Resilience building and high-quality development of the hotel industry under the background of the epidemic

The COVID-19 epidemic has had a huge impact on the global tourism industry, and the tourism economy has experienced continuous recession in the past two years. As an important part of the tourism industry, the hotel industry will inevitably be affected. According to the data released by the Ministry of Culture and Tourism, the revenue per available room of China's star-rated hotels in 2021 will increase to 139.91 yuan, from 122.36 yuan in 2020. But compared with 194.79 yuan in 2019 before the epidemic, there is still a large room for recovery.

Working with artificial intelligence surveillance during the COVID-19 pandemic: a mixed investigation of the influence mechanism on job engagement in hospitality industry

This paper examines the interaction effects of social support (supervisor support and coworker support) and AI surveillance on employee job engagement drawing on the social exchange theory. Mixed research methods were applied. Researchers collected 358 valid time-lagged designed questionnaires and tested the model using a path analysis approach. The results revealed that there is a moderated mediation mechanism in relationships between supervisor support/coworker support and job engagement, in which both self-efficacy and self-esteem are mediating variables and AI surveillance plays a moderating role. Specifically, when the degree of job control with AI surveillance is at a low level, the effect of supervisor support/coworker support on employees' self-efficacy/self-esteem is stronger. The indirect relationship between supervisor support/coworker support and job engagement through self-esteem is moderated by job control with AI surveillance as well, and the indirect relationship becomes stronger when job control with AI surveillance is lower. Findings from a series of semi-structured post-hoc interviews with 18 hotel employees interpretatively support the survey results. This research fills this gap by analyzing relationships among social support, AI surveillance, and job engagement and provides positive suggestions for hotel operation and employee management with AI surveillance during pandemic.

Equity in telemedicine for older adults during the COVID-19 pandemic.

The coronavirus disease 2019 (COVID-19) pandemic has spurred an unprecedented paradigm shift to telemedicine across healthcare fields in order to limit exposure to the virus. At the West China Hospital of Sichuan University, telemedicine has been used to perform COVID-19-related tele-education to health professionals and the general population, as well as tele-diagnosis, online treatment and internet-based drug prescription and delivery. However, many older adults could not make appointments with doctors due to difficulty using the internet-based platform. Careful attention needs to be paid by future researchers and policymakers in order to mitigate barriers older adults face when using telemedicine.

Global Population Aging, National Development Level, and Vulnerability to the Pandemic.

PURPOSE: This study examined the roles of population aging and national development level in affecting different phases of novel coronavirus disease development with a view to advancing preparedness and corresponding policy. METHODS: Regression analysis was conducted using multisource data from the World Bank and Johns Hopkins COVID-19 Dashboard. RESULTS: Population aging is positively associated with confirmed cases of day-10, day-20, and day-30. The positive association between population aging and death does not emerge until day-20. Countries with a higher proportion of older males face higher risks of death.. Countries with a higher proportion of males aged 70-74 years are at the highest risk of confirmed cases. National development level is not associated with confirmed cases, but developing countries face significantly higher risks of death of day-10 and day-20. CONCLUSION: Prevention and control policies for older adults and underdeveloped areas and sex differences need to be studied.

Internalized Stigmatization, Social Support, and Individual Mental Health Problems in the Public Health Crisis.

This study investigates the relationship between internalized stigmatization brought on by epicenter travel experiences and mental health problems (including anxiety, depression, and shame) during the period of the novel coronavirus disease emergency in China. The cross-sectional data were collected using the time-lag design to avoid the common method bias as much as possible. Regression results using structural equation modeling show that the internalized stigmatization of epicenter travel experiences may have positive relationships with mental health problems (i.e., anxiety, depression, and shame), and such relationships can be moderated by social support. Specifically, the positive relationships between internalized stigmatization and mental health problems are buffered/strengthened when social support is at a high/low level. The findings of this study suggest that, in this epidemic, people who have epicenter travel experience could be affected by internalized stigmatization, no matter whether they have ever got infected.

Severe psychological distress among patients with epilepsy during the COVID-19 outbreak in southwest China.

OBJECTIVE: To compare the severity of psychological distress between patients with epilepsy and healthy controls during the COVID-19 outbreak in southwest China, as well as identify potential risk factors of severe psychological distress among patients with epilepsy. METHODS: This cross-sectional case-control study examined a consecutive sample of patients older than 15 years treated at the epilepsy center of West China Hospital between February 1 and February 29, 2020. As controls, sex- and age-matched healthy visitors of inpatients (unrelated to the patients) were also enrolled during the same period. Data on demographics and attention paid to COVID-19 were collected by online questionnaire, data on epilepsy features were collected from electronic medical records, and psychological distress was evaluated using the 6-item Kessler Psychological Distress Scale (K-6). Potential risk factors of severe psychological distress were identified using multivariate logistic regression. RESULTS: The 252 patients and 252 controls in this study were similar along all demographic variables except family income. Patients with epilepsy showed significantly higher K-6 scores than healthy controls and spent significantly more time following the COVID-19 outbreak (both P < .001). Univariate analyses associated both diagnosis of drug-resistant epilepsy and time spent paying attention to COVID-19 with severe psychological distress (defined as K-6 score >12; both P ≤ .001). Multivariate logistic regression identified two independent predictors of severe psychological distress: time spent paying attention to COVID-19 (odds ratio [OR] = 1.172, 95% confidence interval [CI] = 1.073-1.280) and diagnosis of drug-resistant epilepsy (OR = 0.283, 95% CI = 0.128-0.623). SIGNIFICANCE: During public health outbreaks, clinicians and caregivers should focus not only on seizure control but also on mental health of patients with epilepsy, especially those with drug-resistant epilepsy. K-6 scores > 12 indicate severe psychological distress. This may mean, for example, encouraging patients to engage in other activities instead of excessively following media coverage of the outbreak.

[An analysis of global research on SARS-CoV-2].

The SARS-CoV-2 has been spread to 26 countries around the world since its outbreak. By February 16, 2020, more than 68 000 people had been diagnosed with COVID-19. Researchers from all over the world have carried out timely studies on this public health emergency and produced a number of scientific publications. This review aims to re-analyze and summarize the current research findings in a timely manner to guide scholars in relevant fields to further SARS-CoV-2 research and assist healthcare professionals in their work and decision-making. The SARS-CoV-2 related terms were selected in both English and Chinese and were searched in several major databases, including Pubmed, Web of Science, CNKI, Wanfang, and VIP databases. The reference list of each search result was screened for relevance, which was further supplemented to the search results. The included studies were categorized by topics with key characteristics extracted, re-analyzed, and summarized. A total of 301 articles were finally included with 136 in Chinese and 165 in English. The number of publications has rapidly increased since mid-January, 2020, and a peak day was 6th February on which 50 articles were published. The top three countries publishing articles were China, the United States and the United Kingdom. The Lancet and its specialty journals have published the most articles, with contribution also from journals such as New England Journal of Medicine ( NEJM), The Journal of the American Medical Association ( JAMA), and Nature. All articles were categorized into epidemiology, clinical diagnosis and treatment, basic research, pregnant women and children, mental health, epidemic prevention & control, and others. The literatures related to SARS-CoV-2 are emerging rapidly. It is necessary to sort out and summarize the research topic in time, which has a good reference value for staff in different positions. At the same time, it is necessary to strengthen the judgment of the quality of literatures.