Demographic factors |
F1 |
Demographic factors such as gender (Dabla-Norris et al., 2021; Kabamba Nzaji et al., 2020; Kadoya et al., 2021; Troiano & Nardi, 2021; Wake, 2021; Wang et al., 2020), age (Dabla-Norris et al., 2021; Kuter et al., 2021; Malik et al., 2020; Troiano & Nardi, 2021), education levels (Kadoya et al., 2021; Malik et al., 2020; Troiano & Nardi, 2021), and marital status (Kadoya et al., 2021; Wang et al., 2020) influence the vaccine acceptance/hesitancy behavior. Education level is a critical factor and is one of the important correlates of vaccine acceptance (Ehde et al., 2021). |
Lack of vaccine literacy |
F2 |
The lack of vaccine literacy (Sung et al., 2021) and poor access to accurate and reliable information (Jarrett et al., 2015; Mills et al., 2020; Razai et al., 2021a, b). |
Lack of confidence vaccine and healthcare system |
F3 |
Lack of confidence in COVID vaccine (Chen et al., 2021) and the healthcare system contributes to COVID-19 vaccine hesitancy (Sung et al., 2021). |
Misinformation, disinformation, and conspiracy theories (MDCTs) |
F4 |
Misinformation, disinformation, rumors, and conspiracy theories, especially social media (Jarrett et al., 2015; Mills et al., 2020; Mo et al., 2021; Razai et al., 2021a, b). |
Acquired knowledge |
F5 |
Knowledge of the public about the epidemic/pandemic and its vaccination for prevention is important, but it is not enough to change behavior (Chaudhary et al., 2021; Goldstein et al., 2015). |
Perceived severity, risk, and concerns associated with COVID-19 and its variants |
F6 |
Perceived severity (Mo et al., 2021), concerns and risks (Ehde et al., 2021), source of information perceive side effects (Chaudhary et al., 2021; Troiano & Nardi, 2021), and lack of confidence in vaccine and their effectiveness (Solís Arce et al., 2021), coupled with the deficient healthcare system (Bono et al., 2021). Moreover, the risk perception of the risks due to COVID-19 and the health security after vaccination is important in vaccine acceptance or vaccine hesitancy behavior (Ehde et al., 2021). |
Poor health quality service (PHQS) and poor communication |
F7 |
Poor communication unfavorably affects vaccine acceptance and adds to vaccine hesitancy (MacDonald et al., 2015), discusses scarce communiqué resources, hampers the capability to deal with the destructive information about vaccines, and undermines the achievements of community support for vaccine programs. PHQS undermines acceptance in any given conditions. Even with well-resourced vaccination programs in high-income countries, PHQS is more likely to surge vaccine hesitancy and even utter refusal. Poorly communicated. |
Ineffective public awareness strategies |
F8 |
Insufficient and ineffective public health messages and targeted campaigns (Jarrett et al., 2015; Mills et al., 2020; Razai et al., 2021a, b). |
Socio-religious beliefs and biases and subjective norms and attitudes towards vaccine |
F9 |
The social-religious beliefs (Chaudhary et al., 2021) and biases make the public hesitant to believe in the need and necessity of vaccination. Subjective norms play important role in participants’ attitudes toward vaccines and COVID vaccine acceptance/hesitancy (Winter et al., 2021). |
Socioeconomic and healthcare inequalities |
F10 |
Socioeconomic and healthcare inequalities intensify health-related issues (Jarrett et al., 2015; Laurencin, 2021; Mills et al., 2020; Razai et al., 2021a, b). |
Economic factors |
F11 |
Economic factors such as household income and assets have an impact on behaviors toward vaccine acceptance/hesitancy (Kadoya et al., 2021; Laurencin, 2021). |
Political factor(s) |
F12 |
Political views are one of the critical factors in vaccine hesitancy (Albrecht, 2022). |