The Immediate Impacts of COVID-19 on Low-Income Households: Evidence from Malaysia

This study unravelled the economic impacts of the coronavirus disease 2019 (COVID-19) on low-income households. The asymmetric economic impacts of the pandemic that are biased towards the poor, young, and women have been well established. However, micro evidence on the poor is limited, thus demanding detailed understanding to design an effective targeted assistance. In this study, data were gathered from face-to-face interviews using a sampling frame provided by the Department of Statistics Malaysia (DOSM). Online data collection was dismissed to ensure all low-income households had the same chance to participate, as some might have no online access. Logistic regressions were estimated to identify the characteristics of households that suffered job loss and income reduction. The findings revealed that one in ten households experienced job loss during the pandemic, while one third survived with lower income. The extent of income reduction was rather severe, as the pandemic had reduced income generation by more than half among the affected households. The regression outcomes showed that the higher-income households among the low-income households had higher chances of experiencing income reduction. A similar scenario was noted for less-educated households. Notably, the adverse impacts were not biased toward female-headed households, as is widely perceived. There was no evidence that economic sectors explained job losses, but households involved in the agriculture, domestic, and transportation sectors had higher chances of suffering from income reduction. These results suggest that monetary government assistance should not rely on general indicators, such as female-headed households and below-poverty-line income (PLI). Instead, a more effective measure is to look at other characteristics, such as employment type, education level, and job sectors.

Impact of COVID-19 on the Territory and Demographic Processes: A View from Spanish Rural and Urban Areas

The current physiognomy and problems of rural and urban territories in Spain are directly related to the demographic processes linked to the rural exodus of the 1960s. In the year 2020, a new problem and/or conditioning factor arose, COVID-19, which has modified dynamics, routines, and aspects of the daily life of the population. The objectives of this research are to check whether there are differences in the effect of COVID-19 between urban and rural municipalities and, in turn, to analyse the demographic dynamics of the population between 2020 and 2022, as well as territorial distribution patterns. To this end, population data were extracted from the Population Register and Residential Variation data for the period 2010 and 2022 and demographic and statistical calculations (Student's t-test and Pearson's correlation) were carried out. Among the main results, it is observed that COVID-19 has less of an effect in Spanish rural areas. Moreover, these areas show a positive demographic trend for the period 2020-2022. Population growth has had a direct influence on the improvement of demographic data, although with differences according to autonomous communities. This fact represents a break in the trend in rural areas, but is beginning to show signs of exhaustion and a return to the pre-pandemic trend.

Experiences of accumulated stress among aging parent caregivers of adults with autism spectrum disorder

With the continuing increased incidence rate of autism spectrum disorder over the decades, there are increasing numbers of adults with autism who require varying levels of lifelong care, typically from parents. It is necessary to understand parents' lived experience of lifelong caregiving, and how their own aging process further impacts life quality. Furthermore, greater understanding of stressors, resources, appraisals, and coping among parent caregivers of children with "high functioning autism" who are transitioning into young adulthood is particularly necessary as services, needs, and experiences for both are nuanced due to functional status, deficits in the service system, and demographic disparities. Given lifespan aspects past research has not addressed, the study focused on development of a measure of parent accumulated stressors, and on interrelations of stressors, perceived social support, future time perspective, burden, satisfaction, and coping on health-related quality of life and meaning in life among 28 parents of young adults with autism. Although proposed quantitative analyses were not completed due to sample size, qualitative analyses on parent experiences and stressors revealed common themes of concern for child's future quality of life, complicated dynamics of providing help to their child overtime, and increased stress related to others' lack of understanding of their child. In total, 10 themes and multiple subthemes were identified in relation to aspects of accumulated stressors. Findings suggest parent stress with this specific population is complex, manifesting in nuanced ways at different life stages. Impacts of the COVID-19 pandemic are also explored, and implications for scientific advancement and clinical services are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

An MCDM Approach to Assessing Influential Factors on Healthcare Providers' Safe Performance during the COVID-19 Pandemic: Probing into Demographic Variables

This study assessed the influence of occupational stress, individual resilience, and organizational resilience on the safety performance of healthcare providers during the COVID-19 pandemic. Demographic variables including age, work experience, and sex were explored. Data were collected from 344 healthcare providers employed at a teaching hospital. The entropy method and the multi-criteria decision-making (MCDM) method were used to examine the influence of occupational stress, individual resilience, and organizational resilience on the safe performance of healthcare providers. The results of the entropy method showed that organizational resilience was the most influential factor in the safe performance of older healthcare providers. In contrast, individual resilience was the most significant factor in enhancing the safety performance of younger healthcare providers. Analyses of work experience indicated that individual resilience was the most influential factor in the safe performance of less experienced healthcare providers. Gender-based analysis revealed that individual resilience had a major effect on the safety performance of both women and men. The findings of this study could assist managers in improving the performance of the healthcare sector during pandemics by using and implementing resilience concepts at both the individual and organizational levels.

The Relationship of SEDS, Food Intake and Work Engagement among Telecommuting Employees of the Education Sector during the COVID-19 Pandemic: A Mixed Method Study

Due to COVID-19, the shift to telecommuting became a widely used work set-up to maintain economic balance. This work set up is associated with risks to employees' wellness. As prevention to the risks, employees must be provided with ways to understand the telecommuting attributes. In relation, this study targets in understanding the links between the socio-economic demographic status, work engagement, and food intake of the education sector's tele-employees. The 110 samples are gathered from the Senior High school Department using convenience sampling, an online survey, and the mixed method. ANOVA and multi-linear regression are used as statistical treatments. The study found that the older generation with higher Income is more likely linked with higher work engagement. The younger generation, low-income earners, and males are inclined more toward unhealthy foods as compared to their counterparts. Low-income earners perceived that their work engagement falls under the category that energy to work is at a bare minimum level. The participants' education attainment revealed significance with energy-giving or carbohydrate-source foods. The qualitative data highlighted job position was perceived with a link to food intake and work engagement. Unhealthy food consumption is perceived with a beneficial association with work engagement, although it is suggested for further investigation. With these findings, the education sector's stakeholders, nutrition, mental health professionals, and future researchers would mainly benefit from this study for intervention generation. © 2023 ACM.

Analysis of e-Employee Discipline Implementation during COVID-19 Pandemic in the Workplace

e-Employee Discipline is the electronic and remote conduction of employee discipline procedure during the COVID-19 pandemic. This study is a quantitative descriptive study that focused on assessing and analyzing the implementation of e-Employee Discipline Procedure. Convenient purposive sampling technique was assigned to 150 employees who were employed during COVID-19 pandemic in Metro Manila as the respondents in this study. Furthermore, a survey was utilized to gather quantitative data. Moreover, a one-on-one interview using the data gathered in the statistical result was utilized to gather qualitative data. The demographic profile, majority are male (60%) who age 22 to 25 years old (34%), who are college graduates (48.7%), having an entry level job position (46.7%) and working in art/media/communication industry (35.3%) during the COVID-19 pandemic. The respondents find that the implementation of the e-Employee Discipline Procedure as fair and effective in terms of proper documentation procedures, handling of confidentiality, safety and security ( = 4.64;σ = 0.68). However, the challenge is that the respondents moderately agree that the procedure of employee discipline that is conducted remotely is somehow a bit far off with what is usually done in the office (face-to-face) ( = 4.38;σ = 1.30). The absence of physical touch and non-verbal cues like tone of voice, body language and hand gesture are something that the respondents are longing for. Pandemic really detached people from the warmth of each other. Conducting employee discipline which oftentimes has dealt with emotions remotely finds the respondents longing for the physical presence of being heard. © 2023 ACM.

Analysis and Interpretation of Adolescent Multi Relationship and Privacy during COVID-19 Pandemic

Closures of schools in the advent of COVID-19 all around the world have affected nearly about 87% of students in different aspects of life. The importance of school life and its impact on the social and psychological well-being of an adolescent has left a deep and evident impression. As per the Indian population statistics, we embrace the largest adolescent population in the world. The COVID-19 pandemic had a significant impact on the lives of millions around the world. The authors through an exhaustive survey specially designed to relate the present mental state and well-being have analyzed the critical phase. 315 participants that consisted of both males and females take up the survey. 'What we analyzed is the fact regarding the association between Stress anxiety and Depression among the Adolescent in Covid - 19 situation.' . © 2023 IEEE.

Influence of environmental and demographic factors on the transmission and mortality rate of COVID19 in India

COVID-2019 has been declared a Public Health Emergency of International Concern (PHEIC) by the World Health Organization due to the global spread of 2019-nCOV at an exponential rate (WHO). Scientists have hypothesized the reduction in transmission rate at warm and humid environment whereas facilitate rapid transmission at cold and dry environment. Hence in this work, we examine the combined impact of environmental and demographic factors along with the implementation of lockdown by the Government of India on the transmission rate of 2019-nCoV. Our analyses indicated a lower mortality rate in spite of higher population density in India compared to other countries and lower exponential growth factor after lockdown compared to before lockdown. The containment of transmission and mortality rate may be attributed to the favorable environment and median population age, respectively. Even though, to significantly reduce the outbreak, individuals, the media, and healthcare organizations are necessary to work together. © 2023 Author(s).

Socio-economic and clinical drivers of COVID-19 mortality: An empirical analysis of the supply-side and demand-side moderators

The COVID-19 pandemic has disrupted everyday life globally, with severe consequences in several countries and regions. A key concern related to the COVID-19 pandemic is the wide variation in mortality across nations and sub-national locations such as states and counties. Anecdotal evidence, as well as evidence from CDC, indicates that the risk of spread as well as the risk of mortality from the pandemic is higher for regions with a population characterized by disadvantaged economic (income) and racial (underserved communities) and demographic profiles (age). Multiple studies have indicated that the most crucial step toward reducing mortality is expanding critical care capacity through procuring personal protective equipment (PPE) and ventilators and training critical care frontline employees. It is projected that with exponential growth in the pandemic spread, many regions would fall short of critical care capacity, increasing mortality.Furthermore, the pandemic has imposed high levels of constraints on resource availability, even in developed nations. Under resource constraints in critical care delivery, mitigation strategies need to account for the variation in observed cases and the disparity in mortality across locations. In my dissertation, I make a concerted effort to contribute toward understanding the sources of variation in mortality and propose a framework that enables pandemic preparedness and mitigation strategies that encapsulate the spatial and temporal variation in risk of mortality from COVID-19. The mitigation strategies are divided into supply-side and demand-side moderators of mortality. Accordingly, I focus on two mitigation strategies: (i) ICU capacity as a supply-side moderator and (ii) Vaccination coverage as a demand-side moderator. The overarching objective of my dissertation is to understand the role of supply-side and demand-side moderators of mortality, independently and jointly, of the association between socio-economic, demographic (henceforth referred to as social), and clinical risk factors and COVID-19 mortality. Much of the epidemiological literature on COVID-19 has focused on reducing the spread. However, the ultimate goal is to reduce mortality. There is a necessity in both practice and academic literature to understand actionable policies that can reduce mortality in general and spatial variation of mortality in specific. This dissertation research primarily leverages empirical methodology combining matching procedures with fixed effect modeling of panel data to test the hypothesized relationships of interest. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Impact of COVID-19 on the Factors Influencing on-Time Software Project Delivery: An Empirical Study

The objective of this research paper is to investigate the impact of COVID-19 on the factors influencing on-time software project delivery in different Software Development Life Cycle (SDLC) models such as Agile, Incremental, Waterfall, and Prototype models. Also to identify the change of crucial factors with respect to different demographic information that influences on-time software project delivery. This study has been conducted using a quantitative approach. We surveyed Software Developers, Project Managers, Software Architect, QA Engineer and other roles using a Google form. Python has been used for data analysis purposes. We received 72 responses from 11 different software companies of Bangladesh, based on that we find that Attentional Focus, Team Stability, Communication, Team Maturity, and User Involvement are the most important factors for on-time software project delivery in different SDLC models during COVID-19. On the contrary, before COVID-19 Team Capabilities, Infrastructure, Team Commitment, Team Stability and Team Maturity are found as the most crucial factors. Team Maturity and Team Stability are found as common important factors for both before and during the COVID-19 scenario. We also identified the change in the impact level of factors with respect to demographic information such as experience, company size, and different SDLC models used by participants. Attentional focus is the most important factor for experienced developers while for freshers all factors are almost equally important. This study finds that there is a significant change among factors for on-time software project delivery before and during the COVID-19 scenario. Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

Mental, physical, and cognitive wellbeing during the COVID-19 pandemic: Data from Scotland and Japan

We present data from two studies examining how COVID-19 restrictions affected health behaviours (alcohol consumption, diet, sleep quality, and physical activity levels), mental wellbeing (negative mood) and cognitive function (decision making, attention, learning, working memory, and time perception) in association with sociodemographic factors. Study 1 assessed participants in Scotland and presents cognitive function data for five timepoints. Study 2 is transnational, assessing participants in Scotland and Japan. Data are stored as CSV files. Reuse may involve examining further effects of pandemic enforced social isolation or serve as baseline data when assessing social isolation in expeditions or ageing. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

The Impact of Socioeconomic and Demographic Factors on COVID-19 Forecasting Model

Background: COVID-19 has become a primary public health issue in various countries across the world. The main difficulty in managing outbreaks of infectious diseases is due to the difference in geographical, demographic, economic inequalities and people's behavior in each region. The spread of disease acts like a series of diverse regional outbreaks;each part has its disease transmission pattern. Objective: This study aims to assess the association of socioeconomic and demographic factors to COVID-19 cases through cluster analysis and forecast the daily cases of COVID-19 in each cluster using a predictive modeling technique. Methods: This study applies a hierarchical clustering approach to group regencies and cities based on their socioeconomic and demographic similarities. After that, a time-series forecasting model, Facebook Prophet, is developed in each cluster to assess the transmissibility risk of COVID-19 over a short period of time. Results: A high incidence of COVID-19 was found in clusters with better socioeconomic conditions and densely populated. The Prophet model forecasted the daily cases of COVID-19 in each cluster, with Mean Absolute Percentage Error (MAPE) of 0.0869;0.1513;and 0.1040, respectively, for cluster 1, cluster 2, and cluster 3. Conclusion: Socioeconomic and demographic factors were associated with different COVID-19 waves in a region. From the study, we found that considering socioeconomic and demographic factors to forecast COVID-19 cases played a crucial role in determining the risk in that area. © 2023 The Authors. Published by Universitas Airlangga.

Individual differences in patterns of developmental opportunity and constraint during covid-19: Implications for longitudinal well-being

Individual differences in sociodemographic characteristics and trait-like perceptions of opportunities and constraints may shape how people respond to adversities such as the COVID-19 pandemic. However, little is known about how these factors combine to form multifaceted profiles of developmental opportunity and constraint or the implications of such profiles for longitudinal well-being following major life stressors. Using 1-year data from a national sample of U.S. adults (n = 293), we identified profiles based on relevant sociodemographic characteristics (age, socioeconomic status, chronic conditions, functional status) and trait-like perceptions of opportunity and constraints (perceived mastery, perceived constraints). Results of latent profile analyses showed that three common profiles emerged at pandemic onset (veridical opportunity, perceived constraints, perceived opportunity). Subsequent latent growth models showed that, despite reporting more sociodemographic constraints, the perceived opportunity profile exhibited better 1-year emotional well-being (positive and negative affect) during the pandemic than the perceived constraints profile. Findings advance the literature by identifying multifaceted individual differences in profiles of developmental opportunity and constraint and by showing these profiles have consequences for longitudinal well-being following the pandemic onset. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Critical Commentary: Beyond growth and density: Recentring the demographic drivers of urban health and risk in the global south

Debates within urban studies concerning the relationship between urbanisation and infectious disease focus on issues of urban population growth, density, migration and connectivity. However, an effective long-term risk and wellbeing agenda, without which the threat of future pandemics cannot be mitigated, must also take account of demographic forces and changes as critical drivers of transmission and mortality risk within and beyond cities. A better understanding of the dynamics of fertility, mortality and changing age structures – key determinants of urban decline/growth in addition to migration – provides the foundation upon which healthier cities and a healthy global urban system can be developed. The study of how basic demographic attributes and trends are distributed in space and how they interact with risks, including those of infectious disease, must be incorporated as a priority into a post-COVID-19 urban public health agenda. This perspective concurs with recent debates in urban studies emphasising the demographic drivers of urban change. Moreover, it raises critical questions about the microbial and environmental emphasis of much research on the interface of urban health and governance.

Study of body composition analysis in the view of obesity prognosis

Chronic overweight is characterized by significant elevations in abdominal fat as well as changes in the composition of fat free mass, particularly total body fluids and its interstitial compartment. The applied in the real restrictions placed by morbid obesity, as well as changes in body content from those of healthy weight, provide enormous hurdles to fat percentage assessment. This research concentrates on some of the research and practice challenges connected with using popular fat percentage measures, and it finds available evidence on suitable approaches for use in extremely obese people. There is already little scientific literature on which body composition measures may be utilised confidently in very obese people. A typical 3 model that combines readings of body mass by air - assisted plethysmography and total body liquid by bio-electrical impedance could provide metrics of percentage body fat in the extremely obese that are significant compared to a conventional, technically skilled 3 storage area prototype that requires infrastructure including such isotopic ratios mass spectrometry as well as important technological knowledge. This study focuses on a few fundamental issues that investigators and physicians confront when doing anthropometric studies on highly obese individuals. A 3 basic framework that is efficient and simple to implement shows potential for usage in this community. Nonetheless, more study on this and other suitable techniques of fat percentage measurement in a broad sample of extremely overweight adults is required. © 2023 Author(s).

COVID-19 and Mental Health of Indian Youth: Association with Background Variables and Stress

The coronavirus has become a public health concern of the decade, affecting the economic, social, and psychological stability of the whole world. Having understood the detrimental impact of the pandemic to the mental health of people of all age groups, youth is understood to be the most vulnerable population who receives its direct impact. The broad objective was to study the mental health status of Indian youth and its association with various demographic variables. Psychological stress and mental health was another relationship that was explored. A group of 317 participants between the age group of 19 to 29 voluntarily took part in the online survey. Gender was found to be associated with overall mental health status (p < 0.01) as well its correlates, namely anxiety (p < 0.05), depression (p < 0.05), and loss of behavioral control (p < 0.01). Association between age and loss of positive affect (p < 0.05), number of siblings and loss of behavioral control (p < 0.01), and family environment and overall mental health scores (p < 0.001) were found. Similarly, feeling of restlessness during lockdown (p < 0.001), availability of support (p < 0.001), and feeling the need to consult a mental health professional were associated with the overall mental health score as well as all its sub-scales. Further, there were strong negative correlations between psychological stress and overall mental health scores, as well as that of anxiety, depression, and loss of behavioral control and positive affect sub-scales. The study highlighted the need for psychological support services for the youth population of the country to cope with and adapt to the new situation. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Taylor and Francis Pte Ltd. 2022.

Youth Unemployment, Education and Job Training: An Analysis of PLFS Data in India

This paper highlights the changes in the unemployment rate across different age cohorts among young people in India due to the COVID-19 pandemic. The study observes that the youth unemployment rate increased at a much higher rate in urban areas both for male and female youth during the initial phase of pandemic. To understand the severity of the effects of pandemic on unemployment across different age groups among the youth, this study enquires into the nature and causes of unemployment among them. The probit estimates of unemployment function for the youth reveals that the likelihood of youth being unemployed is less in upper age cohorts within the young age range. An inverse relationship is observed between general education and employment among the youth in the Indian youth labour market. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

The Effect of Sociodemographic Factors on COVID-19 Mortality in Costa Rica: A Geographic Approach

Introduction: The coronavirus disease (COVID-19) has spread among the population of Costa Rica and has had a great global impact. However, there are important geographic differences in mortality from COVID-19 among world regions and within Costa Rica.Objective: To explore the effect of some sociodemographic factors on COVID-19 mortality in the small geo-graphic divisions or cantons of Costa Rica.Methods: We used official records and applied a classical epidemiological Poisson regression model and a geographically weighted regression model.Results: We obtained a lower Akaike Information Criterion with the weighted regression (927.1 in Poisson regression versus 358.4 in weighted regression). The cantons with higher risk of mortality from COVID-19 had a denser population;higher material well-being;less population by health service units and are located near the Pacific coast.Conclusions: A specific COVID-19 intervention strategy should concentrate on Pacific coast areas with denser population, higher material well-being and less population by health service units.

Adverse Effects Post Covid -19 Vaccination and Its Association with Age, Gender and Comorbid Disease in Basrah City Southern of Iraq.

BACKGROUND: Vaccination against COVID-19 virus is the most valuable tool available for protection during the pandemic of coronavirus. The clinical manifestation post-vaccination is a barrier to vaccination for many people in Iraq and worldwide. OBJECTIVE: The objective of this study is identifying various clinical manifestations occurring after receiving vaccines among individuals in Basrah Governorate. Moreover, we examine its association with respondents' demographics and the type of vaccine they received. METHOD: A cross-section study was conducted in Basrah, southern Iraq. Research data were collected through an online questionnaire. The data were analyzed using both descriptive and analytic statistical tools using the SPSS program. RESULTS: Most of the participants (86.68%) received the vaccine. The side effects were reported in 71.61% of vaccinated individuals. Fever and muscle pain were the two most experienced clinical manifestations, while lymph node enlargement and disturbances in taste and/or smell sensations were reported infrequently. Adverse effects were mostly reported with the Pfizer BioNTech vaccine receiver. Females and those in the younger age group also reported a significantly higher incidence of side effects. CONCLUSION: Most adverse effects related to the COVID-19 vaccine were minor and could be tolerated without the need for hospital admission.

Did COVID-19 enlarge spatial disparities in population dynamics? A comparative, multivariate approach for Italy.

A short-term issue that has been occasionally investigated in the current literature is if (and, eventually, how) population dynamics (directly or indirectly) driven by COVID-19 pandemic have contributed to enlarge regional divides in specific demographic processes and dimensions. To verify this assumption, our study run an exploratory multivariate analysis of ten indicators representative of different demographic phenomena (fertility, mortality, nuptiality, internal and international migration) and the related population outcomes (natural balance, migration balance, total growth). We developed a descriptive analysis of the statistical distribution of the ten demographic indicators using eight metrics that assess formation (and consolidation) of spatial divides, controlling for shifts over time in both central tendency, dispersion, and distributional shape regimes. All indicators were made available over 20 years (2002-2021) at a relatively detailed spatial scale (107 NUTS-3 provinces) in Italy. COVID-19 pandemic exerted an impact on Italian population because of intrinsic (e.g. a particularly older population age structure compared with other advanced economies) and extrinsic (e.g. the early start of the pandemic spread compared with the neighboring European countries) factors. For such reasons, Italy may represent a sort of 'worst' demographic scenario for other countries affected by COVID-19 and the results of this empirical study can be informative when delineating policy measures (with both economic and social impact) able to mitigate the effect of pandemics on demographic balance and improve the adaptation capacity of local societies to future pandemic's crises.