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The SARS-Cov2 pandemic has generated considerable debate about the role of vaccines in the fight against epidemics and the sensitivity and acceptability of new vaccines in emergency situations. The aim of this paper is to examine the nature of the relationship between remittances as an additional source of income and the acceptance of the COVID-19 vaccine and to provide an overview of the determinants of acceptance or hesitancy of the COVID-19 vaccine. It uses logistic regression and propensity score matching to study the relationship between remittances and COVID-19 vaccine acceptance. Using data from the Arab Barometer survey (2021–2022) for 10 Middle East and North Africa (MENA) countries, the results indicate that the number of people vaccinated among remittance recipients is higher than among those who do not receive remittances. The impact of international migration on vaccine acceptance in countries of origin can be seen in the transfer of norms and beliefs from host countries.

The paper uses logistic regression and propensity score matching to study the relationship between remittances and COVID-19 vaccine acceptance. using data from the Arab Barometer survey (2021–2022) for 10 MENA countries.

The results indicate that the number of people vaccinated among remittance recipients is higher than among those who do not receive remittances. The impact of international migration on vaccine acceptance in countries of origin can be seen in the transfer of norms and beliefs from host countries.

Other variables possibly linked to vaccine acceptance can be incorporated into the study.

In countries of origin, international migration should be taken into account in health policies. The convergence of health standards between developed and developing countries can also be achieved through international migration.

The link between migration, through remittances as a proxy for norm transfers, and health, particularly vaccine acceptance in a period of health crisis, has never been addressed in the literature.

As the Philippines enters into the era of the “next normal,” that is, from the pandemic era called the “new normal,” we look into how the Philippines' state of tourism and built environment sectors. We also revisit its situation having the “longest lockdown in the world” and look into iterations of socioeconomic models, business platforms, and other elements that lead to the dream of a postpandemic sustainable tourism industry. In this inquiry, we highlight the importance of elements of the built environment, both at the macroeconomic level and at the micro units of business, civil society, and the tourism sector at large. While there has been a substantive discussion on the nexus of the tourism and built environment sectors, little has been devoted to the challenges these intertwined sectors faced during the COVID-19 pandemic. We suggest complementation of practices from the macroscale to the microlevel tourism and built environment sectors, and vice-versa, which will ensure the full complementation of the sectors. These proposals are in full contextualization of the objective toward the postpandemic continued recovery, growth, and sustainability, from the local, national, and the regional economy of Southeast Asia, and also to various parts of the world.

Widespread news coverage, politicised debate and social media commentary have given prominence to COVID-19 as an unparalleled threat to global health and mortality, intensifying panic and insecurity worldwide. In response, the endorsement and amplification of false claims about the pandemic has proliferated, in many cases, by public figures in the online ‘wellness’ realm. Using COVID-19 as a case study, this chapter interrogates observed connections between digital wellness cultures and informational disorders in times of crisis. The authors discuss the bourgeois liberal-individualist ideals that increasingly underpin much of this communication, exemplified through the co-option of social justice rhetoric and narratives of the ‘persecuted hero’. The authors also recognise the growing number of wellness influencers openly resisting pandemic-related mis/disinformation, and note the forms of anti-individualist, mutual care demonstrated in these ‘debunking’ efforts. The authors argue that these practices reflect a form of networked solidarity – enacted alongside a discursive distancing from individualist modes of thinking – that can be understood by applying a social ecological framework for understanding ‘resilience’.

The paper aims to construct a spatiotemporal situational awareness framework to sense the evolutionary situation of public opinion in social media, thus assisting relevant departments in formulating public opinion control measures for specific time and space contexts.

The spatiotemporal situational awareness framework comprises situational element extraction, situational understanding and situational projection. In situational element extraction, the data on the COVID-19 vaccine, including spatiotemporal tags and text contents, is extracted. In situational understanding, the bidirectional encoder representation from transformers – latent dirichlet allocation (BERT-LDA) and bidirectional encoder representation from transformers – bidirectional long short-term memory (BERT-BiLSTM) are used to discover the topics and emotional labels hidden in opinion texts. In situational projection, the situational evolution characteristics and patterns of online public opinion are uncovered from the perspective of time and space through multiple visualisation techniques.

From the temporal perspective, the evolution of online public opinion is closely related to the developmental dynamics of offline events. In comparison, public views and attitudes are more complex and diversified during the outbreak and diffusion periods. From the spatial perspective, the netizens in hotspot areas with higher discussion volume are more rational and prefer to track the whole process of event development, while the ones in coldspot areas with less discussion volume pay more attention to the expression of personal emotions. From the perspective of intertwined spatiotemporal, there are differences in the focus of attention and emotional state of netizens in different regions and time stages, caused by the specific situations they are in.

The situational awareness framework can shed light on the dynamic evolution of online public opinion from a multidimensional perspective, including temporal, spatial and spatiotemporal perspectives. It enables decision-makers to grasp the psychology and behavioural patterns of the public in different regions and time stages and provide targeted public opinion guidance measures and offline event governance strategies.

This study aims to examine consumer perception during COVID-19 and identifies cruise industry marketing strategies to fill a gap in crisis management and product pricing literature.

This study developed and validated two-factor measurement scales (vaccine perception and protective behavior), which predicted cruise intents well. This study revealed how geo-regional factors affect consumer psychology through spatial analysis.

This study recommended pricing 7-day cruises at $1,464 (the most preferred length). The results also showed that future price hikes would not affect demand and that coastal marketing would help retain customers.

This study contributed to the business, hospitality and tourism literature by identifying two new and unique factors (vaccine perception and protective behaviors), which were found to affect consumers’ intention to travel by cruise significantly. The result provided a better understanding of cruise tourists’ pricing preferences and the methods utilized could easily be applied to other cruise markets or tourism entities.

An identification card facilitates access to municipal services for migrants with precarious status (MPS) in Montreal. The purpose of this study was to explore from MPS’ perspective the utility of the identity (ID) card and its influence on social inclusion for MPS.

A sequential explanatory mixed methods design was used. First, a descriptive phone survey was administered (n = 119). Associations between ID card use and levels of social inclusion were assessed using ordinal logistic regression. Second, semi-structured interviews (n = 12) were done with purposely selected participants. Results were mixed using a statistics-by-theme approach.

Results showed that ID card users compared to nonusers reported higher levels of participation in society and more control/independence in daily life. No statistical associations were found between card use and sense of belonging nor sense of safety. Interviews highlighted that the ID card enabled participation in socio-recreational activities and perceived empowerment. A heightened sense of belonging was also found. Interview participants expressed fear of police despite owning the ID card.

Overall, although the municipal ID card promoted social inclusion for MPS, there is a need to render the ID card official to fully achieve this goal. Findings can inform the creation of public policies that foster inclusion and health of MPS in cities around the world.

Evaluation from MPS’ perspectives of the first ID card program of its kind in Canada.

Sharing and obtaining information over social media has enabled people to express their opinions regarding any event. Since the tweets regarding the Russia-Ukraine war were extensively publicized on social media, this study aims to analyse the temporal sentiments people express through tweets related to the war.

Relevant hashtag related to the Russia-Ukraine war was identified, and tweets were downloaded using Twitter API, which were later migrated to Orange Data mining software. Pre-processing techniques like transformation, tokenization, and filtering were applied to the extracted tweets. VADER (Valence Aware Dictionary for Sentiment Reasoning) sentiment analysis module of Orange software was used to categorize tweets into positive, negative and neutral ones based on the tweet polarity. For ascertaining the key and co-occurring terms and phrases in tweets and also to visualize the keyword clusters, VOSviewer, a data visualization software, was made use of.

An increase in the number of tweets is witnessed in the initial days, while a decline is observed over time. Most tweets are negative in nature, followed by positive and neutral ones. It is also ascertained that tweets from verified accounts are more impactful than unverified ones. russiaukrainewar, ukraine, russia, false, war, nato, zelensky and stoprussia are the dominant co-occurring keywords. Ukraine, Russia and Putin are the top hashtags for sentiment representation. India, the USA and the UK contribute the highest tweets.

The study tries to explore the public sentiments expressed over Twitter related to Russia-Ukraine war.

Over the last two decades, most organizations have considered technologies to drive digital transformation, and the recent pandemic has brought significant changes in the healthcare sector. Therefore, this study explores the technological nexus in supporting digital transformation as a process to govern the healthcare sector more effectively.

This study uses quantitative and qualitative methods to analyse the impact of ArogyaSetu (a health and wellness app) on India’s digital transformation process. The study involves 212 responses to understand how the app enables digital transformation and its impact on governance, healthcare systems and stakeholders. Additionally, 31 semi-structured interviews were conducted to validate the quantitative study’s findings.

Referring quantitative part of research design, ArogyaSetu has had a positive impact on the digital transformation of India’s healthcare industry, which has in turn affected stakeholders and improved governance. Moreover, qualitative findings suggest that a governance system like ArogyaSetu can aid in the development of dynamic capabilities within the healthcare system and governance.

This study adds to our understanding of the digital transformation of healthcare by examining it through the lens of dynamic capability. In this framework, “sense” refers to the stakeholders, “seize” the healthcare system and “transform” governance. The study also provides practical implications for managers, academics and government administrators responsible for digital healthcare transformation.

Many countries have a significant vaccination hesitancy rate regardless of vaccine prosperity. This study aims to identify factors restricting hesitancy and fostering vaccination intention and uptake against coronavirus in Vietnam.

The study has proposed an extended COM-B model based on the Theoretical Domains Framework to explore critical factors influencing vaccination intention and uptake in Vietnam. A database was collected from 1,015 suitable respondents who had received at least one dose of the COVID-19 vaccine, and ten hypotheses were tested by the partial least squares structural equation model.

The findings showed that six factors, including knowledge, experience, resource, social influence, belief and reinforcement, have either direct or indirect positive effects on COVID-19 vaccine uptake behavior. The output also indicated that personal experience positively affects vaccination intention and uptake.

This study contributes to understanding COVID-19 vaccine uptake behavior by identifying several direct and indirect factors of the extended COM-B model that include “knowledge” and “reinforcement” in shaping behavior change. The study adds to the literature on COVID-19 vaccine uptake behavior and could help achieve higher vaccination rates, ultimately leading to better control of the pandemic.