Fuglsangholman2960

This paper revisits Jessop's governance of welfare framework, suggesting that in the post-financial crisis era of austerity we need to look again at its analytical dimensions. The paper reformulates Jessop's Schumpeterian Welfare Postnational Regime ideal-type framework through critique, and then applies its reformulated Galbrathian, Affluent Postnational Oligarchy ideal-type to the case of the English NHS to present a new political economy of health.Emerging perspectives of health as individualized and privatized capital seem promising to shed light on the construction of individual health in the face of the growing individualization of healthcare. This article reviews extant perspectives of health as capital, reflecting upon how a conceptualization of health capital might be conceived by two of the main contrasting traditions human capital theory affiliated with the Chicago School of Economics and Bourdieusian concepts of social field and capital. Arguing that a Bourdieusian perspective is potentially more fruitful to capture the importance of social and cultural dimensions in the construction of individual health, this article arrives at a conceptualization of health capital as the aggregate of the actual or potential resources possessed by a given agent that have the capacity to affect the position of agents in the social field of health. Drawing on Bourdieu's conceptualization of forms of capital, this article discusses the efficacy, the legitimation, and the positioning of health capital, uncovering its potential for understanding contemporary trends in health practices and health discourse.The COVID-19 pandemic brings to light many areas the field of counselling and psychotherapy may need to address in future research. We outline several issues stemming from or exacerbated by the pandemic and offer suggestions for future research to address the mental health needs of those impacted. Our suggestions focus on five domains (a) the health and well-being of helping professionals, (b) the infodemic, (c) discrimination and minority stress, (d) spiritual and existential dynamics in mental health and (e) couple and family stress and resilience. We aim to provide a multi-systemic perspective of mental health and well-being in the time of COVID-19, as well as encourage current and future studies to incorporate these suggestions to advance the health and well-being of our communities through evidence-based treatment approaches.The experiences and challenges of psychotherapists working remotely during the coronavirus pandemic were explored using a mixed-methods approach. An online survey completed by 335 psychotherapists produced both quantitative and qualitative data with the latter being subject to a reflexive thematic analysis. Large numbers of therapists were using video-link platforms and the telephone to conduct client sessions. A majority of therapists felt challenged by remote working, with reduced interpersonal cues, feelings of isolation and fatigue, and technical issues frequently cited concerns. At the same time, most therapists considered that remote working had been effective and that clients were comfortable with the process. Two-thirds of therapists indicated that remote working would now become core business for them. The great majority of therapists thought that remote working skills should be part of formal therapy trainings.We consider how the prolonged, complex and uncertain aftermath of the COVID-19 crisis will present challenges and opportunities for counselling and psychotherapy. Increased mental strain on populations, individuals and professionals is likely to be compounded by further constraints in therapeutic resources. Nevertheless, emerging needs and priorities will offer ground for systems thinking in linking the application of a range of therapeutic frameworks, theories to address global challenges, integration of counselling and psychotherapy into new sectors, service models for the most vulnerable, use of digital approaches, support mechanisms for professionals and interdisciplinary research.During the pandemic, the stock markets of developed countries have reported a jittery trend. The current study focuses on the impact of COVID-19 on Pakistani stock market, which belongs to a developing economy. The findings of current study have contradicted with the previous studies, which reported an adverse effect of COVID-19 on developed stock markets. We conclude that KSE-100 index has confirmed positive increment in stock returns. In addition, by using three predicted scenarios of COVID-19, we report the significant increase in KSE-100 index. However, it seems clear that the timely intervention of Pakistani government has safeguard the investors from utter disaster of stock market.Given the palpable fear generated by the threat of COVID-19 pandemic and the bearish sentiments of stock investors, this study represents one of the first efforts towards testing the effect of COVID-19 on the stock market returns-inflation relationship. Specifically, the study investigates the stock market returns-inflation nexus by controlling for the effect of COVID-19 pandemic in Nigeria from February 27, 2020 to April 30, 2020. Using the estimation procedures based on the generalized autoregressive conditional heteroskedasticity type models (GARCH (1,1), the GJR-GARCH), and the accounting innovation tests, our results show that COVID-19 increases volatility and distorts the positive relationship between inflation and stock market returns, which tends to negate the Fisher's hypothesis. In addition, the results reveal that the negative effects of COVID-19 on the market returns and its disruption to the stock market returns-inflation relationship may not die away rapidly considering that the duration of the pandemic is unknown. Further, these findings are validated by the innovation accounting tests. Therefore, the study presents to policymakers the consequences of COVID-19 and the urgent need to strengthen the market through collaborative efforts.A very special type of pneumonic disease that generated the COVID-19 pandemic was first identified in Wuhan, China in December 2019 and is spreading all over the world. The ongoing outbreak presents a challenge for data scientists to model COVID-19, when the epidemiological characteristics of the COVID-19 are yet to be fully explained. The uncertainty around the COVID-19 with no vaccine and effective medicine available until today create additional pressure on the epidemiologists and policy makers. In such a crucial situation, it is very important to predict infected cases to support prevention of the disease and aid in the preparation of healthcare service. Transmembrane Transporters inhibitor In this paper, we have tried to understand the spreading capability of COVID-19 in India taking into account of the lockdown period. The numbers of confirmed cases are increased in India and states in the past few weeks. A differential equation based simple model has been used to understand the pattern of COVID-19 in India and some states. Our findings suggest that the physical distancing and lockdown strategies implemented in India are successfully reducing the spread and that the tempo of pandemic growth has slowed in recent days.