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The years following the 9/11/2001 terrorists attacks saw a marked increase in community and hospital emergency preparedness, from communications across community networks, development of policies and procedures, to attainment and training in the use of biological warfare resources. Regular drills ensured emergency and health care personnel were trained and prepared to address the next large-scale crisis, especially from terrorist and bioterrorist attacks. This chapter looks at some of the more familiar global health issues over the past two decades and the lessons learned from hospital responses to inform hospital management in preparation for future incidents.

This study is a narrative review of the literature related to lessons learned from four major events in the time period from 2002 to 2023 – SARS, MERS, Ebola, and COVID-19.

The initial search yielded 25,913 articles; 57 articles were selected for inclusion in the study.

Comparison of key issues and lessons learned among the four major events described in this article – SARS, MERS, Ebola, and COVID-19 – highlight that several lessons are “relearned” with each event. Other key issues, such as supply shortages, staffing availability, and hospital capacity to simultaneously provide care to noninfectious patients came to the forefront during the COVID-19 pandemic. A primary, ongoing concern for hospitals is how to maintain their preparedness given competing priorities, resources, and staff time. This concern remains post-COVID-19.

Recently, the tourism industry in Asian countries has been adversely affected by two significant drivers: health emergencies and climatic changes. Virus outbreaks such as severe acute respiratory syndrome (SARS), Middle East respiratory syndrome coronavirus (MERS-CoV), Ebola, avian flu, Zika virus and H1N1 influenza virus have caused much greater damage to the tourism and travel industry of Asian countries as compared to the more localized natural disasters and crises such as tsunami, Kathmandu earthquake, Typhoon Mangkhut in Indonesia, etc., resulting in huge job losses, severe financial losses, shutdowns and human casualties. The purpose of this study is to briefly discuss the major viral outbreaks in the Asian countries and discuss their impact on the tourism industry. It will also discuss the resilience strategies taken by the Asian countries to re-emerge their tourism markets from these outbreaks. It will be based on the systematic review of the earlier literature on the various viral outbreaks and the corresponding resilience measures in the Asian peninsula. While the association between the pandemic and travel has been widely discussed in previous studies (Kuo, Chen, Tseng, Ju, & Huang, 2008; Lee, Son, Bendle, Kim, & Han, 2012), there is still no specific study which provides a comprehensive outlook on the various viral outbreaks and the tourism resilience strategies in Asia. It might also help the tourism industry stakeholders from the Asian countries to adequately identify and thoroughly plan for the possible future outbreaks and align resilience measures accordingly.

This study aims to analyse the factors that caused Indian tourists to avoid travelling abroad because of the recent outbreak of COVID-19 in 2020. It will also identify the relationship between the perceived risk of travelling and the probability of travel evading in India owing to COVID-19.

This study used an online structured questionnaire to collect data from Indian tourists to study six independent variables linked with their behavioural intentions (travel evading). The health belief model was used to examine tourist behaviour.

The results revealed a positive correlation between the perceived risk associated with COVID-19 and travel avoidance. Familiarity with COVID-19 was positively correlated with travel evading behaviours.

This study will assist stakeholders from around the world to adequately identify and thoroughly plan for logistical problems associated with travel such as travel insurance and pre-travel booking expenses to reduce travel evading behaviour and promote travel.

While a few studies have been conducted related to pandemics (Ebola, MERS-CoV, SARS), there is a paucity of literature that examines the factors which influence tourists’ travel evading behaviour owing to COVID-19. Moreover, most of the previous literature on pandemics is concentrated on American and European countries, whereas studies on the Indian sub-continent are very scarce. This study will fill this gap and will identify the factors which influence tourists in India to evade travel in response to COVID-19.

This study aims to propose that there may be a marketable segment of guests who are willing to pay a premium for guestrooms that are cleaned using enhanced disinfection techniques beyond the normal room cleaning procedures. Room cleanliness is important to hotel guests. Some hotel brands currently offer allergy-free rooms, charging a premium for this service. However, no hotel brands currently serve the market that is willing to pay more for enhanced disinfection. This exploratory study investigates whether there is such a segment and, if so, what price premium these customers are willing to pay for enhanced disinfection.

Survey methods were used to determine the consumer’s perceptions of hotel guestroom cleanliness; the effectiveness of traditional and enhanced cleaning methods; and willingness to pay for enhanced guestroom disinfection.

Younger travelers and female travelers of all ages may be willing to pay a significant price premium for enhanced disinfection of a hotel guestroom.

The survey instrument was administered via the Internet, limiting the sample. The study participants were not asked about hotel brand; thus, the results could not be analyzed by brand or service level.

Past research focuses only on traditional cleaning methods. This article provides a template for the hotel industry to explore the feasibility of offering enhanced cleanliness as a revenue-generating amenity.

In this study, workplace spirituality is discussed in the context of remote work and the COVID-19 pandemic. First, the focus is on the changes in the meaning and function of employees in the organization during the evolutionary process of industrialization and management paradigms. Afterward, conceptual frameworks for spirituality and workplace spirituality are presented, and in the last section, academic studies that deal with workplace spirituality with distance or hybrid work arrangements are included. Early studies offer insights and recommendations on conceptualizing, developing, and managing workplace spirituality. They all emphasize that spirituality is necessary for remote work as a tool to overcome stress and mental health problems and increase employee well-being. Unfortunately, the remote work and workplace spirituality literature is relatively narrow and needs to be expanded.

The world has faced various epidemic situations caused by different viruses such as SARS-Cov, MERS-Cov, Ebola and many more during the past few decades, SARS-Cov-2 (COVID-19) is the genetic variant of newly the discovered Coronavirus, which has been believed to spread from China during December 2019, which has created a catastrophic effect for the whole world. In the first quarter of 2020, the virus started to spread to different countries, in addition, the severity of cases, the mortality rate and the recovery rate varied between countries. In the Sultanate of Oman and different parts of the world, the COVID started to spike during the end of March 2020. In this research paper, COVID data for Gulf Cooperation Council (GCC) countries are extracted and analysis has been made based on different parameters. The analysis has been divided into two categories – the first part focuses on the total number of cases, the total number of recoveries and the total number of deaths and comparison has been made for different GCC countries, from these analyses, it gives a clear picture of the days of a particular month, which contributes to the increase of COVID cases. The second part focuses on finding out the indicators that are correlating with the COIVD-19 cases and deaths; it has been found that there is a very strong correlation between the total population and labour force of every GCC country with the corresponding COVID cases and deaths.

The entire research steps involved starts with data collection, data pre-processing and data analysis. The analysis has been divided into two categories – the first part focuses on the total number of cases, the total number of recoveries and the total number of deaths and comparisons has been made for different GCC countries. The second part focuses on finding out the indicators that are correlating with COIVD-19 cases and deaths.

It has been found that there is a very strong correlation between the total population and labour force of every GCC country with the corresponding COVID cases and deaths.

The data set considered is limited and can be extended further.

This research paper definitely provides a road map for practice, as this research provides details about the total number of active cases, death based on the days in different GCC countries. It has been observed that during the end of each month and during weekends, the total number of cases increases drastically, so by taking into consideration the governing bodies can impose a lockdown during these spike durations. In addition to it, the citizens and residents should make a practice to avoid or limit their movement during the spike durations, which was analysed by this research work.

The idea is the own idea and not copied from any other source.

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

While academia, industry and government have made various efforts to ameliorate the impacts of Covid-19, no study has hitherto used an integrative framework to assess the reactions of all three of these sectors to previous multinational epidemics. Such fragmentation ignores the holistic nature of crisis management. To better understand the impacts of health crises on tourism, this study aims to examine the past literature related to academic, industrial and governmental responses to multinational epidemics through the lens of the triple helix model.

Based on preferred reporting items for systematic reviews and meta-analyzes and the best-fit approach, this paper conducts a systematic review of the literature published between 2000 and 2020 on five multinational epidemics that had significant impacts on the tourism industry: food and mouth disease, severe acute respiratory syndrome, bird flu (novel influenza A and avian flu), Ebola and middle east respiratory syndrome. Thematic analysis was used to identify major themes in the 63 relevant articles identified.

No substantial increase was found in the quantity of multinational epidemic-related studies after 2010. Collectively, the 10 identified themes strongly emphasized economic recovery.

No existing tourism-related study examines reactions toward multiple health crises by integrating three important sectors: academia, industry and government. This study fills that research gap with a systematic review of past multinational epidemics and proposes an integrative framework. It also provides recommendations for future research and health-crisis management practices.

The main purpose of this study is to examine the role of the coronavirus disease 2019 (COVID-19) test on transmission data globally to reveal the fact that the actual picture of transmission history cannot be exposed if the countries do not perform the test adequately.

Using Our World in Data for 212 countries and areas and 162 time periods daily from December 31, 2019, to June 09, 2020, on an unbalanced panel framework, we have developed a panel-based path analysis model to explore the interdependence of various actors of COVID-19 cases of transmission across the globe. After controlling for per capita gross domestic product (GDP), age structure and government stringency, we explore the proposition that COVID-19 tests affect transmission positively. As an anecdote, we also explore the direct, indirect and total effects of different potential determinants of transmission cases worldwide and gather an idea about each factor's relative role in a structural equation framework.

Using the panel path model, we find that a 1 standard deviation change in the number of tests results in a 0.70 standard deviation change in total cases per million after controlling for several variables like per capita GDP, government stringency and age population (above 65).

It is not possible to get balanced data of COVID-19 for all the countries for all the periods. Similarly, the socioeconomic, political and demographic variables used in the model are not observed daily, and they are only available on an annual basis.

Countries which cannot afford to carry out more tests are also the countries where transmission rates are suppressed downward and negatively manipulated.

Cross country collaboration in terms of COVID-19 test instruments, vaccination and technology transfer are urgently required. This collaboration may be sought as an alternative to foreign development assistance.

This article provides an alternative approach to modeling COVID-19 transmission through the panel path model where the test is considered as an endogenous determinant of transmission, and the endogeneity has been channeled through per capita GDP, government stringency and age structure without using any regression-based modeling like pooled ordinary least squares (OLS), fixed-effects, two-stage least squares or generalized method of moments (GMM). Endogeneity has been handled without using any instruments.