Factors Associated with Reported COVID-like Symptoms and Seroprevalence Data Matched with COVID-like Symptoms in Slums and Non-Slums of Two Major Cities in Bangladesh.

OBJECTIVES: To examine the levels and socio-demographic differentials of: (a) reported COVID-like symptoms; and (b) seroprevalence data matched with COVID-like symptoms. METHODS: Survey data of reported COVID-like symptoms and seroprevalence were assessed by Roche Elecsys® Anti-SARS-CoV-2 immunoassay. Survey data of 10,050 individuals for COVID-like symptoms and seroprevalence data of 3205 individuals matched with COVID-like symptoms were analyzed using bivariate and multivariate logistic analysis. RESULTS: The odds of COVID-like symptoms were significantly higher for Chattogram city, for non-slum, people having longer years of schooling, working class, income-affected households, while for households with higher income had lower odd. The odds of matched seroprevalence and COVID-like symptoms were higher for non-slum, people having longer years of schooling, and for working class. Out of the seropositive cases, 37.77% were symptomatic-seropositive, and 62.23% were asymptomatic, while out of seronegative cases, 68.96% had no COVID-like symptoms. CONCLUSIONS: Collecting community-based seroprevalence data is important to assess the extent of exposure and to initiate mitigation and awareness programs to reduce COVID-19 burden.

COVID-19 Vaccine Acceptance, Attitude and Perception among Slum and Underserved Communities: A Systematic Review and Meta-Analysis.

This systematic review summarises the literature on Coronavirus Disease 2019 (COVID-19) vaccination, including acceptance, uptake, hesitancy, attitude and perceptions among slum and underserved communities. Relevant studies were searched from PubMed, Scopus, Web of Science and Google Scholar, following a pre-registered protocol in PROSPERO (CRD42022355101) and PRISMA guidelines. We extracted data, used random-effects models to combine the vaccine acceptance, hesitancy and uptake rates categorically, and performed meta-regression by R software (version 4.2.1). Twenty-four studies with 30,323 participants met the inclusion criteria. The overall prevalence was 58% (95% CI: 49-67%) for vaccine acceptance, 23% (95% CI: 13-39%) for uptake and 29% (95% CI: 18-43%) for hesitancy. Acceptance and uptake were positively associated with various sociodemographic factors, including older age, higher education level, male gender, ethnicity/race (e.g., Whites vs African Americans), more knowledge and a higher level of awareness of vaccines, but some studies reported inconsistent results. Safety and efficacy concerns, low-risk perception, long distance to vaccination centres and unfavourable vaccination schedules were prominent reasons for hesitancy. Moreover, varying levels of attitudes and perceptions regarding COVID-19 vaccination were reported with existing misconceptions and negative beliefs, and these were strong predictors of vaccination. Infodemic management and continuous vaccine education are needed to address existing misconceptions and negative beliefs, and this should target young, less-educated women and ethnic minorities. Considering mobile vaccination units to vaccinate people at home or workplaces would be a useful strategy in addressing access barriers and increasing vaccine uptake.

An Equality-sensitive Approach to Delivering Socio-economic Rights during Crises: A Focus on Kenya

This chapter discusses how the dire situation of vulnerable groups in Kenya is exacerbated in times of crises, such as the Covid-19 pandemic. Loss of employment, food shortages, and the high cost of living, coupled with the lack of equality-sensitive interventions by the government, have led to a rise in the number of Kenyans living in absolute poverty. This is despite the fact that Kenya's 2010 Constitution contains multiple provisions on the protection of the socio-economic rights of vulnerable groups, with Article 20(5)(b) going even further to require the prioritization of the needs of vulnerable groups when implementing the socio-economic rights in Article 43 of the Constitution, to ensure their widest possible enjoyment. The chapter argues that, as much as Kenya's laws provide the necessary legal framework and impetus for applying equality-sensitive approaches to delivering socio-economic rights and to avoid reinforcing inequality in times of crisis, they are not implemented by those in charge. The challenge, therefore, is the lack of application of actual laws in practice to facilitate the implementation of socio-economic rights to address the adverse effects of crises and their aftermath. In the final analysis, the chapter emphasizes that the needs of the most vulnerable in society should be prioritized when the state is implementing initiatives to respond to crises. This is what is constitutionally mandated in Kenya. To achieve this may mean the enactment of laws to best tackle contempt of court orders and blatant disregard of the law. © The several contributors 2022. All rights reserved.

Food insecurity status and its contributing factors in slums' dwellers of southwest Iran, 2021: a cross-sectional study.

BACKGROUND: One major factor causing food insecurity is believed to be poverty. Approximately 20 million Iranians live in slums with a vulnerable socioeconomic context. The outbreak of COVID-19, on top of the economic sanctions against Iran, has increased this vulnerability and made its inhabitants prone to food insecurity. The current study investigates food insecurity and its associated socioeconomic factors among slum residents of Shiraz, southwest Iran. METHODS: Random cluster sampling was used to select the participants in this cross-sectional study. The heads of the households completed the validated Household Food Insecurity Access Scale questionnaire to assess food insecurity. Univariate analysis was utilized to calculate the unadjusted associations between the study variables. Moreover, a multiple logistic regression model was employed to determine the adjusted association of each independent variable with the food insecurity risk. RESULTS: Among the 1227 households, the prevalence of food insecurity was 87.20%, with 53.87% experiencing moderate and 33.33% experiencing severe food insecurity. A significant relationship was observed between socioeconomic status and food insecurity, indicating that people with low socioeconomic status are more prone to food insecurity (P < 0.001). CONCLUSIONS: The current study revealed that food insecurity is highly prevalent in slum areas of southwest Iran. The socioeconomic status of households was the most important determinant of food insecurity among them. Noticeably, the coincidence of the COVID-19 pandemic with the economic crisis in Iran has amplified the poverty and food insecurity cycle. Hence, the government should consider equity-based interventions to reduce poverty and its related outcomes on food security. Furthermore, NGOs, charities, and governmental organizations should focus on local community-oriented programs to make basic food baskets available for the most vulnerable households.

Differential COVID-19 Vaccination Uptake and Associated Factors among the Slum and Estate Communities in Uganda: A Cross-Sectional Population-Based Survey.

Vaccination against COVID-19 remains one of the ultimate solutions to the ongoing pandemic. This study examined and compared the completion of primary COVID-19 vaccination series and associated factors in the slum and estate communities of Uganda. This was a cross-sectional survey conducted among 1025 slum and estate residents. Logistic regression models were fitted. Of the 1025 participants, 511 were slum residents and 514 were estate residents. Completion of COVID-19 vaccination was 43.8% in the slum community and 39.9% in the estate community (p = 0.03). Having more knowledge about COVID-19 was positively associated with completing COVID-19 vaccination in both communities. Perceived benefits and cues to action also had a positive association, but only among the slum residents. However, perceiving people infected with COVID-19 as having a high death rate, perceived barriers such as serious side effects and long distances, and depressive symptoms had negative associations with vaccine uptake among the slum community, but not in the estate community. Addressing barriers to vaccination, strengthening and utilizing the various cues to action, engagement of religious and cultural leaders, and continued community education and sensitization tailored to the needs of each community are potentially vital strategies in raising vaccination rates. Consideration of socioeconomic impact-alleviation strategies, especially among the urban poor, would also be beneficial.

Political Psychological and Sociocultural Determinants of Compliance with COVID-19 Emergency Measures Among Waste Pickers in an Iranian Sub-urban Slum Community.

In the context of the coronavirus disease 2019 (COVID-19) pandemic, compliance with government regulations is a tremendous challenge in the effort to curb the viral transmission. The fact that specific communities and people across the world continue to ignore government regulations of COVID-19 is a crucial issue to address. Researchers sought to examine the political psychological and sociocultural determinants of adherence to COVID-19-related law and policy measures among waste pickers in a sub-urban slum community in Iran. A cross-sectional survey of 362 waste pickers from two municipalities in the countryside of Tehran, Iran, was conducted between January and May 2022. Multiple regression analysis was used to predict the significant difference between the direct or indirect effects of political psychological and sociocultural variables on compliance with COVID-19 emergency measures. Confidence intervals were estimated using the bootstrap method. The findings supported the proposed model. The results indicated that political ideology (ß = - 0.13, 95% CI - 0.29 to 0.02), individualism worldview (ß = - 0.14, 95% CI - 0.32 to 0.07), fatalism (ß = - 0.18, 95% CI - 0.40 to 0.04), health literacy (ß = 0.16, 95%CI - 0.05 to 0.37) and prosociality (ß = 0.09, 95%CI 0.03-0.13) exert an indirect effect on compliance with the COVID-19 emergency measures through both trust in government and trust in science and scientific community. This study has implications for authorities in ensuring adherence to governmental orders for COVID-19 outbreak. A democracy-based and human rights-based approach and a flexible framework for proceeding more equitable COVID-19 legal and government regulations is critical to an effective and acceptable health response to COVID-19. Instituting slum emergency planning committees, incorporating the informal providers into all pandemic response plans in every urban informal settlement and providing an immediate guarantee of payments to waste packers will be indispensable.

Rise of Informal Slums and the Next Global Pandemic.

Informal slums are growing exponentially in the developing world and these will serve as the breeding ground for a future global pandemic. Virtually every sustainable development goal is unmet in slums around the globe thus we must act now to divert a global humanitarian crisis.

Assessing Types and Causes of Domestic Violence Against Women during Covid-19 Pandemic in Bandung Urban Slum Areas, Indonesia

Introduction: When Covid-19 cases soar, physical distancing is enforced. The potential increase in domestic violence occurs in the movement of individuals and persons who are restricted and persons confined to their households, where the victim is trapped with the violent perpetrator. This study was administered to describe domestic violence types experienced by married women living in urban slum areas in Bandung, Indonesia, and to assess the causes. Methods: 300 married women who lived in urban areas in Bandung, Indonesia, were selected as the study samples using purposive sampling technique. This study employed cross-sectional design using structured interviews. The analysis of this study used Multivariate Logistics Regression test using STATA version 16. Results: 78.3% of married women have experienced domestic violence emotionally, physically, and sexually. The most common emotional violence is husbands always trying to find out where their wives are when they are out of the house (58.0%), while the most common sexual violence is forcing sexual intercourse when wife is not interested (11%). Factors causing domestic violence include family income (p-value: 0.006;OR:0.41) and husband alcohol consumption habits (p-value: 0.050;OR: 0.14). Conclusion: The negative impacts of women who have received domestic violence include mental, physical and female reproductive health. Comprehensive health services for women victims of violence need to be improved in all sectors, both government and non-government. © 2022 UPM Press. All rights reserved.

Challenges and Barriers for Accessing Online Education Amongst School Children in an Urban Slum Area of Pune, India.

Background COVID-19 has restricted the education of students on a global scale. With the nationwide stay-at-home directives, schools, colleges and universities have been shut down. Online education is a measure for continuing the learning of the students in times of pandemic. However, the school-going children of urban slum areas face challenges in attending online classes. Through this study, we have tried to highlight the problems and challenges faced by the students and their parents from an urban slum area of Mangalwarpeth, Pune for attending online education in times of COVID. The urban slum area mainly consists of people from low socioeconomic backgrounds lacking the necessary resources and supportive environment for an online mode of education. We have observed and recorded the response of the participants in the context of online education in times of COVID and challenges faced by the lower socio-economic strata due to reasons like non-availability of resources, poor internet connectivity, poor understanding, and distractions while classes leading to low attendance. Methods A cross-sectional qualitative study was conducted in an urban slum area of Mangalwarpeth, Pune. Data was collected over four months after receiving consent from the parents of the children from the metropolitan slum area of Mangalwarpeth. A structured questionnaire was used. Data was coded on an excel sheet and was transferred to SPSS software version 21 (IBM Corp., Armonk, NY) and was represented in frequency and percentage. Result After the data collection and analysis, we found that (according to the modified Kuppuswamy scale for socioeconomic status) around 53% of the study population were from the lower middle class followed by the upper lower class (27.16%), upper middle class (9.87%), lower class (8.64%) and upper class (1.23%). Sixteen percent of participants do not have smartphones available, and 95.5% do not have a laptop required for online classes. A total of 19.5% of the students do not have access to internet services. Eighty-four percent of parents agreed on increased expenses of the internet. Conclusion Students from urban slum areas belong to lower socioeconomic classes and face problems while attending online classes like the nonavailability of resources and lack of a supportive environment. There are increased expenses of the internet as a result of the online mode of education, with increased distractions from the surroundings, concentration problems, and less understanding of the subjects. The students cannot interact with their teachers and friends and as a result, their social interaction is reduced. A supportive environment and proper resources are essential for the learning of students to continue education in times of emergencies like pandemics.

A Systematic Review of Water, Sanitation, and Hygiene for Urban Poor in Low- and Middle-Income Countries during the COVID-19 Pandemic through a Gendered Lens.

Inadequate water, sanitation, and hygiene (WASH) among urban poor women is a major urban policy concern in low- and middle-income countries (LMICs). There was a paucity of systematic information on WASH among the urban poor during the pandemic. We reviewed the opportunities and challenges faced by the urban poor in LMICs during the COVID-19 pandemic. We used the PRISMA guidelines to conduct a comprehensive search of 11 databases, including MEDLINE, Embase, Web of Science, and CINAHL, between November 2019 and August 2021. We used thematic analysis to synthesize the qualitative data and meta-analyses to estimate the pooled prevalence. We screened 5008 records, conducted a full-text review of 153 studies, and included 38 studies. The pooled prevalence of shared water points was 0.71 (95% CI 0.37-0.97), non-adherence to hygiene practices was 0.15 (95% CI 0.08-0.24), non-adherence to face masks was 0.27 (95% CI 0.0-0.81), and access to shared community toilets was 0.59 (95% CI 0.11-1.00). Insufficient facilities caused crowding and long waiting times at shared facilities, making physical distancing challenging. Women reported difficulty in maintaining privacy for sanitation, as men were present due to the stay-at-home rule. Due to unaffordability, women reported using cloth instead of sanitary pads and scarves instead of masks.

Association between mother's work status and child stunting in urban slums: a cross-sectional assessment of 346 child-mother dyads in Dhaka, Bangladesh (2020).

BACKGROUND: A growing literature highlights the increased risk of stunting among children growing up in informal or slum settlements. Despite relatively high rates of female labor force participation in slums, there is limited evidence on relationship between mother's work participation and nutritional outcomes of children in these settings. METHODS: We conducted a cross-sectional study in two large slums (Korail and Tongi) of Dhaka and Gazipur, Bangladesh to assess the association between maternal work and childhood stunting in a low-income urban context. Logistic regression models estimated unconditional and conditional associations between maternal work status and 1) child stunting, 2) child morbidity and dietary intake, and 3) health and hygiene behaviors. Subgroup analyses were done by type of child care support available. RESULTS: After adjusting for variations in individual and household level characteristics, we found that children of working mothers had nearly twice the odds of being stunted than children of non-working mothers (OR 1.84, 95%CI 1.05-3.23). Large differences in stunting were found by available care support: compared to children of non-working mothers, children of working mothers with nuclear-type family support had 4.5 times increased odds of stunting (OR 4.49, 95%CI 1.81-11.12), while no odds differential was found for children of working mothers with an extended-type family support (OR 0.69, 95%CI 0.30-1.59). CONCLUSIONS: Maternal employment is associated with a substantial increase in the odds of child stunting in the slum areas studied. Given that these effects only appear to arise in the absence of adequate family support, integrating appropriate childcare support measures for low-income urban working mothers might be an effective strategy to help reduce the prevalence of chronic undernutrition among slum children.

WASH, vulnerability, severity, and the response of urban slum dwellers to the COVID-19 pandemic

Urban slum dwellers lacked water, sanitation, and hygiene (WASH) and health care assistance during the COVID-19 outbreak. This research aimed to investigate the lived experiences of slum dwellers during the COVID-19 pandemic. Data were obtained through 453 questionnaires and 29 semi-structured interviews with community people and organizations from two slum neighbourhoods in Bangkok, Thailand. The results showed that respondents who had no access to WASH perceived the pandemic as more severe (t = -3.807, p < 0.001;df = 451), whereas respondents who had access to WASH had a higher protective intention towards COVID-19 (t = -3.947, p < 0.001;df = 431). However, there are no differences between the two groups in terms of knowledge, practice, vulnerability, perceived self-efficacy, response efficacy, or response cost between accessibility and non-accessibility to WASH. The Structural Equation Modelling (SEM) results showed that the knowledge of slum dwellers drives their current practice (beta = 0.456, p < 0.001) and perceived vulnerability (beta = 0.180, p < 0.001), wherein the current practice is influenced by their perceived vulnerability (beta = 0.163, p = 0.002). Their current practice also influences their perceived self-efficacy (beta = 0.314, p < 0.001), response efficacy (beta = 0.557, p < 0.001), and severity (beta = 0.198, p = 0.003). Their perceived severity affects their protective intention (beta = 0.102, p = 0.043) and perceived self-efficacy promotes their protective behaviours (beta = 0.308, p < 0.001). Future pandemic prevention programmes should improve the awareness about COVID-19 protection, self-efficacy, and response efficacy through community sensitization.

Four-Dimensional Covid-19 Simulation in Slums Using Hologram Interferometry of Sentinel-1A-Satellite

This study is the first work in implementing four-dimensional (4-D) hologram interferometry to simulate COVID-19 rate variations in slums using microwave remote sensing technology. The study also proposed a new mathematical formula to simulate the rate of COVID-19 from 4-D hologram interferometry;termed as Marghany's 4-D hologram SAR interferometry. The most critical challenge of the world is pandemic COVID-19;which is spreading widely across slums. Slums are considered the main source of criminals and diseases owing to lack of perfect housing, unsanitary conditions, poor infrastructures and occupancy security. The meagre in the impenetrable urban slums are the furthermost susceptible to impurity because of (i) scarce and delimited admission to wellbeing drinking water and satisfactory extents of water for individual sanitation;(ii) the absence of elimination and handling of an excretory product;and (iii) the lack of removal of solid waste. In this view, urban slum requires the standard and accurate method to be identified automatically from remote sensing data. In this context, a remote sensing technique plays a tremendous role in monitoring land use spatial variations. The data are used that involved historical three Sentinel-1A data. The consequences present that the hologram Interferometric technique is being an admirable device for a disordered urban slum in place of it can differentiate between them from its adjacent setting. Reconstruction of a 4-D urban slum is delivered by hologram Interferometric phase unwrapping based on Particle Swarm Optimization (PSO), besides historical time variations of COVID-19 are allied with slum. Hologram interferometric reveals a countless imbrication of COVID percentage rate of 1.2% between high-class zone with the urban slum. The consequences disclose that urban slums, road networks, and infrastructures are effortlessly categorized. In conclusion, the hologram Interferometric based on Particle Swarm Optimization (PSO) is an appropriate algorithm for chaotic 4-D urban slum automatic detection in Sentinel-1A.

Exploring the Factors Associated with Dietary Diversity of Children Aged 6-59 Months in Some Rural and Slum Areas of Bangladesh amid the COVID-19 Pandemic: A Mixed-Effect Regression Analysis.

Background: Dietary diversity (DD) is a key component of diet quality, and malnutrition due to poor diet quality leads to child morbidity and mortality. However, in Bangladesh, there is a lack of information on childhood DD (for children aged 6-59 mo) amid the coronavirus disease 2019 (COVID-19) pandemic. Objectives: The purpose of this study was to assess the minimum DD and its associated factors among children aged 6-59 mo during the COVID-19 pandemic in Bangladesh. Methods: A cross-sectional study was carried out in 6 districts of Bangladesh. A total of 1190 respondents were included using cluster random sampling. The Individual Dietary Diversity Score (IDDS) for children was used to assess the children's DD. Factors associated with DD of children were identified using a multilevel binary logistics regression model. Results: About 70% of the children aged 6-59 mo had minimum DD during the COVID-19 pandemic in Bangladesh. Children who belonged to slum areas [adjusted odds ratio (AOR): 0.45; 95% CI: 0.24, 0.83], family income 12,000-15,000 Bangladeshi taka (BDT) (AOR: 1.79; 95% CI: 1.06, 3.05) and >15,000 BDT (AOR: 2.59; 95% CI: 1.47, 4.57), mothers aged 26-30 y (AOR: 0.35; 95% CI: 0.20, 0.62) and >30 y (AOR: 0.43; 95% CI: 0.22, 0.85), respondents who had 2 children <5 y old (AOR: 0.43; 95% CI: 0.28, 0.66), and children aged 12-23 mo (AOR: 1.89; 95% CI: 1.14, 3.20) were significantly associated with DD among children aged 6-59 mo. Conclusions: The findings of this study highlight the need for food and nutrition-related intervention, particularly targeting mothers of younger age and with >2 children <5 y old, mothers from slum regions, and fathers who were unemployed, to improve children's DD practices.

Health protection challenges of slums residents during the COVID-19 pandemic, according to the social determinants of health framework: A case study of Kerman city in Iran.

BACKGROUND: Coronavirus disease-2019 (COVID-19) pandemic can aggravate the health problems in slum areas. The present study intends to examine the challenges of health protection of slum's residences during the COVID-19 pandemic with the Social Determinants of Health perspective, in Kerman city in Iran. MATERIALS AND METHODS: The present study was a qualitative content analysis. Data were collected by purposeful sampling in-depth and semi-structured interviews with 16 people. The interviews were conducted (from October to December 2020) with the local representatives of the slum's residents, health-care workers, managers of facilitation offices, and welfare social service centers that are located in slum areas (Interview's guide is attached). The textual material from the interviews was entered into the MAXQDA software and directed content analysis was used to analyze the data. RESULTS: Data analysis led to the identification of 4 categories (Sociocultural, Situational, Economical, and Physical environment) and 12 subcategories: Sociocultural: lack of awareness, begging culture, low trust in disease control programs, low bottom-up planning, and increasing violence; Situational: decreasing donors' activities and canceling important meetings; Economical: unemployment, decreasing in income, and increasing limitations of many institutions in providing resources; and Physical environment: inadequate space and inappropriate conditions in some houses and alleys for people protection against Corona viruses. CONCLUSIONS: Slum residents have faced many challenges during the COVID-19 pandemic. These challenges can affect the health of slum and other urban dwellers. Multidisciplinary thinking and actions are needed. Increase awareness and engagement slum residents in control disease programs should be considered.

Sero-epidemiological survey of SARS-Cov2 in urban slums of a capital city: A cross- sectional study.

Introduction: Slums are the most vulnerable settlements for COVID-19 infection due to overcrowding and unsanitary conditions. Thus, this study was undertaken to determine the level of seroprevalence for SARS-CoV-2 infection among slum dwellers. Material and Methods: A community-based cross-sectional seroepidemiological survey was conducted at several slums of Patna over four weeks, that is, January 20-February 20, 2021. A total of 650 participants were recruited in the study by applying a two-stage random sampling technique. Results: Seroprevalence for SARS-CoV-2-specific IgG antibody was found to be 31.5% (95% Confidence Interval (CI): 27.9-35.1). The seropositivity prevalence was found to be statistically higher among participants belonging to the age group of 18-30 years (41.1%), male gender (67.9%), high-risk occupation (70%), below poverty line (BPL) economic status (62.1%), and residing in a hut (51.2%) and kutcha house (42.4%). Further, 262 participants reported having COVID-like symptoms in the preceding 1 month of the survey, which was found to be significantly associated with the seropositivity status. Conclusion: The finding of the study reflects that a moderate seroprevalence level of COVID-19 infection was acquired in the slum settings of Bihar. Unchecked spread in these informal communities will pose a serious threat to the rest of the bigger sections of urban populations. This indirectly calls for early intervention in the form of preference in the roadmap of COVID-19 vaccination.

Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring

Over a billion people live in slums, with poor sanitation, education, property rights and working conditions having a direct impact on current residents and future generations. Slum mapping is one of the key problems concerning slums. Policymakers need to delineate slum settlements to make informed decisions about infrastructure development and allocation of aid. A wide variety of machine learning and deep learning methods have been applied to multispectral satellite images to map slums with outstanding performance. Since the physical and visual manifestation of slums significantly varies with geographical region and comprehensive slum maps are rare, it is important to quantify the uncertainty of predictions for reliable and confident application of models to downstream tasks. In this study, we train a U-Net model with Monte Carlo Dropout (MCD) on 13-band Sentinel-2 images, allowing us to calculate pixelwise uncertainty in the predictions. The obtained outcomes show that the proposed model outperforms the previous state-of-the-art model, having both higher AUPRC and lower uncertainty when tested on unseen geographical regions of Mumbai using the regional testing framework introduced in this study. We also use SHapley Additive exPlanations (SHAP) values to investigate how the different features contribute to our model’s predictions which indicate a certain shortwave infrared image band is a powerful feature for determining the locations of slums within images. With our results, we demonstrate the usefulness of including an uncertainty quantification approach in detecting slum area changes over time.

Access to Digital Information and Protective Awareness and Practices towards COVID-19 in Urban Marginalized Communities.

Due to digital inequality, poor living, and health care conditions, marginalized people are the most vulnerable group to the COVID-19 pandemic. This study examined how digital information influences knowledge, practices, threat appraisals, and motivation behaviors of urban marginalized communities. It examined slum people's digital competencies, their access to COVID-19 online information, and their trust in COVID-19 information provided by both online and offline media. A total of 453 slum people in Bangkok city, Thailand were surveyed, and multiple regression was performed to examine whether socio-demographic factors influence the access to online communication of slum people. We hypothesized that access to online information might affect marginalized people's awareness of COVID-19 and resulted in greater levels of their practices and protective behaviors. The finding showed that slum people who had access to online information tended to have a better awareness of self-protection against COVID-19, while elderly, female, and foreign migrant workers faced a number of constraints in accessing COVID-19 online information. Such results are important considering the pandemic is compelling societies to turn toward digital technologies to confront the COVID-19 pandemic and address pandemic-related issues. We also discuss how to enhance the role of digital communication in helping urban marginalized communities during and after the pandemic.

COVID-19, adversities and depression among older adolescents in urban slums of India.

PURPOSE: We report findings from a survey on the mental health impact of COVID-19 factoring environmental adversities among older adolescents (15-19 years) living in urban slums in India. METHODS: We report survey results of 3490 older adolescents. Patient Health Questionnaire-9 was used to assess depression, slum adversity questionnaire for slum conditions, and for COVID-19 infection we recorded self-reported positivity status. Sociodemographic details were also collected. Additional sub-group analyses of sample who had depression and tested positive for COVID-19 infection was conducted. We used univariate and multivariate logistic regression models to identify factors and COVID-19 infection that were associated with depression. RESULTS: Adolescents with adversities were three times more likely to report depression. Adolescents who reported COVID-19 infection were about two times more likely to have depression. Sub-group analyses showed that adolescents having experienced adversities and girls were more likely to report depression following COVID-19 infection. CONCLUSIONS: There is a need for an intersectional research framework that incorporates stress arising out of a pandemic, social disadvantage, and systemic inequities. Such a framework will help to assess mental health issues of developmentally vulnerable groups residing in disadvantageous conditions.

IMPACT OF SOCIAL ACCOUNTABILITY AND RESPONSIBILITY THROUGH EDUCATIO N AND ENVIRONMENT

This research paper is based on a fieldwork project, undertaken by the group of volunteer students in collaboration with Indian Development for Human Care (IDHC society), India. Slums are a global phenomenon that may be witnessed in nearly any city on the planet. Children from low-income families who live in slums are deprived of numerous essential facilities that non-slum children enjoy in general, therefore they require special attention. We as a team started the research by understanding the work and establishing good relationships with the staff and students to comprehend the way of their working in a better way. We were introduced to the youngsters with whom we will be working for their better future. We started by teaching them basic English, mathematics, basic habits, personal hygiene;we decided to plant trees as a good environment is necessary for our well-being, in this research work we spread awareness in our neighborhood regarding planting trees and keeping the surroundings clean. Also, spread awareness regarding Covid-19 to underprivileged children. © The Electrochemical Society