Volume 11, Issue 3 (9-2022)                   JCHR 2022, 11(3): 191-201 | Back to browse issues page


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Egun N K, Igborgbor J C. investigating the effect of Infodemic on the Perception and Willingness to Take the COVID – 19 Vaccine in Delta State, Nigeria. JCHR 2022; 11 (3) :191-201
URL: http://jhr.ssu.ac.ir/article-1-811-en.html
1- Department of Animal and Environmental Biology, University of Benin, Edo State, Nigeria , kenegun@yahoo.com
2- Department of Biology, University of Delta, Agbor, Delta State, Nigeria
Abstract:   (229 Views)
Introduction: The rollout of COVID-19 vaccine in response to the COVID-19 pandemic has been accompanied by infodemic. This study ascertained the influence of infodemic on individuals’ willingness to be vaccinated for increased vaccine coverage in Delta State.
Methods: In this cross-sectional study, 2500 respondents across the twenty five Local Government Areas in Delta State, with age of at least 15 years were selected using stratified random sampling to provide an appropriate demographic representation. A researcher – made questionnaire including demographic characteristics and questions related to participants' knowledge and attitude regarding COVID-19 vaccine was used. Descriptive Statistics of Frequency (Percentage) was used for data analysis using Microsoft Excel software version 2016.
Results: Demography of respondents showed that secondary education was highest (43%), while 50% of the respondents were urban dwellers.  80.44% of the respondents admitted to the existence of the virus, while 45.84% admitted to its existence in Delta State. 27.68% of the respondents were willing to take the COVID-19 vaccine; while 58.08% declined. 63% of respondents had access to social media; and majority of them (52%) admitted to not verifying health information seen on social media with medical experts. Majority of the respondents willing to take the vaccine were aged 45 to 60 years (42.37%); reside in urban areas, have tertiary education, access to social media; and often verified health information with medical experts. Infodemic about the COVID-19 vaccine and lack of trust in the government were identified as the major debilitating factors to the public acceptance of the vaccine.
Conclusion: Improving  COVID-19 vaccine coverage in Delta State requires a holistic approach of combating misinformation about the vaccine,, regulation of health information shared on the social media space, and criminalizing the act of infodemic.

 Infodemic, COVID-19 vaccine, health information, social media, public health, Delta State.
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Review: Research | Subject: Health information management
Received: 2021/10/2 | Accepted: 2022/09/19 | Published: 2022/10/19

References
1. World Health Organization. Infodemic, 2022. https://www.who.int/health-topics/infodemic#tab=tab_1. Assessed 15 January, 2022.
2. Rothkopf DJ. SARS also spurs an 'information epidemic'. Newsday. 14 May 2003. ProQuest 279705520. https://www.proquest.com/newspapers/sars-also-spurs-information-epidemic/docview/279705520/se-2. Assessed 12 December 2020.
3. World Health Organization. WHO Coronavirus (COVID-19) Dashboard, 2021. https://covid19.who.int/. Assessed August 28, 2021.
4. Thomas J, Peterson GM, Walker E, Christenson JK, Cowley M, Kosari S, Baby KE, Naunton M. Fake news: medicines misinformation by the media. Clin Pharmacol Ther., 2018; 104 (6): 1059 - 1061. [DOI:10.1002/cpt.1199]
5. Mheidly N, Fares J. Leveraging media and health communication strategies to overcome the COVID‑19 infodemic. Journal of Public Health Policy, 2020; 41:410 - 420. [DOI:10.1057/s41271-020-00247-w]
6. Madadizadeh F, Sefidkar R. Ranking and Clustering Iranian Provinces Based on COVID-19 Spread: K-Means Cluster Analysis. Journal of Environmental Health and Sustainable Development. 2021 Mar 10;6(1):1184-95. [DOI:10.18502/jehsd.v6i1.5761]
7. Del Vicario M, Bessi A, Zollo F, Petroni F, Scala A, Caldarelli G, Stanley HE, Quattrociocchi W. The spreading of misinformation online. Proc Natl Acad Sci USA, 2016; 113 (3): 554 - 559. [DOI:10.1073/pnas.1517441113]
8. Lazer DM, Baum MA, Benkler Y, Berinsky AJ, Greenhill KM, Menczer F, Metzger MJ, Nyhan B, Pennycook G, Rothschild D, Schudson M. The science of fake news. Science, 2018; 359 (6380): 1094 - 1096. [DOI:10.1126/science.aao2998]
9. Hua J, Shaw R. Coronavirus (Covid-19) "infodemic" and emerging issues through a data lens: the case of China. Int J Environ Res Public Health, 2020; 17 (7): 2309. [DOI:10.3390/ijerph17072309]
10. Pulido CM, Villarejo-Carballido B, Redondo-Sama G, Gómez A. COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information. Int Sociol., 2020: 0268580920914755. [DOI:10.1177/0268580920914755]
11. Larson HJ. The biggest pandemic risk? Viral misinformation. Nature, 2018; 562 (7726): 309 - 10. [DOI:10.1038/d41586-018-07034-4]
12. Nigeria Centre for Disease Control. First Case of Corona Virus Disease Confirmed in Nigeria. 28 February 2020. Assessed August 28, 2021.
13. Bahariniya S, Madadizadeh F. Alcohol: A Double-Edged Sword in the Fight Against COVID-19. Health Scope. 2021 May 31;10(2). [DOI:10.5812/jhealthscope.113136]
14. Sefidkar R, Madadizadeh F. A summary of the main actions of the Iranian government during the Covid-19: From March 5 until December 20 in 2020. Journal of Community Health Research. 2021 Mar 10;10(1):1-3. [DOI:10.18502/jchr.v10i1.5825]
15. Geldsetzer P. Knowledge and perceptions of COVID-19 among the general public in the United States and the United Kingdom: a cross-sectional online survey. Ann. Intern. Med. 2020; 173: 157-160. [DOI:10.7326/M20-0912]
16. Islam M. S. et al. COVID-19-related infodemic and its impact on public health: a global social media analysis. Am. J. Trop. Med. Hyg. 2020; 103, 1621-1629 [DOI:10.4269/ajtmh.20-0812]
17. Kim HK, Ahn J, Atkinson L, Kahlor LA. Effects of COVID-19 misinformation on information seeking, avoidance, and processing: a multicountry comparative study. Sci Commun 2020; 42, https://doi.org/10.1177/1075547020959670 [DOI:10.1177/ 1075547020959670]
18. Roozenbeek, J. et al. Susceptibility to misinformation about COVID-19 around the world. R. Soc. Open Sci. 2020; 7, 201199 [DOI:10.1098/rsos.201199]
19. Bahariniya S, Ezatiasar M, Madadizadeh F. Recommendation for How to Improve Taking Care of the Elderly with Covid-19. Journal of Community Health Research. 2021. [DOI:10.18502/jchr.v10i4.8332]
20. CDC Africa. COVID-19 Vaccine Perceptions: A 15-country study. African Centre for Disease Control and Prevention, February 2021.
21. Omirhobo A, Egun NK. Concept Paper on Best Contemporary Waste Management Practices in Delta State, Nigeria, 2015.
22. Jung S.H. Stratified Fisher's exact test and its sample size calculation. Biom. J., 2014; 56: 129 -140. https://doi.org/ 10.1002/bimj.201300048 [DOI:10.1002/bimj.201300048]
23. Bahariniya S, Asar ME, Madadizadeh F. Caring of Health Care Team in COVID-19 Crisis. Psychology. 2020;25(7):883-7.
24. Basti M, Madadizadeh F. A beginner's guide to sampling methods in medical research. Critical Comments in Biomedicine. 2021 Sep 30;2(2). [DOI:10.18502/ccb.v2i2.7397]
25. Lukrecija Djeri, Tanja Armenski, Dragan Tesanovic, Milan Bradić & Svetlana Vukosav (2014) Consumer behaviour: influence of place of residence on the decision-making process when choosing a tourist destination, Economic Research-Ekonomska Istraživanja, 27:1, 267-279, DOI: 10.1080/1331677X.2014.952108 [DOI:10.1080/1331677X.2014.952108]
26. Taheri Soodejani M, Hosseini S, Sefidkar R, Madadizadeh F, Fallahzadeh H, Dehghan A, Dehghani Tafti N, Lotfi MH. Comorbidity and its Impact on mortality of COVID-19 in Yazd province, a central part of Iran: a hospital-based study. Journal of Community Health Research. 2022 Jun 10;11(2):137-41. [DOI:10.18502/jchr.v11i2.10002]
27. Larson HJ, Hartigan-Go K, Figueiredo A. Vaccine confidence plummets in the Philippines following dengue vaccine scare: why it matters to pandemic preparedness. Hum. Vaccines Immunother., 2019; 15 (3): 625 - 627. [DOI:10.1080/21645515.2018.1522468]
28. Ekoko ON. An Assessment of Health Information Literacy among Rural Women in Delta State, Nigeria. Library Philosophy and Practice (e-journal), 2020; 3533. https://digitalcommons.unl.edu/libphilprac/3533
29. Butt M, Mohammed R, Butt E, Butt S, Xiang J. Why Have Immunization Efforts in Pakistan Failed to Achieve Global Standards of Vaccination Uptake and Infectious Disease Control? Rmhp, 2020; 13:111 -124. doi:10.2147/rmhp.s211170 [DOI:10.2147/RMHP.S211170]
30. Global Alliance for Vaccines and Immunization (GAVI). Delivering Together: Nigeria States of Change. https://www.gavi.org/delivering/nigeria. Last updated: 17 Dec 2019. Accessed August 18, 2021.
31. Dorfan NM, Woody SR. Danger appraisals as prospective predictors of disgust and avoidance of contaminants. J Soc Clin Psychol., 2011; 30:105 - 132. [DOI:10.1521/jscp.2011.30.2.105]
32. Yang JZ, Chu H. Who is afraid of the Ebola outbreak? The influence of discrete emotions on risk perception. J Risk Res., 2018; 21:834 - 853. [DOI:10.1080/13669877.2016.1247378]
33. Kundu S, Al Banna MH, Sayeed A et al. Knowledge, attitudes, and preventive practices toward the COVID-19 pandemic: an online survey among Bangladeshi residents. J Public Health (Berl.), 2021. https://doi.org/10.1007/s10389-021-01636-5 [DOI:10.1007/ s10389-021-01636-5]
34. Muhammad A, Cheema D, Tariq E, Shafiq Y. Rebuilding Trust on Routine Immunization in Era of COVID-19 Fear-Role that Civil Society Organizations can Play Hands-in-Hand with Immunization Program. Public Health Reviews, 2021; 42:12. [DOI:10.3389/phrs.2021.1603989]
35. Fridman A, Gershon R, Gneezy A. COVID-19 and vaccine hesitancy: A longitudinal study. PLOS ONE, Published: April 16, 2021 [DOI:10.1371/journal.pone.0250123]
36. Endrich MM, Blank PR, Szucs TD. Influenza vaccination uptake and socioeconomic determinants in 11 European countries. Vaccine. 2009; 27(30):4018 - 24. pmid:19389442 [DOI:10.1016/j.vaccine.2009.04.029]
37. Timmermans DR, Henneman L, Hirasing RA, Van der Wal G. Attitudes and risk perception of parents of different ethnic backgrounds regarding meningococcal C vaccination. Vaccine. 2005; 23(25):3329 - 35. pmid:15837239 [DOI:10.1016/j.vaccine.2005.01.075]
38. Galarce EM, Minsky S, Viswanath K. Socioeconomic status, demographics, beliefs and A (H1N1) vaccine uptake in the United States. Vaccine. 2011; 29(32):5284 - 9. pmid:21621577 [DOI:10.1016/j.vaccine.2011.05.014]
39. Uddin M, Cherkowski GC, Liu G, Zhang J, Monto AS, Aiello AE. Demographic and socioeconomic determinants of influenza vaccination disparities among university students. Journal of Epidemiology & Community Health. 2010; 64(9):808 - 13. pmid:19828514 [DOI:10.1136/jech.2009.090852]
40. Chou C, Tucker C. Fake News and advertising on social media: a study of the anti-vaccination movement. National Bureau of Economic Research. 2018; 25223. [DOI:10.3386/w25223]
41. Evrony A, Caplan A. The overlooked dangers of anti-vaccination groups' social media presence. Human Vaccines & Immunotherapeutics. 2017; 13 (6); 1475-1476. pmid:28406737 [DOI:10.1080/21645515.2017.1283467]
42. Smith N, Graham T. Mapping the anti-vaccination movement on Facebook. Information, Communication & Society. 2017; 22: 1310 - 1327. [DOI:10.1080/1369118X.2017.1418406]
43. Schmidt AL, Zollo Z, Scala A, Betsch C, Quattrociocchi W. Polarization of the vaccination debate on Facebook. Vaccine. 2018; 36: 3606 - 3612. pmid:29773322 [DOI:10.1016/j.vaccine.2018.05.040]
44. Germani F, Biller-Andorno N. The anti-vaccination infodemic on social media: A behavioral analysis. PLoS ONE 2021; 16 (3): e0247642. [DOI:10.1371/journal.pone.0247642]
45. World Health Organanization (WHO). Ten threats to global health in 2019. World Health Organization News, March 21. 2019. https://www.who.int/vietnam/news/feature-stories/detail/ten-threats-to-global-health-in-2019
46. Lane S, MacDonald NE, Marti M, Dumolard L. 2018. Vaccine hesitancy around the globe: analysis of three years of WHO/UNICEF Joint Reporting Form data-2015-2017. Vaccine 36:3861-67 [DOI:10.1016/j.vaccine.2018.03.063]
47. Siddiqui M, Salmon DA, Omer SB. Epidemiology of vaccine hesitancy in the United States. Hum. Vaccin. Immunother. 2013; 9: 2643 - 48 [DOI:10.4161/hv.27243]
48. Dubé E, Jeremy K. Ward, Pierre Verger, Noni E. MacDonald 2021. Vaccine Hesitancy, Acceptance, and Anti-Vaccination: Trends and Future Prospects for Public Health. Annual Review of Public Health, 2021; 42 (1): 175-191 [DOI:10.1146/annurev-publhealth-090419-102240]
49. Loomba S, de Figueiredo A, Piatek S.J. et al. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nat Hum Behav., 2021; 5, 337 - 348. [DOI:10.1038/s41562-021-01056-1]

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