Misinformation and COVID-19 vaccine uptake hesitancy among frontline workers in Tanzania: Do demographic variables matter?

References

• Barua Z, Barua S, Aktar S, Kabir N, Li M. Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation. Prog Disaster Sci. 2020;8:100119. doi:10.1016/j.pdisas.2020.100119.
   PubMedGoogle Scholar
• Masele JJ, Daud E. Sources of information and the influence of misinformation on COVID-19 vaccine uptake hesitancy among frontline workers in Tanzania: evidences from Dar es Salaam and Dodoma. Glob Know Mem Comm. 2022. doi:10.1108/GKMC-05-2022-0103.
   Web of Science ®Google Scholar
• Rajkumar RP. COVID-19 and mental health: a review of the existing literature. Asian J Psychiatry. 2020;52:102066. doi:10.1016/j.ajp.2020.102066.
   PubMed Web of Science ®Google Scholar
• Xiao Y, Torok ME. Taking the right measures to control COVID-19. Lancet Infect Dis. 2020;20(5):523–10. doi:10.1016/S1473-3099(20)30152-3.
   PubMed Web of Science ®Google Scholar
• Zandifar A, Badrfam R. Iranian mental health during the COVID-19 epidemic. Asian J Psychiatry. 2020;51(3):101990. doi:10.1016/j.ajp.2020.101990.
   PubMedGoogle Scholar
• Djalante R, Lassa J, Setiamarga D, Mahfud C, Sudjatma A, Indrawan M. Review and analysis of current responses to COVID-19 in Indonesia: period of January to March 2020. Prog Disaster Sci. 2020;6:100091. doi:10.1016/j.pdisas.2020.100091.
   PubMedGoogle Scholar
• Pennycook G, McPhetres J, Zhang Y, Rand D. Fighting COVID-19 misinformation on social media: experimental evidence for a scalable accuracy nudge intervention. Psychol Sci. 2020;31(7):770–80. doi:10.1177/0956797620939054.
   PubMed Web of Science ®Google Scholar
• Sharpe HR, Gilbride C, Allen E, Sandra Belij-Rammerstorfer S, Bissett C, Ewer K, Lambe T. The early landscape of COVID-19 vaccine development in the UK and rest of the world. Immunology. 2020;2:2–4.
   Google Scholar
• Kwok KO, Li KK, Chan HHH, Tang YY, Tang A, Wei WI, Wong SYS. Community responses during early phase of COVID-19 epidemic, Hong Kong. Emerging Infectious Dis. 2020;26(7):1575–1579.
   PubMed Web of Science ®Google Scholar
• Menezes NP, Simuzingili M, Debebe ZY, Pivodic F, Massiah E. What is driving COVID-19 vaccine hesitancy in Sub-Saharan Africa. Africa can end poverty. 2021 [accessed 2021 Oct 11]. https://blogs.worldbank.org/africacan/what-driving-COVID-19-vaccine-hesitancy-sub-saharan-africa.
   Google Scholar
• Mohammad A, Alshawaf E, Marafie SK, Abu-Farha M, Abubaker J, Al-Mulla F. Higher binding affinity of furin for SARS-CoV-2 spike (S) protein D614G mutant could be associated with higher SARS-CoV-2 infectivity. Int J Infect Dis. 2021;103:611–616. doi:10.1016/j.ijid.2020.10.033.
   Web of Science ®Google Scholar
• Kricorian K, Civenb R, Equilsa O. COVID-19 vaccine hesitancy: misinformation and perceptions of vaccine safety. Hum Vacc Imm. 2022;18(1):e1950504. doi:10.1080/21645515.2021.1950504.
   PubMed Web of Science ®Google Scholar
• Nicola M, Alsafi Z, Sohrabi C, Kerwan A, Al-Jabir A, Iosifidis C, Agha M, Agha R. The socio-economic implications of the coronavirus pandemic (COVID-19): a review. Int J Surg. 2020;78:185–93. doi:10.1016/j.ijsu.2020.04.018. PMID:32305533; PubMed Central PMCID: PMC7162753.
   PubMed Web of Science ®Google Scholar
• El-Elimat T, AbuAlSamen MM, Almomani, BA, Al-Sawalha NA, Alali FQ. Acceptance and attitudes toward COVID-19 vaccines: a cross-sectional study from Jordan. Plos One. 2021;16(4):e0250555. doi:10.1371/journal.pone.0250555.
   Google Scholar
• Kaddoura M, AlIbrahim M, Hijazi G, Soudani N, Audi A, Alkalamouni H. COVID-19 therapeutic options under investigation. Front Pharmacol. 2020;11:1196. doi:10.3389/fphar.2020.01196. PMID:32848795; PubMed Central PMCID: PMC7424051.
   PubMed Web of Science ®Google Scholar
• Rodrigues CMC, Plotkin SA. Impact of vaccines; health, economic and social perspectives. Front Microbiol. 2020;11:1526. doi:10.3389/fmicb.2020.01526. PMID:32760367; PubMed Central PMCID: PMC7371956.
   PubMed Web of Science ®Google Scholar
• Sakay N. COVID-19 by the numbers: vaccinated continue to be protected. Fact checked by Dana K. Cassell; 2021. https://www.healthline.com/health-news/covid-19-by-the-numbers-vaccinated-continue-to-be-protected.
   Google Scholar
• Ehreth J. The value of vaccination: a global perspective. Vaccine. 2003;21(27):4105–4117.
   Google Scholar
• OECD. Enhancing public trust in COVID-19 vaccination: the role of governments, OECD policy responses to coronavirus (COVID-19). 2021. www.oecd.org/coronavirus/policyresponses/enhancing-public-trust-in-covid-19-vaccination-the-role-of-governments-eae0ec5a/.
   Google Scholar
• Watson OJ, Barnsley G, Toor J, Toor J, Hogan AB, Winskill P, Ghani AC. Global impact of the first year of COVID-19 vaccination: a mathematical modelling study. Lancet Infect Dis. 2022;22(9):1293–302. doi:10.1016/S1473-3099(22)00320-6.
   PubMed Web of Science ®Google Scholar
• Krastev S, Krajden O, Vang ZM, Jua´rez FPG, Solomonova E, Goldenberg M, Weinstock D, Smith MJ, Turk L, Lin X, et al. Navigating the uncertainty: a novel taxonomy of vaccine hesitancy in the context of COVID-19. PLoS One. 2023;18(12):e0295912. doi:10.1371/journal.pone.0295912.
   PubMed Web of Science ®Google Scholar
• Brown P, Waite F, Larkin M, Lambe S, McShane H, Pollard AJ, Freeman D. It seems impossible that it’s been made so quickly: a qualitative investigation of concerns about the speed of COVID-19 vaccine development and how these may be overcome. Hum Vacc Imm. 2022;18(1):2004808. doi:10.1080/21645515.2021.2004808.
   PubMed Web of Science ®Google Scholar
• MacDonald NE. Vaccine hesitancy: definition, scope and determinants. Vaccine. 2015;33:4161–4. doi:10.1016/j.vaccine.2015.04.036. PMID: 25896383.
   PubMed Web of Science ®Google Scholar
• Lazarus JV, Ratzan SC, Palayew A, Gostin LO, Larson HJ, Rabin K, Kimball S, El-Mohandes A. A global survey of potential acceptance of a COVID-19 vaccine. Nature Med. 2020;27(2):225–8. doi:10.1038/s41591-020-1124-9.
   PubMed Web of Science ®Google Scholar
• WHO. Ten threats to global health in 2019. 2019 [accessed 2021 Dec 15]. https://www.who.int/news-room/spotlight/ten-threats-to-global-health-in-2019.
   Google Scholar
• IPSOS. U.S. and U.K. are optimistic indicators for COVID-19 vaccination uptake. 2020. https://www.ipsos.com/en/global-attitudes-covid-19-vaccine-december-2020.
   Google Scholar
• Afzal A, Shariff MA, Perez-Gutierrez V, Khalid A, Pili C, Pillai A, Venugopal U, Kasubhai M, Kanna B, Poole BD, et al. Impact of local and demographic factors on early COVID-19 vaccine hesitancy among health care workers in New York City public hospitals. Vaccines. 2022;10(2):273. doi:10.3390/vaccines10020273.
   Web of Science ®Google Scholar
• Coustasse A, Kimble C, Maxik K. COVID-19 and vaccine hesitancy: a challenge the United States must overcome. J Ambul Care Manage. 2021;44(1):71–5. doi:10.1097/JAC.0000000000000360.
   PubMed Web of Science ®Google Scholar
• Mahmud R, Reza RB, Ahmed SMZ. The effects of misinformation on COVID-19 vaccine hesitancy in Bangladesh. Glob Know Mem Comm. 2021;72(1/2):82–97. doi:10.1108/GKMC-05-2021-0080.
   Web of Science ®Google Scholar
• Rampersad G, Althiyabi T. Fake news: acceptance by demographics and culture on social media. J Inf Technol Polit. 2020;17(1):1–11. doi:10.1080/19331681.2019.1686676.
   Web of Science ®Google Scholar
• Bapaye JA, Bayape HA. Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study. JMIR Public Health Surveillance. 2021;7(1):e19858.
   Google Scholar
• ALL Global Union. COVID-19 vaccination hesitancy comes under the spotlight at Sub Saharan Africa occupational health and safety meeting; 2021. https://www.industriall-union.org/covid-19-vaccination-hesitancy-comes-under-the-spotlight-at-sub-saharan-africa-occupational-health.
   Google Scholar
• Cooper S, van Rooyen H, Wiysonge CS. COVID-19 vaccine hesitancy in South Africa: how can we maximize uptake of COVID-19 vaccines?. Expert Rev Vaccines. 2021;20(8):921–933. doi:10.1080/14760584.2021.1949291.
   Google Scholar
• Ravelo JL, Byatnal A. Devex checkup: the misinformation causing vaccine hesitancy in Kenya. Inside Development; 2021. www.devex.com/news/devex-checkup-the-misinformationcausing-vaccine-hesitancy-in-kenya-101875.
   Google Scholar
• Kombe C. Tanzania President launches COVID-19 vaccination campaign; 2021. https://www.voanews.com/covid-19-pandemic/tanzania-president-launches-covid-19-vaccination-campaign.
   Google Scholar
• Makoye K. Tanzania identifies 550 COVID-19 vaccination centres; 2021. https://www.aa.com.tr/en/africa/tanzania-identifies-550-covid-19-vaccination-centres/2319824.
   Google Scholar
• Mwai P. Covid in Tanzania: vaccination campaign gets underway. 2021 [accessed 2021 Aug 21]. https://www.bbc.com/news/57641824.
   Google Scholar
• Scannell D, Desens L, Day DS, Tra Y. Combatting Mis/Disinformation: combining predictive modeling and machine learning with persuasion science to understand COVID-19 vaccine online discourse. Med Res Arch. 2022;10. doi:10.18103/mra.v10i5.2822.
   Google Scholar
• Yang L, Grenfell BT, Mina MJ. Waning immunity and re-emergence of measles and mumps in the vaccine era. Curr Opin Virol. 2020;40(1):48–54. doi:10.1016/j.coviro.2020.05.009.
   PubMedGoogle Scholar
• Mohamad E, Tham JS, Mohd Ajis SZ, Hamzah MR, Ayub SH, Tri Sakti AM, Azlan AA. Exposure to misinformation, risk perception, and confidence towards the government as factors influencing negative attitudes towards COVID-19 vaccination in Malaysia. Int J Environ Res Public Health. 2022;19:14623. doi:10.3390/ijerph192214623.
   PubMed Web of Science ®Google Scholar
• Scannell D, Desens L, Guadagno M, Tra Y, Acker E, Sheridan K, Rosner M, Mathieu J, Fulk M. COVID-19 vaccine discourse on twitter: a content analysis of persuasion techniques, sentiment and Mis/Disinformation. J Health Commun. 2021;26(7):443–59. doi:10.1080/10810730.2021.1955050.
   PubMed Web of Science ®Google Scholar
• Nuzhath T, Tasnim S, Sanjowa RK, Trisha NF, Rahman M, Mahmud F, Arman A, Chakraborty S. Hossain M. COVID-19 vaccination hesitancy, misinformation and conspiracy theories on social media: A content analysis of Twitter data. 2020. doi:10.31235/osf.io/vc9jb.
   Google Scholar
• Atyabi SH, Rommasi F, Ramezani MH, Ezabadi MFG, Arani MAA, Sadeghi MH, Ahmed MM, Rajabi A, Dehghan N, Sohrabi A, et al. Relationship between blood clots and COVID-19 vaccines: a literature review. Open Life Sci. 2022;17:401–15. doi:10.1515/biol-2022-0035.
   PubMed Web of Science ®Google Scholar
• Masele JJ, Daud E. Sources of information and the influence of misinformation on COVID-19 vaccine uptake hesitancy among frontline workers in Tanzania: evidences from Dar es Salaam and Dodoma. Glob Know Mem Comm. 2022. doi:10.1108/GKMC-05-2022-0103.
   Google Scholar
• Aborode AT, Fajemisin EA, Ekwebelem OC, Tsagkaris C, Taiwo EA, Uwishema O, Awoniyi OO, Ahmad S, Essar MY, Adanur I, et al. Vaccine hesitancy in Africa: causes and strategies to the rescue. Ther Adv Vaccines Immunother. 2021;9:1–5. doi:10.1177/25151355211047514.
   Google Scholar
• Greenspan S. Annals of gullibility: why we get duped and how to avoid it: why we get duped and how to avoid it. Santa Barbara (CA): ABC-CLIO; 2008.
   Google Scholar
• Pan W, Liu D, Fang J. An examination of factors contributing to the acceptance of online health misinformation. Front Psychol. 2021;12(630268). doi: 10.3389/fpsyg.2021.630268.
   Google Scholar
• Ruiz JB, Bell RA. Predictors of intention to vaccinate against COVID-19: Results of a nationwide survey. Vaccine. 2021;39(7):1080–1086.
   Google Scholar
• Harvard Kennedy School Misinformation Review. Who is afraid of fake news? Modeling risk perceptions of misinformation in 142 countries. 2022;3(3). doi:10.37016/mr-2020-97.
   Google Scholar
• Feng Q, Ma Z. The dissemination of on-line rumours and social class differences: a study on the on-line food-safety rumours. J Comm Rev. 2019;28:28–41.
   Google Scholar
• Sherif CW, Sherif M, editors. Attitude, ego-involvement, and change. New York: Wiley; 1967.
   Google Scholar
• Sherif M, Hovland CI. Social judgment: assimilation and contrast effects in communication and attitude change. New Haven (CT): Yale University Press; 1961.
   Google Scholar
• Smith SW, Atkin CK, Martell D, Allen R, Hembroff L. A social judgment theory approach to conducting formative research in a social norms campaign. Commun Theory. 2006;16(1):141–52. doi:10.1111/j.1468-2885.2006.00009.x.
   Web of Science ®Google Scholar
• Brehmer B. Social judgment theory and the analysis of interpersonal conflict. Psychol Bulletin. 1976;83:985. doi:10.1037/0033-2909.83.6.985.
   Google Scholar
• Greenhill KM, Oppenheim B. Rumor has it: The adoption of unverified information in conflict zones. Int Stud Quarterly. 2017;61(3):660–676. doi:10.1093/isq/sqx015.
   Google Scholar
• Wardle C. Understanding information disorder: an interdisciplinary framework for research and policy for the council of Europe. 2019 [accessed 2022 July 20]. https://firstdraftnews.org/wp-content/uploads/2019/10/Information_Disorder_Digital_AW.pdf?x76701.
   Google Scholar
• Wardle C, Derakhshan H. Information Disorder: Toward an Interdisciplinary Framework for Research and Policy Making, Council of Europe F-67075, Strasbourg Cedex. 2017.
   Google Scholar
• Vosoughi S, Roy D, Aral S. The spread of true and false news online. Sci. 2018;359(6380):1146–1151. doi:10.1126/science.aap9559.
   Google Scholar
• Lewandowsky S, Ecker U K H, Seifert C, Schwarz N, Cook J. Misinformation and its correction: Continued influence and successful debiasing. Psychol. Sci Public Interest. 2012;13:106–131. doi:10.1177/1529100612451018.
   Google Scholar
• Nyhan B, Reifler J. When corrections fail: The persistence of political misperceptions. Polit Behav. 2010;32(2):303–330. doi:10.1007/s11109-010-9112-2.
   Google Scholar
• Thorson E. Belief Echoes: The Persistent Effects of Corrected Misinformation. Polit Commun. 2016;33(3):460–480. doi:10.1080/10584609.2015.1102187.
   Google Scholar
• Venturini T. From fake to junk news, the data politics of online virality. In: Bigo D, Isin E, Ruppert E, editors. Data politics: Worlds, subjects, rights. London: Routledge; 2019.
   Google Scholar
• Gallotti R, Valle F, Castaldo N, Sacco P, De Domenico M. Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics. Nature and Human Behav. 2020;4(12):1285–1293. doi:10.1038/s41562-020-00994-6.
   Google Scholar
• Garfin DR, Silver RC, Holman EA. The novel coronavirus (COVID-2019) outbreak: amplification of public health consequences by media exposure. Health Psychol. 2020;39:355–357. doi:10.1037/hea0000875.
   Google Scholar
• Barua Z, Barua S, Aktar S, Kabir N, Li M. Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation. Prog. Disaster Sci. 2020;8(2020):100119.
   Google Scholar
• Park CS. Applying “Negativity Bias” to Twitter: Negative News on Twitter, Emotions, and Political Learning. J Inf Technol Polit. 2015;12(4):342–359. doi:10.1080/19331681.2015.1100225.
   Google Scholar
• Baum MA, Ognyanova K, Chwe H, Quintana A, Pelis R, Lazer D, Druckman J, Santillana M, Lin J, Della V, et al.The state of the nation: a 50- state covid-19 survey. Report #14. Misinformation and vaccine acceptance; 2020.
   Google Scholar
• Vicol D-O. Who is most likely to believe and to share misinformation? Report. Pew Research Center; 2020.
   Google Scholar
• Hossain E, Islam S, Ghose TK, Jahan H, Chakrobortty S, Hossen S, Ema NS. COVID-19 vaccine acceptability among public university students in Bangladesh: highlighting knowledge, perceptions, and attitude. Hum Vacc Imm. 2021;17(12):5089–98. doi:10.1080/21645515.2021.2010426.
   PubMed Web of Science ®Google Scholar
• Blau FD, Meyerhofer PA, Koebe J. Essential and frontline workers in the COVID-19 crisis. The EconoFact Network; 2020.
   Google Scholar
• Anthoine E, Moret L, Regnault A, Sébille V, Hardouin JB. Sample size used to validate a scale: a review of publications on newly-developed patient reported outcome measures. Health Qual Life Outcomes. 2014;12(2):1. doi:10.1186/s12955-014-0176-2.
   Google Scholar
• 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;13:1949–60. doi:10.2147/IDR.S258736.
   PubMed Web of Science ®Google Scholar
• Kaliyaperumal K. Guideline for conducting a knowledge, attitude and practice (KAP) study. Comm Ophthalmol. 2004;4:8–9.
   PubMedGoogle Scholar
• Hosmer DW Jr., Lemeshow S. Applied logistic regression. 2nd ed. New York: John Wiley & Sons, Inc; 2000. doi:10.1002/0471722146.
   Google Scholar
• Hart A. Mann-Whitney test is not just a test of medians: differences in spread can be important. BMJ. 2001;323:391–3. doi:10.1136/bmj.323.7309.391.
   PubMed Web of Science ®Google Scholar
• Maffioli EM, Gonzalez R. Are sociodemographic and economic characteristics good predictors of misinformation during an epidemic? PLoS Glob Public Health. 2022;2(3):e0000279. doi:10.1371/journal.pgph.0000279.
   PubMedGoogle Scholar