BACKGROUND: Governments and public health agencies worldwide experienced difficulties with social media-mediated infodemics on the internet during the COVID-19 pandemic. Existing public health crisis communication strategies need to be updated. However, crisis communication experiences of governments and public health agencies worldwide during the COVID-19 pandemic have not been systematically compiled, necessitating updated crisis communication strategies.
OBJECTIVE: This systematic review aims to collect and organize the crisis communication experiences of senders (ie, governments and public health agencies) during the COVID-19 pandemic. Our focus is on exploring the difficulties that governments and public health agencies experienced, best practices in crisis communication by governments and public health agencies during the COVID-19 pandemic in times of infodemic, and challenges that should be overcome in future public health crises.
METHODS: We plan to begin the literature search on May 1, 2024. We will search PubMed, MEDLINE, CINAHL, PsycINFO, PsycARTICLES, Communication Abstracts, and Web of Science. We will filter our database searches to search from the year 2020 and beyond. We will use a combination of keywords by referring to the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, and Research type) tool to search the abstracts in databases. We intend to include qualitative studies on crisis communication by governments and public health agencies (eg, officials, staff, health professionals, and researchers) to the public. Quantitative data-based studies will be excluded. Only papers written in English will be included. Data on study characteristics, study aim, participant characteristics, methodology, theoretical framework, object of crisis communication, and key results will be extracted. The methodological quality of eligible studies will be assessed using the Joanna Briggs Institute critical appraisal checklist for qualitative research. A total of 2 independent reviewers will share responsibility for screening publications, data extraction, and quality assessment. Disagreement will be resolved through discussion, and the third reviewer will be consulted, if necessary. The findings will be summarized in a table and a conceptual diagram and synthesized in a descriptive and narrative review.
RESULTS: The results will be systematically integrated and presented in a way that corresponds to our research objectives and interests. We expect the results of this review to be submitted for publication by the end of 2024.
CONCLUSIONS: To our knowledge, this will be the first systematic review of the experiences of governments and public health agencies regarding their crisis communication to the public during the COVID-19 pandemic. This review will contribute to the future improvement of the guidelines for crisis communication by governments and public health agencies to the public.
BACKGROUND: PROSPERO CRD42024528975; https://tinyurl.com/4fjmd8te.
UNASSIGNED: PRR1-10.2196/58040.

BACKGROUND: Predicting vaccination behaviors accurately could provide insights for health care professionals to develop targeted interventions.
OBJECTIVE: The aim of this study was to develop predictive models for influenza vaccination behavior among children in China.
METHODS: We obtained data from a prospective observational study in Wuxi, eastern China. The predicted outcome was individual-level vaccine uptake and covariates included sociodemographics of the child and parent, parental vaccine hesitancy, perceptions of convenience to the clinic, satisfaction with clinic services, and willingness to vaccinate. Bayesian networks, logistic regression, least absolute shrinkage and selection operator (LASSO) regression, support vector machine (SVM), naive Bayes (NB), random forest (RF), and decision tree classifiers were used to construct prediction models. Various performance metrics, including area under the receiver operating characteristic curve (AUC), were used to evaluate the predictive performance of the different models. Receiver operating characteristic curves and calibration plots were used to assess model performance.
RESULTS: A total of 2383 participants were included in the study; 83.2% of these children (n=1982) were <5 years old and 6.6% (n=158) had previously received an influenza vaccine. More than half (1356/2383, 56.9%) the parents indicated a willingness to vaccinate their child against influenza. Among the 2383 children, 26.3% (n=627) received influenza vaccination during the 2020-2021 season. Within the training set, the RF model showed the best performance across all metrics. In the validation set, the logistic regression model and NB model had the highest AUC values; the SVM model had the highest precision; the NB model had the highest recall; and the logistic regression model had the highest accuracy, F1 score, and Cohen κ value. The LASSO and logistic regression models were well-calibrated.
CONCLUSIONS: The developed prediction model can be used to quantify the uptake of seasonal influenza vaccination for children in China. The stepwise logistic regression model may be better suited for prediction purposes.

This comprehensive meta-analysis investigates the significant factors influencing consumer decision-making in e-commerce. Predominantly focusing on the parameters of trust, perceived risk, perceived security, and electronic word-of-mouth (e-WOM), this study provides insightful revelations on their integral roles in shaping e-commerce purchasing decisions. The findings demonstrate that trust, perceived risk, perceived security, and e-WOM significantly influence consumers\' e-commerce purchasing decisions. Perceived Risk plays a substantial moderating role in the relationship between Trust and e-commerce purchasing decisions, amplifying the importance of managing and minimizing risk in online transactions to cultivate consumer trust. Contrastingly, the roles of Perceived Security and e-WOM do not hold the same moderating effect on the trust-purchasing decision nexus, underscoring the direct yet unmoderated influence these factors have on e-commerce purchasing behaviors. Furthermore, The research reveals no significant size effect difference among respondents from high-income and low-income countries or between general internet users and online shoppers concerning the impact of trust on e-commerce purchasing decisions. This intriguing finding suggests the universal importance of trust in the digital purchasing landscape, irrespective of socio-economic status or the degree of e-commerce engagement. This study thus sheds new light on the complexities of e-commerce decision-making processes. It offers valuable insights for businesses aiming to enhance consumer trust and engagement in the expanding digital marketplace.

The digital revolution provides many opportunities for researchers to develop and evolve data collection methods. A key process in qualitative research data collection is the transcription of interviews, focus groups or fieldwork notes. Transcription is the process of converting audio, video or notes into accessible written format for qualitative data analysis. Transcribing can be time intensive, costly and laborious with decisions and methods of transcribing requiring transparency. The development of intelligent speech recognition technology can change how qualitative data is transcribed. This methods paper describes audio data transcribing, current challenges, opportunities and implications in using intelligent speech recognition technology for transcribing. An application of this methodology is presented.

The main objective of this study is the effect of Internet use on the subjective well-being of older adults. Based on the China General Social Survey 2021 cross-sectional data, 11 variables were selected from the perspective of sociology and demography. These variables include one dependent variable, three independent variables, and seven control variables. A binary logistic model was used to study the effects of the three dimensions of Internet use in the digital age (independent variables) on the subjective well-being of the elderly (dependent variable) with the elderly as the research object (N = 1836). The results of the study revealed that Internet use (P < 0.001, Exp(B) = 1.567), information sources (P < 0.001, Exp(B) = 1.695), and frequency of Internet use (P < 0.001, Exp(B) = 0.858) of the elderly had significant effects on their subjective well-being. To improve the subjective well-being of the elderly in the digital era, this paper proposes the following suggestions and countermeasures: 1) strengthen the digital infrastructure for the elderly and create an \"Internet + elderly\" model; 2) formulate relevant protective policies to promote Internet use among the elderly; 3) regulate the frequency of Internet access to maintain a balance between the virtual and real world. Conclusion: A thoughtful digitalization approach for the elderly can ensure they keep up with the times, bridge the \"digital divide\" between generations, extend their working lives, and enhance their subjective well-being. This study has some limitations. The object of the study is only the elderly in China, while the elderly in every country in the world have certain differences in subjective or objective conditions.

During the COVID-19 pandemic, the rapid scaling of telehealth limited the extent to which proactive planning for equitable implementation was possible. The deployment of telehealth will persist in the postpandemic era, given patient preferences, advances in technologies, growing acceptance of telehealth, and the potential to overcome barriers to serve populations with limited access to high-quality in-person care. However, aspects and unintended consequences of telehealth may leave some groups underserved or unserved, and corrective implementation plans that address equitable access will be needed. The purposes of this paper are to (1) describe equitable implementation in telehealth and (2) integrate an equity lens into actionable equitable implementation.

Personal information, including health-related data, may be used in ways we did not intend when it was originally shared. However, the organizations that collect these data do not always have the necessary social license to use and share it. Although some technology companies have published principles on the ethical use of artificial intelligence, the foundational issue of what is and is not acceptable to do with data, not just the analytical tools to manage it, has not been fully considered. Furthermore, it is unclear whether input from the public or patients has been included. In 2017, the leadership at a web-based patient research network began to envision a new kind of community compact that laid out what the company believed, how the company should behave, and what it promised both to the individuals who engaged with them and to the community at large. While having already earned a social license from patient members as a trusted data steward with strong privacy, transparency, and openness policies, the company sought to protect and strengthen that social license by creating a socially and ethically responsible data contract. Going beyond regulatory and legislative requirements, this contract considered the ethical use of multiomics and phenotypic data in addition to patient-reported and generated data.
A multistakeholder working group sought to develop easy-to-understand commitments that established expectations for data stewardship, governance, and accountability from those who seek to collect, use, and share personal data. The working group cocreated a framework that was radically patient-first in its thinking and collaborative in the process of its codevelopment; it reflected the values, ideas, opinions, and perspectives of the cocreators, inclusive of patients and the public.
Leveraging the conceptual frameworks of cocreation and participatory action research, a mixed methods approach was used that included a landscape analysis, listening sessions, and a 12-question survey. The methodological approaches used by the working group were guided by the combined principles of biomedical ethics and social license and shaped through a collaborative and reflective process with similarities to reflective equilibrium, a method well known in ethics.
Commitments for the Digital Age are the output of this work. The six commitments in order of priority are (1) continuous and shared learning; (2) respect and empower individual choice; (3) informed and understood consent; (4) people-first governance; (5) open communication and accountable conduct; and (6) inclusivity, diversity, and equity.
These 6 commitments-and the development process itself-have broad applicability as models for (1) other organizations that rely on digitized data sources from individuals and (2) patients who seek to strengthen operational policies for the ethical and responsible collection, use, and reuse of that data.

UNASSIGNED: Sharing cultural values in this digital age for young generations who are digital natives is highly important and, in this respect, the aims of this study are to evaluate experts\' opinions on sharing cultural values in this digital age based on their experience, the roles of educators and families with respect to the sharing of cultural values through storytelling in the digital age, and also capture how cultural values can be explained with metaphors.
UNASSIGNED: A focus group interview was conducted with teachers and vice headmasters from public primary and secondary schools in the Northern part of Cyprus within the age range of 30-50 years that are considered to be experts based on their 10 years and above of teaching experience. Data were analyzed through line-by-line coding to create themes.
UNASSIGNED: Findings revealed that cultural values are eroding, and in sharing cultural values with storytelling in the digital age, the roles of educators and families are essential. Cultural values are the treasures and mirrors of society that should be preserved and transmitted to the younger generations and this can be accomplished through participation in digital platforms, and when such participatory cultural heritage projects are planned with a community-oriented background and human-centered computing concentration.
UNASSIGNED: This research sheds a light to indicate the importance of the storytelling approach for sharing cultural values and heritage. It is significant to address the merits of technology in transferring cultural values and heritage. In addition to this, this study is limited to one specific context that can be further explored as a cross-cultural analysis.

Disciplines in Higher Education have their own interpretations of what is essential knowledge that influences what is taught, how teaching occurs, and the role of digital tools. Disciplinary culture is dynamic and evolving, informed by disciplinary research and technology improvement. During the COVID-19 pandemic, digital solutions enabled ongoing teaching when undergraduate courses could not be taught on campus, in lecture theatres, seminar rooms, laboratories, or in the field. Using digital tools and changes in teaching practices has created a context where Higher Education teachers must consider how future learning and teaching should occur. To explore this, a cross-discipline team used appreciative inquiry framed in complexity theory to examine how teaching in undergraduate programmes is changing in the digital age and implications for Higher Education teachers. The research identifies how digital technologies influence undergraduate programmes in Applied Statistics, Computer Science, Critical Indigenous Studies, Geography, and Information Systems. Analysis of the case studies identified how disciplinary culture, context, and technology combine to influence pedagogical practice and digital capabilities needed to teach in undergraduate programmes. We conclude that Higher Education teachers require capability in appropriate pedagogical practice that aligns with disciplinary culture and the technologies available.

UNASSIGNED: The inception of Industry 4.0 (which includes smart digital technologies and intelligence), as well as the rapidly enforced adoption of the technological revolution due to the lockdown regulations during the COVID-19 pandemic, brought new situational demands, challenges and opportunities for both employees and organizations across the globe. Individuals are required to develop personal enablers (both intrapersonal and intradigital attributes) to optimize their psychological fortitude. Research on the intrapersonal resources needed by employees to have the fortitude to adapt to remote working conditions as a result of the digital era, is currently lacking. The igital era brought about the question of how individuals\' career adaptability and career wellbeing (as a set of agile adaptable attributes) relate to their perceptions of the value-oriented psychological contract, and whether these intrapersonal resources can contribute to a psychological fortitude model for remote working employees.
UNASSIGNED: This study utilized a survey method to investigate the correlations between agile adaptable attributes and the valueoriented psychological contract of global digital-mindset human resource and financial service organizations. Based on further canonical correlations, structural equation modeling was conducted to develop and recommend a psychological fortitude model for remote working adults in the digital age.
UNASSIGNED: Close theoretical and empirical associations were found between career adaptability and career wellbeing (as agile adaptable variables) and the perceived value-orientated psychological contract.
UNASSIGNED: This study proposed a psychological fortitude model (consisting of intrapersonal resources) that organizations and career practitioners can use as a basis to enhance employees\' psychological fortitude in the digital age, as well as for further career research.