Willingness to receive COVID-19 vaccines, associated factors and reasons for not taking a vaccine: a cross sectional study among persons aged 13-80 years in Wakiso, Central Uganda.

COVID-19 vaccine acceptance Central Uganda Determinants

Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
11 Apr 2024
Historique:
received: 29 04 2023
accepted: 03 04 2024
medline: 12 4 2024
pubmed: 12 4 2024
entrez: 11 4 2024
Statut: epublish

Résumé

Vaccination has been recommended as one of the approaches for the control of COVID-19 pandemic. However, adequate vaccine coverage is critical to the effectiveness of the vaccine at population level. Data on acceptability of the vaccine in Ugandan urban areas are limited. This study examined the prevalence, factors associated with willingness to accept COVID-19 vaccine including reasons for not taking COVID-19 vaccine in a predominantly urban population of Wakiso, central Uganda. Data were obtained from a cross-sectional study conducted between March 1st, 2021 and September 30th, 2021 in the urban population-based cohort of the Africa Medical and behavioral Sciences Organization (AMBSO). A Multivariable modified Poisson regression analysis was used to estimate adjusted prevalence ratios (aPR) and 95% confidence intervals of willingness to accept the COVID-19 vaccine. A total of 1,903 participants were enrolled in this study; 61% of whom were females. About 63% of participants indicated their willingness to accept the COVID-19 vaccine. Persons aged 13-19 years (aPR = 0.79; [95% CI: 0.74, 0.84]) or 20-29years (aPR = 0.93; [95% CI: 0.88, 0.98]) were less likely to accept the vaccine compared to persons aged 40-49 years. Persons with post-primary level of education (aPR = 1.05; [95% CI: 1.02, 1.09]) were more likely to accept the vaccine compared to persons with primary level of education. Additionally, students or individuals working in government (aPR = 1.13; [95% CI: 1.04, 1.23]) were more likely to accept the vaccine compared to individuals doing construction and Mechanic work as their main occupation. Reported reasons for not taking a COVID-19 vaccine included; concerns about side effects of the vaccine 154(57.0%), 64(23.7%) did not think the vaccines were effective, while 32(11.9%) did not like the vaccines. A substantial proportion of individuals were not willing to accept the COVID-19 vaccine. Health education campaigns on vaccination within urban communities could help reduce COVID-19 vaccine misconceptions in the urban populations more especially the young and persons with low levels of formal education.

Sections du résumé

BACKGROUND BACKGROUND
Vaccination has been recommended as one of the approaches for the control of COVID-19 pandemic. However, adequate vaccine coverage is critical to the effectiveness of the vaccine at population level. Data on acceptability of the vaccine in Ugandan urban areas are limited. This study examined the prevalence, factors associated with willingness to accept COVID-19 vaccine including reasons for not taking COVID-19 vaccine in a predominantly urban population of Wakiso, central Uganda.
METHODS METHODS
Data were obtained from a cross-sectional study conducted between March 1st, 2021 and September 30th, 2021 in the urban population-based cohort of the Africa Medical and behavioral Sciences Organization (AMBSO). A Multivariable modified Poisson regression analysis was used to estimate adjusted prevalence ratios (aPR) and 95% confidence intervals of willingness to accept the COVID-19 vaccine.
RESULTS RESULTS
A total of 1,903 participants were enrolled in this study; 61% of whom were females. About 63% of participants indicated their willingness to accept the COVID-19 vaccine. Persons aged 13-19 years (aPR = 0.79; [95% CI: 0.74, 0.84]) or 20-29years (aPR = 0.93; [95% CI: 0.88, 0.98]) were less likely to accept the vaccine compared to persons aged 40-49 years. Persons with post-primary level of education (aPR = 1.05; [95% CI: 1.02, 1.09]) were more likely to accept the vaccine compared to persons with primary level of education. Additionally, students or individuals working in government (aPR = 1.13; [95% CI: 1.04, 1.23]) were more likely to accept the vaccine compared to individuals doing construction and Mechanic work as their main occupation. Reported reasons for not taking a COVID-19 vaccine included; concerns about side effects of the vaccine 154(57.0%), 64(23.7%) did not think the vaccines were effective, while 32(11.9%) did not like the vaccines.
CONCLUSION CONCLUSIONS
A substantial proportion of individuals were not willing to accept the COVID-19 vaccine. Health education campaigns on vaccination within urban communities could help reduce COVID-19 vaccine misconceptions in the urban populations more especially the young and persons with low levels of formal education.

Identifiants

pubmed: 38605355
doi: 10.1186/s12879-024-09285-1
pii: 10.1186/s12879-024-09285-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

391

Subventions

Organisme : Karolinska Institutet, Sweden
ID : FOb2019-0010
Organisme : Karolinska Institutet, Sweden
ID : FOb2019-0010
Organisme : University of California, Los Angeles
ID : SS -4468
Organisme : University of California, Los Angeles
ID : SS -4468

Informations de copyright

© 2024. The Author(s).

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Auteurs

Alex Daama (A)

Africa Medical and Behavioral Sciences Organization, Nansana, Uganda. daamaalex6141@gmail.com.
Makerere University School of Public Health, Kampala, Uganda. daamaalex6141@gmail.com.

Naziru Rashid (N)

Makerere University School of Public Health, Kampala, Uganda.
Islamic University, Mbale, Uganda.
Mayuge Institute of Global Health Sciences Research and Innovation, Kampala, Uganda.

Kasango Asani (K)

Makerere University School of Public Health, Kampala, Uganda.

Grace Kigozi Nalwoga (GK)

Africa Medical and Behavioral Sciences Organization, Nansana, Uganda.

Fred Nalugoda (F)

Africa Medical and Behavioral Sciences Organization, Nansana, Uganda.

Robert Bulamba (R)

Africa Medical and Behavioral Sciences Organization, Nansana, Uganda.
Makerere University School of Public Health, Kampala, Uganda.

Emmanuel Kyasanku (E)

Africa Medical and Behavioral Sciences Organization, Nansana, Uganda.

Gertrude Nakigozi (G)

Africa Medical and Behavioral Sciences Organization, Nansana, Uganda.

Godfrey Kigozi (G)

Africa Medical and Behavioral Sciences Organization, Nansana, Uganda.

Joseph Kagaayi (J)

Makerere University School of Public Health, Kampala, Uganda.

Stephen Mugamba (S)

Africa Medical and Behavioral Sciences Organization, Nansana, Uganda.

Classifications MeSH