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The papers in this special section focus on modeling and simulation in disaster and emergency management. The COVID-19 pandemic of 2020 has wrought damage globally to a degree that is totally unprecedented in human history.Within three months that the first known death from the illness caused by the so-called novel Coronavirus was reported by state media in China on the 11th of January 2020, close to 1.8 million people worldwide had tested positive, with more than 100,000 deaths reported. By the time the pandemic will have been declared to be under control, millions more are expected to have been infected and tens (possibly hundreds) of thousands more will have perished as a result of the disease. Not only are the numbers of COVID-19 infected people and deaths staggering. Economies throughout the world have suffered tremendously, with many companies forced to shut down, or at the very least significantly scale down, their production of goods and services as a result of the need for social distancing and self-isolation required to prevent the unmitigated transmission of the disease. All this has led to hundreds of millions worldwide losing their employment or other sources of livelihood. Governments of all nations, large and small, developed and underdeveloped, have needed to pump into their economy and onto their struggling citizens whatever financial resources they could manage to generate. [ABSTRACT FROM AUTHOR]

During the outbreak of COVID-19, concern significantly influenced our financial system. This new paper's primary assessment of the COVID-19 virus affects the world's major economies and financial markets. This paper utilizes an event analysis approach and a data model to investigate the influence of COVID-19 on the financial market system from three viewpoints: (1) supply chain finance and titles, (2) processing system, and (3) the financial system of the organization. According to data analysis, the model built in this work may properly depict the influence of COVID-19 on the financial market system. The results indicated that the low age coefficient (p-value (p 0.05)) and a higher blocking condition (p-value (p > 0.05)) impact city tourism market system with p-values of 0.002 and 0.004, respectively. Other results show the impact of the Chinese New Year vacations. Since then, the government has slowly stabilized its recovery, with many measures taken to limit the epidemic in February and a series of regulatory measures enacted to stabilize financial markets. These findings show a small but statistically significant degree of stabilization in international financial markets in response to stay-at-home government policies and social distancing measures, which is encouraging for political actors concerned about economic performance during the coronavirus 2019 pandemic response. [ABSTRACT FROM AUTHOR]

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Regarding the problem of epidemic outbreak prevention and control, infectious disease dynamics models cannot support urban managers in reducing urban-scale healthcare costs through community-scale control measures, as they usually have difficulty meeting the requirements for simulation at different scales. In this paper, we propose combining contact networks at different spatial scales to study the COVID-19 outbreak in Shanghai from March to July 2022, calculate the initial R t through the number of cases at the beginning of the outbreak, and evaluate the effectiveness of dynamic non-pharmaceutical interventions (NPIs) adopted at different time periods in Shanghai using our proposed approach. In particular, our proposed contact network is a three-layer multi-scale network that is used to distinguish social interactions occurring in areas of different sizes, as well as to distinguish between intensive and non-intensive population contacts. This susceptible–exposure–infection–quarantine–recovery (SEIQR) epidemic model constructed based on a multi-scale network can more effectively assess the feasibility of small-scale control measures, such as assessing community quarantine measures and mobility restrictions at different moments and phases of an epidemic. Our experimental results show that this model can meet the simulation needs at different scales, and our further discussion and analysis show that the spread of the epidemic in Shanghai from March to July 2022 can be successfully controlled by implementing a strict long-term dynamic NPI strategy. [ABSTRACT FROM AUTHOR]

Summary: The coronavirus (COVID‐19) started in China in 2019, has spread rapidly in every single country and has spread in millions of cases worldwide. This paper presents a proposed approach that involves identifying the relative impact of COVID‐19 on a specific gender, the mortality rate in specific age, investigating different safety measures adopted by each country and their impact on the virus growth rate. Our study proposes data‐driven analysis and prediction modeling by investigating three aspects of the pandemic (gender of patients, global growth rate, and social distancing). Several machine learning and ensemble models have been used and compared to obtain the best accuracy. Experiments have been demonstrated on three large public datasets. The motivation of this study is to propose an analytical machine learning based model to explore three significant aspects of COVID‐19 pandemic as gender, global growth rate, and social distancing. The proposed analytical model includes classic classifiers, distinctive ensemble methods such as bagging, feature based ensemble, voting and stacking. The results show a superior prediction performance comparing with the related approaches. [ABSTRACT FROM AUTHOR]

• Sectors and linkages in economic system can be viewed as nodes and edges in network. And in this paper, network analysis method is adopted into input-output tables to evaluate the structural change of Chinese economy. • The modelling results indicate that the COVID-19 pandemic accelerates the undergoing structural transformation of Chinese economy. • Traditional strong sectors like petroleum and finance are severely attacked by pandemic and lag behind in structural status. • Sectors of digital service industries and scientific research expand their activities rapidly under social distancing policies. • Development strategies for China in the post-pandemic era regarding old and new growth engines are proposed. Recognizing the impact of COVID-19 on economic structure is an urgently required task for the post-pandemic era. However, studies have been hampered in undertaking this task by a lack of current data and the use of inappropriate methods. This paper fills the gap in the literature by applying a network analysis method using the newly released input–output tables of China and evaluating the structural impacts on the economy, including the changes in the sectoral closeness, betweenness, risk condition, and network backbone. The modelling results demonstrate that the pandemic has accelerated the structural transformation process of the Chinese economy: the traditional growth engines, such as the petroleum and finance industries, have lagged, whereas new growth engine sectors, including the digital services and scientific research industries, have expanded rapidly. Accordingly, we propose that the government formulate policies to stabilize old growth engine industries and foster new drivers to promote a sustainable economic recovery in China. [ABSTRACT FROM AUTHOR]

Since the infectious coronavirus disease (COVID-19) was first reported in Wuhan, it has become a public health problem in China and even around the world. This pandemic is having devastating effects on societies and economies around the world. The increase in the number of COVID-19 tests gives more information about the epidemic spread, which may lead to the possibility of surrounding it to prevent further infections. However, wearing a face mask that prevents the transmission of droplets in the air and maintaining an appropriate physical distance between people, and reducing close contact with each other can still be beneficial in combating this pandemic. Therefore, this research paper focuses on implementing a Face Mask and Social Distancing Detection model as an embedded vision system. The pretrained models such as the MobileNet, ResNet Classifier, and VGG are used in our context. People violating social distancing or not wearing masks were detected. After implementing and deploying the models, the selected one achieved a confidence score of 100%. This paper also provides a comparative study of different face detection and face mask classification models. The system performance is evaluated in terms of precision, recall, F1-score, support, sensitivity, specificity, and accuracy that demonstrate the practical applicability. The system performs with F1-score of 99%, sensitivity of 99%, specificity of 99%, and an accuracy of 100%. Hence, this solution tracks the people with or without masks in a real-time scenario and ensures social distancing by generating an alarm if there is a violation in the scene or in public places. This can be used with the existing embedded camera infrastructure to enable these analytics which can be applied to various verticals, as well as in an office building or at airport terminals/gates. [ABSTRACT FROM AUTHOR]

In the wake of the COVID-19 outbreak, China implemented emergency epidemic prevention and control measures, which played a positive role in economic and social development as well as the containment of the epidemic. Based on stock trading data from February 2020 to December 2022, this paper examines the impact of these measures on the stock returns of A-share listed companies. The findings of the study indicate that social distancing and health measures generally increase stock market returns, despite the varying magnitude of their effects. In addition, the analysis of two aspects, namely the listed sectors and the industry response analysis, further corroborates the main conclusion that social distancing policies have a more pronounced effect on the stock market. The study helps investors understand how the stock market responds to government announcements and enables policymakers to further explore the impact of policy responses during major public health events and their influence on economic and social welfare. [ABSTRACT FROM AUTHOR]

COVID-19 is a highly infectious disease caused by SARS-CoV-2, first identified in China and spread globally, resulting into pandemic. Transmission of virus takes place either directly through close contact with infected individual (symptomatic/asymptomatic) or indirectly by touching contaminated surfaces. Virus survives on the surfaces from few hours to days. It enters the human body through nose, eyes or mouth. Other sources of contamination are faeces, blood, food, water, semen etc. Parameters such as temperature/relative humidity also play an important role in transmission. As the disease is evolving, so are the number of cases. Proper planning and restriction are helping in influencing the trajectory of the transmission. Various measures are undertaken to prevent infection such as maintaining hygiene, using facemasks, isolation/quarantine, social/physical distancing, in extreme cases lockdown (restricted movement except essential services) in hot spot areas or throughout the country. Countries that introduced various mitigation measures had experienced control in transmission of COVID-19. Python programming is conducted for change point analysis (CPA) using Bayesian probability approach for understanding the impact of restrictions and mitigation methods in terms of either increase or stagnation in number of COVID-19 cases for eight countries. From analysis it is concluded that countries which acted late in bringing in the social distancing measures are suffering in terms of high number of cases with USA, leading among eight countries analysed. The CPA week in comparison with date of lockdown and first reported case strongly correlates (Pearson's r = − 0.86 to − 0.97) to cases, cases per unit area and cases per unit population, indicating earlier the mitigation strategy, lesser the number of cases. The overall paper will help the decision makers in understanding the possible steps for mitigation, more so in developing countries where the fight against COVID-19 seems to have just begun. [ABSTRACT FROM AUTHOR]

Public health lessons from one pandemic become the planning assumptions for the next one. Aotearoa New Zealand's 2017 pandemic plan was derived from past experience of influenza. When Covid-19 emerged as a major global health threat, it took time for the realisation to crystallise that this infection was so different from influenza that it required a completely new pandemic response strategy. In this paper we describe how early evidence about SARS-CoV-2 transmission from China led to the adoption of an elimination strategy in Aotearoa New Zealand, making it the first country to choose elimination as a specific policy response. We discuss how further evidence has shaped the selection and design of Covid-19 pandemic control measures such as border restrictions, case and contact management, hygiene practices and use of face masks, physical distancing, and vaccines. This experience demonstrates the need for a different approach to the design of the next national pandemic plan. We identify key early evidence that will be required to develop a flexible and appropriate public health response to a new pandemic threat. We present a framework for a new pandemic plan that aims to learn from the Covid-19 experience by making as few limiting assumptions as possible. [ABSTRACT FROM AUTHOR]

Four month ago, nobody knows about covid-19 but now this virus has spread to almost every country, infecting at least 3,062515 people and death approx 211449 people with badly impact on economies of the most countries and also broken their health -care systems. At this time covid-19 disease is almost spreading all over the world and society. Majorly Pharmacy services act as a pillar at this pandemic situation for the public health. China is the first country where covid-19 outbreak started and some current data of consumer behavior and their habits are showed that society take some safe and preventive measures during lockdown and social distancing time which increase growth of ecommerce demand is inevitable. Now a day’s e-pharmacy is being adapted because medications can be ordered in a one click and conveniently delivered to customer door step with some risk like misuse of drugs and self-medication especially for those drugs which comes under the schedule H and X. This review paper focus on the basic issues and challenges related to online pharmacy and how can it be beneficial to society and pharma sectors in the pandemic situation. [ABSTRACT FROM AUTHOR]

• There is significant variation in people's compliance with lockdown measures introduced by governments to curb the spread of the COVID-19. • Much of the variation can be explained by different cultural traits. • Individualism, which emphasises personal freedom, makes government intervention harder, whereas collectivism, which emphasises the wellbeing of the group, makes collective action easier. • We conclude that cultural factors play a critical role in successful policy implementation. In the first wave of the pandemic, places where geographic mobility declined more rapidly saw fewer cases of COVID-19. And yet, there is significant variation in people's compliance with the lockdown measures introduced by governments in order to curb the spread of the virus. In this paper, we show that much of this variation can be explained by different cultural traits. Specifically, we advance the hypothesis that individualism, which puts greater value on personal freedom, makes government intervention harder, whereas collectivism, which emphasises the wellbeing of the group, makes collective action easier. We find support for these ideas across 111 countries, but also when exploiting within country variation in the two largest economies in the world: China and the United States. Across a host of specifications, people were less abiding by the lockdown rules in places with greater prevalence of individualistic cultural traits. We conclude that cultural factors play a critical role in successful policy implementation. [ABSTRACT FROM AUTHOR]

We collected COVID-19 epidemiological and epidemic control measures-related data in mainland China during the period January 1 to February 19, 2020, and empirically tested the practical effects of the epidemic control measures implemented in China by applying the econometrics approach. The results show that nationally, both traffic control and social distancing have played an important role in controlling the outbreak of the epidemic, however, neither of the two measures have had a significant effect in low-risk areas. Moreover, the effect of traffic control is more successful than that of social distancing. Both measures complement each other, and their combined effect achieves even better results. These findings confirm the effectiveness of the measures currently in place in China, however, we would like to emphasize that control measures should be more tailored, which implemented according to each specific city's situation, in order to achieve a better epidemic prevention and control. [ABSTRACT FROM AUTHOR]

• Focus on community work for the betterment of floating children. • Use social network analysis within a Bourdieusian lens. • Analyse social groupings and the structures behind them. • Look at "small things" that are sociologically meaningful for social change. Drawing on Bourdieu's sociology, the concept of space in particular, this paper discussed the positions and dispositions of floating children in the urban space. It used social network analysis to test the homophily hypothesis that socially similar agents are physically proximate. Data were collected from 45 floating children and urban children in a community school in China. The results rejected the homophily hypothesis, calling for collective activism for small-scale but sociologically meaningful change to disrupt the correspondence between the physical and social distance established through the "site effects" of the hukou (household registration) system. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic spread catastrophically over the world since the spring of 2020. In this paper, a heterogeneous branching process with immigration is established to quantify the human-to-human transmission of COVID-19 in local communities, based on the temporal and structural transmission patterns extracted from public case disclosures by four provincial Health Commissions in China. With proper parameter settings, our branching model matches the actual transmission chains satisfactorily and, therefore, sheds light on the underlying COVID-19 spreading mechanism. Moreover, based on our branching model, the efficacy of home quarantine and social distancing are explored, providing a reference for the effective prevention of COVID-19 worldwide. [ABSTRACT FROM AUTHOR]

• This paper summarised the major types of SARS-COV-2 cluster infections worldwide. • Sixty-five studies were included, involving 108 cluster infections. • The major types of clusters were families, community transmission, etc. To summarise the major types of SARS-CoV-2 cluster infections worldwide through a comprehensive systematic review. All studies published between 01 January–15 June 2020 on COVID-19 cluster infections in English electronic databases were searched, including PubMed, Embase, Web of Knowledge, and Scopus. All included studies were independently screened and evaluated by two authors, and information from each study was extracted using a standard form. Sixty-five studies were included, which involved 108 cluster infections from 13 countries, areas or territories. Seventy-two (66.7%) of the cluster infections were reported in China. The major types of cluster infections were families, community transmission, nosocomial infection, gatherings, transportation, shopping malls, conferences, tourists, religious organisations, workers, prisons, offices, and nursing homes. The SARS-CoV-2 can be transmitted in various circumstances, and cluster infections play an important role in the rapid evolution of COVID-19 transmission. Prevention and control measures such as social distancing must be strictly implemented to contain these cluster infections. [ABSTRACT FROM AUTHOR]

This manuscript presents a geospatial and temporal analysis of the COVID'19 along with its mortality rate worldwide and an empirical evaluation of social distance policies on economic activities. Stock Market Indices, Purchasing Manager Index (PMI), and Stringency Index values are evaluated with respect to rising COVID-19 cases based on the collected data from Jan 2020 to June 2021. The findings for the stock market index reveal the highest negative correlation coefficient value, i.e., −0.2, for the Shanghai index, representing a negative relation on stock markets, whereas the value of the correlation coefficient is minimum for Indian markets, i.e., 0.3, indicating the most impact by COVID-19 spread. Further, the results concerning PMI show that the highest value of the correlation coefficient is for the China i.e., −0.52, points to the sharpest pace of contraction. This reflects the lower value of the correlation indicating that the economy is on the way of growth, which can be seen from the PMI value of the various countries. The manuscript presents a novel geospatial model by empirically evaluating the correlation coefficient of COVID-19 with stock market index, PMI, and stringency index to understand the effect of COVID-19 on the global economy. [ABSTRACT FROM AUTHOR]

Physical distancing and contact restrictions have been implemented in most countries and territories due to the rapid spread of SARS‐CoV‐2. This has caused physical, emotional, and psychological distress for adults living in the community. Diversified telehealth interventions have been widely applied in health care and have proven to be cost‐effective and well accepted by patients and health professionals. Currently, the effectiveness of telehealth interventions on psychological outcomes and quality of life among community adults during the COVID‐19 pandemic remains unclear. A literature search was conducted using PubMed, PsycINFO, CINAHL, EMBASE, MEDLINE, and the Cochrane Library from 2019 to October 2022. Twenty‐five randomized controlled trials with 3228 subjects were finally included in this review. Two independent reviewers performed the screening, extraction of key data points, and appraisal of the methodological quality. There were positive effects of telehealth interventions on anxiety, stress, loneliness, and well‐being among community adults. Participants who were women or older adults were more likely to recover from negative emotions, increase well‐being, and improve quality of life. The real‐time and interactive interventions and remote cognitive‐behavioural therapy (CBT) may be better choices during the COVID‐19 pandemic. Based on the findings of this review, health professionals have more options and alternatives for delivering telehealth interventions in the future. Rigorously designed randomized controlled trials (RCTs) with higher statistical power and long‐term follow‐up should be conducted in the future to strengthen the currently weak evidence. [ABSTRACT FROM AUTHOR]

COVID-19 has undergone several mutations and is still spreading in most countries now. PA has positive benefits in the prevention of COVID-19 infection and counteracting the negative physical and mental effects caused by COVID-19. However, relevant evidence has indicated a high prevalence of physical inactivity among the general population, which has worsened due to the outbreak of the pandemic, and there is a severe lack of exercise guidance and mitigation strategies to advance the knowledge and role of PA to improve physical and mental health in most countries during the epidemic. This study surveyed the effects of COVID-19 on PA in Chinese residents during the pandemic and provided important reference and evidence to inform policymakers and formulate policies and planning for health promotion and strengthening residents' PA during periods of public health emergencies. ANOVA, Kolmogorov–Smirnov, the chi-square test and Spearman correlation analysis were used for statistical analysis. A total of 14,715 participants were included. The results show that nearly 70% of Chinese residents had inadequate PA (95%CI 58.0%–82.19%) during the COVID-19 outbreak, which was more than double the global level (27.5%, 95%CI 25.0%–32.2%). The content, intensity, duration, and frequency of PA were all affected during the period of home isolation, and the types of PA may vary among different ages. The lack of physical facilities and cultural environment is the main factor affecting PA. However, there was no significant correlation between insufficient PA and the infection rate. During the period of home isolation and social distance of epidemic prevention, it is necessary to strengthen the scientific remote network monitoring and guidance for the process of PA in China. [ABSTRACT FROM AUTHOR]

The present outbreak of the novel coronavirus SARS‐CoV‐2, epicentered in China in December 2019, has spread to many other countries. The entire humanity has a vital responsibility to tackle this pandemic and the technologies are being helpful to them to a greater extent. The purpose of the work is to precisely bring scientific and general awareness to the people all around the world who are currently fighting the war against COVID-19. It's visible that the number of people infected is increasing day by day and the medical community is tirelessly working to maintain the situation under control. Other than the negative effects caused by COVID-19, it is also equally important for the public to understand some of the positive impacts it has directly or indirectly given to society. This work emphasizes the various impacts that are created on society as well as the environment. As a special additive, some important key areas are highlighted namely, how the modernized technologies are aiding the people during the period of social distancing. Some effective technological implications carried out by both information technology and educational institutions are highlighted. There are also several steps taken by the state government and central government in each country in adopting the complete lockdown rule. These steps are taken primarily to prevent the people from COVID-19 impact. Moreover, the teachings we need to learn from the quarantine situation created to prevent further spread of this global pandemic is discussed in brief and the importance of carrying them to the future. Finally, the paper also elucidates the general preventive measures that have to be taken to prevent this deadly coronavirus, and the role of technology in this pandemic situation has also been discussed. [ABSTRACT FROM AUTHOR]

The complex dynamics of human mobility, combined with sporadic cases of local outbreaks, make assessing the impact of large-scale social distancing on COVID-19 propagation in China a challenge. In this paper, with the travel big dataset supported by Baidu migration platform, we develop a reactive–diffusion epidemic model on human mobility networks to characterize the spatio-temporal propagation of COVID-19, and a novel time-dependent function is incorporated into the model to describe the effects of human intervention. By applying the system control theory, we discuss both constant and time-varying threshold behavior of proposed model. In the context of population mobility-mediated epidemics in China, we explore the transmission patterns of COVID-19 in city clusters. The results suggest that human intervention significantly inhibits the high correlation between population mobility and infection cases. Furthermore, by simulating different population flow scenarios, we reveal spatial diffusion phenomenon of cases from cities with high infection density to cities with low infection density. Finally, our model exhibits acceptable prediction performance using actual case data. The localized analytical results verify the ability of the PDE model to correctly describe the epidemic propagation and provide new insights for controlling the spread of COVID-19. • A reaction–diffusion epidemic model on human mobility networks is studied. • The constant and time-varying threshold behavior of the model is discussed. • Human intervention inhibits the high correlation between migration and pandemics. • The spatial diffusion of cases among cities is numerically simulated. • The predictive performance of the model is validated by using real case data. [ABSTRACT FROM AUTHOR]

Objectives The present study sought to explore how decision making is influenced by aging, framing, and social distance in the medical domain. Based on Socioemotional Selectivity Theory, we predicted that social distance would moderate age differences of framing effects as a result of older adults' emphasis on close partners. Methods Younger and middle-aged (N = 206) and older (N = 208) adults from Shanghai, China completed 2 medical decision tasks in which they were presented with different descriptions of social distance, namely deciding for close relatives or for strangers. Participants' risk preferences were measured. Results The results showed that framing effects were a function of social distance in older adults. Older adults showed smaller framing effects when making decisions for strangers as their preference for the riskier option was reduced in the loss-framed condition. For younger and middle-aged adults, framing effects existed consistently regardless of social distance. Discussion These findings suggest that social distance moderates age differences in framing effects in medical decision-making. It also highlights a potential way to improve older adults' medical decision-making quality: having older adults imagine as if they are making medical decisions for a stranger. [ABSTRACT FROM AUTHOR]

Social distancing measures can create psychological issues, especially among hospital staff who constantly deal with emergency patients. To explore the mediating role of COVID-19 anxiety on the association between COVID-19 safety protocols and mental health, and to test the moderating role of resilience between COVID-19 safety protocols and COVID-19 anxiety, this work collected data on hospital staff in terms of COVID-19 safety protocols, psychological resilience, COVID-19 anxiety, and improving staff mental health. The effects of the use of COVID-19 safety protocols on COVID-19 anxiety and the mental health of hospital workers in China were also analyzed. The experimental results showed that resilience remarkably moderated COVID-19 safety protocols and COVID-19 anxiety among Chinese hospital staff. [ABSTRACT FROM AUTHOR]

In recent years, the use of natural compounds as adjuvant treatments and alternatives to traditional pharmacological therapies has become increasingly popular. These compounds have a wide range of biological effects, such as: antioxidant, anti-aging, hypocholesterolizing, hypoglycemic, antitumoral, antidepressant, anxiolytic activity, etc. Almost all of these compounds are easily available and are contained in different foods. At the end of 2019 the Coronavirus SARS-CoV-2 appeared in China and quickly spread throughout the world, causing a pandemic. The most common symptoms of this infection are dry cough, fever, dyspnea, and in severe cases bilateral interstitial pneumonia, with consequences that can lead to death. The nations, in trying to prevent the spread of infection, have imposed social distancing and lockdown measures on their citizens. This had a strong psychological-social impact, leading to phobic, anxious and depressive states. Pharmacological therapy could be accompanied by treatment with several natural compounds, such as vitamins, baicalein, zinc and essential oils. These compounds possess marked immunostimulant activity, strengthening the immune response and mitigating interactions between the virus and the host cell. They also have an antidepressant effect, acting on certain neurotransmitters. Highlight how several nutraceuticals may have an immunostimulant and antidepressant effect on Covid-19 symptoms. [ABSTRACT FROM AUTHOR]

Since 2019, the COVID-19 pandemic, as a global public health emergency, has led to stringency measures (such as lockdown) of various degrees worldwide. As these measures such as social distancing measures and mandatory lockdown are intended to minimize social mobility, they have exerted remarkable impact on individuals' mental health, particularly, adolescents and children. The mental health problems caused include fear, anxiety, sense of isolation and development of more maladaptive behaviors due to prolonged lockdown and restricted interpersonal contact. However, well adaption status and stable interpersonal relationships play an important role in maintaining and promoting the mental health of adolescents and children. This study aims to gain a new sight of understanding of the mental health quality of Chinese adolescents during the COVID-19 Pandemic in terms of adaptation and interpersonal quality. The study is based on a survey on a total of 7,318 junior and senior high school students aged 12-18 years in various regions of China, and intended to examine the differences in adolescent mental health quality by sociodemographic variables such as gender, grade, urban and rural areas, only child, and parental education level. Our study finds that Chinese adolescents show an overall good adaptation and interpersonal quality during the lockdown. However there exists disparity across different categories in developmental patterns of adaptation and interpersonal quality. In addition, good family environment, moderate financial and emotional support, higher parental education level, etc. contribute to the cultivation and improvement of adolescents' mental health quality. Finally, we suggest that the government and researchers should pay more attention to adolescents' mental health issues in terms of adaption status and interpersonal relationships during the COVID-19 pandemic, especially for disadvantaged social groups such as girls, younger students, and low-income family students. [ABSTRACT FROM AUTHOR]

While the notion of external referencing has been undertaken across a range of disciplines, its adoption in a tourism setting remains largely fragmented. This project applies a 'floating classroom' as part of a virtual Community of Practice (CoP) to enable tourism policy and planning educators to perform a benchmarking exercise for maintaining teaching quality despite geographical separation and social distancing mandates. Virtual CoPs can help maintain teaching quality at a time when universities are increasingly required to uphold international standards of excellence and as the coronavirus continues to make face-to-face interactions risky. The CoP enabled mutual support and knowledge sharing for the design of teaching approaches, materials, and authentic assessments. The paper was limited to three educators teaching similar courses in Anglophone institutions and reports the results of a one-off study. But findings will assist educators interested in maintaining or enhancing teaching quality over the course of the pandemic and post-COVID-19 futures. [ABSTRACT FROM AUTHOR]

Background: Increased social distance is one of the manifestations of social impairment. Chronic low back pain (CLBP) is one of factors associated with increased social distance and social withdrawal. Exercise therapy is an effective means to social impairment. However, whether exercise could reduce social distance in patients with CLBP remains unknown. This study aimed to investigate the effect of exercise on social distance in middle-aged and elderly patients with CLBP. Methods: The longitudinal intervention recruited 29 middle-aged and elderly patients with CLBP from various communities in Yangpu District, Shanghai, China. The participants received exercise intervention for 8 weeks. The assessments were conducted before and after the intervention, including social distance, pain intensity, unpleasantness of pain, Roland-Morris Questionnaire (RMDQ), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). Intention to treat analysis was performed. Results: After the 8-week exercise intervention, the social distance of patients with CLBP was shorter than that before intervention and showed significant difference (p < 0.05). The scores of pain intensity, unpleasantness of pain, RMDQ, SAS, and SDS also decreased and were significantly different between pre- and post-intervention (p < 0.05). In addition, the social distance, pain intensity, unpleasantness of pain, RMDQ, SAS, and SDS scores of the moderate CLBP group decreased more after the intervention compared with those of the mild CLBP group. Conclusion: The 8-week exercise intervention cannot only shorten the social distance in middle-aged and elderly patients with CLBP but also relieve pain, disability, and negative emotions. [ABSTRACT FROM AUTHOR]

Purpose: This study investigated the associations between some factors related to working from home status (WFHS) and positive/negative experiences due to social distancing and their interactions effects on depressive symptoms during the COVID-19 pandemic. Methods: A random population-based telephone survey interviewed income-earning adults in the Hong Kong general population during April 21–28, 2020 (n = 200). Results: Mild to severe depression (according to PHQ-9) was reported by 12% of the participants. The prevalence of WFHS categories was 14% for 3–7 days and 13% for ≥ 8 days (past 2 weeks). The multivariable regression analysis showed that, social isolation (β = 0.36; p < 0.001), relaxation feeling in daily life (β = − 0.22; p = 0.002), and WFHS ≥ 8 days (β = 0.15; p = 0.027), but not perceived huge inconvenience and improved family relationship, were associated with depressive symptoms. Statistically significant interaction effects were found. Some positive experiences buffered the potential harms of some negative experiences of social distancing on depressive symptoms; WFHS ≥ 8 days significantly moderated the risk/protective effects of social isolation, improved family relationship, and relaxation feeling on depressive symptoms. Conclusions: Social distancing is double-edged. Positive experiences should be maximized while negative experiences be minimized, as both were directly and interactively associated with depression. Intensive but not mild to moderate (< 80%) WFHS may impact depressive symptoms negatively via its direct association with depression; it also moderated the associations between positive/negative experiences due to social distancing and depression. Further research is required to discern the inter-relationships among WFHS, positive/negative experiences of social distancing, and depression to better cope with the stressful pandemic. [ABSTRACT FROM AUTHOR]

The aim of this study is to identify and highlight the positive and negative indirect environmental impacts of COVID-19, with a particular focus on the most affected economies (USA, China, Spain, and Italy). In this respect, the empirical and theoretical dimensions of the contents of those impacts are analyzed. Research findings reveal a significant relationship between contingency actions and positive indirect impacts such as air quality improvements, clean beaches, and the decline in environmental noise. Besides, negative indirect impacts also exist, such as the rise in waste level and curtailment in recycling, further threatening the physical spaces (land and water), besides air. It is expected that global businesses will revive in the near future (though slowly), but the reduction in greenhouse gas emissions during this short time span is not a sustainable way of environmental mitigation. Thus, long-term mitigation policies should be strengthened to cope with the undesirable deterioration of the environment. Research findings provide an up-to-date glimpse of the pandemic from the perspectives of current and future indirect environmental impacts and the post-pandemic situation. Finally, it is suggested to invent and prepare action plans to induce a sustainable economic and environmental future in the post-pandemic world scenario. [ABSTRACT FROM AUTHOR]

COVID-19 has made it difficult to adopt traditional face-to-face psychological intervention under this situation because of the blocked down and social distancing, which brings big psychological crisis to the public among the global. To explore the emotional change of the public in China at the outburst of the pandemic at different phases, to establish an online working platform and create a new model of an online intervention to hold public emotions under pandemic, and test its effectiveness, so to give advisement for government emergency management system. We established an online organization to work for this program ad innovated a model of online group counseling with online emotional support accompany group (OESAG) right after the outburst of a pandemic. We analyzed 53 OESAGs from February 10 to April 9, including 555 application forms, 253 feedback from members, and 139 feedback from group leaders by using NVivo and SPSS to explore the evolution and characteristics of public emotion during COVID-19 and the effectiveness of OESAG. Our results showed that the emotional changes of members ranged from shock to depression to positive. The public's emotions swiftly changed from stress, anxiety, and isolation, to the hope of returning to work or finding a job during the pandemic with the help of OESAG. OESAG has effectively regulated the negative emotions of members by conducting psychological crisis intervention to provide members a space to communicate with each other, especially the female and frontline staff. Policy makers can set up an online systematic psychological crisis intervention system as soon as possible to make up for the lack of psychological assistance in the emergency management system. [ABSTRACT FROM AUTHOR]

Background: Uptake of social distancing behaviors may be determined by a combination of individual perceptions and social values. The study investigated (1) the associations between individual perception of perceived response efficacy and social distancing behaviors, (2) the association between social value of perceived freedom infringement and social distancing behaviors, and (3) whether perceived freedom infringement would moderate the association between perceived response efficacy and social distancing behaviors. Methods: A cross-sectional telephone survey interviewed 300 adults in the Hong Kong adult general population during April 21-28, 2020. The instruments of social distancing behaviors, perceived response efficacy, and perceived freedom infringement assessed the frequencies of practicing seven types of social distancing behaviors in the past week, perceived response efficacy of four types of governmental social distancing measures/instructions, and a 5-point Likert scale item on perceived infringement on personal freedom regarding a governmental social distancing measure of banning gatherings of >4 people in public areas. Linear regression adjusted for background factors was performed; the interaction term of perceived response efficacy × perceived freedom infringement was tested. Results: About 40.4%-83.0% of the respondents practiced various types of social distancing behaviors; 57.3%-75.0% perceived response efficacies of related governmental measures; about 20% showed perceived freedom infringement. Perceived response efficacy, but not perceived freedom infringement, was independently and positively associated with social distancing behaviors. Perceived freedom infringement significantly moderated the association between perceived response efficacy and social distancing behaviors; such a positive association was significant at higher (those scored "extremely agree"), but not lower (those scored "extremely disagree"), levels of perceived freedom infringement. Conclusion: Perceived response efficacy is a potential determinant of social distancing. However, the strength of such an association may be modified by opposing social values about personal freedom. Future studies are warranted to verify above findings and explore other potential determinants. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, South Korea implemented relatively flexible quarantine measures such as recommending social distancing. In contrast, China strictly controlled the pandemic, enforcing a ban on going out. This study examined the process of forming people's pro-social tourism behavioral intention in both countries considering the differing disciplinary techniques in response to COVID-19. We employed a framework combining the Norm Activation Model and the Theory of Planned Behavior. This study contributes to creating a safe tourism environment, proposals for revitalizing tourism activities, and measures to ensure that tourism services are in line with public health. [ABSTRACT FROM AUTHOR]

The COVID-19 global pandemic has had a significant impact on researchers as the normal and expected difficulties of research are exacerbated as education and our way of life has drastically changed. This research note is a reflective narrative of the author's experience transitioning from face-to-face to online interviews in light of social distancing and global travel restrictions. Through a descriptive analysis, this article details the numerous ethical, logistical, practical, and cultural issues the author confronted in preparation for qualitative cross-cultural online interview research through personal reflections, current events, and existing literature. The aim of this article is to highlight personal experience to better inform future research and encourage flexibility and reflexivity in research. It is hoped that this article can be of use to further develop cross-cultural qualitative methodology and expand upon the emerging field of literature surrounding videoconferencing qualitative research. [ABSTRACT FROM AUTHOR]

Background: Older adults are at a higher risk from COVID-19. Individual preventive behaviors including frequent hand washing, mask wearing, and social distancing play important roles in reducing the transmission of COVID-19 in the community. This study aimed to identify the determinants of three preventive behaviors of older adults during the COVID-19 pandemic by using an Integrated Social Cognition Model.Methods: Using a prospective study design, 516 Chinese older adults from Hubei province of China (mean age = 67.55 years, SD = 6.60, 57.9% females) completed two online questionnaire surveys. The demographics, social cognition constructs (motivational self-efficacy, risk perception, attitude, subjective norm, health knowledge, intention, volitional self-efficacy, planning, action control) and three preventive behaviors were measured during the first-wave online survey from 18 May 2020 to 7 June 2020. One month later, three preventive behaviors were measured again during the second-wave online survey. Data were analyzed by structural equation modelling.Results: Models showed attitude, motivational self-efficacy and subjective norm were consistent predictors of intention, motivational self-efficacy was a consistent predictor of volitional self-efficacy, planning and volitional self-efficacy were consistent predictors of action control, and health knowledge was a consistent predictor of behaviors across all three preventive behaviors. In addition, mediating relationships were found in the model of hand washing behavior. In particular, planning (β = .109, p = .042) and action control (β = .056, p = .047) mediated between volitional self-efficacy and hand washing respectively. Action control also mediated between planning and hand washing (β = .087, p = .044). Moreover, the inclusion of past behaviors in three models attenuated most of the structural relations.Conclusions: The current study's findings basically supported the Integrated Social Cognition Model and identified key modifiable determinants of preventive behaviors. Based on this model, future interventions aiming to promote COVID-19 preventive behaviors among older adults are warranted. [ABSTRACT FROM AUTHOR]

The purpose of the brief report is to describe a form of community support group used during the Covid-19 virus epidemic in China. We describe the impetus for the support group ("Community Conversation Hour"), theoretical considerations, the structure of the group, and the recruitment process, and summarize participant responses and facilitator reflections to the group. Remarks regarding institutional support and the impact of the group are provided, as well as considerations for similar support groups in other countries. [ABSTRACT FROM AUTHOR]

A recent outbreak was caused by SARS-CoV-2 was named Coronavirus disease-COVID-19. The first case was detected in China. It continued to spread globally and later was declared as a pandemic by WHO. Pneumonia like symptoms was observed which later led to respiratory illness, renal impairment, and death. Closed contact, respiratory droplets through cough, and sneeze are the mode transmission. Symptoms generally occur 2-14 days after infection. PCR is performed using various samples collected from infected patients and is the standard method of diagnosis. Chest X-ray, CT, and the symptoms observed generally show the extent of progress of the disease. Although there is no effective cure, currently symptomatic treatment and supportive care are available to reduce pneumonia-like symptoms and to decrease the severity of the condition. Preventive measures proposed by the WHO is to maintain proper personal hygiene, social distancing, and the use of the mask. [ABSTRACT FROM AUTHOR]

Wearing face masks and maintaining social distancing of 1.5m are two common preventive measures against the spread of COVID-19. However, the interaction of these preventive measures in interpersonal space (IPS) perception remains unknown. This study evaluated the effects of wearing surgical masks, sex dyads, and approaching patterns on IPS judgment. Data were collected from participants from Mainland China (n =100) and Taiwan (n =100) through an online survey. Therefore, the regional differences were also examined. A smaller IPS was observed when participants faced confederates wearing surgical masks than in the no-mask condition. Female dyads tended to maintain a smaller IPS than did both male and mixed-sex dyads, and Taiwanese participants maintained a significantly larger IPS than did Mainland Chinese participants. No significant difference was observed between the active and passive pattern. Moreover, the interaction between region and mask had a significant influence on IPS perception. Among all test combinations, only the IPS perceived by Taiwanese participants facing confederates without surgical masks exceeded 1.5m. This study revealed that the wearing of surgical masks for health protection during the pandemic influences IPS perception in different regions. The current findings may provide useful information for social interaction and environmental design during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Aim: To investigate the associations between demographic characteristics, perceived threat, perceived stress, coping responses and adherence to COVID‐19 prevention measures in Chinese Healthcare students. Design: A cross‐sectional survey collecting data in Hong Kong and Fujian Province of China in April 2020. Methods: A convenience and snowball sample of 2706 students aged 18 years or older and studying a healthcare programme were recruited in tertiary education institutions/universities in Hong Kong and Putian. The participants completed the questionnaire with six scales: Social Distancing Scale; Personal Hygiene Scale; Empathic Responding Scale; Wishful Thinking Scale; Perceived Stress Scale and Perceived Threat Scale. Path analysis was performed to identify factors associated with the preventive measures outcomes. p value <.05 was considered as statistical significance. Results: The participants reported high compliances to both social distancing (SoD) and personal hygiene measures (PHM). Confidence to manage the current situation, wishful thinking and empathetic responding directly predicted compliance with SoD and PHM. The final model constructed demonstrated a very good fit to the data. Conclusion: The findings suggest that students who are male, habituate in Hong Kong, have more clinical experience and weak confidence to manage the threat tend to have lower compliance with the COVID‐19 preventive measures. Impact: The predictive model constructed is the first one to explore factors associating with the compliance with infection control measures in healthcare students amid the COVID‐19 outbreak. As the infection control behaviours of healthcare students, whom are still under training and are the high‐risk group of being infected and infecting others in the community, are rarely reported in literature, this study has provided empirical evidence to nurses and other healthcare professionals to identify students susceptible to poor compliance and provide early monitoring and education to suppress the COVID‐19 transmission. [ABSTRACT FROM AUTHOR]

Electric vehicle development is critical to achieve the sustainable goals, while the hit of COVID-19 strikes the market and brings challenges to the whole industry. China, among one of the earliest regions affected by COVID-19 and takes a great part in the global electric vehicle market, is attracting growing attention on its post-pandemic trends in the electric vehicle industry. This paper provides a comprehensive analysis of COVID-19 impacts on China's electric vehicle industry from both the demand side and the supply side. Both challenges and opportunities for China's electric vehicle development are revealed with emerging trend analysis. It is found that the COVID-19 outbreak has reduced electric vehicle sales in the short-term, but may also stimulate future electric vehicle demand especially for large electric cars with better performance. Meanwhile, travel restrictions caused by COVID-19 have interrupted electric vehicle material supplies that relying on imports, accelerating domestic substitute exploitation and inventory improvement for critical parts. Additionally, massive lockdowns for controlling COVID-19 have disrupted productions and operations, which tends to expel small brands out of the competitive market, concentrating China's electric vehicle industry to the leading brands. Finally, the social distancing trend after pandemic is bringing challenges to traditional EV distribution channels with dealers, pushing automakers to develop innovative online selling channels. These impacts are likely to lead to a reformation of China's electric vehicle industry towards a more advanced and reliable future. • Impacts of COVID-19 on China's EV market and supply chain are analyzed. • COVID-19 outbreak may shift consumer demand to large EVs with better performance. • Supply interruption by travel restrictions may promote domestic R&D and reserves. • Suspension caused by lockdown may expel SMEs and concentrate China's EV industry. • Post-pandemic social distancing may lead to innovative online EV selling models. [ABSTRACT FROM AUTHOR]

Understanding teachers' and students' perceptions of online teaching and learning has been an important and popular research topic. As the COVID-19 outbreak has made online learning the best available option under social distancing and quarantine policies, the conversation on the effectiveness of online learning and its potential to strive in the future continues. However, as this conversation has received relatively less attention in the tourism and hospitality literature, this study investigated the online teaching and learning experiences of university teachers and students respectively the tourism and hospitality programs. Using an online survey distributed in March 2020, data were collected from 117 academic staff members and 491 students from over 15 higher education institutions that offer tourism and hospitality subjects in China. The two data sets (teachers and students) were compared using independent samples t-test and multi-group structural equation modeling. The findings reveal the similarities and differences between the two groups in terms of the factors affecting online teaching and learning satisfaction. Managerial implications are suggested to institutions and educators to enhance teachers' online teaching satisfaction and students' online learning satisfaction. [ABSTRACT FROM AUTHOR]

Background: Coronavirus disease 2019 (COVID-19) originated in the People's Republic of China in December 2019. Thereafter, a global logarithmic expansion of cases occurred. Some countries have a higher rate of infections despite the early implementation of quarantine. Air pollution might be related to high susceptibility to the virus and associated case fatality rates (deaths/cases*100). Lima, Peru, has the second highest incidence of COVID-19 in Latin America and also has one the highest levels of air pollution in the region.Methods: This study investigated the association of levels of PM2.5 exposure in previous years (2010-2016) in 24 districts of Lima with cases, deaths and case fatality rates for COVID-19. Multiple linear regression was used to evaluate this association controlled by age, sex, population density and number of food markets per district. The study period was from March 6 to June 12, 2020.Results: There were 128,700 cases in Lima and 2382 deaths due to COVID-19. The case fatality rate was 1.93%. Previous exposure to PM2.5 (2010-2016) was associated with the number of COVID-19- cases (β = 0.07; 95% CI: 0.034-0.107) and deaths (β = 0.0014; 95% CI: 0.0006-0.0.0023) but not with the case fatality rate.Conclusions: After adjusting for age, sex and number of food markets, the higher rates of COVID-19 in Metropolitan Lima are attributable to the increased PM2.5 exposure in the previous years, among other reasons. Reduction in air pollution from a long-term perspective and social distancing are needed to prevent the spread of virus outbreaks. [ABSTRACT FROM AUTHOR]

Background: Social distancing and school suspension due to the coronavirus pandemic (COVID-19) may have a negative impact on children's behavior and well-being. Problematic smartphone use (PSU), problematic social media use (PSMU) and perceived weight stigma (PWS) are particularly important issues for children, yet we have a poor understanding of how these may have been affected by lockdowns and physical isolation resulting from COVID-19. This research aimed to understand how these psychosocial and behavioral variables may be associated with psychological distress, and how these associations may have changed during the COVID-19 pandemic. Methods: A total of 489 children completed a three-wave longitudinal study from January 2020 to June 2020. The first wave was conducted before the COVID-19 outbreak. The second wave was conducted during the outbreak. The third wave was conducted during post-COVID-19 lockdown. Questionnaires measured psychological distress, PSU, PSMU, and PWS. Results: PSU, PSMU, PWS and psychological distress were all significantly associated with each other. PSU was significantly higher during outbreak. PWS was significantly higher before outbreak. We found an increased association between PSMU and PWS across three waves in all three models. The association between PSU and depression/anxiety decreased across three waves; however, association between PSMU and depression/anxiety increased across three waves. Conclusions: COVID-19 initiated school suspension and associated lockdowns appear to have exacerbated PSU and depression among children. However, PWS was reduced during this period. Children should use smartphones and social media safely and cautiously, and be aware of the potential exposure to weight stigmatization. [ABSTRACT FROM AUTHOR]

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This article aims at providing a comprehensive report on the impact of COVID-19 pandemic on online teaching and learning. The outbreak of COVID-19 affected people worldwide since its origin in December 2019 in China. All the countries stopped their normal activities in all the fields, and online teaching was the only approach to continue the teaching-learning activities. Both the government and the public are in fear, and are following various protocols to stay safe, like washing the hands frequently, wearing face masks, physical distancing, and avoiding mass gatherings and assemblies. Educational institutes are also closed; however, they have changed the teaching-learning methodology to cope with the situation. At present, a culture of virtual and online classes and using online teaching-learning tools has been adopted. Strategies for lockdown and staying home are very important to save more lives, and to flatten the curve and control the transmission of the disease. The article deals with strategies and steps taken to continue the teaching-learning process in educational institutions. The study uses a survey-based approach to analyse the effectiveness of online teaching-learning activities conducted by the institutes, and the use of ICT in education to manage online educational resources for future use. A total of 330 respondents, including students, teachers, parents, research scholars, and administrative officials were part of the study. They submitted their online feedback regarding effectiveness, significance, pros and cons, teaching tools, usage, time durations, and students' behaviour during the online teaching-learning strategies. Various learning outcomes, problems, challenges, and suggestions are also included in the present study. It is observed during the study that most of the people are satisfied with online teaching-learning and almost all the respondents think that online teaching has enhanced the quality and reputation of institutions. [ABSTRACT FROM AUTHOR]

Objectives: Research during prior virus outbreaks has examined vulnerability factors associated with increased anxiety and fear.Design: We explored numerous psychopathology, sociodemographic, and virus exposure-related variables associated with anxiety and perceived threat of death regarding COVID-19.Method: We recruited 908 adults from Eastern China for a cross-sectional web survey, from 24 February to 15 March 2020, when social distancing was heavily enforced in China. We used several machine learning algorithms to train our statistical model of predictor variables in modeling COVID-19-related anxiety, and perceived threat of death, separately. We trained the model using many simulated replications on a random subset of participants, and subsequently externally tested on the remaining subset of participants.Results: Shrinkage machine learning algorithms performed best, indicating that stress and rumination were the most important variables in modeling COVID-19-related anxiety severity. Health anxiety was the most potent predictor of perceived threat of death from COVID-19.Conclusions: Results are discussed in the context of research on anxiety and fear from prior virus outbreaks, and from theory on outbreak-related emotional vulnerability. Implications regarding COVID-19-related anxiety are also discussed. [ABSTRACT FROM AUTHOR]

• Delivery service contributed to the sales of restaurants during the COVID-19 pandemic. • Casual and fast casual dining restaurants had more benefit from delivery service than fine dining ones after COVID-19 restrictions were eased. • Discount options failed to increase sales during the pandemic. • Brand effects on restaurant financial performance were stronger after the COVID-19 outbreak. To contain the pandemic of coronavirus (COVID-19), social distancing, self-isolation and travel restrictions have been imposed globally. To shed light on how COVID-19 is affecting restaurant industry, this study aims to explore the factors that affect restaurant firms' financial turnaround for their sustainability after the business shutdowns amid the COVID-19 pandemic. By utilizing a total of 86,507 small- and medium-sized restaurant firms' sales data collected from nine cities in Mainland China, the exploratory approach of this study successfully determines positive impacts of three aspects of operational characteristics (i.e., delivery, discounts, and service type) and brand effects as uncertainty minimizing factors amid distinctive business shutdowns and restrictions. This is the first empirical study in the management realm on the impacts of COVID-19 on restaurant industry. This paper strengthens the extant literature by highlighting the impact of COVID-19 on the restaurant industry after the business restrictions are lifted. [ABSTRACT FROM AUTHOR]

• Organizations in the hospitality industry need to ensure safe operation by facilitating employee compliance with COVID-19 safety measures. • A four-stage deep compliance: heightened risk and health awareness, perceived utility value, behavioral adaptation, and integration. • The deep compliance is driven by management safety practices and organization crisis response strategies prioritizing safety and job security. The COVID-19 health crisis has engendered a set of additional health and safety regulations and procedures (e.g. social distancing) to the hospitality industry. The purpose of this paper is to explore in-depth how organizations can facilitate employees' deep compliance with these procedures. Employing an instrumental case-study approach, we collected multi-level interview data and archival data in a small-medium sized restaurant in China. The findings reveal that employees' deep compliance with safety procedures includes a four-stage psychological process, and this process is underpinned by both management safety practices and organizational crisis strategies. As the hospitality industry starts to exit lockdown and ramp up operations, this study offers theoretical and practical insights on how organizations in hospitality can protect the health and safety of their employees and the broader community. [ABSTRACT FROM AUTHOR]

Before the outbreak of COVID-19, I planned to apply child-centred research methods to conduct creative workshops in the school and participant observations in family settings. Keywords: Left-behind children; social media; long-distance communication; family relationships; remote research EN Left-behind children social media long-distance communication family relationships remote research 126 129 4 03/08/21 20210201 NES 210201 This commentary discusses various ethical and practical issues involved in the modification of the research design of my doctoral project, as a result of COVID-19, which aims to examine the role of social media within separated families in the context of internal migration in China, and find out how left-behind children use social media to communicate with their migrant parents. [Extracted from the article]

COVID-19 (SARS-CoV-2) is currently a global pandemic. This paper will attempt to estimate global infection rates and potential resultant mortality in the absence of effective treatment and/or vaccination. Calculations are based on World Health Organisation data from Wuhan in China: 14% of infected cases are severe, 5% require intensive care and 4% die. Estimated infection rates and mortality rates at the level of continents and some individual countries (when these are of sufficient size) are tabulated. This pandemic may cause close to half a billion deaths, i.e. 6% of the global population - and potentially more. At the risk of sounding sensational, but with a sober sense of realism, healthcare risks being plunged into the Middle-Ages if the public do not do their part. Infection cannot occur in the absence of contact. The only way to mitigate these numbers is to apply social distancing and take the standard precautions so frequently reiterated by Public Health: hand washing, avoid touching the face and so on. These measures are crucial as the human cost is going to be unthinkable even in the best-case scenarios that epidemiologists are modelling. [ABSTRACT FROM AUTHOR]