The South African Economic Reconstruction and Recovery Plan as a response to South African economic crisis by Seshupo Mosala

“…The Covid-19 pandemic has entrenched and exposed South Africa’s inequality. Unemployment is at an all-time high and over half of South Africans, the majority which is African live in extreme poverty. …”
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The diabetes mellitus comorbidity index in European Union member states based on the 2019 European Health Interview Survey by Nóra Kovács, Nour Mahrouseh, Lorenzo Monasta, Angela Andreella, Stefano Campostrini, Orsolya Varga

“…A higher comorbidity index was found in sub-populations exhibiting lower education, unemployment or other labour status, lower income, rural residence, and poor health behaviours including obesity, physical inactivity, and poor diet. …”
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Exploring Inflation Dynamics with the Phillips Curve in Türkiye: Evidence from the Markov Regime Switching Model by Ali İlhan

“…According to the estimation results, the Phillips curve is invalid in both regimes. The unemployment gap is statistically insignificant despite its negative impact on current inflation. …”
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MICROFINANCE BANK SERVICES AND EMPLOYMENT GENERATION OF SMALL AND MEDIUM SCALE ENTERPRISES IN NORTH-CENTRAL NIGERIA by A. A Yahaya, L.W Agboola

“…But with the persistent increase in the rate of unemployment in the country, one begins to marvel whether the prevailing numbers of SMEs are insufficient or poorly managed to address the cahllenge. …”
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Socioeconomic and Demographic Factors for Spousal Resemblance in Obesity Status and Habitual Physical Activity in the United States by Hsin-Jen Chen, Yinghui Liu, Youfa Wang

“…Never-working women’s husbands had lower odds of obesity than employed women’s husbands (OR = 0.69 (95% CI = 0.53–0.89)). Men’s unemployment status was associated with wives’ greater odds of obesity (OR = 1.31 (95% CI = 1.01–1.71)). …”
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Management of calls and threats in digital economy of Russia by V. N. Makhalin, O. M. Makhalina

“…The fourth - threat of mass unemployment owing to introduction and development of IT technologies. …”
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Who sends money home: Fiscal consequences of the territorial representation in Serbia by Vučićević Dušan, Bursać Dejan

“…For this purpose, data on the residence of MPs was compared with the levels of transfers, subsidies and amount of local expenditures, while the models are additionally controlled with various variables including size of municipality, development level, unemployment rate, share of elderly population, as well as other developmental and societal factors. …”
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Chronic Kidney Disease in the Eastern Region of the State of Mexico: Implication of the Social Determinants of Health by Luis Enrique Hernández Gamundi, Donovan Casas Patiño, Alejandra Rodríguez Torres, Angélica Heredia Sánchez

“…<br /><strong>Results:</strong> the voice of the disease is relegated to be devastating in its attention and way of living; income due to constant travel, medical care costs and unemployment conjugates a deadly trap that conditions the economic fragmentation of the patient; public policies are unattainable -referring to the transplant program-; culture shows a religious symbolism of protection to the health coupled with social stigmatization for suffering chronic kidney disease CKD; the health system transits in lack of service guarantees -dialysis, hemodialysis, lack of supplies-; gender shows equality in care but overload of women in patient care. …”
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Psychosocial Factors in End-Stage Kidney Disease Patients at a Tertiary Hospital in Australia by Charan Bale, Alexandra Douglas, Dev Jegatheesan, Linh Pham, Sonny Huynh, Atul Mulay, Dwarakanathan Ranganathan

“…Younger age, referral prior to start of dialysis, and unemployment were significant independent predictors of increased risk of adjustment issues (p=0.004, <0.001, and =0.018, resp.). …”
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An assessment strategy for the employability of HRM graduates in South Africa by Tendency Beretu, Warren P. Charles

“…Orientation: The unemployment problem in South Africa has been explored from both supply and demand perspectives, but there is a gap in understanding industry expectations on graduate competence and market readiness. …”
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DIGITAL TRANSFORMATION AND THE USE OF ARTIFICIAL INTELLIGENCE IN SOCIAL INSURANCE AND INSURANCE by Elizaveta Pletneva, Daria Zagorska

“…The downsides may include data confidentiality issues, the exclusion of the human factor, the risk of algorithm bias, implementation complexity and high costs, and the threat of unemployment.…”
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Yorùbá Literary Artists on Youths and Parenthood by Olufadekemi Adagbada, Olatunde Adeleye Adeyemo, Ejitoyosi O. Salami

“…With these views; exemplified with excerpts from randomly selected Yoruba dramatic, prosaic, and poetic texts, this essay submits that improper parenting, peer group pressure, excessive drive for material wealth, unemployment, poverty, inaccessibility to social and financial aids as experienced by the youths, are some of the reasons why the future appears bleak for Nigeria. …”
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Assessing Romania's progress towards Sustainable Development Goals 8, 9, 10 and 12: a comparative analysis in the EU context by Irina Puiu

“…Romania has made notable progress in reducing unemployment and increasing gross national income per capita, contributing to positive trends in economic growth. …”
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Econometric analysis of supply chain disruptions: financial performance in the European automotive sector by Viviane Naimy, Tatiana Abou Chedid, Nicolas Bitar

“…We examined the impact of SCD on return on assets (ROA), return on equity (ROE), and stock returns (SR), while controlling for factors such as age, leverage, size, economic growth, inflation, and unemployment. Our findings revealed that disruptions related to industrial materials and iron prices (IRAW) positively influence stock market performance, with a 99.5% increase in SR per 1% rise in IRAW, suggesting increased demand. …”
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Disability among attendees with schizophrenia in a Nigerian hospital: further evidence for integrated rehabilitative treatment designs by Andrew Toyin Olagunju, Dapo Adebowale Adegbaju, Richard Uwakwe

“…In addition, high level of disability was significantly associated with younger adults in the age group 18-44 years (P=0.007), unemployment status (P=0.003), remittance source of income (P=0.034) and ethnicity (P=0.017); conversely, less number of children (P=0.033), less amount spent on treatment (P&lt;0.001) and lower BPRS score (P&lt;0.001) correlated negatively with high level of disability. …”
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LEGAL MIGRATION – RIGHTS AND BENEFITS IN THE EUROPEAN SOCIAL SECURITY SYSTEM by Nicoleta ANDRICA, Andreea-Florina FORA

“…EESSI (Electronic exchange of social security information) is use in different branch of social security such as unemployment, old age pension, accidents at work or sickness benefits, family benefits, or maternity and paternity benefits. …”
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Nationally representative epidemiological study of social anxiety disorder from India by Satish Suhas, Pavithra Jayasankar, Rahul Patley, Narayana Manjunatha, Girish N. Rao, Gopalkrishna Gururaj, Mathew Varghese, Vivek Benegal, NMHS National Collaborators group

“…Factors, such as male gender, unemployment, and living in urban areas, were associated with higher odds of SAD, while the elderly had lower odds. …”
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Determinants of Online Local Budget Transparency in Croatia and Slovenia by Katarina Ott, Mihaela Bronić, Branko Stanić, Maja Klun, Jože Benčina

“…The results indicate that greater size of the population, higher administrative capacity and lower unemployment rate in individual local governments significantly contribute to higher levels of OLBT. …”
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Patterns among factors associated with myocardial infarction: chi-squared automatic interaction detection tree and binary logit model by Esra Bayrakçeken, Süheyla Yarali, Uğur Ercan, Ömer Alkan

“…Results The analysis identified several factors associated with an increased likelihood of MI, including hyperlipidemia, hypertension, diabetes, chronic disease status, male gender, older age, single marital status, lower education level, and unemployment. Marginal effects revealed that elevated hyperlipidemia levels increased the probability of MI by 4.6%, while the presence of hypertension, diabetes, or depression further heightened this risk. …”
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Paternal Social Determinants of Childhood Mortality in Zimbabwe by Laston Gonah, Dumisani Sibanda, Sibusiso C Nomatshilla

“…Results: Younger paternal age, lower level of education, lower wealth index, unemployment, and rural geographical location are important contributing factors for childhood mortality, and these factors were found to be interconnected and interrelated in producing the observed outcomes. …”
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