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Achieving a just transition to a low carbon economy and society, in the wake of the COVID-19 pandemic, is arguably one of the greatest policy challenges facing governments. It is also of deep concern to businesses, employees and the organisations that represent them. Much of the focus, particularly at policy level, has been on the potential of this transition to create new jobs especially through the growth of renewable energy and clean technology. In this paper, we argue that this focus on ‘green jobs', and in particular new green jobs, grossly underestimates the skills needs of a future workforce able to deliver a transition to a more sustainable low-carbon economy. The focus of this study is to gain an understanding of what skills are required to support the transition beyond these sectors. It critically reports on the results of a series of in-depth interviews with senior managers in key organisations within Cambridgeshire and Peterborough, UK. It sheds a light on the significant employment transitions taking place in organisations who are not specifically focused on delivering ‘green' products or services. It finds widespread acknowledgement of the importance of a green recovery, albeit predicated by economic growth. The key skills needs reported, at all levels were likely to be ‘soft' transferrable skills rather than ‘hard' technical skills. COVID-19 was recognised as both a disrupter and as a catalyst for a green transition.
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Social isolation has been a growing concern since the onset of the COVID-19 pandemic, disproportionately impacting older adults. Social isolation can impact the physical, mental, and emotional health of older adults. The purpose of this study was to examine coping strategies of older adults living in senior living communities, as well as the supportive efforts of the team members working in such communities, to determine best practices for combating social isolation for older adults. This qualitative study was guided by the research question: How do older adults perceive loneliness, social isolation, and social connectedness living in senior living communities? Guided by the theoretical frameworks of socioemotional selectivity theory (SST) and strength and vulnerability integration model (SAVI), this study explored how diminished time horizons impact the prioritization of social connections. This qualitative study collected data through semi-structured interviews from older adults living in senior living communities in the United States. Several themes emerged from the data including Parameters of Social Connection, Dining Room as a Hub of Socialization, Time Horizon Awareness and Compensation, Strategies of Connection, and Loss of Spouse. Several implications for best practices are also discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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This study aimed to find out the level of stress and coping methods among elderly in Sulaimanya city during the pandemic COVID-19. Through the snowballing sampling method, 394 elders were included to this study. After validation, two scales were used in this study;stress subscale from Depression, Anxiety and Stress Scale (DASS-21) and a culture-bound scale for determining coping methods. The results of this study showed that participants experienced a mild level of stress. Male participants, elders who live with their family, unvaccinated elders, physically passive elders have had higher stress level than female, elderly home, vaccinated, physical active elders. The findings also indicated that spiritual connection was the most common coping method used by the sample. Results of this study are the first and foremost way to share elder's unexpressed messages;it also can be a way for verbalizing their unspoken feelings. These results may also inform the elder's caregivers that elder's stress level and illness anxiety was not very high, strengthening their social support and spiritual connection may help them to reduce their distress into a lesser degree.
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Background: The severity of COVID-19 infection has an increasing trend in the elderly, which contributes to the high morbidity and mortality rates in this population. Aging itself is a prominent risk factor for severe disease and death from COVID-19. Case Description: This case report a 71-year-old woman who complained of shortness of breath for 3 days before being admitted to the hospital. Bilateral consolidation and increased bronchovascular pattern were found on chest radiograph, and a positive SARS-COV2 nasopharyngeal swab PCR test result was noted. This patient was diagnosed with confirmed severe manifestation of COVID-19, community-acquired pneumonia and type 1 respiratory failure, as well as type II diabetes mellitus and suspicion of acute gastritis. The results of the geriatric status assessment were moderate functional status, risk of malnutrition, and moderate risk of deep vein thrombosis (DVT). This patient underwent treatment in accordance with the COVID-19 protocol along with management for geriatric status improvement. The patient was given permission to return home after 14 days of treatment, during which time her health had improved and her functional status had changed to moderate dependency. During follow-up, the patient continued to receive therapy. She is still being observed and future evaluations will be conducted. Conclusion: The increased susceptibility of the elderly to COVID-19 infection is caused by various factors. A burden of death and long-term disability brought on by this pandemic may be lessened by new or modified therapies that target aging-associated mechanisms. Therefore, COVID-19 case management in this population should be done with a comprehensive approach.
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The COVID-19 pandemic has accelerated the shift from traditional office setups to remote working, driven by information and communication technology advancements. As a result, the metaverse concept is gaining popularity in modern organizations, allowing users to create avatars for virtual work, socializing, and other activities. While its corporate adoption is rising, managers must acquire the necessary skills to integrate and utilize the technology successfully. However, technological progress can be disruptive, making it essential to weigh the benefits and drawbacks.Methodology: This proposal aims to investigate metaverse skills that managers require for remote working using virtual realities, assessing the positive and negative risks for employees and management within business organizations. Using secondary data from reliable online databases, a qualitative research approach was used to understand the pros and cons of the metaverse and remote work.Purpose: The study examines the essential skills managers need to adopt metaverse virtual realities for remote working and how employees and organizations can implement it while maintaining a positive work environment. Keywords such as metaverse, remote working, virtual reality, and information and communication technology are critical. As technology evolves, managers and organizations must consider the metaverse's inherent advantages and disadvantages to ensure a successful transition to remote.Research Questions: What are the necessary skills needed by managers towards the adoption of metaverse virtual realities for remote working? How can employees and organizations adapt to implementing metaverse for remote work and sustain a positive work environment? © 2023 IEEE.
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Identifying gaps and overlaps in the Introduction of Philosophy of the Human Person (IPHP) curriculum in the Philippines is a great concern that makes it relevant. This ascertains its scopes based on sufficiency in terms of themes, goals, and aims;principles and criteria used for content selection;and proposing a COVID-19 Model for future revision. Using content analysis, it utilized pre-determined codes on the themes, goals, and aims of social studies;and the principles and criteria for content selection. Four clusters of themes were sufficiently integrated with the IPHP curriculum in a spiral progression;three other clusters showed gaps with no integration. The 10 social studies goals were sufficiently integrated that remains consistent in a semester with a decrease in distribution due to is spiraling complexities of contents. Six aims were sufficiently integrated with no existing gap with a negligible overlap in personal development. The principles of the curriculum were sufficiently used as well. As the semester progresses, the utilization of these principles decreases toward the second quarter, which needs attention for a future revision, using a COVID-19 Model. These results have a practical impact on curriculum makers to see the nitty-gritty in crafting or revising a curriculum to ensure the balance of content integration, realignment of concepts and skills, and continuity. These results also promote social impact in understanding our humanity as juxtaposed in the IPHP taught in the senior high school curriculum in the Philippines.
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Background: This study investigated the association of frequency of going out with physical activity, low back pain, and loneliness among urban Japanese community-dwelling older adults affected by the coronavirus disease 2019 pandemic. Methods: This cross-sectional study recruited older adults aged 65 and over residing in apartment buildings in an urban area of Japan as participants. The questionnaire comprised items on participants' frequency of going out, musculoskeletal pain, physical activity, mobility, loneliness, and sociodemographic characteristics. Multiple logistic regression analysis was performed to explore the associations of decreased frequency of going out (less than once a week) during the pandemic with musculoskeletal pain, physical activity, and loneliness after controlling for age, sex, living alone, comorbidity, and social activity as confounding factors. Results: This study analyzed 236 older adults (mean age: 75.5 years;females 54.2%) whowent out more than two to three days a week before the pandemic. Participants who went out less than once a week during the pandemic (14%) had more arthritis than those who went out more. They also had a higher prevalence of reduced physical activity, low back pain, gait disability, and loneliness. Additionally, decreased frequency of going out was associated with lower physical activity [adjusted odds ratio (OR) = 3.91, 95% confidence interval (CI): 1.78-8.61], low back pain (OR = 2.79, 95% CI: 1.08-7.24), and loneliness (OR = 1.50, 95% CI: 1.14-1.98). Conclusions: This study indicated that reduced physical activity, loneliness, and low back pain are associated with a decreased frequency of going out during the pandemic among older adults.
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IMPACTThis article's conceptual model provides a holistic lens for exploring the work environment of emotional labour (EL). Research has demonstrated high levels of burnout and mental health issues among EL workers. The negative outcomes associated with EL work are even more pronounced in the present Covid-19 landscape. By understanding EL workers' cognitive processes, organizations stand a better chance of promoting work engagement, well-being, and effective organizational functioning. Practically, organizations may have to provide training and support to line managers to enable them to evolve within the same mindset as EL workers. Senior managers also have to exhibit visible support to workplace initiatives to allow for consistent implementation of job resources.
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Background: The COVID-19 pandemic has had a significant impact on the mental health of older people. One concern is the exposure to a lot of pandemic-related information without any evidence-based background through the media and social networks. This study aimed to examine the effect of exposure to such information on the mental health of older people. Methods: The study is a cross-sectional correlational study. Sampling was focused on selecting older people through a systematic sample according to a random starting point and with a fixed, periodic interval, between late 2020 and early 2021, with a total of 200 participants age above 60 considered as older people. Results: We found that a significant percentage of older people had a high level of clinical symptoms/distress, according to the General Health Questionnaire (GHQ) scales. These results show that being exposed COVID-19 information from the media during the pandemic is a risk predictor for mental health/distress, GHQ-28 scores, (OR ExpB = 2.11, p =0.001). Similar results were found for Media Info (OR ExpB = 1.37, p =0.008). For each point increase in media information, the risk for general mental health problems increases 1.37 times. Conclusion: Through the results it was clear that older people are at risk of mental health problems, and being exposed to the infodemic increased this risk significantly, as well as being exposed to media where elevated risk of death from SARS-CoV-2 for older people was reported.
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This book broadens the visioning on new care environments that are designed to be inclusive, progressive, and convergent with the needs of an aging population. The contents cover a range of long-term care (LTC) settings in a single collection to address the needs of a wide audience. Due to the recent COVID-19 pandemic, rethinking the spatial design of care facilities in order to prepare for future respiratory and contagious pathogens is one of the prime concerns across the globe, along with social connectedness and autonomy in care settings. This book contributes to the next generation of knowledge and understanding of the growing field of the design of technology, programs, and environments for LTC that are more effective in infection prevention and control as well as social connectedness. To address these issues, the chapters are organized in four sections: Part I: Home- and community-based care;Part II: Facility-based care;Part III: Memory care and end-of-life care;and Part IV: Evidence-based applied projects and next steps. (Re)designing the Continuum of Care for Older Adults is an essential resource for researchers, practitioners, educators, policymakers, and students associated with LTC home and healthcare settings. With diverse topics in theory, substantive issues, and methods, the contributions from notable researchers and scholars cover a range of innovative programming, environments, and technologies which can impact the changing needs and support for older adults and their families across the continuum of care. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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The physical and mental health of older adults is a critical issue that is often overlooked. With the recent increase in the number of people infected with the new variants of coronavirus, we are facing several problems, including a dearth of high-quality medical care. iAssist aims to be a platform that primarily focuses on the social benefit of promptly delivering medical aid to the elderly in our nation. It enables a variety of functions, such as doctor appointments, medicine orders, and lab appointments under one roof, with the goal of assisting caregivers, such as family members and healthcare professionals. Additionally, it offers a chatbot component that uses a social media messaging service, to inform users of new developments and assist in swiftly answering user questions. The technology stack used in iAssist makes the platform efficient and user-friendly for everyone involved. © 2022 IEEE.
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Deaths from COVID-19 are increasing in patients with comorbidities. One of the most common comorbidities is diabetes mellitus. The researchers wanted to see how having diabetes affected the mortality rate of COVID-19 participants. This investigation is a case control observational analytical study. Different types of people, called "cases", and "controls", complete the research sample. Each group had 68 responders, for a grand total of 136. Medical records from COVID-19 patients treated at Airlangga University Hospital, Surabaya, between March 2020 and September 2021 serve as the study's secondary data source. The purpose of this study's data analysis is to calculate an odds ratio. Patients with COVID-19 with concomitant diabetes mellitus had an increased risk of death, and this risk increased with age, gender, and COVID-19 symptoms. In contrast, education, occupation, and laboratory results were not significantly related to mortality among COVID-19 individuals with concomitant diabetes mellitus (GDA status). The results of this study show that COVID-19 patients with concomitant diabetes mellitus are at a higher risk of death if they are over the age of 65, if they are male, and if they have severe symptoms.
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Along with hitting certain regions of the country, the COVID-19 outbreak substantially impacted all academic institutions, prompting the traditional classroom structure to be adjusted immediately. Governments have shifted to a virtual learning environment to alleviate separation from educational activities and boost involvement. The primary objective of this research is to examine the different learning techniques used by senior high school students at a Philippine University when they engage in online learning. This study investigates the underlying pedagogies and instructional designs employed in the production and delivery of online courses. Numerous challenges, including infrastructure and school readiness for a rapid transition to distant education, would develop due to the rapid transformation in education. The researchers employed a descriptive technique in conducting this study and set survey questions to collect data from respondents. The non-probability sampling approach is used in this study, and the results are analyzed using a 5-point Likert scale to determine the mean and standard deviation. The study's results indicate that although students are dissatisfied with the online setting due to its performance differences from the traditional approach, they believe the course material to be fascinating and relevant for the future. It is also indicated that the online learning materials have a significant impact and are convenient to their education. The researchers recommend that institutions arrange asynchronous and synchronous sessions throughout the week and that institutions pay more attention to course design. Finally, students should investigate the school's potential for online instruction. © 2023 IEEE.
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The world is facing a serious viral infection caused by the new Severe Acute Respiratory Syndrome Coronavirus 2. We aimed to evaluate and map the high-risk clusters of COVID-19 in the State of Alagoas, a touristic area in northeastern Brazil, after two years of pandemic by a population-based ecological study, using COVID-19 cases reported in the State of Alagoas, between March, 2020 and April, 2022. We performed a descriptive and statistical analysis of epidemiological data. We then map high-risk areas for COVID-19, using spatial analysis, considering the incidence rate by municipality. 297,972 positive cases were registered;56.9% were female and 42.7% aged between 20 and 39 years old. Men (OR = 1.59) and older than 60 years old (OR = 29.64) had a higher risk of death, while the highest incidence rates of the disease occurred in the metropolitan region. Our data demonstrate the impact of COVID-19 in the State of Alagoas, through the two years of pandemic. Although the number of cases were greater among women and young adults, the chance of death was greater among men and older adults. High-risk clusters of the disease initially occur in metropolitan cities and tourist areas.
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PurposeTo cater to the senior tourist market, it is essential to comprehend the factors motivating and deterring them from international travel post-COVID-19. This study aims to focus on senior citizens' destination choice intentions and aims to develop a model that prioritizes positive and negative factors leading to international travel destination choices. It uses push-pull factors, perceived travel risks (PTRs) and perceived travel constraints (PTCs). Design/methodology/approachDecision-making trial and evaluation laboratory (DEMATEL) and fuzzy technique for order of preference by similarity to ideal solution (Fuzzy TOPSIS) are two multi-criteria decision-making (MCDM) techniques used to identify connections between variables and determine their relative importance in the decision-making model. FindingsDEMATEL found push and pull factors are "effects" while PTCs and PTRs are "causes" affecting senior citizens' destination choices. Push factors and PTCs have a greater impact than pull factors and PTRs. Fuzzy TOPSIS highlighted "improving health and wellness" and "self-fulfillment and spirituality" as key push factors, "health safety and security quotient" as the most important pull factor, and "interpersonal constraints" as the most critical PTC. Finally, "health risks" is the top PTR. Originality/valueThis paper adds to the tourism literature by looking at the relationship between senior tourists' motivation, PTRs and PTCs and showing how the subfactors affect their choice of destination rank. The data analysis techniques used in this study are also novel, having never been used before in senior tourism research. Finally, even though there is a lot of research on senior tourism, not much is known about how Indian senior tourists act. In light of this study's findings, practical recommendations were offered to tourism stakeholders worldwide, interested in tapping into the market of Indian outbound senior tourists or repositioning product or destination offerings to take this promising market or similar markets into account.
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Objective: To analyze the epidemic characteristics of coronavirus disease 2019 (COVID-19) cases aged 60 years or older during the outbreak epidemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant in Sanya City, Hainan Province, August-September 2022, and to provide scientific and effective basis for formulating strategies for the prevention and treatment of COVID-19 in the elderly in the future. Methods: The data of 1 785 COVID-19 cases aged 60 years reported from August 1 to September 8, 2022 in Sanya City, and 537 local COVID-19 inpatients aged 60 years treated in Sanya Central Hospital were collected and analyzed using WPS Office 2018 software for data cleaning, database assistance, and drawing, and SPSS 22.0 software was used to statistically describe and analyze the counting data. Results: A total of 1 785 local COVID-19 cases aged 60 years were reported in China's Disease Prevention and Control Information System, including 1 509 confirmed cases (84.54%) and 276 asymptomatic cases (15.46%). Of the confirmed cases, 1 448 were mild cases (95.96%), 40 were common cases (2.65%), 10 were severe cases (0.66%), and 11 were critical cases (0.73%), and no deaths were reported. The ratio of male to female was 0.88:1. The youngest was 60 years old, the oldest age was 107 years old, with a median age of 67 years old. Most of them (1 559 cases, 87.34%) were non-social employed personnel. Among them, 952 (53.33%) were from Tianya District and 733 (41.06%) from Jiyang District. Among the 537 COVID-19 elderly infected patients hospitalized in Sanya Central Hospital, infected patients with underlying diseases accounted for 287 (53.45%) cases of hypertension, diabetes and other types of basic diseases (chronic kidney disease, hyperlipidemia, chronic gastritis, gastric ulcer, etc.), and there were serious infections. Conclusions: Most of the elderly infected with Omicron variants were mild cases with few symptoms, but the elderly infected with Omicron variants were difficult to recover or even worsen the condition due to old age and underlying diseases. Therefore, by analyzing the various aspects of elderly infected cases, scientific and effective basis can be provided to prevent and control the epidemic situation in the future, and reduce the occurrence of severe, critical and death cases of COVID-19 in the elderly.
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Objective: Coronavirus disease-2019 (COVID-19) is a newly emerging infectious disease that has become a global pandemic. This study aimed to identify the risk factors at presentation to predict intensive care unit (ICU) admissions. Materials & Methods: This retrospective observational study recruited 188 confirmed laboratory COVID-19 patients who were hospitalized in Jidhafs Maternity Hospital (JMH) from 1st June to 5th July 2020. Univariate and multivariate analyses were used to Explore risk factors associated with the increased risk of ICU admission. Results: The study revealed that older age (>60 years old) (16[38.1%], P=0.044), male gender (30 [40.0%], P=0.000) were significantly associated with the increased risk of ICU admissions. The most prevalent symptoms in admission were myalgia (13[40.6%], P=0.035), fever (39[34.2%], P=0.002) and cough (37[31.4%], P=0.032). In addition, raised serum level of alanine amino-transferase (ALAT) (34.7% vs. 20.7%, P=0.033), D-dimers (30.7% vs 12.2%, P=0.012), lactate dehydrogenase (LDH) (31.6% vs 0.0%, P=0.025) and ferritin (37.7% vs 16.7%, P=0.011) found to be important predictor of ICU admission. Conclusion: The finding indicates that older age, male gender, with increased alanine transferase (ALT), increased lactate dehydrogenase (LDH), high D-dimer and high ferritin was associated with an increased risk of ICU admissions. Identification of such factors will help to detect people who are more likely to develop severe COVID-19 disease and will help physicians to determine if patients need regular health care or ICU admission.
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Introduction: Coronavirus infection is a disease that causes respiratory failure and complications in certain groups of people, leading to death. The factors associated with the severe course of COVID-19 have been fairly well studied by now;at the present stage, it is necessary to search for and study them in separate groups of people that differ in age, gender, ethnicity, the presence of background diseases, etc. to develop more personalized approaches to severe disease prevention. Background: To conduct a comparative analysis of the factors associated with the severe course of COVID-19 in people under and over 60 years of age and evaluate their prognostic significance in combination of factors. Materials and methods: A retrospective analysis of the clinical and laboratory parameters of 812 COVID-19 patients was carried out. Multiple logistic regression analysis was used to identify factors associated with the development of severe COVID-19. ROC analysis was performed to assess the prognostic significance of the set of identified statistically significant factors in the development of a severe course of COVID-19. Results: Multivariate logistic regression analysis showed that patients under 60 diabetes mellitus (OR=2,561, p=0,048), lymphopenia (OR=2,133, p=0,030), and pneumonia at admission (OR=2,556, p=0,011), rapid breathing (OR=3,497, p=0,001), low saturation (OR=4,076, p=0,006) were significantly associated with the development of severe COVID-19. At the same time, in patients older than 60 years, the presence of diabetes mellitus (OR=1,899, p=0,029), rapid breathing (OR=2,338, p=0,007) and low saturation (OR=4,248, p < 0,0001) were significantly associated with the development of a severe course of COVID-19. In groups under 60 and over 60 years of age, the prognostic value of the combination of all statistically significant factors corresponding to the groups was equal to the average level (AUC=0,760 and AUC=0,709, respectively) Conclusion: Factors associated with the development of a severe course of COVID-19 in elderly and middle-aged people have some differences related to the pathogenesis of the disease. For individuals under 60 years of age, factors associated with severe COVID-19 are diabetes mellitus, the presence of pneumonia on admission, dyspnea, low oxygen saturation, and lymphopenia. For individuals over 60 years of age, factors associated with severe COVID-19 are the presence of diabetes mellitus, shortness of breath, and low saturation. The combination of all the studied factors significantly increases the risk of developing a severe course of COVID-19 in both age groups.
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Introduction: Coronavirus infection (COVID-19), first reported at the end of 2019, which has spilled over into a worldwide pandemic and has affected all aspects of our modern lives. The aim is to study and analyze the epidemiological features of COVID-19 in the Pavlodar region. Materials and methods: Study design is a descriptive retrospective study analysis. The data were obtained from official sources of the Republican Center for e-Health of the Ministry of Health of the Republic of Kazakhstan. The study includes patients from June 30, 2020 to October 31, 2021 who received outpatient and inpatient treatment for coronavirus infection in medical institutions of the Pavlodar region. Study materials - uploading reports from the Republican Center for e-Health of the Ministry of Health of the Republic of Kazakhstan. Results: This article presents epidemiological data on the incidence of coronavirus infection in the population of Pavlodar region. The number of detected cases of COVID-19 from June 30, 2020 to October 31, 2021 was 29,443. Distribution of patients by sex predominated women - 17,831 (60.56%), than men - 11,612 (39.44%). The majority of cases were in the age group from 61 to 70 years old, with a male to female ratio of 1:1.54. Statistical significance was found between duration of stay and type of inpatient care (p < 0.001, VS-MPR*=2.135 x 10+22). Conclusion: The study showed that the number of women who fell ill prevailed over the number of men who fell ill, although the number of deaths among men prevailed over the number of deaths among women. In the study, there was no significant difference in the duration of stay for men and women in home care, compared to patients under 24-hour observation.
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ObjectiveTo assess the effects of countermeasures against coronavirus disease 2019 (COVID-19) in Shanghai from March to May 2022 in comparison with epidemiological trend of COVID-19 in New York City. MethodsDaily confirmed cases, asymptomatic SARS-CoV-2 carriers, and daily deaths were obtained in the Shanghai Municipal Health Commission and the Center for Disease Control and Prevention (CDC) of the United States. Descriptive study was conducted by using these data. ResultsFrom March 1 to May 17, the number of daily asymptomatic SARS-CoV-2 infections in Shanghai was up to 58 times as large as that of daily confirmed cases;however, the number of daily confirmed cases in Shanghai was generally less than that in New York in the same time period. At the peak of the COVID-19 epidemic, the growth of daily attack rate in Shanghai was significantly lower than that in New York (P < 0.05). Moreover, the number of daily death was evidently less than that in New York. In addition, the vaccination rate in the elderly (aged 60 years) in Shanghai was evidently lower than that in New York (aged 65 years). ConclusionThe COVID-19 epidemics in Shanghai from March to May 2022 and in New York after December 2021 were both caused by the Omicron variant. Compared with the Delta variant, the Omicron variant has stronger replication ability and infectivity, resulting in challenges to the containment of the epidemic in metropolis such as Shanghai and New York City. The epidemic in New York City remained crucial due to absence of effective countermeasures, while that in Shanghai has been effectively contained with strict countermeasures. The prevention and control strategies may be adjusted along with the continual evolution of SARS-CoV-2 and increasing trend of imported COVID-19 cases.