S/N | Citation | Country of Study | Aim of the study | Study population Characteristic | Study Setting | Study design | Sample Size | Sample technique | Analysis | Data source |
---|---|---|---|---|---|---|---|---|---|---|
1 | Iliyasu et al. (2021b) | Nigeria | To assess the predictors of acceptability of Covid-19 vaccines and reasons for vaccine hesitancy among members of staff of a tertiary hospital in Kano State, Northern Nigeria | Clinical and non-clinical staff of the hospital | Hospital-based | Sequential explanatory mixed method study (Structural survey and in-depth interview) | 343 | Stratified Purposive | SPSS version 22 Thematic analysis using the framework approach | Primary data from survey respondents and in-depth interview participants |
2 | Adebisi et al (2021) | Nigeria | To understand the perception of social media users regarding a hypothetical COVID-19 vaccine in Nigeria | Adult male and female social media users in Nigeria | Web-based | Cross-sectional survey | 517 | Non-probability convenient sampling | STATA 14 software Simple descriptive analysis Inferential Statistics (Chi-square test) | Primary data from survey |
3 | Iliyasu et al. (2021a) | Nigeria | 1. To assess predictors of acceptability of COVID-19 vaccine among adults in urban Kano 2. To identify reasons for vaccine hesitancy among adults in urban Kano Northern Nigeria | Adults in Tarauni and Nassarawa Local government areas of metropolitan Kano | Community-based | Mixed method design | 450 | Multi-stage sampling method | SPSS version 22 Logistic regression Thematic analysis using the framework approach | Primary data from survey respondents and in-depth interview participants |
4 | Agha et al (2021) | Nigeria | To understand drivers of COVID-19 vaccination uptake among healthcare workers in Nigeria | Adults Facebook users in Nigeria | Web-based | Cross-sectional survey | 496 | Stratified sampling | Basic descriptive statistics Multivariate analysis | Primary data from survey respondents |
5 | Kayanda et al., (2021) | Sub-Saharan African countries | To estimate willingness to accept the COVID-19 vaccine and identify differences in acceptance across countries and population groups | Adults’ participants in High- frequency phone surveys | Telephone-based | Quantitative descriptive | 416 million people (38% of the population of Sub-Saharan Africa) | Random sampling | Multivariate logistic regression Descriptive statistics | Cross-country comparable data from 6 sub-Saharan African countries |
6 | Okafor et al (2021) | Nigeria | To assess the acceptability and willingness to pay for hypothetical COVID-19 vaccine among Nigerians | Adults with internet access | Web-based | Cross-sectional survey | 770 | Not stated | Multivariate logistic regression SPSS version 25 | Primary data from phone survey respondents |
7 | Solis Arce et al. (2021) | Asia Africa South America Russia | To analyse COVID-19 acceptance across 15 survey samples covering 10 low and middle-income countries | Adults with access to mobile phones | Telephone-based | Cross-sectional survey | 44,260 | Random sampling Random digit dialling | R-software version 4.0.4 Random effect meta-analysis model | Primary data from phone survey respondents |
8 | Amuzie et al (2021) | Nigeria | To assess the socio-demographic factors associated with COVID-19 vaccine hesitancy among healthcare workers in Abia State, southeast Nigeria | Healthcare workers | Hospital-based | Cross-sectional survey | 416 | Simple random sampling | SPSS version 26 Bivariate analysis Multiple logistic regression Descriptive Statistics | Primary data from phone survey respondents |
9 | Uzochukwu et al (2021) | Nigeria | To estimate the proportion of the Nnamdi Azikwe University community willing to be vaccinated against COVID-19, level of hesitancy and its associated factors | Adult students and staff of the University | Community-based | Cross-sectional surveys | 349 | Convenience sampling technique | SPSS version 23 and Minitab version 19 Inferential statistics- Chi-square test Descriptive statistics | Primary data from phone survey respondents |
10 | Adigwe (2021) | Nigeria | To investigate the factors associated with vaccine hesitancy and willingness to pay for COVID-19 vaccination | Adults residing in Abuja metropolis | Community and web-based | Cross-sectional surveys | 1767 | Snowball sampling strategy | SPSS version 25 Inferential statistics- Chi-square test Descriptive statistics | Primary data from phone survey respondents |
11 | Eze et al (2021) | Nigeria | To assess the determinants of the COVID-19 vaccine acceptability among Nigerians | Adults in schools Corporate organisations, residential and, recreational areas and faith-based institutions | Population -based | Cross-sectional study | 360 | Simple random sampling | SPSS version 22, Inferential statistics, Chi-square test. Bivariate analysis | Primary data from phone survey respondents |
12 | Iliyasu et al (2022) | Nigeria | To assess the acceptability of the COVID-19 vaccine and identify predictors of vaccine hesitancy among people living with HIV/AIDS (PLWHIV) in a tertiary hospital in Kano State, Nigeria | Adult patients living with HIV | Clinic-based | Sequential explanatory mixed-method study | 360 | Systematic sampling | SPSS version 22 Binary Logistic regression Thematic analysis using the framework approach | Primary data from survey respondents and in-depth interview participants |
13 | Adedeji- Adenola et al., (2022) | Nigeria | To assess the factors influencing the awareness, perception and willingness to receive the COVID-19 vaccine among Nigerian adults | Adults-male and female, social media users in Nigeria | Web-based | Cross-sectional survey | 664 | Snowball sampling technique | SPSS version 24 and Microsoft Excel Logistic regression model | Primary data from survey respondents |
14 | Harapan et al., (2022) | Asia Africa South America | To determine the level of COVID-19 vaccine hesitancy among communities | Adults in Asia, Africa, and South America with internet access | Web-based | Cross -sectional study | 1832 | Not stated | SPSS software Logistic regression model | Primary data from survey respondents |
15 | Anjorin et al (2021) | Africa | To assess the potential for COVID-19 vaccine hesitancy and its determinants among Africans | Adult social media users | Web-based | Cross-sectional Continent-wide (Africa) survey | 5416 | Convenience Sampling method | Descriptive Statistics Chi-Square test Bivariate logistic regressive model | Primary data from survey respondents |