scholarly journals Individual differences in emotional intelligence skills of people with visual impairment and loneliness amid the COVID-19 pandemic

2021 ◽  
pp. 026461962110138
Author(s):  
Hyung Nam Kim ◽  
Sam Jotham Sutharson

In response to the novel coronavirus (COVID-19) pandemic, public health interventions such as social distancing and stay-at-home orders have widely been implemented, which is anticipated to contribute to reducing the spread of COVID-19. On the contrary, there is a concern that the public health interventions may increase the level of loneliness. Loneliness and social isolation are public health risks, closely associated with serious medical conditions. As COVID-19 is new to us today, little is known about emotional well-being among people with visual impairment during the COVID-19 pandemic. To address the knowledge gap, this study conducted phone interviews with a convenience sample of 31 people with visual impairment. The interview incorporated the University of California, Los Angeles (UCLA) Loneliness Scale (version 3) and the trait meta-mood scale (TMMS) to measure loneliness and emotional intelligence skills, respectively. This study found that people with visual impairment were vulnerable to the feeling of loneliness during the COVID-19 pandemic and showed individual differences in emotional intelligence skills by different degrees of loneliness. Researchers and health professionals should consider offering adequate coping strategies to those with visual impairment amid the COVID-19 pandemic.

Author(s):  
Sindre August Horn ◽  
Mathias Barra ◽  
Ole Frithjof Norheim ◽  
Carl Tollef Solberg

In Norway, priority for health interventions is assigned on the basis of three official criteria: health benefit, resources, and severity. Responses to the COVID-19 pandemic have mainly happened through intersectoral public health efforts such as lockdowns, quarantines, information campaigns, social distancing and, more recently, vaccine distribution. The aim of this article is to evaluate potential priority setting criteria for public health interventions. We argue in favour of the following three criteria for public health priority setting: benefit, resources and improving the well-being of the worse off. We argue that benefits and priority to the worse off may reasonably be understood in terms of individual well-being, rather than only health, for public health priority setting. We argue that lessons from the COVID-19 pandemic support our conclusions. Keywords: COVID-19, Prioritarianism, Priority Setting, Public Health, Severity


Author(s):  
Luiz Augusto Cassanha Galvao ◽  
Volney Câmara ◽  
Daniel Buss

The relationship between environment and health is part of the history of medicine and has always been important to any study of human health and to public-health interventions. In Latin America many health improvements are related to environmental interventions, such as the provision of better water and sanitation services. Latin America’s development, industrialization, and sweeping urbanization have brought many improvements to the well-being of its populations; they have also inaugurated new societies, with new patterns of consumption. The region’s basic environmental-health interventions have needed to be updated and upgraded to include disciplines such as toxicology, environmental epidemiology, environmental engineering, and many others. Multidisciplinary and inter-sector approaches are paramount to understanding new profiles of health and well-being, and to promoting effective public-health interventions. The new social, economic, labor, and consumption aspects of modern Latin American society have become more and more relevant to understanding the complex interactions in the region’s social, biological, and physical environment, which are essential to explaining some of the emerging and re-emerging public-health problems. Environmental health, as concept and as intervention, is simple and easily understood, but no longer sufficient to achieve the levels of health and well-being expected and required by these new realities. Many global changes such as climate change, biodiversity loss, and mass migrations has been identified as main cause of ill health and are at the center of the sustainable development challenges in general, and many are critical and specific public health. To face this development, other frameworks have emerged, such as planetary health and environmental and social determinants of health. Public health remains central to some, such as the improved environmental-health agenda, while others assign public health a relative position in a variety of overarching frameworks.


2021 ◽  
Author(s):  
Lao-Tzu Allan-Blitz ◽  
Fred Hertlein ◽  
Jeffrey D. Klausner

Recent studies have identified notable disparities in SARS-CoV-2 infection risk among ethnic minorities. We evaluated SARS-CoV-2 test results from individuals presenting for testing in Los Angeles between June-December, 2020. We calculated prevalence ratios for various employment categories. Among 518,914 test results, of which 295,295 (56.9%) were from individuals reporting Hispanic ethnicity, SARS-CoV-2 positivity was 16.5% among Hispanic individuals compared to 5.0% among non-Hispanic individuals (p-value<0.01). The prevalence ratios comparing Hispanic and non-Hispanic individuals was highest for members of the media (PR=6.7; 95% CI 4.3-10.4), government employees (PR=4.0; 95% CI 3.3-4.9), and agricultural workers (PR=4.0; 95% CI 3.2-5.0). Such heterogeneity warrants further investigation in order to develop targeted public health interventions towards specific drivers of SARS-CoV-2 transmission.


2002 ◽  
Vol 29 (5) ◽  
pp. 277-284 ◽  
Author(s):  
JAMES L. CHEN ◽  
DULMINI KODAGODA ◽  
A. MICHAEL LAWRENCE ◽  
PETER R. KERNDT

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pooja Sengupta ◽  
Bhaswati Ganguli ◽  
Sugata SenRoy ◽  
Aditya Chatterjee

Abstract Background In this study we cluster the districts of India in terms of the spread of COVID-19 and related variables such as population density and the number of specialty hospitals. Simulation using a compartment model is used to provide insight into differences in response to public health interventions. Two case studies of interest from Nizamuddin and Dharavi provide contrasting pictures of the success in curbing spread. Methods A cluster analysis of the worst affected districts in India provides insight about the similarities between them. The effects of public health interventions in flattening the curve in their respective states is studied using the individual contact SEIQHRF model, a stochastic individual compartment model which simulates disease prevalence in the susceptible, infected, recovered and fatal compartments. Results The clustering of hotspot districts provide homogeneous groups that can be discriminated in terms of number of cases and related covariates. The cluster analysis reveal that the distribution of number of COVID-19 hospitals in the districts does not correlate with the distribution of confirmed COVID-19 cases. From the SEIQHRF model for Nizamuddin we observe in the second phase the number of infected individuals had seen a multitudinous increase in the states where Nizamuddin attendees returned, increasing the risk of the disease spread. However, the simulations reveal that implementing administrative interventions, flatten the curve. In Dharavi, through tracing, tracking, testing and treating, massive breakout of COVID-19 was brought under control. Conclusions The cluster analysis performed on the districts reveal homogeneous groups of districts that can be ranked based on the burden placed on the healthcare system in terms of number of confirmed cases, population density and number of hospitals dedicated to COVID-19 treatment. The study rounds up with two important case studies on Nizamuddin basti and Dharavi to illustrate the growth curve of COVID-19 in two very densely populated regions in India. In the case of Nizamuddin, the study showed that there was a manifold increase in the risk of infection. In contrast it is seen that there was a rapid decline in the number of cases in Dharavi within a span of about one month.


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