Preventing the COVID-19 Outbreak in Vietnam: Social Media Campaign Exposure and the Role of Interpersonal Communication

Duong, Hue Trong; Nguyen, Long; McFarlane, Soroya Julian; Nguyen, Hoa Thanh

doi:10.1080/10410236.2021.1953729

Cited by 31 publications

(16 citation statements)

References 30 publications

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“…The last group in this category comprised 8% (2/24) of the studies, aimed at assessing the success of certain campaigns. First, Duong et al [ 49 ] investigated the content and format of physical distancing messages directed at Vietnamese youths during the COVID-19 pandemic, concluding that perceived norms and self-efficacy did not fully account for the association between interpersonal communication and behavioral intentions. Second, Harris-Sagaribay et al [ 50 ] summarized the lessons learned through an observational retrospective study when it comes to improving information dissemination during a health care crisis.…”

Section: Resultsmentioning

confidence: 99%

Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review

et al. 2022

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Background Communicating strategically is a key issue for health organizations. Over the past decade, health care communication via social media and websites has generated a great deal of studies examining different realities of communication strategies. However, when it comes to systematic reviews, there is fragmentary evidence on this type of communication. Objective The aim of this systematic review was to summarize the evidence on web institutional health communication for public health authorities to evaluate possible aim-specific key points based on these existing studies. Methods Guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, we conducted a comprehensive review across 2 electronic databases (PubMed and Web of Science) from January 1, 2011, to October 7, 2021, searching for studies investigating institutional health communication. In total, 2 independent researchers (AN and SS) reviewed the articles for inclusion, and the assessment of methodological quality was based on the Kmet appraisal checklist. Results A total of 78 articles were selected. Most studies (35/78, 45%) targeted health promotion and disease prevention, followed by crisis communication (24/78, 31%), general health (13/78, 17%), and misinformation correction and health promotion (6/78, 8%). Engagement and message framing were the most analyzed aspects. Few studies (14/78, 18%) focused on campaign effectiveness. Only 23% (18/78) of the studies had an experimental design. The Kmet evaluation was used to distinguish studies presenting a solid structure from lacking studies. In particular, considering the 0.75-point threshold, 36% (28/78) of the studies were excluded. Studies above this threshold were used to identify a series of aim-specific and medium-specific suggestions as the communication strategies used differed greatly. Conclusions Overall, the findings suggest that no single strategy works best in the case of web-based health care communication. The extreme variability of outcomes and the lack of a unitary measure for assessing the end points of a specific campaign or study lead us to reconsider the tools we use to evaluate the efficacy of web-based health communication.

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Section: Resultsmentioning

confidence: 99%

Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review

et al. 2022

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“…Moreover, EMIT simulation component enables evaluating the effects of potential PIPs before implementing them, by estimating the impact of various isolated or combined counter-measures against disease spread. This crucial information should be taken into account during the process of policy development in order to devise the most efficient PIPs with regard to population behavior [ 50 , 51 , 52 ].…”

Section: Discussionmentioning

confidence: 99%

Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the US

Lazebnik

Bunimovich‐Mendrazitsky

Ashkenazi

et al. 2022

IJERPH

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Social media networks highly influence on a broad range of global social life, especially in the context of a pandemic. We developed a mathematical model with a computational tool, called EMIT (Epidemic and Media Impact Tool), to detect and control pandemic waves, using mainly topics of relevance on social media networks and pandemic spread. Using EMIT, we analyzed health-related communications on social media networks for early prediction, detection, and control of an outbreak. EMIT is an artificial intelligence-based tool supporting health communication and policy makers decisions. Thus, EMIT, based on historical data, social media trends and disease spread, offers an predictive estimation of the influence of public health interventions such as social media-based communication campaigns. We have validated the EMIT mathematical model on real world data combining COVID-19 pandemic data in the US and social media data from Twitter. EMIT demonstrated a high level of performance in predicting the next epidemiological wave (AUC = 0.909, F1 = 0.899).

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“…It indicates that interpersonal commitment is an antecedent of organizational commitment. Duong et al (2021) conceptualize interpersonal communication as individuals' conversations through both face-to-face and mediated platforms. Interpersonal communication involves a direct verbal or nonverbal interaction between two or more active participants.…”

Section: Interpersonal Communication and Teachers' Organizational Com...mentioning

confidence: 99%

Exploring the effect of psychological capital on teachers’ organizational commitment through interpersonal communication

Gustari

Widodo

2022

JKP

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This study explores the effect of psychological capital (PsyCap) on teachers' organizational commitment, mediated by interpersonal communication. The research data was collected by the questionnaire: PsyCap, interpersonal communication, and organizational commitment in a Likert scale model through the survey methods toward 303 teachers of State Junior High School in Indonesia. Data analysis uses path analysis supported by descriptive statistics and correlational. The results show that PsyCap affects teachers' organizational commitment through interpersonal communication. Thus, the teachers' organizational commitment can improve through PsyCap and interpersonal communication. This finding can be discussed as a reference among researchers and practitioners to develop better models of teachers' organizational commitment in various contexts in the future.

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Preventing the COVID-19 Outbreak in Vietnam: Social Media Campaign Exposure and the Role of Interpersonal Communication

Cited by 31 publications

References 30 publications

Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review

Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review

Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the US

Exploring the effect of psychological capital on teachers’ organizational commitment through interpersonal communication

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