scholarly journals Pandemic: the view of a clinical psychologist

2020 ◽  
Vol 26 (3) ◽  
pp. 312-316 ◽  
Author(s):  
A. N. Alekhin ◽  
E. A. Dubinina
Keyword(s):  
Mental Health ◽  
Public Mental Health ◽  
Stress Factors ◽  
Clinical Psychologist ◽  
Negative Consequences ◽  
The Public ◽  
Factors Associated ◽  
Physical Diseases ◽  
Socioeconomic Stress ◽  
Psychological Instruments

Recent studies indicate that COVID-19 pandemic has significant negative consequences for the public mental health. These consequences should be assessed and analyzed in the future, but it is already clear, that mass surveys with the use of standard psychological instruments are not adequate for this purpose. The authors emphasize that all stress factors associated with the pandemic (virtual threat and informational stress, deprivation, socioeconomic stress) should be taken into account and qualitatively studied and expect an increase in the prevalence of stressrelated mental disorders and physical diseases.

scholarly journals COVID-19, psychosocial issues, politics, and public mental health care

2021 ◽  
Vol 51 (2) ◽  
pp. 293-303
Author(s):  
Anthony L Pillay ◽  
Anne L Kramers-Olen
Keyword(s):  
Mental Health ◽  
South Africa ◽  
Health Care ◽  
Mental Health Care ◽  
Health Care Systems ◽  
Mental Health Policy ◽  
Public Mental Health ◽  
The Public ◽  
Care Systems ◽  
Public Mental Health Care

The COVID-19 pandemic heralded challenges that were both significant and unfamiliar, placing inordinate burdens on health care systems, economies, and the collective psyche of citizens. The pandemic underscored the tenuous intersections between public mental health care, politics, economics, and psychosocial capital. In South Africa, the inadequacies of the public health system have been laid bare, and the disproportionate privileges of the private health care system exposed. This article critically considers government responses to the COVID-19 pandemic, the psychosocial correlates of lockdown, politics, corruption, and public mental health policy in South Africa.

scholarly journals Public mental health services in Mumbai

2010 ◽  
Vol 7 (4) ◽  
pp. 97-99
Author(s):  
Ajanta Akhuly ◽  
Mrinmoyi Kulkarni
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Public Mental Health ◽  
Publicly Funded ◽  
Special Significance ◽  
The Public ◽  
Migrant Populations ◽  
Public Mental Health Services ◽  
The World

Mumbai, India's largest city, also has the distinction of being the most populous city in the world. The association between urbanisation and mental illness has been widely documented (Harpham & Blue, 1995, especially pp. 41–60). Mumbai is characterised by dense slums housing large migrant populations facing stressful lives. The state of publicly funded mental health facilities in Mumbai has special significance in this context, since they are the only resource available to a large economic ally vulnerable section of the population. The objective of the present study was to evaluate the public mental health services in Mumbai and to identify areas for improvement.

scholarly journals Impact of COVID-19 on Mental Health: A Longitudinal Study Using Penalized Logistic Regression

2021 ◽  
Author(s):  
Jingyu Cui ◽  
Jingwei Lu ◽  
Yijia Weng ◽  
Grace Y. Yi ◽  
Wenqing He
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Logistic Regression ◽  
Large Scale ◽  
Online Survey ◽  
Missing Values ◽  
Healthcare Providers ◽  
Public Mental Health ◽  
The Public ◽  
Health Related

AbstractThe COVID-19 pandemic has posed significant influence on the public mental health in a stealthy manner. Current efforts focus on alleviating the impacts of the disease on public health and economy, with the psychological effects due to COVID-19 largely ignored. In this paper, we analyze a mental health related dataset from the US to enhance our understanding of human reactions to the pandemic. We are particularly interested in providing quantitative characterization of the pandemic impact on the public mental health, on top of qualitative explorations. We employ the multiple imputation by chained equations (MICE) method to deal with missing values and take the logistic regression with least absolute shrinkage and selection operator (Lasso) method to identify risk factors for mental health. The analyses are conducted to a large scale of online survey data from 12 consecutive weeks, so that the longitudinal trend of the risk factors can be investigated. Our analysis results unveil evidence-based findings to identify the groups who are psychologically vulnerable to COVID-19. This study is useful to assist healthcare providers and policy makers to take steps for mitigating the pandemic effects on public mental health.

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