全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Adherence to Quarantine Protocols to Prevent the Spread of COVID-19: The Moderating Effect of Social Media Campaigns

DOI: 10.4236/ajc.2021.93007, PP. 85-101

Keywords: COVID-19, Quarantine Protocols, Prevention, Theory of Planned Behavior, Social Media

Full-Text   Cite this paper   Add to My Lib

Abstract:

This study focuses on Metro Manila in the Philippines in preventing the spread of the novel coronavirus or COVID-19 through analyzing the moderating effect of social media campaigns on adherence to COVID-19 protocols. Metro Manila is the pandemic’s epicenter with a strict implementation of quarantine protocols set by the Local Government Units (LGUs). This study also examines the factors that influenced Metro Manila residents to adhere to quarantine measures. Four hundred thirteen residents (413) joined the survey consisting of sixteen (16) cities and one (1) municipality in Metro Manila. Using the Theory of Planned Behavior, the direct relationships between attitude, controllability, social media and adherence to quarantine protocols were significant. This implies that social media has directly influenced adherence to quarantine protocols. However, social media did not moderate the relationship between subjective norm and self-efficacy in the adherence to quarantine protocols. The relationship between subjective norm and self-efficacy in adherence to quarantine protocols was not significant either. It was not others such as family and peers who encouraged the resident to adhere, but it was his or her decision to survive and stay alive. Finally, the study shows the crucial role of social media in helping minimize the spread of COVID-19.

References

[1]  Agarwal, V. (2014). A/H1N1 Vaccine Intentions in College Students: An Application of the Theory of Planned Behavior. Journal of American College Health, 62, 416-424.
https://doi.org/10.1080/07448481.2014.917650
[2]  Ahorsu, D. K., Lin, C., Imani, V., Saffari, M., Griffiths, M., & Pakpour, A. (2020). The Fear of COVID-19 Scale: Development and Initial Validation. International Journal of Mental Health and Addiction, 1-9.
https://doi.org/10.1007/s11469-020-00270-8
[3]  Ajzen, I. (2006). Constructing a TPB Questionnaire: Conceptual and Methodological Considerations.
http://people.umass.edu/aizen/tpb.html
[4]  Ay, P., Teker, A. G., Hidiroglu, S., Tepel, P., Surmen, A., Sili, U., Korten, V., & Karavus, M. (2019). A Qualitative Study of Hand Hygiene Compliance among Health Care Workers in Intensive Care Units. The Journal of Infection in Developing Countries, 13, 111-117.
https://doi.org/10.3855/jidc.10926
[5]  Bearden, W. O., & Netemayer, R. G. (1999). Handbook of Marketing Scales (3rd ed.). Sage Publications.
https://doi.org/10.4135/9781452224923
[6]  Biana, H., & Joaquin, J. J. (2020). The Ethics of Scare: COVID-19 and the Philippines’ Fear Appeals. Public Health, 183, 2-3.
https://doi.org/10.1016/j.puhe.2020.04.017
[7]  Bilal, F. L., Bashirc, M., Komald, B., & Tana, D. (2020). Role of Electronic Media in Mitigating the Psychological Impacts of Novel Coronavirus (COVID-19). Psychiatry Research, 289, Article ID: 113041.
https://doi.org/10.1016/j.psychres.2020.113041
[8]  Boyd, D., & Ellison, N. (2008). Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication, 13, 210-230.
https://doi.org/10.1111/j.1083-6101.2007.00393.x
[9]  Bruin, J. (2006). Newest: Command to Compute New Test. UCLA: Statistical Consulting Group.
https://stats.idre.ucla.edu/stata/ado/analysis
[10]  Chan, G., Barnes-Holmes, D., Barnes-Holmes, Y., & Stewart, I. (2009). Implicit Attitudes to Work and Leisure among North American and Irish Individuals: A Preliminary Study. International Journal of Psychology and Psychological Science, 9, 317-334.
[11]  CNN Health (2021) Tracking Coronavirus’ Global Spread.
https://edition.cnn.com/interactive/2020/health/coronavirus-maps-and-cases/
[12]  Cronbach, L. J. (1951). Coefficient Alpha and the Internal Structure of Tests. Psychometrika, 16, 297-334.
https://doi.org/10.1007/BF02310555
[13]  Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. Plenum Publishing.
https://doi.org/10.1007/978-1-4899-2271-7
[14]  Duggan, A., & Street, R. L. Jr. (2015). Interpersonal Communication in Health and Illness. In K. Glanz, B. K. Rimer, & K. V. Viswanath (Eds.), Health Behavior: Theory, Research, and Practice (pp. 243-267). Jossey-Bass/Wiley.
[15]  Garfin, D. R., Silver, R. C., & Holman, E. A. (2020). The Novel Coronavirus (COVID-2019) Outbreak: Amplification of Public Health Consequences by Media Exposure. Health Psychology, 39, 355-357.
https://doi.org/10.1037/hea0000875
[16]  Hair Jr., J. F., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L (2017). An Updated and Expanded Assessment of PLS-SEM in Information Systems Research. Industrial Management & Data Systems, 117, 442-458.
https://doi.org/10.1108/IMDS-04-2016-0130
[17]  Hair Jr., J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2011). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage.
[18]  Hair, Jr. J. F., Wolfinbarger Celsi, M., Money, A. H., Samouel, P., & Page, M. J. (2011). Essentials of Business Research Methods. Sharpe.
[19]  Hlavac, R. P. (2017). Social Media Marketing MOOC. Coursera Marketing.
https://www.coursera.org/specializations/social-media-marketing
[20]  Ketchen, D. J. (2013). A Primer on Partial Least Squares Structural Equation Modeling. Long Range Planning, 46, 184-185.
https://doi.org/10.1016/j.lrp.2013.01.002
[21]  Kotler, P., & Keller, K. L. (2018). Marketing Management. Pearson Prentice Hall.
[22]  LaBelle, S., Ball, H., Weber, K., White, A., & Hendry, A. (2020). The Rethink Campaign to Reduce the Normalization of Prescription Stimulant Misuse on College Campuses. Communication Quarterly, 68, 1-28.
https://doi.org/10.1080/01463373.2019.1668446
[23]  Lep, Z., Babnik, K., & Beyazoglu, K. H. (2020). Emotional Responses and Self-Protective Behavior within Days of the COVID-19 Outbreak: The Promoting Role of Information Credibility. Frontiers in Psychology, 11, 1846.
https://doi.org/10.3389/fpsyg.2020.01846
[24]  Lovejoy, J., Riffe, D., & Lovejoy, T. I. (2015). An Examination of Direct and Indirect Effects of Exposure and Attention to Health Media on Intentions to Avoid Unprotected Sun Exposure. Health Communication, 30, 261-270.
https://doi.org/10.1080/10410236.2013.842526
[25]  Mo, P. K. H., Lau, J. T. F., Xin, M., & Fong, V. W. I. (2019). Understanding the Barriers and Factors to HIV Testing Intention of Women Engaging in Compensated Dating in Hong Kong: The Application of the Extended Theory of Planned Behavior. PLoS ONE, 14, e0213920.
https://doi.org/10.1371/journal.pone.0213920
[26]  Namkoong, K., Nah, S., Record, R. A., & Van Steed, S. K. (2017). Communication, Reasoning, and Planned Behaviors: Unveiling the Effect of Interactive Communication in an Anti-Smoking Social Media Campaign. Health Communication, 32, 41-50.
https://doi.org/10.1080/10410236.2015.1099501
[27]  Nicomedes, C. J., & Avila, R. M. (2020). An Analysis of the Panic during the COVID-19 Pandemic through an Online Form. Journal of Affective Disorders, 276, 14-22.
https://doi.org/10.1016/j.jad.2020.06.046
[28]  Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). McGraw-Hill.
[29]  Omodior, O., Pennington-Gray, L., & Donohoe, H. (2015). Efficacy of the Theory of Planned Behavior in Predicting the Intention to Engage in Tick-Borne Disease Personal Protective Behavior Amongst Visitors to an Outdoor Recreational Center. Journal of Park and Recreation Administration, 33, 37-53.
[30]  Peterson, R. (1994). A Meta-Analysis of Cronbach’s Coefficient Alpha. Journal of Consumer Research, 21, 381-391.
https://doi.org/10.1086/209405
[31]  Prasetyo, Y. T., Castillo, A. M., Salonga, L. J., Sia, J. A., & Senta, J. A. (2020). Factors Affecting Perceived Effectiveness of COVID-19 Prevention Measures among Filipinos during Enhanced Community Quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and Extended Theory of Planned Behavior. International Journal of Infectious Diseases, 99, 312-323.
https://doi.org/10.1016/j.ijid.2020.07.074
[32]  Rumsey, D. J. (2010). Statistics Essentials for Dummies. J. Wiley and Sons Ltd.
[33]  Schmid, P., Rauber, D., Betsch, C., Lidolt, G., & Denker, M.-L. (2017). Barriers of Influenza Vaccination Intention and Behavior—A Systematic Review of Influenza Vaccine Hesitancy, 2005-2016. PLoS ONE, 12, e0170550.
https://doi.org/10.1371/journal.pone.0170550
[34]  Stryker, E., Moriarty, C., & Jensen, J. (2008) Effects of Newspaper Coverage on Public Knowledge about Modifiable Cancer Risks. Health Communication, 23, 380-390.
https://doi.org/10.1080/10410230802229894
[35]  Sundstrom, B., Ferrara, M., DeMaria, A. L., Gabel, C., Booth, K., & Cabot, J. (2018). It Is Your Place: Development and Evaluation of an Evidence-Based Bystander Intervention Campaign. Health Communication, 33, 1141-1150.
https://doi.org/10.1080/10410236.2017.1333561
[36]  Sy, C., Bernardo, E., Miguel, A., San Juan, J. L. M., Andres, P., Mae Ching, P., Culaba, A., Ubando, A., & Mutuc, J. E. (2020). Policy Development for COVID-19 Pandemic Response Using System Dynamics.
https://doi.org/10.1007/s41660-020-00130-x
https://www.dlsu.edu.ph/research/covid-19-research-portal#pb
[37]  Torneo, A., Andres, A. A., Berse, K., Borja, R., Salvosa, F., & Soriano, C. R. (2020). Setting up a COVID-19 Community Response Strategy in Local Government Units: Immediate, Transitory, and Medium-Term Considerations for Planning. Policy Brief, 1, 1.
https://covid19arc.ph/research-think-pieces
[38]  Vallejo, B., & Ong, R. A. (2020). Policy Responses and Government Science Advice for the COVID 19 Pandemic in the Philippines: January to April 2020. Progress in Disaster Science, 7, Article ID: 100115.
https://doi.org/10.1016/j.pdisas.2020.100115
[39]  White, K. M., Jimmieson, N. L., Obst, P. L., Graves, N., Barnett, A., Cockshaw, W., Gee, P., Haneman, L., Page, K., Campbell, M., Martin, E., & Paterson, D. (2015). Using the Theory of Planned Behavior Framework to Explore Hand Hygiene Beliefs at the “5 Critical Moments” among Australian Hospital-Based Nurses. BMC Health Services Research, 15, 59.
https://doi.org/10.1186/s12913-015-0718-2
[40]  Yang, Z. J. (2015). Predicting Young Adults’ Intentions to Get the H1N1 Vaccine: An Integrated Model. Journal of Health Communication, 20, 69-79.
https://doi.org/10.1080/10810730.2014.904023

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133