TÜKETÍMDE TOPLUMSAL CÍNSÍYET: KÜRESEL BÍR SALGIN (COVID-19) SONRASI YAŞANAN DEĞÍŞÍMLER

Genellikle insanlar doğumdan itibaren toplumsal cinsiyet rollerine maruz kalarak ilerleyen yaşantılarında bu roller doğrultusunda tüketim tercihlerini ve kararlarını belirlemeye çalışmaktadır. Toplumdan topluma değişen skonusu bu roller, kişilerin vereceği tüketim kararlarında etkili bir pozisyonda yer almasını sağlayabilir. Ancak daha önce yapılmış çalışmalar, küresel bir şokun tüketimler üzerinde bireylerin benzer tüketim tercihlerinde bulunulduğunu göstermiştir. Bu bağlamda çalışmanın amacı Covid-19 salgını ile birlikte toplumun cinsiyetlere yüklediği rollere ait tüketim kalıplarının genç yetişkinler üzerindeki değişiminin ne şekilde yaşandığını ortaya koymayı amaçlamaktadır. Araştırma yöntemi olarak nitel araştırma tekniklerinden derinlemesine mülakat tekniği kullanılmıştır. Çalışma kapsamında Muğla Sıtkı Koçman Üniversitesi Íktisadi ve Ídari Bilimler Fakültesi bünyesinde yer alan bölümlerdeki (işletme, iktisat, kamu yönetimi, siyaset bilimleri ve uluslararası ilişkiler) 40 öğrenci ile bu görüşmeler gerçekleştirilmiştir. Sonuç olarak küresel salgınla birlikte toplumsal cinsiyet algısına aykırı satın alımlar gerçekleştiren katılımcıların son derece az oluşu hatta genç yetişkinlerin büyük çoğunluğunun toplumsal cinsiyete bağlı tüketim yapmadıkları ve buna karşı oldukları ortaya çıkmıştır.Alternate :People are often exposed to gender roles from birth to determine consumption preferences and decisions in line with these roles in their future lives. These roles, which have changed from society to society, can enable people to take an effective position in the decisions of consumption. However, previous studies have shown that individuals have similar consumption preferences on the consumption of a global shock.In this context, the aim of the study is to demonstrate the way that the consumption patterns of the roles that society has put into the gender, along with the Covid-19 epidemic, have changed on young adults. In-depth interview technique from qualitative research techniques was used as a method of research. These meetings were held with 40 students in the departments of the Faculty of Economics and Administrative Sciences (business, economics, public administration, political sciences and international relations) of Muğla Sitki Kocman University within the scope of the study. As a result, participants who have made procurement against the perception of gender with the global outbreak have been extremely low, and even the majority of young adults have shown that they do not consume and oppose gender-dependent consumption.

The Impact of COVID-19 and Use of Geo-Tagged User Data in Territories Without Planning: The Case of São Tomé and Príncipe

This work addresses the territorial organization, its interdependencies and urban development in a country faced with the lack of land and town planning, as is the case of the Democratic Republic of São Tomé and Príncipe. It is based on studies to unfold the potential of new mobile communication technologies and how they can be used to gain knowledge and approaches to different development challenges, mobility issues in particular. This work is backed by an understanding that territory is a resource and a strategic tool for tackling and providing responses to sustainability issues, and as the study shows, to better understand the outbreak of COVID-19 in a territory without planning and one eager to have information on which to base more rationale containing efforts. São Tomé and Príncipe has failed to design and implement sound development plans;public transportation remains one of the issues that suffers from the lack of synergy between urban growth and population needs. This contribution focuses on the feasibility of mining, visualizing and spatializing available 2G/3G geo-tagged data traffic minute-by-minute as a strategic tool to inform decision making towards implementing an interinstitutional approach to minimize the impact of COVID-19. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Analysis of case-based malaria surveillance and response during the period of COVID-19 outbreak in China

Objective To assess the case-based malaria surveillance and response during the period of COVID-19 outbreak in China, in order to provide reference for malaria elimination under the COVID-19 pandemic. Methods Information of malaria cases reported during the four months pre - and post-COVID -19 outbreak (December 1, 2019-March 31, 2020) and in the same time period of past two years in China (excluding Hong Kong, Macau and Taiwan regions) was obtained from the Parasitic Disease Control Information Management System. Cross-sectional survey and comparison were conducted for malaria surveillance and response data in 3 four-month time periods (December 1, 2019 to January 22, 2020;January 23 to March 17, 2020;and March 18-31, 2020). The number of malaria cases including deaths, the median and average time interval from disease onset to the first visit, the median and average of time interval from the first visit to the confirmed diagnosis, the completion status of the #1-3-7$ task and the source of infections in each period were analyzed and compared to the same times in the past two years. Results From December 1, 2019 to March 31, 2020, a total of 750 malaria cases, which were all imported cases, were reported in China, decreased by 9.2% from that reported during December 2018 and March 2019 (826 cases) and by 13.1% from that reported during December 2017 to March 2018 (863 cases). The decrease mainly occurred in February and March in 2020;there were no statistical differences in the time interval from onset to first visit (median 1 day, mean 2.0 days), time interval from first visit to confirmed diagnosis (median 1 day, mean 1.8 days), case reporting rate within 1 day (100%), case epidemiological investigation rate within 3 days (98.4%), epidemic site disposal rate within 7 days (100%) between the time period of COVID-19 outbreak and the same time in the past year (December 2018 to March 2019). In addition, no statistical difference (! > 0.05) was found in the time intervals from onset to first visit among the first period [median 1 d, average (1.9 +/- 0.2) d], the second period [median 1 d, average (2.1 +/- 0.3) d] and the third period [median 1 d, mean (1.5 +/- 0.3) d], while the time interval from the first visit to the confirmed diagnosis was statistically different (! X 0.05) among the first period [median 0 d, average (1.5 +/- 0.2) d], the second period [median 1 d, mean (2.3 +/- 0.3) d] and the third period [median 0.5 d, average (1.5 +/- 0.4) d], where the time interval in the second period was longer than that in the first period (! X 0.01). Conclusion China' s core measures to eliminate malaria have been carried out as planned, although the timely malaria diagnosis was slightly affected in the second time period (January 23 to March 17, 2020).Copyright © 2021, National Institute of Parasitic Diseases. All rights reserved.

Intracranial Hemorrhage After Pfizer-BioNTech (BNT162b2) mRNA COVID-19 Vaccination: A Case Report.

The Coronavirus 2019 (COVID-19) pandemic has affected over 700 million people worldwide and caused nearly 7 million deaths. Vaccines currently developed or in development are the most effective tools for curbing the pandemic and mitigating its impacts. In Turkey, inoculation with the Pfizer-BioNTech COVID-19 vaccine (BNT162b2, also known as tozinameran) has been approved. We report a 56-year-old female patient with underlying essential hypertension who experienced intracranial hemorrhage after receiving her first dose of tozinameran. The patient underwent immediate surgical evacuation of the hematoma, during which a left middle cerebral artery bifurcation aneurysm was macroscopically identified and clipped. The patient was pronounced deceased on the second postoperative day. This is the second case of intracranial hemorrhage following tozinameran administration caused by a ruptured middle cerebral artery bifurcation aneurysm. Upon analyzing the case, there might be a connection between the vaccine's potential immune-triggering effect on hemodynamic patterns and the rupture of the previously unknown cerebral aneurysm. However, these severe complications do not justify avoiding vaccines; further studies are needed. This study emphasizes the need for increased vigilance in patients with underlying systemic comorbidities who have recently been vaccinated and to share our insights into the potential relationship between tozinameran and intracranial hemorrhage.

Practices regarding the COVID-19 outbreak and life satisfaction: A moderated mediation model of psychological distress and fear of Covid-19.

Increasing attention has been recently paid to the influences of the COVID-19 outbreak on the human psyche due to its potentially detrimental after-effects. However, little is known about the effects of practices introduced to contain the COVID-19 outbreak, such as social isolation and lockdowns, on individuals' psychological problems and well-being, or how a fear of COVID-19 amplifies or reduces these effects. Using a sample of 2680 Vietnamese adults, data were collected between 15 August and 15 November 2021 through an online-based survey. This study adopted a moderated mediation model. Remarkably, the fear of COVID-19 was not only found to significantly exacerbate the adverse effects of psychological distress on life satisfaction, but it also significantly decreased the impact of COVID-19 practices on satisfaction with life. The fear of COVID-19 significantly moderated the mediation effect of psychological distress on the relationship between COVID-19 practices and life satisfaction. This study makes significant and novel contributions to our extant knowledge about the destructive consequences of COVID-19. The findings of our study can benefit policymakers and practitioners and include valuable recommendations on how to avert psychological crises and increase individuals' well-being during or after a pandemic.

Parent rated bedtime resistance and comorbidity may predict levels of attention among Turkish children diagnosed with ADHD in on-line education classes during the COVID-19 outbreak.

OBJECTIVE: This study aimed to compare the attention levels, of Turkish children and adolescents with Attention Deficit/ Hyperactivity Disorder (ADHD) in on-line education classes with healthy controls. METHODS: This study is a cross-sectional, internet-based, case-control study that recruited 6-18 years old patients diagnosed with ADHD and receving treatment and healthy controls from eight centers. The measurements used in the study were prepared in the google survey and delivered to the participants via Whatsapp application. RESULTS: Within the study period, 510 children with ADHD and 893 controls were enrolled. Parent- rated attention decreased significantly in both groups during on-line education classes due to COVID-19 outbreak (p<0.001; for each). Children and adolescents with ADHD had significantly elevated bedtime resistance, problems in family functioning difficulties than control children according to parental reports (p=0.003; p<0.001; p<0.001, respectively). Furthermore, bedtime resistance and comorbidity significantly predicted attention levels in on-line education. CONCLUSION: Our findings may underline the need to augment student engagement in on-line education both for children without attention problems and those with ADHD. Interventions shown to be effective in the management of sleep difficulties in children as well as parent management interventions should continue during on-line education.

Two years after lockdown: Longitudinal trajectories of sleep disturbances and mental health over the COVID-19 pandemic, and the effects of age, gender and chronotype.

Since the first lockdown of Spring 2020, the COVID-19 contagion waves pervasively disrupted the sleep and mental health of the worldwide population. Notwithstanding the largest vaccination campaign in human history, the pandemic has continued to impact the everyday life of the general population for 2 years now. The present study provides the first evidence of the longitudinal trajectories of sleep disturbances and mental health throughout the pandemic in Italy, also describing the differential time course of age groups, genders and chronotypes. A total of 1062 Italians participated in a three-time-point longitudinal study covering two critical stages of the emergency (the first lockdown in April 2020 and the second partial lockdown in December 2020) and providing a long-term overview 2 years after the pandemic outbreak (April 2022). We administered validated questionnaires to evaluate sleep quality/habits, insomnia, depression, stress and anxiety symptoms. Analyses showed a gradual improvement in sleep disturbances, depression and anxiety. Conversely, sleep duration progressively decreased, particularly in evening-type and younger people. Participants reported substantial earlier bedtime and get-up time. Stress levels increased during December 2020 and then stabilised. This effect was stronger in the population groups apparently more resilient during the first lockdown (older people, men and morning-types). Our results describe a promising scenario 2 years after the pandemic onset. However, the improvements were relatively small, the perceived stress increased, and the re-establishment of pre-existing social/working dynamics led to general sleep curtailment. Further long-term monitoring is required to claim the end of the COVID-19 emergency on Italians' sleep and mental health.

Artificial neural networks for prediction of COVID-19 in India by using backpropagation.

The COVID-19 pandemic has affected thousands of people around the world. In this study, we used artificial neural network (ANN) models to forecast the COVID-19 outbreak for policymakers based on 1st January to 31st October 2021 of positive cases in India. In the confirmed cases of COVID-19 in India, it's critical to use an estimating model with a high degree of accuracy to get a clear understanding of the situation. Two explicit mathematical prediction models were used in this work to anticipate the COVID-19 epidemic in India. A Boltzmann Function-based model and Beesham's prediction model are among these methods and also estimated using the advanced ANN-BP models. The COVID-19 information was partitioned into two sections: training and testing. The former was utilized for training the ANN-BP models, and the latter was used to test them. The information examination uncovers critical day-by-day affirmed case changes, yet additionally unmistakable scopes of absolute affirmed cases revealed across the time span considered. The ANN-BP model that takes into consideration the preceding 14-days outperforms the others based on the archived results. In forecasting the COVID-19 pandemic, this comparison provides the maximum incubation period, in India. Mean square error, and mean absolute percent error have been treated as the forecast model performs more accurately and gets good results. In view of the findings, the ANN-BP model that considers the past 14-days for the forecast is proposed to predict everyday affirmed cases, especially in India that have encountered the main pinnacle of the COVID-19 outbreak. This work has not just demonstrated the relevance of the ANN-BP techniques for the expectation of the COVID-19 outbreak yet additionally showed that considering the incubation time of COVID-19 in forecast models might produce more accurate assessments.

Barriers to achieving sustainability in pharmaceutical supply chains in the post-COVID-19 era

Purpose - The recent pandemic caused by coronavirus disease 2019 (COVID-19) has significantly impacted the operational performances of pharmaceutical supply chains (SCs), especially in emerging economies that are critically vulnerable due to their inadequate resources. Finding the possible barriers that continue to impede the sustainable performance of SCs in the post-COVID-19 era has become essential. This study aims to investigate and analyze the barriers to achieving sustainability in the pharmaceutical SC of an emerging economy in a bid to help decision-makers recognize the most influential barriers. Design/methodology/approach - To achieve the goals, two decision-making tools are integrated to analyze the most critical barriers: interpretive structural modeling (ISM) and the matrix of cross-impact multiplications applied to classification (MICMAC). In contrast to other multi-criteria decision-making (MCDM) approaches, ISM develops a hierarchical decision tool for decision-makers and cluster analysis of the barriers using the MICMAC method based on their driving and dependency powers. Findings - The findings reveal that the major barriers are in a four-level hierarchical relationship where "Insufficient SC strategic plans to ensure agility during crisis" acts as the most critical barrier, followed by "Poor information structure among SC contributors," and "Inadequate risk management policy under pandemic." Finally, the MICMAC analysis validates the findings from the ISM approach. Originality/value - This study provides meaningful insights into barriers to achieving sustainability in pharmaceutical SCs in the post-COVID-19 era. The study can help pharmaceutical SC practitioners to better understand what can go wrong in post-COVID-19, and develop actionable strategies to ensure sustainability and resilience in practitioners' SCs.

World Assumptions and Coping Related to Trauma as Predictors of General Mental Health and Acute Stress Symptoms Among Iranian Muslims During the COVID-19 Outbreak

The COVID-19 outbreak is a new potentially traumatic event that may have some unknown effects on mental health. The aim of this study was to examine how two theoretical frameworks related to coping with trauma, including shattered assumptions and coping with trauma, could explain mental health and acute stress symptoms among the general population during the COVID-19 outbreak. The participants included 212 Iranian Muslims who filled out the online survey. Women and people with non-fixed jobs reported more mental health deterioration and acute stress symptoms. There were no significant differences between people with or without COVID-19 in terms of mental health symptoms, experiencing acute stress symptoms, and world assumptions. Results showed that world assumption and forward-focused coping could predict mental health symptoms and acute stress symptoms beyond COVID-19 specific stress. Assumptions related to the meaningfulness of the world and trauma-focused coping were associated with a higher score in general mental health symptoms and acute stress, but assumptions related to the benevolence of the world, self-worth, and forward-focused coping were associated with lower mental health and acute stress symptoms. This could suggest that world assumptions could buffer or endanger mental health during crises such as the pandemic. In addition, it seems that forward-focus coping is effective for managing new life challenges during the COVID-19 outbreak. In contrast, the more people address the negative and catastrophic effects of COVID-19 (such as trauma-focused coping), the more they are prone to developing mental health symptoms. This study showed that among Iranian Muslims, some world assumptions (for example, the meaningfulness of world) and some kinds of coping (for example, trauma-focused coping) were not as protective factor as in non-Muslim countries.

PSSO: Political Squirrel Search Optimizer-Driven Deep Learning for Severity Level Detection and Classification of Lung Cancer

Lung cancer accounts for about 7.6 million deaths annually worldwide. Early identification of lung cancer is essential for reducing preventable deaths. In this paper, we developed a Political Squirrel Search Optimization (PSSO)-based deep learning scheme for efficacious lung cancer recognition and classification. We used Spine General Adversarial Network (Spine GAN) to segment lung lobe regions where a Deep Neuro Fuzzy Network (DNFN) classifier forecasts cancerous areas. A Deep Residual Network (DRN) is also used to determine the various cancer severity levels. The Political Optimizer (PO) and Squirrel Search Algorithm (SSA) were combined to create the newly announced PSSO method. Experimental outcomes are assessed using the dataset of images from the Lung Image Database Consortium.

Deep learning-based multistep ahead wind speed and power generation forecasting using direct method

Long-term effective and accurate wind power potential prediction, especially for wind farms, facilitates planning for the sustainable development of renewable energy. Accurate wind speed forecasting enhances wind power generation planning and reduces costs. Wind speed time series has nonlinearity, intermittence, and fluctuation, which makes the prediction difficult. Deep learning techniques can be beneficial when there is no specific structure to data. These techniques can predict wind speed with reasonable accuracy and reliability. In this study, four different algorithms, including Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Convolu-tional Neural Network (CNN), and CNN-LSTM, for three different long-term horizons (6 months, 1 year, and 5 years) are successfully developed using the direct method. GRU method showed a higher degree of accuracy compared to other methods. In addition, it is confirmed that using a multivariate data set increases the model's accuracy compared to the univariate model. A computational cost analysis is also conducted to compare the proposed algorithms. Finally, the power production capacity of the wind farm at a given location, Zabol city, is calculated for the next five years, which is indispensable for planning, management, and economic analysis. The reasonable conformance between the real data and predicted ones is shown to confirm the capability of the proposed model to use in long-term wind speed forecasting.

Analysis of the performance of Islamic gold-backed cryptocurrencies during the bear market of 2020

This study examines the performance of Islamic gold-backed cryptocurrencies during the bear market of 2020. Price data is collected for three Islamic gold-backed cryptocurrencies, OneGram, HelloGold and X8X, as well as the conventional gold-backed cryptocurrency, PaxGold, and the conventional fiat-backed cryptocurrency, Bitcoin, from December 2019 to November 2020. Analysis via ARMA-EGARCH models show that returns on all cryptocurrencies are lower during the bear market but the decrease is only significant for the Islamic gold-backed cryptocurrencies. Volatility is found to be higher for all five cryptocurrencies but the effect of the bear market on the volatility is only significant for the conventional cryptocurrencies.

Risk Management of Exposure to Bio- Logical Agents among Workers in Wastewater Treatment Plants during the Covid-19 Outbreak

Purpose: To systematize the activities and re-lationships between employers, workers, and occu-pational health services in the process of risk man-agement of exposure to biological agents in wastewater treatment plants (WWTPs) during the COVID-19 outbreak. Material/Methods: We studied the Bulgarian and European Union legislation and the recommen-dations of international organizations related to risk management of exposure to COVID-19 concerning workers in WWTPs from March 2020 to Septem-ber 2021.Results: The EU and Bulgarian legislation has been updated with a focus on risk management of exposure to the SARS-CoV-2, including workers from WWTPs. Some of the Coronaviridae that are known to be pathogenic remain in the second group according to the degree of danger, while Coronaviridae such as SARS-virus, MERS-virus and SARS-CoV-2 are evaluated and classified in group 3 according to the level of risk of infection. The employers must take measures to protect workers in accordance with the new, higher level of dan-ger. We systematized risk management measures.Conclusion: Bulgarian and international leg-islation on health and safety at work has been up-dated in the period 2020-2021 with an emphasis on the risk management of exposure to biological agents at work. Co-operation between employers and workers in WWTPs, and occupational health services is an essential part of the risk management process, including prevention of outbreaks of work -related infectious diseases such as coronavirus dis-ease 2019 (COVID-19).

Mental Health and Learning Achievement during the Covid-19 Outbreak: A Lesson from Online Learning among Indonesian College Students

Introduction. All educational institutions have to adjust the learning format, from face-to-face to online learning, due to the COVID-19 outbreak. The sudden shifting of the learning format raised several problems for the students and led to mental health issues.Aim. This study aimed to examine the effect of mental health on students' learning achievement during online learning in the COVID-19 outbreak.Methodology and research methods. This study used partial least square structural equation model- ling (PLS-SEM) to examine the research model on a random sample of 518 respondents.Results. The online learning activities during the COVID-19 outbreak have developed mental health issues, such as anxiety and depression. Furthermore, the results indicated that mental health negatively predicted the students' learning achievement. Scientific novelty. This study reveals certain situations and conditions that could be affected to the student's mental health and learning achievement.Practical significance. This study can be useful to the government as policymakers and administra- tors of the university as current research provides a critical understanding of the online learning influ- ence on mental health and learning achievements of students. The government and administrators of the university should consider the right policy for learning activities during the COVID-19 outbreak. The government and administrators of the university also should provide student services to minimise the mental health issues among college students during online learning activities.

The psychosocial experiences of healthcare workers (HCWs) during COVID-19 quarantine: a qualitative study.

Purpose: Healthcare workers (HCWs) are more than others likely to be exposed to a viral overload regardless of the protective equipment and systems. Recent studies have reported that quarantine time is stressful for healthcare workers. We explored the impact of quarantine time as an external stressor on distress, sleep, healthy lifestyle behaviors, and familial relations among HCWs during the COVID-19 pandemic. Methods: A surgery team (n = 12) were working on a patient with confirmed thyroid cancer. This team was quarantined for 14 days as per the criteria of the local health government after the patient tested positive for COVID-19. We included and interviewed this team through a purposive technique in this qualitative study in Iraqi Kurdistan in 2020. Using the Graneheim and Lundman method, we analyzed the data via thematic content analysis with a deductive approach. Results: The participants experienced distress with mental health burdens during these difficult times. Some of them had to stay away from their families and friends for the first time. The first and last days were stressful for them due to fear of infection. The HCWs attempted to maintain their healthy lifestyles, including getting sufficient sleep, reducing stress levels, and creating a positive relationship with their families. The HCWs used the following coping strategies to alleviate the effects of COVID-19: beliefs, habits, and familial support. Familial and social support were their main strategies for maintaining a healthy lifestyle. The intensity level of familial and social relations was found to be a positive experience for HCWs during this stressful period. Conclusions: This study showed that HCWs experienced psychological stress during the quarantine time of the COVID-19 outbreak. The HCWs' quality of sleep was affected adversely along with negative effects on their lifestyles. However, the level of support from familial and social relations increased during the COVID-19 outbreak. This was the major means for them to deal with stress during this difficult time of their lives.

The production and distribution of face masks to other countries: a strategic approach of Taiwan during COVID-19 outbreak

PurposeCOVID-19 pandemic has exposed that even the best of the developed nations have surrendered to the devastations imposed on the global supply chains. The purpose of this study is to explore how COVID-19 has exaggerated the supply chain of production and distribution of Taiwan-based face masks and also investigate the conscientious factors and subfactors for it.Design/methodology/approachIn this study, an analytical hierarchy processes (AHP)-based approach has been used to assign the criterion weights and to prioritize the responsible factors. Initially, based on 26 decision-makers, successful factors were categorized into five main categories, and then main categories and their subcategories factors were prioritized through individual and group decision-maker's contexts by using the AHP approach.FindingsThe results of this AHP model suggest that "Safety” is the most important and top-ranked factor, followed by production, price, work environment and distribution. The key informers in this study are stakeholders which consist of managers, volunteers, associations and non-governmental organizations. The results showed that good behavior of the employees under the "Safety” category is the top positioned responsible factor for successful production and distribution of face masks to the other countries with the highest global percentage of 15.7% and using sanitizers to protect health is the second most successful factor with the global percentage of 11.7%.Research limitations/implicationsThe limitations faced in this study were limited to only Taiwan-based mask manufacturing companies, and it was dependent on the decisions of the limited company's decision-makers.Originality/valueThe novelty of this study is that the empirical analysis of this study has been based on a successful Taiwan masks manufacturing company and evaluates the responsible factors for the production and distribution of Taiwan masks to other countries during COVID-19.

Occupational Health of Frontline Workers during the COVID-19 Pandemic: Is Health and Well-Being an Issue in Bangladesh?

The coronavirus outbreak has significantly affected the health and well-being of several people around the world. In a similar vein, Bangladeshi medical professionals have also been affected by several severe physical and mental health complications resulting from their frequent contact with COVID-19 patients. This exposes them to a greater risk of infection with the lethal virus, which can substantially impact their job performance. Therefore, this research aims to investigate the manner in which the COVID-19 pandemic affects the occupational health and safety of medical employees. The researchers deployed a descriptive qualitative technique to investigate the complexities of the COVID-19 crisis amongst medical practitioners. Employing purposeful sampling and in-depth interview techniques, the researchers collected data from a total of 32 healthcare professionals and investigated their state of occupational health, their exposure to stress and trauma, and the effects of stress and trauma on their livelihood, health and well-being. The data revealed the occupational health of healthcare workers as being fragile, resulting to stress and trauma, and eventually, a depressed state of mind. To address this issue, relevant government and non-governmental organizations should concentrate on reducing COVID-19-related risks and repercussions in hospital settings. In addition, policymakers, social workers, public health practitioners and psychologists must work together to ensure that healthcare workers are healthy and safe at work. © 2023, Editura Lumen. All rights reserved.

The Empirical Study of Pandemic and War Influence on the University Students' Education

The pandemic's impact on junior students' educational process was analyzed based on a survey conducted by the authors. The study is supplemented by an analysis of the effects of the war on learning based on open data. It is concluded that the conditions of natural disasters, which create both a pandemic and war, have caused and continue to cause significant damage to both the educational process and the psychological state of students. The ongoing online educational process is essential for continuing education and psychological support for young people throughout the educational process. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

COVID-19 outbreak and earnings management practice: case of Tunisia

Purpose: This article attempts to investigate the impact of COVID-19 outbreak on the earnings management (EM) for listed Tunisian companies. Design/methodology/approach: The study focuses on both accrual-based and real EM (REM) practices. With panel data, the authors employ the multiple regression approach and the generalized least squares (GLS) estimate method. The sample is made up of 41 listed companies observed from the first half of 2016 to the second half of 2020. Findings: This study finds that, during the pandemic period, Tunisian firms use decreasing income discretionary accruals. Also, with regard to REM, the COVID-19 variable displays a negative response coefficient but of lesser magnitude. Research limitations/implications: This study's findings can help Tunisian authorities, listed companies and market investors to better understand EM practices during a negative shock and to better understand the various internal and external factors influencing the quality of financial reporting. These findings may contribute, also, significant EM implications for scholars interested in other emerging markets. As limitations, the authors point out mainly to the small sample size used in this study and that the authors used a single model, namely the modified Jones model (1995), to measure the accounting EM. Also, the authors used a binary variable as a proxy for the COVID- 19 pandemic. Originality/value: To the best of authors' knowledge, it is the first in Tunisia, if not in Africa, to examine the impact of the COVID-19 pandemic on EM practices. Second, this study builds on previous work by examining both the accrual-based EM and the REM. © 2023, Riadh Garfatta, Mouna Hamza and Imen Zorgati.