Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research
Mulugeta Hayelom Kalayou, Shekur Mohammed Awol Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, EthiopiaCorrespondence: Mulugeta Hayelom Kalayou, Wollo University, Dessie, Ethiopia, Email Mhayelom5@gmail.comBackground: To p...
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2022-10-01
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| Series: | Risk Management and Healthcare Policy |
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| Online Access: | https://www.dovepress.com/myth-and-misinformation-on-covid-19-vaccine-the-possible-impact-on-vac-peer-reviewed-fulltext-article-RMHP |
| _version_ | 1811205281963573248 |
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| author | Kalayou MH Awol SM |
| author_facet | Kalayou MH Awol SM |
| author_sort | Kalayou MH |
| collection | DOAJ |
| description | Mulugeta Hayelom Kalayou, Shekur Mohammed Awol Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, EthiopiaCorrespondence: Mulugeta Hayelom Kalayou, Wollo University, Dessie, Ethiopia, Email Mhayelom5@gmail.comBackground: To prevent the spread of COVID-19 and carry out a successful vaccination program especially in low-income countries, people must have faith on scientists and health experts. The most significant challenge to vaccination programs’ efficacy is now regarded to be a lack of information and trust in immunization due to myths and misinformation spread in the community. Therefore, this study aimed to identify the myth and misconceptions that are propagated about the COVID-19 vaccine, the refusal rate of the vaccine and determine the factors associated with COVID-19 vaccine refusal.Methods: A community-based cross-sectional study was conducted from December 7 to January 25, 2022. Face-to-face interviews with a standardized questionnaire were used to collect data on the variables. Data were entered into the statistical tool Epi data version 3.1 and then exported to SPSS version 25 for analysis. Binary logistic regression, both bivariable and multivariable, was conducted. In the multivariable binary logistic regression model, the adjusted odds ratio with 95% confidence interval was used to declare statistically significant factors based on a p value less than 0.05.Results: Out of the total 574 respondents, 60.3% [95% CI (55.5, 64.2)] of them refused to take COVID-19 vaccine. In this study, respondent’s age [AOR = 2.1 at 95% CI: (1.8, 4.9)], perception on COVID-19 vaccine [AOR = 3.0 at 95 CI: (1.9, 4.6)], eHealth literacy [AOR = 2.7 at 95% CI: (1.7, 4.1)], source of information about the vaccine [AOR = 2.9 at 95% CI: (1.9, 4.4)], computer literacy [AOR = 2.8 at 95 CI: (1.8, 4.2)] and frequency of internet use [AOR = 2.2 at 95 CI: (1.8, 5.3)] were identified as determinant factors for COVID-19 vaccine acceptance.Conclusion: Factors like eHealth literacy, source of information about the vaccine, frequency of internet use, respondent’s perception about the vaccine and computer literacy were found to be determinant factors for COVID-19 vaccine acceptance.Keywords: myth, misinformation, vaccine, COVID-19, Ethiopia |
| first_indexed | 2024-04-12T03:28:04Z |
| format | Article |
| id | doaj.art-328e1f129e05472aaffb3e52223de341 |
| institution | Directory Open Access Journal |
| issn | 1179-1594 |
| language | English |
| last_indexed | 2024-04-12T03:28:04Z |
| publishDate | 2022-10-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Risk Management and Healthcare Policy |
| spelling | doaj.art-328e1f129e05472aaffb3e52223de3412022-12-22T03:49:37ZengDove Medical PressRisk Management and Healthcare Policy1179-15942022-10-01Volume 151859186878701Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based ResearchKalayou MHAwol SMMulugeta Hayelom Kalayou, Shekur Mohammed Awol Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, EthiopiaCorrespondence: Mulugeta Hayelom Kalayou, Wollo University, Dessie, Ethiopia, Email Mhayelom5@gmail.comBackground: To prevent the spread of COVID-19 and carry out a successful vaccination program especially in low-income countries, people must have faith on scientists and health experts. The most significant challenge to vaccination programs’ efficacy is now regarded to be a lack of information and trust in immunization due to myths and misinformation spread in the community. Therefore, this study aimed to identify the myth and misconceptions that are propagated about the COVID-19 vaccine, the refusal rate of the vaccine and determine the factors associated with COVID-19 vaccine refusal.Methods: A community-based cross-sectional study was conducted from December 7 to January 25, 2022. Face-to-face interviews with a standardized questionnaire were used to collect data on the variables. Data were entered into the statistical tool Epi data version 3.1 and then exported to SPSS version 25 for analysis. Binary logistic regression, both bivariable and multivariable, was conducted. In the multivariable binary logistic regression model, the adjusted odds ratio with 95% confidence interval was used to declare statistically significant factors based on a p value less than 0.05.Results: Out of the total 574 respondents, 60.3% [95% CI (55.5, 64.2)] of them refused to take COVID-19 vaccine. In this study, respondent’s age [AOR = 2.1 at 95% CI: (1.8, 4.9)], perception on COVID-19 vaccine [AOR = 3.0 at 95 CI: (1.9, 4.6)], eHealth literacy [AOR = 2.7 at 95% CI: (1.7, 4.1)], source of information about the vaccine [AOR = 2.9 at 95% CI: (1.9, 4.4)], computer literacy [AOR = 2.8 at 95 CI: (1.8, 4.2)] and frequency of internet use [AOR = 2.2 at 95 CI: (1.8, 5.3)] were identified as determinant factors for COVID-19 vaccine acceptance.Conclusion: Factors like eHealth literacy, source of information about the vaccine, frequency of internet use, respondent’s perception about the vaccine and computer literacy were found to be determinant factors for COVID-19 vaccine acceptance.Keywords: myth, misinformation, vaccine, COVID-19, Ethiopiahttps://www.dovepress.com/myth-and-misinformation-on-covid-19-vaccine-the-possible-impact-on-vac-peer-reviewed-fulltext-article-RMHPmythmisinformationvaccinecovid-19ethiopia |
| spellingShingle | Kalayou MH Awol SM Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research Risk Management and Healthcare Policy myth misinformation vaccine covid-19 ethiopia |
| title | Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research |
| title_full | Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research |
| title_fullStr | Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research |
| title_full_unstemmed | Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research |
| title_short | Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research |
| title_sort | myth and misinformation on covid 19 vaccine the possible impact on vaccination refusal among people of northeast ethiopia a community based research |
| topic | myth misinformation vaccine covid-19 ethiopia |
| url | https://www.dovepress.com/myth-and-misinformation-on-covid-19-vaccine-the-possible-impact-on-vac-peer-reviewed-fulltext-article-RMHP |
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