emerged as the best predictors while education (26.85%) and living conditions (30.14%) were the worst. CONCLUSIONS: This review summarizes how different SEC indicators influenced emotional health risks across 98 countries, with a total of 5,677,007 participants, ranging from high to low-income countries. Our findings showed that not all SEC indicators were strongly predictive of emotional health risks. In fact, over half of the SEC indicators studied showed a null effect. We found that perceived and fluid SEC indicators, particularly economic concerns and financial strain could best predict depressive and anxiety symptoms. These findings have implications for policymakers to further understand how different SEC classes affect mental health during a pandemic in order to tackle associated social issues effectively.

Social and economic determinants of drug overdose deaths: a systematic review of spatial relationships.

PURPOSE: To synthesize the available evidence on the extent to which area-level socioeconomic conditions are associated with drug overdose deaths in the United States. METHODS: We performed a systematic review (in MEDLINE, EMBASE, PsychINFO, Web of Science, EconLit) for papers published prior to July 2022. Eligible studies quantitatively estimated the association between an area-level measure of socioeconomic conditions and drug overdose deaths in the US, and were published in English. We assessed study quality using the Effective Public Health Practice Project Quality Assessment Tool. The protocol was preregistered at Prospero (CRD42019121317). RESULTS: We identified 28 studies that estimated area-level effects of socioeconomic conditions on drug overdose deaths in the US. Studies were scored as having moderate to serious risk of bias attributed to both confounding and in analysis. Socioeconomic conditions and drug overdose death rates were moderately associated, and this was a consistent finding across a large number of measures and differences in study designs (e.g., cross-sectional versus longitudinal), years of data analyzed, and primary unit of analysis (e.g., ZIP code, county, state). CONCLUSIONS: This review highlights the evidence for area-level socioeconomic conditions are an important factor underlying the geospatial distribution of drug overdose deaths in the US and the need to understand the mechanisms underlying these associations to inform future policy recommendations. The current evidence base suggests that, at least in the United States, employment, income, and poverty interventions may be effective targets for preventing drug overdose mortality rates.

Comparing the spreading characteristics of monkeypox (MPX) and COVID-19: Insights from a quantitative model.

Climate change is acknowledged to directly affect not only the environment, economy, and society but also the transmission dynamics of infectious diseases, thereby impacting public health. The recent experiences with the spread of SARS-CoV-2 and Monkeypox have highlighted the complex and interconnected nature of infectious diseases, which are strongly linked to various determinants of health. Considering these challenges, adopting a new vision such as the trans-disciplinary approach appears to be imperative. This paper proposes a new theory about viruses' spread, based on a biological model, accounting for the optimisation of energy and material resources for organisms' survival and reproduction in the environment. The approach applies Kleiber's law scaling theory, originally developed in biology, to model community dynamics in cities. A simple equation can be used to model pathogen spread without accounting for each species' physiology by leveraging the superlinear scaling of variables with population size. This general theory offers several advantages, including the ability to explain the rapid and surprising spread of both SARS-CoV-2 and Monkeypox. The proposed model shows similarities in the spreading processes of both viruses, based on the resulting scaling factors, and opens new avenues for research. By fostering cooperation and integrating knowledge from different disciplines to effectively tackle the multifaceted dimensions of disease outbreaks, we can work towards preventing future health emergencies.

Linking forest ecosystem processes, functions and services under integrative social-ecological research agenda: current knowledge and perspectives.

The integrity of forest ecosystems is essential to human well-being, but people's activities are causing rapid changes in forest ecosystems and environmental conditions. Forest ecosystem processes, functions and services are dissimilar concepts in biology and ecology, but they are not naturally disconnected and cannot be disconnected from people's interactions in the concepts of interdisciplinary environmental sciences. This review aims to explore how people's socioeconomic conditions and activities impact forest ecosystem processes, functions and services, and ultimately, human well-being. While there has been an increase in studies on linking forest ecosystem processes and functions in the last two decades, few have explicitly considered their links to people's activities and forest ecosystem services. The current literature on the impacts of people's activities on forest ecosystem conditions (i.e., forest area and species richness) has mostly focused on deforestation and environmental degradation. To better understand the social-ecological consequences on forest ecosystem conditions, it is essential to examine the direct and indirect impacts of people's socioeconomic conditions and activities on forest ecosystem processes, functions, services and stability which should be based on more informative social-ecological indicators. In doing so, I outline the current research knowledge, challenges, limitations and future research directions with conceptual models for linking forest ecosystem processes, functions and services with people's activities and socioeconomic conditions under integrative social-ecological research agenda. This updated social-ecological knowledge would aim to better guide policymakers and forest managers on how to manage and restore forest ecosystems sustainably to meet the needs of current and future generations.

The impact of the human development index on stomach cancer incidence in Brazil.

Background: The incidence of stomach cancer (SC) is declining in most countries in the world, potentially associated with increases in the human development index (HDI). This study was conducted to characterise the incidence and trends of SC in the Brazilian population and its correlations with HDI components: longevity, education and income. Methods: Data on incidence of SC from Population-based cancer registries (PBCR) in Brazil during the period 1988-2017 were extracted from the Instituto Nacional de Câncer. Incidence rates were estimated for each PBCR in the same calendar period. Trends were analysed using the Joinpoint Regression Program, and correlations with HDI components (longevity, education and income) were examined using the Pearson test. Results: SC incidence rates in Brazil ranged from 22 to 89/100,000 among men and from 8 to 44/100,000 among women. The highest incidence rates for men and women occurred in northern Brazil. The SC incidence is stable in most of the capitals of the northern and northeast parts of the country, with reductions for both sexes in the South, Southeastern and Midwest. There was an inverse correlation of SC incidence rates for women with the components of HDI education (p = 0.038) and longevity (p = 0.012). For men, the inverse correlation occurred for the longevity HDI (p = 0.013). Conclusion: The improvement of HDIs in Brazil during the study period may have contributed to the stability of SC incidence but was not sufficient to reduce the overall SC incidence in the whole country. To better understand SC incidence in Brazil, efforts should be made towards ensuring that incidence data is recorded by PBCRs promptly.

Formulating sustainable development policies for China within the framework of socioeconomic conditions and government stability.

Improvement in the environmental quality has been seen as a major concern worldwide, and a crucial agenda of the Sustainable Development Goals (SDG's). In this study, we examined the causal impacts of economic growth, financial development, nuclear energy, government stability, and socioeconomic conditions on the environmental quality of China, using quarterly data, covering the period 1984-2018. We used different proxies for environmental quality, i.e., Carbon dioxide (CO2) emissions, ecological footprints, and load capacity factor, and a unique methodology named Fourier quantile causality, recently recommended by Cheng et al. (2021), for the first time in case of China. We find that nuclear energy, and government stability are positively causing the environmental quality, while economic growth, financial development, and socioeconomic conditions are degrading the environmental quality in China, since they are linked with increased income and energy consumption. Furthermore, all the explanatory variables are largely sensitive on different quantiles to affect the environmental quality; however, economic growth is a highly causing environmental degradation. Our study suggests that increasing nuclear energy consumption along with green financial measures that simultaneously support economic growth and socioeconomic conditions can be effective tools for improving environmental quality and realizing the SDGs in China.

Environmental impact assessment of tobacco farming in northern Bangladesh.

Tobacco farming in Bangladesh has significant and far-reaching environmental impacts, affecting the land, water, and air. While the country has implemented tobacco control measures, the lack of monitoring and enforcement has resulted in environmental degradation and public health concerns. This study aims to document the environmental impact of tobacco farming in Bangladesh, adopting a qualitative approach to collect and analyze data. The study used focus group discussions, key informant interviews, and a structured questionnaire survey to gather data, assessing the impact of tobacco farming on the environment, socioeconomic conditions, and human health using a five-point impact assessment scale. Results illustrated that tobacco cultivation contributes to the ecosystem and natural resource degradation, leading to a loss of habitat diversity and domestic animal death. Soil erosion, water pollution, and air pollution from excessive plowing and pesticide usage have also been observed, causing skin diseases and other health issues. Despite some economic benefits, social conditions have worsened due to drug addiction and conflicts among tobacco workers. The study will help policymakers and environmentalists by highlighting the need to take action in reducing the environmental and social impacts of tobacco farming in Bangladesh. It also informs the public about the potential tobacco production and consumption risks. This study provides important insights into the adverse effects of tobacco farming in Bangladesh and emphasizes the importance of implementing appropriate measures to reduce environmental and public health impacts.

Women's choices of hospital for breast cancer surgery in Italy: Quality and equity implications.

This paper employs mixed logit regression to investigate the effects of providers characteristics on women's choice of hospital for breast surgery. Patient level data are used to model choices in Tuscany region, Italy. In particular, we focus on the effects of travel time and hospital quality indicators including quality standard (volumes of breast surgery), measurement of process (waiting times) and quality of surgical procedures. Variation in preferences related to individual characteristics such as age, education and travel distance from the hospital are also considered. Findings show that, on average, women prefer closer hospital with longer waiting times and higher quality (high volumes of interventions). We found preference heterogeneity associated to education: travel distance affects choice especially among less educated women (regardless of age), while among younger women (<65 years), less educated ones prefer shorter waiting times. These results could be used to optimize the allocation of resources toward breast cancer units that meet quality and efficacy standards to increase the efficiency and responsiveness of breast cancer care.

Relationship between quality of life and sociodemographic, clinical and lifestyle characteristics of patients undergoing hemodialysis

Introduction: In chronic diseases, QoL depends on several factors such as the type and duration of the disease, its treatment and side effects, the severity of symptoms, medication effects, patient age, limitations and self-care capacity. In chronic kidney disease it has also become a measure of health outcome.Objective: assess the association between QoL and socioeconomic, lifestyle and clinical factors of patients on HD.Methods: This is a cross-sectional epidemiological census, carried out among 1,024 patients on hemodialysis from all hemodialysis units at the metropolitan region in the Espirito Santo's, Brazil . Sociodemographic, lifestyle and clinical characteristics data were used. QoL was assessed using the Short-Form health Survey-36 (SF-36). Data were analysed by multiple linear regression.Results: The best QoL was represented by mental health (72.16) and the worst QoL by the physical aspect (26.78). After multiple linear regression, predictors of QoL were identified, with emphasis on males, a predictor of better QoL for 5 of the 8 domains and the summaries of the physical and mental components. Education, associated with 5 domains, gives greater reference to income. Physical activity was a predictor of 7 of the 8 QoL domains and the summary of the physical component. Among the clinical variables, the number of complications is associated with 7 of the 8 domains and summaries of the physical and mental components.Conclusion: Male sex is highlighted as a predictor of better physical and mental health and elderly people with better mental health, despite the impairment in physical health. The absence of physical activity is associated with worse physical and mental health. Clinically, having 3 or more intradialytic complications was associated with worse physical and mental QoL

Disentangling the multigenerational transmissions of socioeconomic disadvantages and mental health problems by gender and across lineages: Findings from the Stockholm Birth Cohort Multigenerational Study.

There is a paucity of research examining the patterning of socioeconomic disadvantages and mental health problems across multiple generations. The current study therefore aimed to investigate the interconnected transmissions of socioeconomic disadvantages and mental health problems from grandparents to grandchildren through the parents, as well as the extent to which these transmissions differ according to lineage (i.e., through matrilineal/patrilineal descent) and grandchild gender. Drawing on the Stockholm Birth Cohort Multigenerational Study, the sample included 21,416 unique lineages by grandchild gender centered around cohort members born in 1953 (parental generation) as well as their children (grandchild generation) and their parents (grandparental generation). Based on local and national register data, socioeconomic disadvantages were operationalized as low income, and mental health problems as psychiatric disorders. A series of path models based on structural equation modelling were applied to estimate the associations between low income and psychiatric disorders across generations and for each lineage-gender combination. We found a multigenerational transmission of low income through the patriline to grandchildren. Psychiatric disorders were transmitted through both the patriline and matriline, but only to grandsons. The patriline-grandson transmission of psychiatric disorder partially operated via low income of the fathers. Furthermore, grandparents' psychiatric disorders influenced their children's and grandchildren's income. We conclude that there is evidence of transmissions of socioeconomic disadvantages and mental health problems across three generations, although these transmissions differ by lineage and grandchild gender. Our findings further highlight that grandparents' mental health problems could cast a long shadow on their children's and grandchildren's socioeconomic outcomes, and that socioeconomic disadvantages in the intermediate generation may play an important role for the multigenerational transmission of mental health problems.

Prescription opioids and economic hardship in France.

This paper studies how opioid analgesic sales are empirically related to socioeconomic disparities in France, with a focus on poverty. This analysis is made possible using the OpenHealth database, which provides retail sales data for opioid analgesics available on the French market. We exploit firm-level data for each of the 94 departments in Metropolitan France between 2008 and 2017. We show that increases in the poverty rate are associated with increases in sales: a one percentage point increase in poverty is associated with approximately a 5% increase in mild opioid sales. Our analysis further shows that opioid sales are positively related to the share of middle-aged people and individuals with basic education only, while they are negatively related to population density. The granularity and longitudinal nature of these data allow us to control for a large pool of potential confounding factors. Our results suggest that additional interventions should be more intensively addressed toward the most deprived areas. We conclude that a combination of policies aimed at improving economic prospects and strictly monitoring access to opioid medications would be beneficial for reducing opioid-related harm.

Relationship Between Socioeconomic Conditions and Financial Fraud Victimization Among Older Adults in China: Do Financial Literacy and Financial Attitudes Matter?

Using data from the 2015 wave of the China Household Finance Survey (N ≈ 12,100), this study used structural equation modeling to examine the relationship between socioeconomic conditions (i.e., educational attainments, hukou status, and household financial assets per capita) and financial fraud victimization among Chinese older adults and the mediating roles of financial literacy and financial attitudes (i.e., interest in financial matters and risk tolerance). We found that although neither educational attainment nor hukou status was directly related to financial fraud victimization, household financial assets per capita was postively associated with the risk of financial fraud victimization. In addition, higher educational attainment, urban hukou, and more financial assets per capita were associated with more risk of financial fraud victimization through higher levels of financial literacy and higher interest in financial matters. Implications for preventing and protecting Chinese older adults from financial fraud victimization are discussed.

Impact of Changing Socioeconomic Conditions on Family Caregiving Norms: Evidence from Japan.

Eldercare is a major public health concern in many East Asian countries, including Japan, because of the ever-growing elderly population, and significant changes in family caregiving norms. The changes are due to global diffusion and the influence of socioeconomic and demographic shifts. Consequently, perceptions of the norm of family caregiving need investigation. We examined how demographic and socioeconomic factors influence the perception of family caregiving norms in Japan, using data from Osaka University's preference parameter study. According to the results of the probit regression, age, education, full-time employment, marital status, the number of sons and daughters, interactions between females and age and females and full-time employment, and parents' education are negatively related to the participants' perceptions of family caregiving norms. Our results suggest that people traditionally perceived as caregivers are less likely to have a positive attitude towards family caregiving, despite the government's efforts through Universal Long-Term Care Insurance, implemented in 2000. Therefore, authorities must reassess the role of families, explore alternative forms of community-based care, and provide more assistance to caregivers.

Effects of Environmental and Socioeconomic Inequalities on Health Outcomes: A Multi-Region Time-Series Study.

The gradual increase in temperatures and changes in relative humidity, added to the aging and socioeconomic conditions of the population, may represent problems for public health, given that future projections predict even more noticeable changes in the climate and the age pyramid, which require analyses at an appropriate spatial scale. To our knowledge, an analysis of the synergic effects of several climatic and socioeconomic conditions on hospital admissions and deaths by cardiorespiratory and mental disorders has not yet been performed in Brazil. Statistical analyses were performed using public time series (1996-2015) of daily health and meteorological data from 16 metropolitan regions (in a subtropical climate zone in South America). Health data were stratified into six groups according to gender and age ranges (40-59; 60-79; and ≥80 years old) for each region. For the regression analysis, two distributions (Poisson and binomial negative) were tested with and without zero adjustments for the complete series and percentiles. Finally, the relative risks were calculated, and the effects based on exposure-response curves were evaluated and compared among regions. The negative binomial distribution fit the data best. High temperatures and low relative humidity were the most relevant risk factors for hospitalizations for cardiovascular diseases (lag = 0), while minimum temperatures were important for respiratory diseases (lag = 2 or 3 days). Temperature extremes, both high and low, were the most important risk factors for mental illnesses at lag 0. Groups with people over 60 years old presented higher risks for cardiovascular and respiratory diseases, while this was observed for the adult group (40-59 years old) in relation to mental disorders. In general, no major differences were found in the results between men and women. However, regions with higher urbanization levels presented risks, mainly for respiratory diseases, while the same was observed for cardiovascular diseases for regions with lower levels of urbanization. The Municipal Human Development Index is an important factor for the occurrence of diseases and deaths for all regions, depending on the evaluated group, representing high risks for health outcomes (the value for hospitalization for cardiovascular diseases was 1.6713 for the female adult group in the metropolitan region Palmas, and the value for hospitalization for respiratory diseases was 1.7274 for the female adult group in the metropolitan region Campo Mourão). In general, less developed regions have less access to adequate health care and better living conditions.

Natural hazard insurance outcomes at national, regional and local scales: A comparison between Sweden and Portugal.

This study addresses the role of natural hazard insurance in two European countries with different insurance markets and socioeconomic conditions: Sweden and Portugal. The analyses were conducted at the national, regional (Southern Sweden and Lisbon Metropolitan Area - LMA), and local (Malmö and Lisbon cities) scales. Most damage caused by weather and climate-related (WCR) hazards during the 1980-2019 period was not covered by insurance companies in Sweden (71%) and Portugal (91%). An insurance affordability analysis was performed using income for the national and regional scales. Unaffordability is higher in Southern Sweden than in LMA, implying that better socioeconomic conditions do not necessarily mean a higher average capacity to pay for insurance. At the local scale, urban flooding was analysed for Malmö (1996-2019) and Lisbon (2000-2011) using insurance databases, in which the most relevant 21st century rainfall events for each city are included (2014 and 2008, respectively). The influence of terrain features on flooding claims and payouts was determined using Geographic Information Systems (GIS) spatial analyses. The flat Malmö favours ponding and extensive flooding, while the distance to the drainage network and flow accumulation are key factors to promote flooding along valley bottoms in the hilly Lisbon. Flooding hotspots tend to result from a combination of higher depths/lower velocities (accumulation of floodwaters and ponding) and not from a pattern of lower depths/higher velocities (shallow overland flow). More detailed data on insurance, flooding, and socioeconomic conditions, at regional and mainly local scales, is needed to improve affordability and urban flooding risk assessments.

Psychological patterns of poverty in Russia: Relationships among socioeconomic conditions, motivation, self-regulation and well-being.

This article aims to extend our understanding of the link between socioeconomic conditions and psychological variables. It focuses on the effects of five distinct socioeconomic indicators on a range of psychological variables in samples of 162 individuals living below the poverty line and 188 of their more well-off counterparts in Russia. Participants completed a questionnaire containing measures of socioeconomic indicators (i.e., income, education, perceived deprivation, subjective socioeconomic status, and childhood socioeconomic status) and psychological variables representing self-regulation, motivation, and well-being. Our main findings include: (a) significant effects of socioeconomic status on all psychological variables, which are in line with other studies seeking to answer similar questions, (b) varying importance of different socioeconomic indicators for different psychological variables, and (c) centrality of all socioeconomic indicators except childhood socioeconomic status, and of values of openness to change and self-transcendence, satisfaction with life and self-esteem in the network of relationships between socioeconomic indicators and psychological variables.

Life course socioeconomic conditions and multimorbidity in old age - A scoping review.

Multimorbidity disproportionally affects individuals exposed to socioeconomic disadvantage. It is, however, unclear how adverse socioeconomic conditions (SEC) at different periods of the life course predict the occurrence of multimorbidity in later life. In this scoping review, we investigate the association between life course SEC and later-life multimorbidity, and assess to which extent it supports different life course causal models (critical period, sensitive period, accumulation, pathway, or social mobility). We identified four studies (25,209 participants) with the first measure of SEC in childhood (before age 18). In these four studies, childhood SEC was associated with multimorbidity in old age, and the associations were partially or fully attenuated upon adjustment for later-life SEC. These results are consistent with the sensitive period and the pathway models. We identified five studies (91,236 participants) with the first measure of SEC in young adulthood (after age 18), and the associations with multimorbidity in old age as well as the effects of adjustment for later-life SEC differed from one study to the other. Among the nine included studies, none tested the social mobility or the accumulation models. In conclusion, SEC in early life could have an effect on multimorbidity, attenuated at least partly by SEC in adulthood.

The hardships of the poorest during the COVID-19 pandemic: Data about the socioeconomic conditions and governance of informal workers.

This report presents survey data about the socioeconomic conditions and governance of informal workers in Cali, Colombia during the COVID-19 pandemic. Conducted with 750 street vendors via telephone, the survey explores eight interrelated topics: demographics, households and children, economic activities, income and expenses, access to financial services and debt, institutional trust, health, and subjective wellbeing. These data are valuable for two reasons. First, they allow for an analysis of the social and economic consequences of the pandemic for a population group that remains understudied and neglected by social policy. Second, they allow for an understanding of the governance of informal work during crises and possible paths to promote greater inclusion. Taken together, the data presented here provide tools for conducting academic and policy-relevant analysis about informal workers, the long-term consequences of COVID-19 in the global South, and how recovery from the pandemic can be made more inclusive and sustainable.