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

References

• Bekalu, M. A., & Eggermont, S. (2015). Exposure to HIV/AIDS-related media content and HIV testing intention: Applying the integrative model of behavioral prediction. Mass Communication & Society, 18(2), 144–164. https://doi.org/10.1080/15205436.2013.878362
   Web of Science ®Google Scholar
• Bish, A., & Michie, S. (2010). Demographic and attitudinal determinants of protective behaviours during a pandemic: A review. British Journal of Health Psychology, 15(4), 797–824. https://doi.org/10.1348/135910710X485826
   PubMed Web of Science ®Google Scholar
• Bleakley, A., Hennessy, M., Fishbein, M., & Jordan, A. (2011). Using the integrative model to explain how exposure to sexual media content influences adolescent sexual behavior. Health Education & Behavior, 38(5), 530–540. https://doi.org/10.1177/1090198110385775
   PubMed Web of Science ®Google Scholar
• Boulay, M., Storey, J. D., & Sood, S. (2002). Indirect exposure to a family planning mass media campaign in Nepal. Journal of Health Communication, 7(5), 379–399. https://doi.org/10.1080/10810730290001774
   PubMed Web of Science ®Google Scholar
• Chatterjee, J. S., Bhanot, A., Frank, L. B., Murphy, S. T., & Power, G. (2009). The importance of interpersonal discussion and self-efficacy in knowledge, attitude, and practice models. International Journal of Communication, 3, 607–634. https://ijoc.org/index.php/ijoc/article/view/444/337
   Web of Science ®Google Scholar
• Cialdini, R. B., Reno, R. R., & Kallgren, C. A. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58(6), 1015–1026. https://doi.org/10.1037/0022-3514.58.6.1015
   Web of Science ®Google Scholar
• Cline, R. J. W. (2003). Everyday interpersonal communication and health. In T. L. Thompson, A. Dorsey, R. Parrott, & K. Miller, (Eds.), The routledge handbook of health communication (pp. 285–314). Routledge. https://doi.org/10.4324/9780203846063.ch24.
   Google Scholar
• DeVellis, R. F. (2016). Scale development: Theory and applications (Vol. 26). Sage.
   Google Scholar
• Duffy, M. E., & Thorson, E. (2009). Emerging trends in the new media landscape. In J. C. Parker & E. Thorson (Eds.), Health communication in the new media landscape (pp. 93–116). Springer.
   Google Scholar
• Duong, H. T., & Parker, L. (2018). Going with the flow: Young motorcyclists’ misperceived norms and motorcycle speeding behaviour. Journal of Social Marketing, 8(3), 314–332. https://doi.org/10.1108/JSOCM-10-2017-0064
   Web of Science ®Google Scholar
• Duong, H. T., Vu, H. T., & Nguyen, L. T. V. (2020). Influenced by anonymous others: Effects of online comments on risk perception and intention to communicate. Health Communication, 36(7), 909–919. https://doi.org/10.1080/10410236.2020.1723050
   PubMed Web of Science ®Google Scholar
• Duong, H. T., Vu, H. T., & Nguyen, N. (2019). Activists’ strategic communication in an authoritarian setting: Integrating social movement framing into issues management. International Journal of Strategic Communication, 13(2), 133–151. https://doi.org/10.1080/1553118X.2019.1590366
   Google Scholar
• Fishbein, M. (2009). An integrative model for behavioral prediction and its application to health promotion. In R. J. DiClemente, R. A. Crosby, & M. C. Kegler (Eds.), Emerging theories in health promotion practice and research (2nd ed.) (pp. 215–234). Wiley.
   Google Scholar
• Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. Psychological Press.
   Google Scholar
• Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). Guilford.
   Google Scholar
• Helme, D. W., Noar, S. M., Allard, S., Zimmerman, R. S., Palmgreen, P., & McClanahan, K. J. (2011). In-depth investigation of interpersonal discussions in response to a safer sex mass media campaign. Health Communication, 26(4), 366–378. https://doi.org/10.1080/10410236.2010.551582
   PubMed Web of Science ®Google Scholar
• Hendriks, H., de Bruijn, G. J., Meehan, O., & van den Putte, B. (2016). Online and offline conversations about alcohol: Comparing the effects of familiar and unfamiliar discussion partners. Journal of Health Communication, 21(7), 734–742. https://doi.org/10.1080/10810730.2016.1153766
   Google Scholar
• Hornik, R., & Yanovitzky, I. (2003). Using theory to design evaluations of communication campaigns: The case of the national youth anti-drug media campaign. Communication Theory, 13(2), 204–224. https://doi.org/10.1111/j.1468-2885.2003.tb00289.x
   PubMed Web of Science ®Google Scholar
• Hornik, R. C. (2002). Exposure: Theory and evidence about all the ways it matters. Social Marketing Quarterly, 8(3), 31–37. https://doi.org/10.1080/15245000214135
   Google Scholar
• Jamieson, N. L. (1995). Understanding Vietnam. University of California Press.
   Google Scholar
• Jeong, M., & Bae, R. E. (2018). The effect of campaign-generated interpersonal communication on campaign-targeted health outcomes: A meta-analysis. Health Communication, 33(8), 988–1003. https://doi.org/10.1080/10410236.2017.1331184
   PubMed Web of Science ®Google Scholar
• Lapinski, M. K., & Rimal, R. N. (2005). An explication of social norms. Communication Theory, 15(2), 127–147. https://doi.org/10.1111/j.1468-2885.2005.tb00329.x
   Web of Science ®Google Scholar
• Linh, D. P., & Tam, H. T. (2020). How a collectivistic society won the first battle against COVID-19: Vietnam and their “weapons”. Inter-Asia Cultural Studies, 21(4), 506–520. https://doi.org/10.1080/14649373.2020.1831811
   Web of Science ®Google Scholar
• Ludolph, R., Schulz, P. J., & Chen, L. (2018). Investigating the effects of mass media exposure on the uptake of preventive measures by Hong Kong residents during the 2015 MERS outbreak: The mediating role of interpersonal communication and the perception of concern. Journal of Health Communication, 23(1), 1–8. https://doi.org/10.1080/10810730.2017.1388455
   PubMed Web of Science ®Google Scholar
• Ministry of Health (August, 7, 2020). Bộ Y tế phát động Chiến dịch truyền thông “Niềm tin chiến thắng” [The Ministry of Health launched the communication campaign “Believe in Victory.”] https://moh.gov.vn/tin-tong-hop/-/asset_publisher/k206Q9qkZOqn/content/bo-y-te-phat-ong-chien-dich-truyen-thong-niem-tin-chien-thang-
   Google Scholar
• Ministry of Information and Communication. (2021). Người dùng Việt ngày càng “nghiện” smartphone [Vietnamese people are increasingly “addicted” to smartphone]. https://ictvietnam.vn/nguoi-dung-viet-ngay-cang-nghien-smartphone-20210511110036574.htm
   Google Scholar
• Noar, S. M., Palmgreen, P., Chabot, M., Dobransky, N., & Zimmerman, R. S. (2009). A 10-year systematic review of HIV/AIDS mass communication campaigns: Have we made progress? Journal of Health Communication, 14(1), 15–42. https://doi.org/10.1080/10810730802592239
   PubMed Web of Science ®Google Scholar
• Paek, H. J., Oh, S. H., & Hove, T. (2016). How fear-arousing news messages affect risk perceptions and intention to talk about risk. Health Communication, 31(9), 1051–1062. https://doi.org/10.1080/10410236.2015.1037419
   PubMed Web of Science ®Google Scholar
• Rogers, E. M., & Storey, J. D. (1987). Communication campaigns. In C. R. Berger & S. H. Chafee (Eds.), Handbook of communication science (pp. 817–846). Sage.
   Google Scholar
• Rogers, R. W. (1983). Cognitive and psychological processes in fear appeals and attitude change: A revised theory of protection motivation. In Social psychophysiology: A sourcebook(pp. 153–176). Guilford. https://www.worldcat.org/title/social-psychophysiology-a-sourcebook/oclc/8785039
   Google Scholar
• Seo, M., & Matsaganis, M. D. (2013). How interpersonal communication mediates the relationship of multichannel communication connections to health-enhancing and health-threatening behaviors. Journal of Health Communication, 18(8), 1002–1020. https://doi.org/10.1080/10810730.2013.768726
   PubMed Web of Science ®Google Scholar
• Smith, R. A., Kim, Y., Zhu, X., Doudou, D. T., Sternberg, E. D., & Thomas, M. B. (2018). Integrating models of diffusion and behavior to predict innovation adoption, maintenance, and social diffusion. Journal of Health Communication, 23(3), 264–271. https://doi.org/10.1080/10810730.2018.1434259
   PubMed Web of Science ®Google Scholar
• Southwell, B. G., & Yzer, M. C. (2007). The roles of interpersonal communication in mass media campaigns. Annals of the International Communication Association, 31(1), 420–462. https://doi.org/10.1080/23808985.2007.11679072
   Google Scholar
• Southwell, B. G., & Yzer, M. C. (2009). When (and why) interpersonal talk matters for campaigns. Communication Theory, 19(1), 1–8. https://doi.org/10.1111/j.1468-2885.2008.01329.x
   Web of Science ®Google Scholar
• Tran, T. P. T., Le, T. H., Nguyen, T. N. P., & Hoang, V. M. (2020). Rapid response to the COVID-19 pandemic: Vietnam government’s experience and preliminary success. Journal of Global Health, 10(2), 1–14. https://doi.org/10.7189/jogh.10.020502
   Web of Science ®Google Scholar
• Tsao, S., Chen, H., Tisseverasinghe, T., Yang, Y., Li, L., & Butt, Z. A. (2021). What social media told us in the time of COVID-19: A scoping review. Lancet Digit Health, 3, 175–194. https://doi.org/10.1016/S2589-7500(20)30315-0
   PubMedGoogle Scholar
• Valente, T. W. (1996). Mass-media-generated interpersonal communication as sources of information about family planning. Journal of Health Communication, 1(3), 247–266. https://doi.org/10.1080/108107396128040
   PubMedGoogle Scholar
• Valente, T. W., & Saba, W. P. (2001). Campaign exposure and interpersonal communication as factors in contraceptive use in Bolivia. Journal of Health Communication, 6(4), 303–322. https://doi.org/10.1080/108107301317140805
   PubMed Web of Science ®Google Scholar
• van den Putte, B., Yzer, M., Southwell, B. G., de Bruijn, G.-J., & Willemsen, M. C. (2011). Interpersonal communication as an indirect pathway for the effect of antismoking media content on smoking cessation. Journal of Health Communication, 16(5), 470–485. https://doi.org/10.1080/10810730.2010.546487
   PubMed Web of Science ®Google Scholar
• Yen, Y. (2020, July 7). Zalo của Bộ Y tế gửi hơn 3,5 tỷ thông báo về Covid-19 đến người dân [The MoH sent over 3.5 billion Covid-19 prevention messages through Zalo to people]. Nhan Dan. https://nhandan.com.vn/thong-tin-so/zalo-cua-bo-y-te-gui-hon-3-5-ty-thong-bao-ve-covid-19-den-nguoi-dan-607756/
   Google Scholar
• Yoo, W. (2019). How risk communication via Facebook and Twitter shapes behavioral intentions: The case of fine dust pollution in South Korea. Journal of Health Communication, 24(7–8), 663–673. https://doi.org/10.1080/10810730.2019.1655607
   PubMed Web of Science ®Google Scholar