The Role of Social Media During the COVID-19 Crisis: a Narrative Review
Abstract
In late 2019, the epidemic of COVID-19 (Coronavirus 2019) appeared in Wuhan, China, and rapidly spread around the world. Due to this situation, the use of social networks has increased among people. The present study is a narrative review to review studies conducted on the subject of social media and COVID-19 in the Web of Science database. The investigations show that social media has been used to share viewpoints, health care, and distance learning during the COVID-19 crisis. Therefore, governments and experts can use the useful experiences of the application of social media in the spread of the COVID-19 crisis and employ social media to prevent the spread of this epidemic and even in similar future crises.
1- Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KS, Lau EH, Wong JY, Xing X. Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia. New England Journal of Medicine. 2020.
2- Tian S, Li D, Lou J, Niu S, Lian H, Kang X, et al. Health-seeking behavior of patients with COVID-19 infection. Research Square; 2020.
3- Hou C, Chen J, Zhou Y, Hua L, Yuan J, He S, et al. The effectiveness of quarantine of Wuhan city against the Corona Virus Disease 2019 (COVID-19): A well-mixed SEIR model analysis. Journal of Medical Virology. 2020;92(7):841-8.
4- Boulos MN, Peng G, VoPham T. An overview of GeoAI applications in health and healthcare. International Journal of Health Geographics. 2019;18(1).
5- Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009). College students' social networking experiences on Facebook. Journal of applied developmental psychology, 30(3), 227-238.
6- Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of computer‐mediated Communication, 13(1), 210-230.
7- Dastani M, Mohammadpour A, Bagheri J. The Opportunities and Damages of Virtual Social Networks from Students' Perspectives; the Experience of Iranian Users. Library Philosophy and Practice. 2019:1.
8- Grajales FJ, Sheps S, Ho K, Novak-Lauscher H, Eysenbach G. Social media: a review and tutorial of applications in medicine and health care. J Med Internet Res. 2014;16(2):e13.
9- Amani F, Aghaie B, Zeynizadeh S, Tabrizian S, Aslanian R, Jafarizadeh R. Using social network rates among Ardabil city women over 25 years old. Journal of Human Sport and Exercise.15(Proc2):S429-S36.
10- Abdurahman AZ, Hassan RA, Sayuti NM, Abdullah J. Social Network and Students: The Correlation Between Usage on Academic Performance and Non-academic Engagement. InProceedings of the Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016) 2019 (pp. 101-111). Springer, Singapore.
11- Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in: Computers-mediated communications add relationships. ML Knapp, & JA Daly (A cura di), Handbook of interpersonal communication.
12- Madge C, Meek J, Wellens J, Hooley T. Facebook, social integration and informal learning at university:‘It is more for socialising and talking to friends about work than for actually doing work’. Learning, media and technology. 2009;34(2):141-55.
13- Dastani M, Keramati J, Poorfatemi A, Ekrami A. The reasons and motives of virtual social networks among students of Gonabad University of Medical Sciences. CJS. 2015; 2 (2) :24-27
14- Dastani M, Ramezani A. Role of Membership in Scientific and Specialized Groups of Virtual Social Networks in Increasing Knowledge, Professional Skills and E-Learning: A Case Study. International Research: Journal of Library and Information Science. 2017;7(4).
15- Teclehaimanot, B., & Hickman, T. (2011). Student-teacher interaction on Facebook: What students find appropriate. TechTrends, 55(3), 19.
16- Yedidia, M. J., Gillespie, C. C., Kachur, E., Schwartz, M. D., Ockene, J., Chepaitis, A. E., & Lipkin Jr, M. (2003). Effect of communications training on medical student performance. Jama, 290(9), 1157-1165.
17- Rajabiyan Dehzireh, M., Aliabadi, K., Esmaeili Gujar, S., & Khedri Lilus, L. (2018). A Survey the Relationship between the Use of Virtual Social Networks with the Enthusiasm and Academic Engagement. Bimonthly of Education Strategies in Medical Sciences. 11(3), 18-27.
18- Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. Journal of medical Internet research. 2009;11(1):e11.
19- Eysenbach G. Infodemiology and infoveillance: tracking online health information and cyberbehavior for public health. American journal of preventive medicine. 2011 May 1;40(5):S154-8.
20- Paré G, Kitsiou S. Chapter 9 Methods for Literature Reviews. In: Lau F, Kuziemsky C, editors. Handbook of eHealth Evaluation: An Evidence-based Approach (Internet). Victoria (BC): University of Victoria; 2017 Feb 27. Available from: https://www.ncbi.nlm.nih.gov/books/NBK481583/
21- Birkle C, Pendlebury DA, Schnell J, Adams J. Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies. 2020 Feb;1(1):363-76.
22- Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study. J Med Internet Res. 2020;22(4):9.
23- 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):11.
24- Leelawat N, Tang J, Saengtabtim K, Laosunthara A. Trends of Tweets on the Coronavirus Disease-2019 (COVID-19) Pandemic. J Disaster Res. 2020;15(4):530-3.
25- Han XH, Wang JL, Zhang M, Wang XJ. Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China. Int J Environ Res Public Health. 2020;17(8):22.
26- Jimenez‐Sotomayor MR, Gomez‐Moreno C, Soto‐Perez‐de‐Celis E. Coronavirus, Ageism, and Twitter: An Evaluation of Tweets about Older Adults and COVID‐19. Journal of the American Geriatrics Society. 2020.
27- Chan AKM, Nickson CP, Rudolph JW, Lee A, Joynt GM. Social media for rapid knowledge dissemination: early experience from the COVID-19 pandemic. Anaesthesia.4.
28- Bilal M, Simons M, Rahman AU, Smith ZL, Umar S, Cohen J, et al. What constitutes urgent endoscopy? A social media snapshot of gastroenterologists' views during the COVID-19 pandemic. Endosc Int Open. 2020;8(5):E693-E8.
29- Prokopenko I, Berezhna S. Higher Education Institutions in Ukraine during the Coronavirus, or COVID-19, Outbreak: New Challenges vs New Opportunities. Rev Romaneasca Pentru Educ Multidimens. 2020;12(1):130-5.
30- Kullar R, Goff DA, Gauthier TP, Smith TC. To Tweet or Not to Tweet-a Review of the Viral Power of Twitter for Infectious Diseases. Curr Infect Dis Rep. 2020;22(6):6.
31- Guo JC, Xie H, Liang MN, Wu H. COVID-19: a novel coronavirus and a novel challenge for oral healthcare. Clin Oral Investig. 2020;24(6):2137-8.
32- Jayawardena ADL, Romano S, Callans K, Fracchia MS, Hartnick CJ. Family-Centered Information Dissemination: A Multidisciplinary Virtual COVID-19 "Town Hall". Otolaryngol Head Neck Surg.2.
33- Blasi L, Bordonaro R, Borsellino N, Butera A, Caruso M, Cordio S, et al. Reactions and countermeasures of medical oncologists towards the incoming COVID-19 pandemic: a WhatsApp messenger-based report from the Italian College of Chief Medical Oncologists. eCancerMedicalScience. 2020;14:11.
34- Dost B, Koksal E, Terzi O, Bilgin S, Ustun YB, Arslan HN. Attitudes of Anesthesiology Specialists and Residents Toward Patients Infected with the Novel Coronavirus (COVID-19): A National Survey Study. Surg Infect. 2020;21(4):350-6.
35- Nahandi MZ, Shahrokhi H, Farhang S, Somi MH. Virtual social networks and mental health intervention for medical staff during the COVID-19 outbreak in the Islamic Republic of Iran. East Mediterr Health J. 2020;26(5):497-8.
36- 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):11.
37- Ali SH, Foreman J, Capasso A, Jones AM, Tozan Y, DiClemente RJ. Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs, and practices in the United States: methodology and feasibility analysis. BMC Med Res Methodol. 2020;20(1):11.
38- Ikpama W, Mamerhi ET, Godswill OO. Knowledge, Awareness and Practicestowards COVID-19 in Nigeria during the Ascent Time of the COVID-19 Episode. Gazi Med J. 2020;31(2A):292-7.
39- Kreuter F, Barkay N, Bilinski A, Bradford A, Chiu S, Eliat R, et al. Partnering with Facebook on a university-based rapid turn-around global survey. Surv Res Methods. 2020;14(2):159-62.
40- Block P, Hoffman M, Raabe IJ, Dowd JB, Rahal C, Kashyap R, et al. Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world. Nat Hum Behav.18.
41- Chen Q, Min C, Zhang W, Wang G, Ma XY, Evans R. Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis. Comput Hum Behav. 2020;110:11.
42- Mohamad SM. Creative Production of 'COVID-19 Social Distancing' Narratives on Social Media. Tijdschr Econ Soc Geogr.14.
43- Manzo LKC, Minello A. Mothers, childcare duties, and remote working under COVID-19 lockdown in Italy: Cultivating communities of care. Dialogues Hum Geogr.4.
44- Eghtesadi M, Florea A. Facebook, Instagram, Reddit and TikTok: a proposal for health authorities to integrate popular social media platforms in contingency planning amid a global pandemic outbreak. Can J Public Health-Rev Can Sante Publ.3.
45- Ahmed W, Vidal-Alaball J, Downing J, Segui FL. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data. J Med Internet Res. 2020;22(5):9.
46- Kouzy R, Jaoude JA, Kraitem A, El Alam MB, Karam B, Adib E, et al. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter. Cureus. 2020;12(3):9.
47- Pulido CM, Villarejo-Carballido B, Redondo-Sama G, Gomez A. COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information. Int Sociol. 2020;35(4):377-92.
48- Johnson NF, Velasquez N, Restrepo NJ, Leahy R, Gabriel N, El Oud S, et al. The online competition between pro- and anti-vaccination views. Nature.7.
49- Motta Zanin G, Gentile E, Parisi A, Spasiano D. A Preliminary Evaluation of the Public Risk Perception Related to the COVID-19 Health Emergency in Italy. Int J Environ Res Public Health. 2020;17(9):3024.
50- Sharov KS. Adaptation to SARS-CoV-2 under stress: Role of distorted information. Eur J Clin Invest.7.
51- Rinken S, Dominguez JA, Trujillo M, Lafuente R, Sotomayor R, Serrano-del-Rosal R. Combined mobile-phone and social-media sampling for web survey on social effects of COVID-19 in Spain. Surv Res Methods. 2020;14(2):165-8
2- Tian S, Li D, Lou J, Niu S, Lian H, Kang X, et al. Health-seeking behavior of patients with COVID-19 infection. Research Square; 2020.
3- Hou C, Chen J, Zhou Y, Hua L, Yuan J, He S, et al. The effectiveness of quarantine of Wuhan city against the Corona Virus Disease 2019 (COVID-19): A well-mixed SEIR model analysis. Journal of Medical Virology. 2020;92(7):841-8.
4- Boulos MN, Peng G, VoPham T. An overview of GeoAI applications in health and healthcare. International Journal of Health Geographics. 2019;18(1).
5- Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009). College students' social networking experiences on Facebook. Journal of applied developmental psychology, 30(3), 227-238.
6- Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of computer‐mediated Communication, 13(1), 210-230.
7- Dastani M, Mohammadpour A, Bagheri J. The Opportunities and Damages of Virtual Social Networks from Students' Perspectives; the Experience of Iranian Users. Library Philosophy and Practice. 2019:1.
8- Grajales FJ, Sheps S, Ho K, Novak-Lauscher H, Eysenbach G. Social media: a review and tutorial of applications in medicine and health care. J Med Internet Res. 2014;16(2):e13.
9- Amani F, Aghaie B, Zeynizadeh S, Tabrizian S, Aslanian R, Jafarizadeh R. Using social network rates among Ardabil city women over 25 years old. Journal of Human Sport and Exercise.15(Proc2):S429-S36.
10- Abdurahman AZ, Hassan RA, Sayuti NM, Abdullah J. Social Network and Students: The Correlation Between Usage on Academic Performance and Non-academic Engagement. InProceedings of the Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016) 2019 (pp. 101-111). Springer, Singapore.
11- Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in: Computers-mediated communications add relationships. ML Knapp, & JA Daly (A cura di), Handbook of interpersonal communication.
12- Madge C, Meek J, Wellens J, Hooley T. Facebook, social integration and informal learning at university:‘It is more for socialising and talking to friends about work than for actually doing work’. Learning, media and technology. 2009;34(2):141-55.
13- Dastani M, Keramati J, Poorfatemi A, Ekrami A. The reasons and motives of virtual social networks among students of Gonabad University of Medical Sciences. CJS. 2015; 2 (2) :24-27
14- Dastani M, Ramezani A. Role of Membership in Scientific and Specialized Groups of Virtual Social Networks in Increasing Knowledge, Professional Skills and E-Learning: A Case Study. International Research: Journal of Library and Information Science. 2017;7(4).
15- Teclehaimanot, B., & Hickman, T. (2011). Student-teacher interaction on Facebook: What students find appropriate. TechTrends, 55(3), 19.
16- Yedidia, M. J., Gillespie, C. C., Kachur, E., Schwartz, M. D., Ockene, J., Chepaitis, A. E., & Lipkin Jr, M. (2003). Effect of communications training on medical student performance. Jama, 290(9), 1157-1165.
17- Rajabiyan Dehzireh, M., Aliabadi, K., Esmaeili Gujar, S., & Khedri Lilus, L. (2018). A Survey the Relationship between the Use of Virtual Social Networks with the Enthusiasm and Academic Engagement. Bimonthly of Education Strategies in Medical Sciences. 11(3), 18-27.
18- Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. Journal of medical Internet research. 2009;11(1):e11.
19- Eysenbach G. Infodemiology and infoveillance: tracking online health information and cyberbehavior for public health. American journal of preventive medicine. 2011 May 1;40(5):S154-8.
20- Paré G, Kitsiou S. Chapter 9 Methods for Literature Reviews. In: Lau F, Kuziemsky C, editors. Handbook of eHealth Evaluation: An Evidence-based Approach (Internet). Victoria (BC): University of Victoria; 2017 Feb 27. Available from: https://www.ncbi.nlm.nih.gov/books/NBK481583/
21- Birkle C, Pendlebury DA, Schnell J, Adams J. Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies. 2020 Feb;1(1):363-76.
22- Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study. J Med Internet Res. 2020;22(4):9.
23- 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):11.
24- Leelawat N, Tang J, Saengtabtim K, Laosunthara A. Trends of Tweets on the Coronavirus Disease-2019 (COVID-19) Pandemic. J Disaster Res. 2020;15(4):530-3.
25- Han XH, Wang JL, Zhang M, Wang XJ. Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China. Int J Environ Res Public Health. 2020;17(8):22.
26- Jimenez‐Sotomayor MR, Gomez‐Moreno C, Soto‐Perez‐de‐Celis E. Coronavirus, Ageism, and Twitter: An Evaluation of Tweets about Older Adults and COVID‐19. Journal of the American Geriatrics Society. 2020.
27- Chan AKM, Nickson CP, Rudolph JW, Lee A, Joynt GM. Social media for rapid knowledge dissemination: early experience from the COVID-19 pandemic. Anaesthesia.4.
28- Bilal M, Simons M, Rahman AU, Smith ZL, Umar S, Cohen J, et al. What constitutes urgent endoscopy? A social media snapshot of gastroenterologists' views during the COVID-19 pandemic. Endosc Int Open. 2020;8(5):E693-E8.
29- Prokopenko I, Berezhna S. Higher Education Institutions in Ukraine during the Coronavirus, or COVID-19, Outbreak: New Challenges vs New Opportunities. Rev Romaneasca Pentru Educ Multidimens. 2020;12(1):130-5.
30- Kullar R, Goff DA, Gauthier TP, Smith TC. To Tweet or Not to Tweet-a Review of the Viral Power of Twitter for Infectious Diseases. Curr Infect Dis Rep. 2020;22(6):6.
31- Guo JC, Xie H, Liang MN, Wu H. COVID-19: a novel coronavirus and a novel challenge for oral healthcare. Clin Oral Investig. 2020;24(6):2137-8.
32- Jayawardena ADL, Romano S, Callans K, Fracchia MS, Hartnick CJ. Family-Centered Information Dissemination: A Multidisciplinary Virtual COVID-19 "Town Hall". Otolaryngol Head Neck Surg.2.
33- Blasi L, Bordonaro R, Borsellino N, Butera A, Caruso M, Cordio S, et al. Reactions and countermeasures of medical oncologists towards the incoming COVID-19 pandemic: a WhatsApp messenger-based report from the Italian College of Chief Medical Oncologists. eCancerMedicalScience. 2020;14:11.
34- Dost B, Koksal E, Terzi O, Bilgin S, Ustun YB, Arslan HN. Attitudes of Anesthesiology Specialists and Residents Toward Patients Infected with the Novel Coronavirus (COVID-19): A National Survey Study. Surg Infect. 2020;21(4):350-6.
35- Nahandi MZ, Shahrokhi H, Farhang S, Somi MH. Virtual social networks and mental health intervention for medical staff during the COVID-19 outbreak in the Islamic Republic of Iran. East Mediterr Health J. 2020;26(5):497-8.
36- 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):11.
37- Ali SH, Foreman J, Capasso A, Jones AM, Tozan Y, DiClemente RJ. Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs, and practices in the United States: methodology and feasibility analysis. BMC Med Res Methodol. 2020;20(1):11.
38- Ikpama W, Mamerhi ET, Godswill OO. Knowledge, Awareness and Practicestowards COVID-19 in Nigeria during the Ascent Time of the COVID-19 Episode. Gazi Med J. 2020;31(2A):292-7.
39- Kreuter F, Barkay N, Bilinski A, Bradford A, Chiu S, Eliat R, et al. Partnering with Facebook on a university-based rapid turn-around global survey. Surv Res Methods. 2020;14(2):159-62.
40- Block P, Hoffman M, Raabe IJ, Dowd JB, Rahal C, Kashyap R, et al. Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world. Nat Hum Behav.18.
41- Chen Q, Min C, Zhang W, Wang G, Ma XY, Evans R. Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis. Comput Hum Behav. 2020;110:11.
42- Mohamad SM. Creative Production of 'COVID-19 Social Distancing' Narratives on Social Media. Tijdschr Econ Soc Geogr.14.
43- Manzo LKC, Minello A. Mothers, childcare duties, and remote working under COVID-19 lockdown in Italy: Cultivating communities of care. Dialogues Hum Geogr.4.
44- Eghtesadi M, Florea A. Facebook, Instagram, Reddit and TikTok: a proposal for health authorities to integrate popular social media platforms in contingency planning amid a global pandemic outbreak. Can J Public Health-Rev Can Sante Publ.3.
45- Ahmed W, Vidal-Alaball J, Downing J, Segui FL. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data. J Med Internet Res. 2020;22(5):9.
46- Kouzy R, Jaoude JA, Kraitem A, El Alam MB, Karam B, Adib E, et al. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter. Cureus. 2020;12(3):9.
47- Pulido CM, Villarejo-Carballido B, Redondo-Sama G, Gomez A. COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information. Int Sociol. 2020;35(4):377-92.
48- Johnson NF, Velasquez N, Restrepo NJ, Leahy R, Gabriel N, El Oud S, et al. The online competition between pro- and anti-vaccination views. Nature.7.
49- Motta Zanin G, Gentile E, Parisi A, Spasiano D. A Preliminary Evaluation of the Public Risk Perception Related to the COVID-19 Health Emergency in Italy. Int J Environ Res Public Health. 2020;17(9):3024.
50- Sharov KS. Adaptation to SARS-CoV-2 under stress: Role of distorted information. Eur J Clin Invest.7.
51- Rinken S, Dominguez JA, Trujillo M, Lafuente R, Sotomayor R, Serrano-del-Rosal R. Combined mobile-phone and social-media sampling for web survey on social effects of COVID-19 in Spain. Surv Res Methods. 2020;14(2):165-8
| Files | ||
| Issue | Vol 4, No 1 (2020) | |
| Section | Review Article | |
| DOI | https://doi.org/10.18502/htaa.v4i1.5865 | |
| Keywords | ||
| Social Networks Social Media Outbreak Crisis COVID-19 Narrative Review | ||
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How to Cite
1.
Dalili Shoaei M, Dastani M. The Role of Social Media During the COVID-19 Crisis: a Narrative Review. Health Tech Ass Act. 2020;4(1).
