The role of social media in participation to control the COVID-19 pandemic
Researcher Bulletin of Medical Sciences,
Vol. 29 No. 1 (2024),
4 January 2025
,
Page e1
Abstract
Objective: We aimed to assess the role of virtual media in people's participation in controlling the COVID-19 pandemic.
Materials and Methods: This cross-sectional study was conducted from January to March 2022 using a researcher-made questionnaire via a panel expert. Considering participation of 10 experts, according to Lawshe table, the minimum value of the CVR index of 0.62 and the minimum score of the CVI index of 0.79 were acceptable. The questionnaire included two parts of demographic data and the assessment of the use of social network and its effect on people's participation to manage COVID-19 pandemic. The questionnaire was circulated, and all people were invited for participation.
Results: The response rate was 58% and 468 participants with a mean age of 38.5 ± 11.5 years took part in this study of which 42.3% were male.
The quality of the samples and data were suit for factor analysis, KMO index was more than 0.6 and the p-value (0.05) with Cronbach's alpha (0.88.).
So according to the highest factor loading, 7 factors including the level of knowledge, the role of non-interactive media for providing information regarding COVID19, the level of people's participation regarding compliance with protocols, the role of the media and trust in the media, controlling the psychological burden of the disease, the role of the interactive media, the role of other sources of information.
Conclusion: The confirmatory factor analysis revealed that this tool by 7 factors could assess the role of virtual media in people's participation to control the COVID-19 pandemic.
- COVID-19; Pandemic; Factor analysis; Virtual media; Interactive media; Non-interactive media
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References
1. “https://www.worldometers.info/coronaviru.
2. Malli F, Lampropoulos IC, Papagiannis D, Papathanasiou I V., Daniil Z, Gourgoulianis KI. Association of SARS-CoV-2 Vaccinations with SARS-CoV-2 Infections, ICU Admissions and Deaths in Greece. Vaccines. 2022;10(2):2–13.
3. Vasileiou E, Simpson CR, Shi T, Kerr S, Agrawal U, Akbari A, et al. Interim findings from first-dose mass COVID-19 vaccination roll-out and COVID-19 hospital admissions in Scotland: a national prospective cohort study. Lancet. 2021;397(10285):1646–57.
4. Tenforde MW, Self WH, Adams K, Gaglani M, Ginde AA, McNeal T, et al. Influenza and Other Viruses in the Acutely Ill (IVY) Network. Assoc between mRNA Vaccin COVID-19 Hosp Dis Sev JAMA. 2021;326(20):2043–54.
5. Arbel R, Hammerman A, Sergienko R, Friger M, Peretz A, Netzer D, et al. BNT162b2 Vaccine Booster and Mortality Due to Covid-19. N Engl J Med. 2021 Dec;385(26):2413–20.
6. Hasani H, Mardi S, Shakerian S, Taherzadeh-Ghahfarokhi N, Mardi P. The Novel Coronavirus Disease (COVID-19): A PRISMA Systematic Review and Meta-analysis of Clinical and Paraclinical characteristics. medRxiv [Internet]. 2020;2020.04.19.20071456. Available from: http://medrxiv.org/content/early/2020/04/22/2020.04.19.20071456.abstract
7. Jamaati H, Dastan F, Tabarsi P, Marjani M, Saffaei A, Hashemian SM. A fourteen-day experience with coronavirus disease 2019 (COVID-19) induced acute respiratory distress syndrome (ARDS): an Iranian treatment protocol. Iran J Pharm Res IJPR. 2020;19(1):31.
8. Borgatti SP, Everett MG, Johnson JC. Analyzing social networks. Sage; 2018.
9. Tavousi M, Mohammadi S, Sadighi J, Rostami R, Haerimehrizi AA. Rate of use of health information of mass media and virtual social networks among citizens of Tehran: A population study. J Educ Community Heal. 2019;6(2):103–9.
10. Scheibe K, Zimmer F. Game mechanics on social live streaming service websites. In: Proceedings of the 52nd Hawaii international conference on system sciences. 2019.
11. Norr AM, Capron DW, Schmidt NB. Medical information seeking: impact on risk for anxiety psychopathology. J Behav Ther Exp Psychiatry. 2014;45(3):402–7.
12. Topf JM, Williams PN. COVID-19, social media, and the role of the public physician. Blood Purif. 2021;50(4–5):595–601.
13. Venegas-Vera AV, Colbert GB, Lerma E V. Positive and negative impact of social media in the COVID-19 era. Rev Cardiovasc Med. 2020;21(4):561–4.
14. González-Padilla DA, Tortolero-Blanco L. Social media influence in the COVID-19 pandemic. Int braz j urol. 2020;46:120–4.
15. Mheidly N, Fares J. Leveraging media and health communication strategies to overcome the COVID-19 infodemic. J Public Health Policy. 2020;41(4):410–20.
16. Chandler R, Guillaume D, Parker AG, Mack A, Hamilton J, Dorsey J, et al. The impact of COVID-19 among Black women: evaluating perspectives and sources of information. Ethn Health. 2021;26(1):80–93.
17. Reuben RC, Danladi MMA, Saleh DA, Ejembi PE. Knowledge, attitudes and practices towards COVID-19: an epidemiological survey in North-Central Nigeria. J Community Health. 2021;46:457–70.
18. Akalu Y, Ayelign B, Molla MD. Knowledge, attitude and practice towards COVID-19 among chronic disease patients at Addis Zemen Hospital, Northwest Ethiopia. Infect Drug Resist. 2020;1949–60.
19. Fukuda Y, Ando S, Fukuda K. Knowledge and preventive actions toward COVID-19, vaccination intent, and health literacy among educators in Japan: An online survey. PLoS One. 2021;16(9):e0257552.
20. Wang D, Marmo-Roman S, Krase K, Phanord L. Compliance with preventative measures during the COVID-19 pandemic in the USA and Canada: Results from an online survey. Soc Work Health Care. 2021;60(3):240–55.
21. Islam M, Siddique AB, Akter R, Tasnim R, Sujan M, Hossain S, et al. Knowledge, attitudes and perceptions towards COVID-19 vaccinations: a cross-sectional community survey in Bangladesh. BMC Public Health. 2021;21(1):1–11.
22. Roy D, Tripathy S, Kar SK, Sharma N, Verma SK, Kaushal V. Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian J Psychiatr. 2020;51:102083.
23. Choi EPH, Hui BPH, Wan EYF. Depression and anxiety in Hong Kong during COVID-19. Int J Environ Res Public Health. 2020;17(10):3740.
24. Kline RB. Principles and practice of structural equation modeling: Guilford publications; 2015.
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