The Opportunities of Virtual Social Networks in Awareness of Covid-19: Experience of Medical Sciences Students in Iran

Document Type : Original Article

Authors

1 Assistant Professor of Health Information Management Department of Health Information Technology, School of Management and Medical Information Sciences Health Human Resources Research Center Shiraz University of Medical Sciences

2 Associate Professor of Health Information Management, Department of Health Information Management, School of Management and Medical Information Sciences, Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

3 PhD in Medical Informatics, National Agency for Strategic Research in Medical Education, Tehran, Iran.

4 MSc Student in Health Information Technology, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.

5 MSc Student in Health Information Technology, School of Para-Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

Abstract

Introduction: Despite the availability of various vaccines to prevent Covid-19, the individuals’ awareness of this disease is essential. Social networks, as one of the important information media, can meet this need. In this study, an attempt was made to examine the students’ awareness of Covid-19 through social networks.
Methods: The present study was conducted in 2 stages. At first, a narrative review was done about the effectiveness of social media in coronavirus pandemic. At the second phase, a descriptive cross-sectional study was performed on 384 students of Shiraz University of
Medical Sciences using simple sampling method in 2020. After determining the validity and reliability, we designed a questionnaire using PorsLine website and the link was sent to the students by WhatsApp. The questionnaire included 25 questions (4 questions were about demographic data and the others were related to the level of knowledge and respondents’ agreement to use social networks in COVID-19 disease). Finally, the results were analyzed using SPSS.
Results: The review of previous studies showed the diverse role of social networks in preparedness, response, and recovery of public health threats. Also, the results showed high levels of the respondents’ agreement to use virtual networks in Coronavirus pandemic. 69.1% of the students emphasized that social networks, especially Instagram, is the first source of
receiving information about mortality, symptoms, methods of transmission, and prevention of COVID-19. Also, according to the results, more than 90% of the participants were more inclined to use social networks during the pandemic.
Conclusion: Popularity of virtual technologies in health industries provides opportunities regarding health issues pandemic. Such environments provide opportunities for the policymakers and health managers to monitor the level of the public’s awareness about Covid-19 and make the best decision to control this worldwide threat.

Keywords


1. Gostic K, Gomez AC, Mummah RO, Kucharski AJ, Lloyd-Smith JO. Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19. Elife. 2020;9. doi: 10.7554/eLife.55570.
2. Bennett NJ, Finkbeiner EM, Ban NC, Belhabib D, Jupiter SD, Kittinger JN, et al. The COVID-19 pandemic, small-scale
fisheries and coastal fishing communities. Coastal Management. 2020;48(4):336-47. doi; 10.1080/08920753.2020.1766937.
3. Bernard Stoecklin S, Rolland P, Silue Y, Mailles A, Campese C, Simondon A, et al. First cases of coronavirus disease 2019 (COVID-19) in France: surveillance, investigations and control measures, January 2020. Euro Surveill. 2020;25(6). doi: 10.2807/1560-7917.ES.2020.25.6.2000094.
4. 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. doi: 10.1057/s41271-020-00247-w.
5. World Heaith Organization [Internet]. Coronavirus disease (COVID-19) pandemic. c2020. Available from: https://www.who.int/emergencies/diseases/novelcoronavirus-2019?gclid=EAIaIQobChMI7ve-_NCZ8wIVIAaICR1XsQZTEAAYASAAEgLrn_D_BwE.
6. Merchant RM, Lurie N. Social Media and Emergency Preparedness in Response to Novel Coronavirus. JAMA. 2020;323(20):2011-2. doi: 10.1001/jama.2020.4469.
7. Khan M, Adil SF, Alkhathlan HZ, Tahir MN, Saif S, Khan M, et al. COVID-19: a global challenge with old history, epidemiology and progress so far. 2020;26(1):39.
8. Fung IC, Tse ZT, Fu KW. The use of social media in public health surveillance. Western Pac Surveill Response J. 2015;6(2):3-6. doi: 10.5365/WPSAR.2015.6.1.019.
9. Ali K, Zain-ul-Abdin K, Li C, Johns L, Ali AA, Carcioppolo N. Viruses going viral: Impact of feararousing sensationalist social media messages on user engagement. Science communication. 2019;41(3):314-38. doi;10.1177/1075547019846124.
10. Harapan H, Itoh N, Yufika A, Winardi W, Keam S, Te H, et al. Coronavirus disease 2019 (COVID-19): A literature review. J Infect Public Health. 2020;13(5):667-73. doi: 10.1016/j.jiph.2020.03.019.
11. Agbehadji IE, Awuzie BO, Ngowi AB, Millham RC. Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing. Int J Environ Res Public Health. 2020;17(15). doi: 10.3390/ijerph17155330.
12. Ahmad AR, Murad HR. The Impact of Social Media on Panic During the COVID-19 Pandemic in Iraqi Kurdistan: Online Questionnaire Study. J Med Internet Res. 2020;22(5):e19556. doi: 10.2196/19556.
13. Chunara R, Andrews JR, Brownstein JS. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. Am J Trop Med Hyg. 2012;86(1):39-45. doi: 10.4269/ajtmh.2012.11-0597.
14. Corley CD, Cook DJ, Mikler AR, Singh KP. Text and structural data mining of influenza mentions in Web and social media. Int J Environ Res Public Health. 2010;7(2):596-615. doi: 10.3390/ijerph7020596.
15. Ming LC, Untong N, Aliudin NA, Osili N, Kifli N, Tan CS, et al. Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review. JMIR Mhealth Uhealth. 2020;8(9):e19796. doi: 10.2196/19796.
16. Giustini D, Ali SM, Fraser M, Kamel Boulos MN. Effective uses of social media in public health and medicine: a systematic review of systematic reviews. Online J Public Health Inform. 2018;10(2):e215. doi: 10.5210/ojphi.v10i2.8270.
17. Pashaeypoor S, Salemi N, Ansari M. The relationship between health literacy and the use of social networking in administrative staff of Tehran university of medical sciences. Iranian Journal of Nursing Research. 2018;13(2):67-73.
18. Feyzi H, Mohammadi H, Rahmani M, Ahmadi S. The Relationship Between Use of Social Networks With Achievement Motivation in Students of Kurdistan University of Medical Sciences. Journal of Medical Education and Development. 2019. doi: 10.18502/jmed.v14i1.682.
19. Kamel Boulos MN, Giustini DM, Wheeler S. Instagram and WhatsApp in health and healthcare: An overview. Future internet. 2016;8(3):37. doi; 10.3390/fi8030037.
20. Kasperson RE, Renn O, Slovic P, Brown HS, Emel J, Goble R, et al. The social amplification of risk: A conceptual framework. Risk analysis. 1988;8(2):177-87. doi; 10.1111/j.1539-6924.1988.tb01168.x
21. Lavrac N, Bohanec M, Pur A, Cestnik B, Debeljak M, Kobler A. Data mining and visualization for decision support and modeling of public healthcare resources. J Biomed Inform. 2007;40(4):438-47. doi: 10.1016/j.jbi.2006.10.003.
22. Wilson K, Brownstein JS. Early detection of disease outbreaks using the Internet. CMAJ. 2009;180(8):829-31. doi: 10.1503/cmaj.090215.
23. Eke PI. Using social media for research and public health surveillance. J Dent Res. 2011;90(9):1045-6. doi: 10.1177/0022034511415277.
24. Andersen KN, Medaglia R, Henriksen HZ. Social media in public health care: Impact domain propositions. Government Information Quarterly. 2012;29(4):462-9. doi; 10.1016/j.giq.2012.07.004.
25. Bernardo TM, Rajic A, Young I, Robiadek K, Pham MT, Funk JA. Scoping review on search queries and social media for disease surveillance: a chronology of innovation. J Med Internet Res. 2013;15(7):e147. doi: 10.2196/jmir.2740.
26. Kass-Hout TA, Alhinnawi H. Social media in public health. Br Med Bull. 2013;108:5-24. doi: 10.1093/bmb/ldt028.
27. Yang YT, Horneffer M, DiLisio N. Mining social media and web searches for disease detection. J Public Health Res. 2013;2(1):17-21. doi: 10.4081/jphr.2013.e4.
28. Denecke K, Krieck M, Otrusina L, Smrz P, Dolog P, Nejdl W, et al. How to exploit twitter for public health monitoring? Methods Inf Med. 2013;52(4):326-39. doi: 10.3414/ME12-02-0010.
29. Velasco E, Agheneza T, Denecke K, Kirchner G, Eckmanns T. Social media and internetbased data in global systems for public health surveillance: a systematic review. Milbank Q. 2014;92(1):7-33. doi: 10.1111/1468-0009.12038.
30. Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, et al. The use of google trends in health care research: a systematic review. PLoS One. 2014;9(10):e109583. doi: 10.1371/journal. pone.0109583.
31. Broniatowski DA, Paul MJ, Dredze M. National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic. PLoS One. 2013;8(12):e83672. doi: 10.1371/journal.pone.0083672.
32. Choi DH, Yoo W, Noh GY, Park K. The impact of social media on risk perceptions during the MERS outbreak in South Korea. Comput Human Behav. 2017;72:422-31. doi: 10.1016/j.chb.2017.03.004.
33. Islam MN, Islam I, Munim KM, Islam A. A Review on the Mobile Applications Developed for COVID-19: An Exploratory Analysis. IEEE Access. 2020;8:145601-10. doi: 10.1109/ACCESS.2020.3015102.
34. Park HW, Park S, Chong M. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea. J Med Internet Res. 2020;22(5):e18897. doi: 10.2196/18897.
35. Knoll MA, Chowdhary M, Dicker A, Eichler T. Virtual Connectivity During Quarantine: The Role of Social Media for Radiation Oncology During COVID-19. Int J Radiat Oncol Biol Phys. 2020;108(2):506-8. doi: 10.1016/j.ijrobp.2020.06.044.
36. Tsui E, Rao RC, Carey AR, Feng MT, Provencher LM. Using Social Media to Disseminate Ophthalmic Information during the #COVID19 Pandemic. Ophthalmology. 2020;127(9):e75-e8. doi: 10.1016/j.ophtha.2020.05.048.
37. Mersin S, Ibrahimoglu O, Saray Kilic H, Bayrak Kahraman B. Social media usage and alexithymia in nursing students. Perspect Psychiatr Care. 2020;56(2):401-8. doi: 10.1111/ppc.12448.
38. Eydi Zade R, Ahmadi Blotaki HM. The relationship between the usage of what’s app and telegram social networks and life style social sciences’ students in science and research branch. Sociological studies. 2018;11(38):43-60.
39. Kumar V, Thirumalaikolundusubramanain P, Uma A, Balamurugan N. Social media for infection control and prevention. International Journal of Infectious Diseases. 2016;45:282-3. doi; 10.1016/j.ijid.2016.02.624.
40. Adebimpe WO, Adeyemi DH, Faremi A, Ojo JO, Efuntoye AE. The relevance of the social networking media in Ebola virus disease prevention and control in Southwestern Nigeria.
Pan Afr Med J. 2015;22 Suppl 1:7. doi: 10.11694/pamj.supp.2015.22.1.6165.
41. Oh SH, Lee SY, Han C. The Effects of Social Media Use on Preventive Behaviors during Infectious Disease Outbreaks: The Mediating Role of Self-relevant Emotions and Public Risk Perception. Health Commun. 2021;36(8):972-81.
doi: 10.1080/10410236.2020.1724639.
42. Oh E, McMullen L, Jeon B. High Prevalence of Hyper-Aerotolerant Campylobacter jejuni in Retail Poultry with Potential Implication in Human Infection. Front Microbiol. 2015;6:1263. doi: 10.3389/fmicb.2015.01263.