Recently, nations are struggling to mitigate the impact of the unprecedented COVID-19 outbreak on their economy. Many countries have imposed traveling restrictions to reduce people’s movement in order to avoid infection transmission. Traveling restrictions have jeopardized the tourism industry around the globe. If the situation persists, it will become challenging for the nations to open tourism. For this reason, the digitalization of tourism is a viable solution for this situation. However, it is essential to map whether digital technologies can provide alternative solutions to the situation and whether digital tourism can replace conventional tourism? With that backdrop, this study has two objectives: (a) to find the future of digital tourism development beyond the COVID-19 pandemic situation, and (b) to find collaborative research work among nations to develop digital tourism after the current pandemic crisis. To achieve these objectives, we conducted a systematic literature review of past research on the development of digital tourism from 2016–2020. The study applies the PRISMA-2015 statement to select and synthesize 60 articles from Scopus and ‘Web of Science’ databases. Content analysis was performed to analyze the underlying clusters of research on digital tourism and, later, bibliometric analysis was conducted to examine collaborative research between different countries. The findings highlighted three major research clusters namely; virtual reality tourism, virtual tourism, and augmented reality. In addition, the research finding shows that virtual tourism is a practical and valuable option for mass tourism during the COVID-19 outbreak and can replace mass tourism after the pandemic. Although virtual tourism does not feel like a visit to a natural destination, it is still getting attention from tourists. Virtual spaces must develop more features and value additions to achieve tourist satisfaction in the future.

Face masks are considered an effective intervention in controlling the spread of airborne viruses, as evidenced by the 2009′s H1N1 swine flu and 2003′s severe acute respiratory syndrome (SARS) outbreaks. However, research aiming to examine public willingness to wear (WTW) face masks in Pakistan are scarce. The current research aims to overcome this research void and contributes by expanding the theoretical mechanism of theory of planned behavior (TPB) to include three novel dimensions (risk perceptions of the pandemic, perceived benefits of face masks, and unavailability of face masks) to comprehensively analyze the factors that motivate people to, or inhibit people from, wearing face masks. The study is based on an inclusive questionnaire survey of a sample of 738 respondents in the provincial capitals of Pakistan, namely, Lahore, Peshawar, Karachi, Gilgit, and Quetta. Structural equation modeling (SEM) is used to analyze the proposed hypotheses. The results show that attitude, social norms, risk perceptions of the pandemic, and perceived benefits of face masks are the major influencing factors that positively affect public WTW face masks, whereas the cost of face masks and unavailability of face masks tend to have opposite effects. The results emphasize the need to enhance risk perceptions by publicizing the deadly effects of COVID-19 on the environment and society, ensure the availability of face masks at an affordable price, and make integrated and coherent efforts to highlight the benefits that face masks offer.

Since human beings have a long tradition of coexistence with pandemics, which may profoundly impact them, adopting preventive measures is crucial for humankind’s survival. This study explores the intention-based critical factors affecting the willingness of individuals to adopt pandemic prevention. To this end, a representative sample of 931 Pakistanis filled in an online questionnaire. However, only 828 questionnaires were found to be complete and valid for path modeling analysis. The core findings are as follows: Firstly, peer groups’ beliefs, self-efficacy, perceived risk, pandemic knowledge, ease of pandemic prevention adoption, and risk-averse behavior are revealed as driving forces of the individuals’ willingness to adopt pandemic prevention. Contrastingly, a lack of trust in political will and mythical attitude towards pandemics are uncovered as inhibitors. Nevertheless, moral values depict a neutral role. Secondly, the peer groups’ beliefs are highest ranked, followed by the lack of trust in political will and a mythical attitude towards pandemic prevention. Finally, moral values are determined as the lowest-ranked critical factor. Based on these results, the government should promote awareness campaigns on lethality and fatality of the pandemic at both centralized and decentralized levels to win people’s trust at the grass-roots level and overcome the mythical attitude of individuals at all societal levels. Besides, access to personal protective gears should be made feasible since an easier pandemic prevention adoption would increase the individuals’ willingness to adopt such preventative measures.

The use of technology in the healthcare sector and its medical practices, from patient record maintenance to diagnostics, has significantly improved the health care emergency management system. At that backdrop, it is crucial to explore the role and challenges of these technologies in the healthcare sector. Therefore, this study provides a systematic review of the literature on technological developments in the healthcare sector and deduces its pros and cons. We curate the published studies from the Web of Science and Scopus databases by using PRISMA 2015 guidelines. After mining the data, we selected only 55 studies for the systematic literature review and bibliometric analysis. The study explores four significant classifications of technological development in healthcare: (a) digital technologies, (b) artificial intelligence, (c) blockchain, and (d) the Internet of Things. The novel contribution of current study indicate that digital technologies have significantly influenced the healthcare services such as the beginning of electronic health record, a new era of digital healthcare, while robotic surgeries and machine learning algorithms may replace practitioners as future technologies. However, a considerable number of studies have criticized these technologies in the health sector based on trust, security, privacy, and accuracy. The study suggests that future studies, on technological development in healthcare services, may take into account these issues for sustainable development of the healthcare sector.

The COVID-19 pandemic has forced the government to close the educational institutions globally, to contain the infection of the disease, which has affected the academic activities of local and international students significantly. This unexpected shift from offline classes to online learning has created psychological disruption among the students. At that backdrop, this study aims to investigate the influence of e-learning and emotional intelligence (EI) on the study stress, burnout, and performance of Pakistani students by applying emotion regulation theory. The data (N = 387) is based on international students, enrolled in 10 different universities in China. The results indicate that both e-learning and EI have significantly affected perceived study stress, burnout, and performance of students. These findings have provided evidence that online classes and EI can influence study stress, burnout, and performance of students. The study concludes that EI has significant impact on the psychological pressure of a student.