Influence of Social Media Exposure on Knowledge and Behaviour of COVID-19 Preventive Measure

Putu Ayu Indrayathi, Putu Erma Pradnyani, Pande Putu Januraga, Luh Putu Sinthya Ulandari, Laszlo Robert Koloszvari, Benny Tjahjono, Desak Putu Yuli Kurniati, Monika Sri Yuliarti

Abstract


A lot of misinformation about COVID-19 on social media possibly hinder the practice of healthy behaviors that are essential to protect individuals. This situation is exacerbated by the lack of health literacy in Indonesia. This study aimed to determine the influence of social media information exposure on the knowledge and behavior of Indonesians in compliance with COVID-19 protocols. An online survey of 909 people was conducted from July 2nd to August 10th, 2020. The data collected were knowledge and behavior of preventing COVID-19, while independent variables were socio-demographic characteristics and exposure to social media information. Inclusion criteria were defined as follows: minimum age of 18 years and domiciled in the country during the data collection period. The analysis used for the data collected were univariate and multivariate. The result showed that gender, age, marital status, and social media presence significantly affect a person's knowledge about COVID-19 with a p-value of 0.05. Enforcement behavior of health and healthy living protocols is significantly influenced by the respondent’s gender, marital status, education level, the island of residence, and exposure to online information. The frequency of exposure to information affects people's knowledge and behavior to implement health protocols and healthy living in the COVID-19 era, and it is further influenced by socio-demographic characteristics.


References


Z. Hengbo, L.Wei and PN. The novel coronavirus outbreak in Wuhan, China. Glob Heal Res Policy. 2020;5(6):1–3.

WHO. Coronavirus disease (COVID-19) advice for the public [Internet]. 2020 [cited 2020 Dec 8]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public

Y Bao, Y Sun, S Meng, J Shi, L Lu. 2019-nCoV epidemic: address mental health care to empower society. Lancet [Internet]. 2020;395(10224):e37–8. Available from: http://dx.doi.org/10.1016/S0140-6736(20)30309-3

T Samia, Md Mahbub Hossain, Hoimonty Mazumder, Impact of Rumors and Misinformation on COVID-19 in social media. Journal of Preventive Medicine & Public 2020; 53:171-174, https://doi.org/10.3961/jpmph.20.094.

E Gabarron, SO Oyeyemi & R Wynn.COVID-19-related misinformation on social media: a systematic review. World Health Organisation 2021; 99:455–463A doi: http://dx.doi.org/10.2471/BLT.20.276782

Satuan Tugas Penanganan Covid-19. Peta Sebaran [Internet]. 2020 [cited 2020 Sep 1]. Available from: https://covid19.go.id/peta-sebaran

Kementerian Komunikasi dan Informasi RI. Kominfo Beri Edukasi Pemanfaatan Internet dalam Cegah Covid-19 [Internet]. Kominfo. 2020 [cited 2020 Jun 16]. Available from: https://www.kominfo.go.id/content/detail/26336/kominfo-beri-edukasi-pemanfaatan-internet-dalam-cegah-covid-19/0/berita_satker

H Silvana dan CD. Pendidikan Literasi Digital di Kalangan Usia Muda di Kota Bandung. Pedagog J Ilmu Pendidik [Internet]. 2018;16(2):146–56. Available from: https://ejournal.upi.edu/index.php/pedagogia/article/view/11327

Januraga PP. The role of social media support as public health intervention strategy in Indonesia. Public Heal Prev Med Arch. 2017;5(1):1.

C Colomina. Coronavirus Infodemics and Fake News. 2020.March: 1–3 https://www.cidob.org/en/publications/publication_series/opinion/seguridad_y_politica_mundial/coronavirus_infodemics_and_disinformation.

Pan American Healthcare Organization. Understanding the Infodemic and Misinformation in the Fight Against COVID-19. 2020. 1-6 https://www.paho.org/en/documents/understanding-infodemic-and-misinformation-fight-against-covid-19.

R. J Limaye, M Sauer., J. Ali, J. Bernstein, B. Wahl, A Barnhill, & A Labrique. Building Trust While Influencing Online COVID-19 Content in the Social Media World. The Lancet Digital Health. 2020. 2(6), e277–e278. https://doi.org/10.1016/S2589-7500(20)30084-4

A Sana, Combatting Against Covid‐19 & Misinformation: A Systematic Review, Human Arenas 2020 Oct 7: 1–16. https://doi.org/10.1007/s42087-020-00139-11

CR Mejia, D Ticona, JF Rodriguez-alarcon, AM Campos-urbina, JB, Catay-medina T Portaquinto, et al. The Media and their Informative Role in the Face of the Coronavirus Disease 2019 ( COVID-19 ): Validation of Fear Perception and Magnitude of the Issue ( MED-COVID-19 ). 2020;17(6).

K Al-Surimi, M Khalifa, S Bahkali, et al. The potential of social media and internet-based data in preventing and fighting infectious diseases: from internet to Twitter. Adv Exp Med Biol. 2017; 972:131-139. doi: 10.1007/ 5584_2016_132

AH Zadeh, HM Zolbanin, R Sharda, et al. Social media for nowcasting flu activity: spatio-temporal big data analysis. Information Systems Frontiers (2019) 21:743–760 https://doi.org/10.1007/s10796-018-9893-0

AR Ahmad, HR. Murad. The impact of social media on panic during the COVID-19 pandemic in Iraqi Kurdistan: online questionnaire study. Journal Medical Internet Research. 2020;22: e19556. doi: 10.2196/19556

JF-W Chan, S Yuan, KH Kok et.al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person to person transmission: a study of a family cluster. Lancet 2020;395(10223):514-523. doi: 10.1016/S0140-6736(20)30154-9

S Pagoto,ME Waring, R Xu. A call for a public health agenda for social media research. Journal of Medical Internet Research. 2019;21(12): e16661. doi: 10.2196/ 16661

AR Ahmad, HR Murad. The impact of social media on panic during the COVID-19 pandemic in Iraqi Kurdistan: online questionnaire study. Journal of Medical Internet Researchs. 2020;22: e19556. doi: 10.2196/19556

L Piper Liping, COVID-19 information on social media and preventive behaviors: Managing the pandemic through personal responsibility. Social Science Medicine 2021 May; 277: 113928.

L Xiaojing, L Qinliang. Social Media Use, eHealth Literacy, Disease Knowledge, and Preventive Behaviors in the COVID-19 Pandemic: Cross-Sectional Study on Chinese Netizens, Journal Medical Internet Research. 2020 Oct; 22(10): e19684.

GB Ferreira, S. Borges. Media and Misinformation in Times of COVID-19: How People Informed Themselves in the Days Following the Portuguese Declaration of the State of Emergency. Journal Media. 2020;1(1):108–21.

A Anwar, M Malik,V Raees, A Anwar. Role of Mass Media and Public Health Communications in the COVID-19 Pandemic. Cureus. 2020;12(9).

R Karasneh, S Al-Azzam, S Muflih, O Soudah, S Hawamdeh, Y Khader. Media’s effect on shaping knowledge, awareness risk perceptions and communication practices of pandemic COVID-19 among pharmacists. Res Soc Adm Pharm. 2021;17(1):1897–902.

A Teslya, TM Pham, NG Godijk, ME Kretzschmar, MCJ Bootsma, G Rozhnova. Impact of self-imposed prevention measures and short-term government-imposed social distancing on mitigating and delaying a COVID-19 epidemic: A modelling study. PLoS Med [Internet]. 2020;17(7):1–21. Available from: http://dx.doi.org/10.1371/journal.pmed.1003166

BL Zhong, W Luo, HM Li, QQ Zhang, XG Liu, WT Li, et al. Knowledge, attitudes, and practices towards COVID-19 among chinese residents during the rapid rise period of the COVID-19 outbreak: A quick online cross-sectional survey. Int J Biol Sci. 2020;16(10):1745–52

MZ Ferdous, MS Islam, MT Sikder,ASM Mosaddek, JA Zegarra-Valdivia, D Gozal. Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: An onlinebased cross-sectional study. PLoS One [Internet]. 2020;15(10 October):1–17. Available from: http://dx.doi.org/10.1371/journal.pone.0239254

PA Indrayathi, PP Januraga, PE Pradnyani, HA Gesesew and PR Ward (2021) Perceived Social Norms as Determinants of Adherence to Public Health Measures Related to COVID-19 in Bali, Indonesia. Front. Public Health 9:646764. doi: 10.3389/fpubh.2021.646764

DR Zeballos Rivas, ML Lopez Jaldin, B Nina Canaviri, LF Portugal Escalante, AMC Alanes Fernandez, JP Aguilar Ticona. Social media exposure, risk perception, preventive behaviors and attitudes during the COVID-19 epidemic in La Paz, Bolivia: A cross sectional study, PLoSONE .2021.16(1): e0245859,1-12. https://doi.org/10.1371/journal.pone.0245859

AA Sadore, DW Handiso, TE Wontamo, DE Mekango, S Moges. Influence of social media use on practice of COVID-19 preventive measures among Ethiopian residents: An online cross-sectional study. Disaster Med Public Health Prep.2021. doi: https://doi.org/10.1017/dmp.2021.184.

K McCaffery, RH Dodd, E Cvejic, J Ayre, C Batcup, JMJ Isautier, et al. Disparities in COVID-19 related knowledge, attitudes, beliefs and behaviours by health literacy. medRxiv. 2020;30(December):1–9.

CD Norman, HA Skinner. eHEALS: The eHealth Literacy Scale. Journal Medical Internet Research. 2006 Nov 14;8(4): e27 [FREE Full text] [doi: 10.2196/jmir.8.4. e27] [Medline: 17213046]

B Tennant, M Stellefson, V Dodd, B Chaney, D Chaney, S Paige, et al. eHealth literacy and Web 2.0 health information seeking behaviors among baby boomers and older adults. J Med Internet Res 2015 Mar 17;17(3): e70 [FREE Full text] [doi: 10.2196/jmir.3992] [Medline: 25783036]

KA Kim, YJ Kim, M Choi. Association of Electronic Health Literacy with Health-Promoting Behaviors in Patients with Type 2 Diabetes. CIN: Computers, Informatics, Nursing 2018;36(9):438-447. [doi: 10.1097/cin.0000000000000438]

J Hua, R Shaw. Corona Virus ( COVID-19 ) “ Infodemic ” and Emerging Issues through a Data Lens : The Case of China. 2020;(February).




DOI: http://doi.org/10.11591/ijphs.v11i4.21926

Refbacks

  • There are currently no refbacks.


International Journal of Public Health Science (IJPHS)
p-ISSN: 2252-8806, e-ISSN: 2620-4126

View IJPHS Stats

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.