Analyzing the factors affecting the attitude of public toward lockdown, institutional trust, and civic engagement activities

COVID-19 Pandemic Fatigue and Its Sociodemographic, Mental Health Status, and Perceived Causes: A Cross-Sectional Study Nearing the Transition to an Endemic Phase in Malaysia

This study aimed to explore the socio-demographic characteristics, mental health status, and perceived causes of pandemic fatigue with COVID-19 pandemic fatigue among the general population of Malaysia. The data was collected online during the transition from the COVID-19 pandemic phase to the endemic phase in Malaysia from 1 to 30 April 2022. Sociodemographic data, Depression Anxiety Stress Scale-21 (DASS-21), perceived causes of pandemic fatigue, and the Fatigue Assessment Scale (FAS) were included in the survey. The chi-square test and a simple logistic regression analysis were used to identify predictors of pandemic fatigue. The completed survey (N = 775) included individuals aged 18 years or above [mean 31.98 (SD = 12.16)] from all states in Malaysia. Pandemic fatigue prevalence was 54.2%. Severe to extremely severe depression, anxiety, and stress symptoms were detected in 11.2%, 14.9%, and 9.1% of the participants, respectively. Younger age, non-Malay ethnicity, living alone, and higher income categories were significantly higher in the fatigued group. Higher DASS-21 scores on all domains were associated with higher FAS scores. Meanwhile, high scores for perceived tiredness from complying with the COVID-19 Standard Operating Procedure (SOP), perceived risk of infection from COVID-19, perceived hardship due to the pandemic, perceived public complacency during the pandemic, and perceived changes due to the pandemic were associated with a higher FAS score. This study provides valuable information for policymakers and mental health professionals worldwide on pandemic fatigue and its associated factors, including mental health status in Malaysia.

Social Environment and Attitudes toward COVID-19 Anti-Contagious Measures: An Explorative Study from Italy

Social and cultural aspects (i.e., political decision making, discourses in the public sphere, and people's mindsets) played a crucial role in the ways people responded to the COVID-19 pandemic. Framed with the Semiotic-Cultural Psychological Theory (SCPT), the present work aims to explore how individual ways of making sense of their social environment affected individuals' perception of government measures aimed at managing the pandemic and the adherence to such measures. An online survey was administered from January to April 2021 to the Italian population. Retrieved questionnaires (N = 378) were analyzed through a Multiple Correspondence Analysis (MCA) to detect the factorial dimensions underpinning (dis)similarities in the respondents' ways of interpreting their social environment. Extracted factors were interpreted as markers of Latent Dimensions of Sense (LDSs) organizing respondents' worldviews. Finally, three regression models tested the role of LDSs in supporting the individual satisfaction with the measures adopted to contain the social contagion defined at national level, individual adherence to the containment measures and the perception of the population's adherence to them. Results highlight that all the three measures are associated with a negative view of the social environment characterized by a lack of confidence in public institutions (health system, government), public roles and other people. Findings are discussed on the one hand to shed light on the role of deep-rooted cultural views in defining personal evaluations of government measures and adherence capacity. On the other hand, we suggest that taking into account people's meaning-making can guide public health officials and policy makers to comprehend what favors or hinders adaptive responses to emergencies or social crises.

Psychological improvement in Employee Productivity by Maintaining Attendance System using Machine Learning Behavior

For a very long time, researchers, educationists, practitioners, and psychologists have tried to conduct extensive research on employee productivity at the workplace. It was firmly believed that positive traits of the employees positively affect the performance of employees at the workplace and, at the same time, increase the productivity of the organization. A few organizations have changed their organizational policies to improve employee performance by identifying individuals' positive traits. Positive psychology (PS), unlike traditional psychology, focuses on the positive traits of the individuals rather than on their negative aspects. Hence, this paper intends to analyze the important role of PS in improving employee productivity as well as analyze the psychological improvement in Employee Productivity by Maintaining Attendance Systems, Implementing Corporate Social Responsibility (CSR activities), Entrepreneurial Intentions (EI), and Machine Learning Behavior (MLB). This study paper investigates the role of attendance systems, CSR, EI, and MLB in enhancing the employees' productivity in a positive manner, which will eventually increase organizational productivity. This study proposes a research framework and hypothesis that explains the relationship between employee productivity and organizational attendance system, CSR, EI, and MLB. For this study, a questionnaire was prepared and distributed among the employees working in the selected organizations. These data verify the validity of the proposed hypothesis and research framework. Statistical approaches were employed to analyze the results of the proposed hypothesis. Results of the study found that by maintaining an attendance system, implementing CSR, EI, and MLB, employee performance can be improved positively, thereby increasing organizational productivity.

The Role of Economic Stress, Health Concerns, and Institutional Trust in Supporting Public Protests against COVID-19 Lockdown Measures in Denmark

During the current COVID-19 pandemic, most governments around the world have adopted strict COVID-19 lockdown measures. In Denmark, mainly from January to March 2021, an anonymous protest group called Men in Black organized demonstrations against the Danish COVID-19 lockdown measures in the three major cities in Denmark. Based on an online survey that we carried out in March 2021 in the Danish population aged 16 years and above (n = 2692), we analyze the individual-level factors behind supporting these demonstrations. Based on ordered logit regressions, the results show that being Muslim and being self-employed (business owner) was positively related to supporting the demonstrations, and that age and living in a city municipality was negatively related to supporting the demonstrations. Based on structural equation modeling (SEM), the results showed that the municipal COVID-19 incidence rate mediates the effect of living in a city municipality, that institutional trust mediates the effect of being Muslim, and that COVID-19 health concerns and institutional trust mediate the effect of age. Overall, economic stress among business owners, health concerns, and institutional trust were found to be the main predictors of supporting the demonstrations against the COVID-19 lockdown measures in Denmark.

Research on the governance of campus bullying and prevention mechanism of students' mental health problem

At present, juvenile campus bullying is seriously threatening their own physical and mental health, campus security and even social security, making social instability factors increase. It is to explore how to reduce and avoid the frequent occurrence of campus bullying and provide effective countermeasures for the governance of campus bullying. The relevant research on the governance of campus bullying and the prevention mechanism of students' mental health problems is conducted from the judicial perspective. The methods of literature survey and questionnaire are employed to investigate and analyze the campus bullying problem governance and the influencing factors of students' mental health. The results show that the causes of campus bullying are not only due to external factors, but also due to internal factors from students themselves. The principle of timely prevention and comprehensive management must be followed in the construction of the multigovernance system of campus bullying. It suggests that there are many factors for the occurrence of campus bullying. Only by finding out the root cause of the problem and taking measures to deal with it can the occurrence of campus bullying be effectively avoided.

Social resilience of indigenous community on the border: Belief and confidence in anticipating the spread of COVID-19 through the Besamsam custom in the Dayak community

The Dayak indigenous community has belief and confidence in taking a stance and taking actions towards a situation and circumstances that affect their social life. This belief is based on their customs and traditions passed down from generation to generation until now. The Dayak traditional custom is a form of social resilience for the community on the border to anticipate the spread of the coronavirus disease 2019 (COVID-19) pandemic, which has become a problem in all aspects of community lives. Despite facing various issues and difficulties in dealing with the pandemic, the indigenous Dayak community in Indonesia has managed to survive and resolve these problems. In dealing with the social impact of the COVID-19 pandemic, the Salako Dayak indigenous community on the Indonesia-Malaysia border carried out a traditional ritual called Besamsam. The indigenous Salako Dayak community believes this ritual boosts the social and psychological resilience of the Salako Dayak indigenous community. The research findings showed that the Besamsam ritual had changed people's beliefs about lifestyle, behaviour and perceptions in dealing with the COVID-19 pandemic. The Besamsam ritual can specifically affect the community's personalities, attitudes and actions towards the spread of COVID-19. Indigenous peoples have become easier to organize, dynamic, empowered, resilient, motivated to meet their needs, and capable of facing various challenges and social problems during and after the COVID-19 pandemic. These findings prove that indigenous communities psychologically have strong confidence in their customary beliefs rather than cautionary advice from outside their community. The social impact of the Besamsam custom can serve as a model of awareness and a driving force for indigenous peoples' elements to work cooperatively to break the chain of COVID-19 spread.

An ensemble approach for healthcare application and diagnosis using natural language processing

Integration of healthcare records into a single application is still a challenging process There are additional issues when data becomes heterogeneous, and its application based on users does not appear to be the same. Hence, we propose an application called MEDSHARE which is a web-based application that integrates the data from various sources and helps the patient to access all their health records in a single point of source. Apart just from the collection of data, this portal enables the process of diagnosis using Natural language processing. The process is carried out by fuzzy logic ruleset which is generated by using NLP packages. The resulted information is given to the SVM classifier which helps in the prediction of diseases resulting in 89% of accuracy and standing the best compared to other classifiers. Finally, the observations resulted are sent to the front end application and the concerned user mobile through text message in their own native language for which translation package is been used.