Skip to main content
Public Health Challenges logoLink to Public Health Challenges
. 2022 Oct 13;1(4):e20. doi: 10.1002/puh2.20

Association between health and safety perceptions of COVID‐19 vaccine and its uptake in Ghana

Simon Appah Aram 1, John Elvis Hagan Jr 2,3, George Kweku Afriyie Mansoh 4, Benjamin M Saalidong 5, Patrick Osei Lartey 6, Bright Opoku Ahinkorah 7, Abdul‐Aziz Seidu 8,9,, Edward Kwabena Ameyaw 7, Augustine Appiah 1, Divine Worlanyor Hotor 10, Justice Gyimah 11
PMCID: PMC9874404  PMID: 37519313

Abstract

Background

Attitudes towards vaccines have affected COVID‐19 vaccination programs in many countries. This study sought to evaluate the effects of general perceptions on the safety and health concerns and the confidence in COVID‐19 vaccines on its uptake in Ghana.

Methods

A cross‐sectional online survey was conducted between January and March 2021. The outcome variables for this study were “Taking mandatory COVID‐19 vaccine” and “Taking voluntary COVID‐19 vaccine”. The data were subjected to both descriptive (frequency, percentages, and chi‐square tests) and inferential (complementary log‐log logistic regression) analyses.

Results

Out of 620 Ghanians who participated in the survey, about 80% of the participants believed that vaccines were good for one’s health and 73% had confidence on COVID‐19 vaccine safety; although 81% of the respondents were particularly concerned about the source of the vaccine. 79% and 71% of respondents indicated their willingness for mandatory and voluntary COVID‐19 vaccination, respectively. In all operationalized regression models, Ghanaians who believed that vaccines are healthy (OR = 1.998, Cl = 1.345–2.968; OR = 1.652, Cl = 1.050–2.601) and those who had confidence in a COVID‐19 vaccine safety (OR = 4.405, Cl = 3.136–6.188; OR = 8.340, Cl = 5.471–12.713) were more likely to take a mandatory or voluntary COVID‐19 vaccine compared to those who thought and believed otherwise. Individual preferences and/or intentions towards COVID‐19 vaccine uptake and uptake route (i.e., mandatory, voluntary) were influenced by multifaceted determinants: biosocial (age, marital status, education), socio‐cultural (religion, source of vaccine as a concern), and location (geographical zone) factors.

Conclusion

To consolidate and possibly increase vaccine uptake in response to the COVID‐19 pandemic in Ghana, health education and promotion programs should aim at creating awareness on the benefits of vaccine uptake while addressing the health and safety concerns on the potential side effects through evidence‐based community messaging from credible sources. It is important to show specific commitment to transparency and reliable information to build public trust by decision‐makers.

Keywords: Ghana, health, mandatory vaccination, safety, vaccine uptake, voluntary vaccination


This study sought to evaluate the effects of general vaccine health perceptions and the confidence in COVID‐19 vaccine safety towards uptake in Ghana. The findings showed that about 80% of participants believed that vaccines were good for the health and 73% had confidence in a COVID‐19 vaccine safety, although 81% of the respondents were particularly concerned about the source of the vaccine. To consolidate and possibly increase vaccine uptake in response to the COVID‐19 pandemic in Ghana, health education and promotion programs should aim at creating awareness on the benefits of vaccine uptake while addressing the health and safety concerns on the potential side effects through evidence‐based community messaging from credible sources.

graphic file with name PUH2-1-e20-g002.jpg

BACKGROUND

The novel coronavirus, declared a global pandemic by the World Health Organization (WHO), came with many uncertainties regarding its origin, nature and course. [1] The pandemic has seen countries roll out pandemic response and preparedness, the major components being the administration of vaccines. [2] Governments globally imposed lockdowns, physical distancing, regular washing of hands and mandatory wearing of nose masks all as part of measures to halt the spread of the coronavirus. [3, 4] As part of a global effort to save lives, there was an unprecedented effort worldwide to find an effective vaccine against the pandemic. Given the scale of its severity, the development phase of a potential vaccine was expected to be proceeded by large‐scale vaccination programs in order to attain herd immunity against the virus. [5]

Finding an effective and safe vaccine for COVID‐19 would certainly be of great value to the fight against the pandemic. However, as the vaccines become available to the population, there are concerns on the uptake of these vaccines even as governments tend to prioritize health workers and other selected groups for the vaccination program. [5] In the event that there are enough vaccines in circulation, it does not automatically correspond to its acceptance by the public. The acceptance and usage of anti‐H1NI vaccine in 2009 was low. [6] The willingness to accept or reject vaccination is a major factor for the success of any vaccination program. It would be interesting to know the general reaction of the population towards voluntary or mandatory vaccine uptake. Varying responses to the willingness to accept COVID‐19 vaccine have been observed in parts of Europe. [5] Although many respondents reacted positively to vaccination, not all were in agreement. A model of determinants of vaccine hesitancy influences vaccine acceptance. Based on this premise, various explanations have been cited to influence a person's decision to accept or reject a COVID‐19 vaccine. [5, 79]

First is vaccine hesitancy, which is a behaviour influenced by issues of confidence, complacency and convenience. Vaccine hesitant individuals are a mixed group of people who hold varying degrees of indecision about vaccination or specific ones. [9] Among individuals who have shown resistance to vaccination programs could be influenced by a variety of serious considerations that are not about competing biological risks. [2] Most of these considerations are much of social, economic, religious, or moral beliefs. Additionally, trust in the effectiveness and safety of vaccines as well as the health delivery system, including the reliability and competence of the health system and policy makers who decide which vaccines are major issues. A divergent opinion has always been observed in communities that feel unrepresented by authorities in policy making and thus lack confidence in authorities that makes the decision regarding vaccination. These peculiar issues define vaccine confidence, which exists on a continuum and determines an individual's decision to accept a vaccine. [9] Vaccine complacency exists where perceived risks of vaccine preventable infections are low and vaccination is not seen as necessary preventive action. This tendency can be influenced by under‐appreciation of the value of vaccine or lack of knowledge. [9]

Vaccine convenience, which also affects decision to vaccinate, bothers on the quality of the service, real or perceived and the degree to which vaccination services are delivered at a time and location and in a way that is considered appealing, affordable, convenient, and comfortable. [9, 10, 11] Vaccine decision making by a populace is a complex process with many factors directly or indirectly affecting such decisions with some more important in certain contexts, experience, and circumstances. [10, 1214] There have been proven records to show that there exists a gap between intention and actual behaviour to get vaccinated. In Germany, for example, a study showed that willingness to take influenza vaccine was about 45%, whereas the actual intake was about 9.4%. [15] Vaccine acceptance among general population can be associated with perceived risk of the COVID‐19 vaccine, side effects, religious beliefs, and level of education among other factors.

For a vaccination program to be effective, it depends on wide vaccine uptake even for high efficacy vaccines. Therefore, it is important to understand the various factors that affect a person's willingness to get vaccinated or otherwise to establish effective public health strategies. [16, 17] Previous studies on vaccine acceptance (see [18], [19]) were conducted in the pre‐pandemic stage when no COVID‐19 vaccines were available and mainly focused on frontline healthcare professionals. Those literature may not provide a good indication of vaccine uptake because of changing public perceptions of the pandemic and the available vaccines as the situation evolves. [20] Few studies have been conducted in Ghana to ascertain the extent to which the general populace will accept a COVID‐19 vaccine. It will be useful to understand the Ghanaian view on the current COVID‐19 vaccination for the management and response of the outbreak. This study investigates the effects of vaccine health and safety perceptions on COVID‐19 vaccine uptake in the Ghanaian context. Findings from the study will help in the implementation of health education and promotion programs that create awareness on the benefits of vaccine uptake while addressing the health and safety concerns on the potential side effects through evidence‐based community messaging from credible sources.

MATERIALS AND METHODS

Study design, data collection and sampling

A cross‐sectional survey was employed in this study between January and March 2021. The questionnaire was disseminated and administered through social media such as Twitter, Facebook, and WhatsApp using google forms. Convenience sampling was used to select volunteer participants for this study. A pilot study was conducted by the research team among 60 selected Ghanaians to pre‐test the questionnaire. The pilot study was to improve the content of the questionnaire by contextualizing it to better fit the purpose of the study. In all, 620 responses were received and used for this study based on a 95% confidence interval and at a 4% error rate.

Study variables

Outcome variables

The outcome variables for this study were “Taking mandatory COVID‐19 vaccine” and “Taking voluntary COVID‐19 vaccine.” For each of these variables, respondents were asked if (1) they were willing to take a COVID‐19 vaccine shot if it is a requirement for a process or activity and (2) they were willing to voluntarily take a COVID‐19 vaccine. Response were given as “Yes” and “No” for each question.

Key predictors

The key predictors were “Belief that vaccines are healthy” and “Confidence in a COVID‐19 vaccine.” Participants were asked if they (1) believed that vaccines were generally healthy and (2) had confidence in a COVID‐19 vaccine safety. A response of “Yes” for any of the two questions meant that the participant believed that vaccines were generally healthy and also a potential COVID‐19 vaccine was safe. A “No” response implied otherwise.

Compositional and location variables

The compositional factors denote the social and demographic attributes of the respondents. The compositional attributes in this case were the biosocial and sociocultural factors of the respondents. Biosocial factors are attributes present at birth and cannot be changed because of its intrinsic physical and biological components. This included gender (male or female) and age (18–24, 25–34, 35–50). The sociocultural attributes (values, customs, habits, beliefs etc. of the people) selected for this study were marital status (single or married), educational level (No formal education, Senior High, Tertiary), employment status (No or Yes), religion (Christianity, Islam, Others) and concern about vaccine source (No or Yes). Ghana was divided into three zones; Northern zone (Northern, Upper East, Upper West, Savannah and North East Regions), Middle zone (Ashanti, Ahafo, Oti, Western North, Bono East and Bono Regions), and the Southern zone (Western, Central, Greater Accra, Eastern and Volta Regions). These zones (see Figure 1) were created based on social, economic, and geographical similarities and for parsimony.

FIGURE 1.

FIGURE 1

A map showing the geographical zones

Data analyses

The data analyses were done using Stata 15 MP (StataCorp, College Station, TX, USA) at a statistical significance of 0.05 and at a confidence interval of 95%. Descriptive analysis was used to examine the distribution of characteristics of respondents, vaccine health and safety perception and COVID‐19 vaccine uptake. Univariate, bivariate and complementary log‐log logistic regression statistical techniques were employed to assess associations between the dependent variables (“taking mandatory COVID‐19 vaccine” and “taking voluntary COVID‐19 vaccine”) and the explanatory variables. Three models were run; key predictors + biosocial (model 1), socio‐cultural (model 2), and location (model 3).

RESULTS

Respondents, health and safety perceptions and vaccine uptake

Table 1 shows the descriptive results. Male participants were 53% while female participants were 47%. Most of the respondents were aged 25–34 (58%). Participants who believed that vaccines were healthy were 80% while the remaining 20% believed that vaccines were not healthy. Also 73% had confidence in the safety of a COVID‐19 vaccine. However, 81% of the respondents were particularly concerned about the source of the vaccine. As shown in Figure 2, 79% of respondents indicated they will take a mandatory COVID‐19 vaccine while the remaining 21% indicated they will not take a mandatory COVID‐19 vaccine. Also, 71% of participants indicated they will take a voluntary COVID‐19 vaccine shot while the remaining 29% gave a dissented response. The reason why most of the participants were aged 18–34, had a tertiary education, were single and from the Southern zone is supported by the use of online survey in this study, where majority of those who responded to the surveys had access to social media platforms. Few older, married, those with no formal education and those in the Northern part of Ghana may not have access to social media platforms.

TABLE 1.

Demographic characteristics of respondents

Variables Frequency (n) Percentage (%)
Gender
Male 329 53
Female 291 47
Age
18–24 179 29
25–34 358 58
35–50 43 7
Above 50 40 6
Marital status
Single 508 82
Married 112 18
Education
No formal 54 9
Senior High School (SHS) 81 13
Tertiary 485 78
Religion
Christianity 499 80
Islam 105 17
Others 16 3
Employment status
No 343 55
Yes 277 45
Concern about vaccine source
No 67 11
Yes 553 89
Country zone
Southern 489 79
Middle 67 11
Northern 64 10
Belief that vaccine is healthy
No 122 20
Yes 498 80
Confidence in COVID‐19 vaccine safety
No 167 27
Yes 453 73

FIGURE 2.

FIGURE 2

Percentage distribution of taking a mandatory and voluntary COVID‐19 vaccine by respondents

Predictors of taking a mandatory versus voluntary COVID‐19 shots

Table 2 presents Pearson's chi‐square test of independence. Pearson's chi‐square test was used to determine whether the observed differences in taking a mandatory shot and voluntary shot and, biosocial, as well as sociocultural and location factors were independent. For mandatory COVID‐19 vaccine shot, belief that vaccine is healthy (χ 2 = 150.3731, p < 0.001) and having confidence in COVID‐19 vaccine safety (χ 2 = 219.4854, p < 0.001) had statistically significant association with mandatory COVID‐19 vaccine shot. For the biosocial factors, gender and age had no statistically significant association with taking mandatory COVID‐19 vaccine shot. Of the sociocultural factors, religion (χ 2 = 8.1482, p ≤ 0.05) and vaccine source (χ 2 = 9.2048, p ≤ 0.005) had statistically significant association with taking mandatory COVID‐19 vaccine shot. Country zones (χ 2 = 9.2048, p = < 0.001) was statistically significant with taking mandatory COVID‐19 vaccine shot. For voluntary COVID‐19 vaccine shot, also in Table 2, belief that vaccine is healthy (χ 2 = 125.9256, p < 0.001) and having confidence in COVID‐19 vaccine safety (χ 2 = 278.9495, p < 0.001) had statistically significant association with voluntarily taking COVID‐19 vaccine shot. Among the sociocultural factors, only religion (χ 2 = 10.9674, p < 0.05) had statistically significant association with voluntarily taking a COVID‐19 vaccine shot. Furthermore, country zones (χ 2 = 9.9530, p < 0.005) also demonstrated statistically significant difference with taking voluntary COVID‐19 vaccine shot.

TABLE 2.

Percentage distribution of taking a mandatory and voluntary COVID‐19 shot by predictor variables

Mandatory shot Voluntary shot
Variables No (%) Yes (%) No (%) Yes (%)
Vaccine is healthy χ 2 (1) = 150.3731, p < 0.001 χ 2 (1) = 125.9256, p < 0.001
No 76 (62.3) 46 (37.7) 85 (69.67) 37 (30.33)
Yes 57 (11.45) 441 (88.55) 92 (18.47) 406 (81.53)
Vaccine is safe χ 2 (1) = 219.4854, p < 0.001 χ 2 (1) = 278.9495, p < 0.001
No 103 (61.68) 64 (38.32 131 (78.44) 36 (21.56)
Yes 30 (6.62) 423 (93.38) 46 (10.15) 407 (89.85)
Gender χ 2 (1) = 0.7523, p = 0.386 χ 2 (1) = 0.7698, p = 0.380
Male 75 (22.8) 254 (77.20) 89 (27.05) 240 (72.95)
Female 58 (19.93) 233 (80.07) 88 (30.24) 203 (69.76)
Age χ 2 (3) = 3.5741, p = 0.311 χ 2 (3) = 5.7949, p = 0.122
18–24years 42 (23.46) 137 (76.54) 53 (29.61) 126 (70.39)
25–34years 78 (21.29) 280 (78.21) 108 (30.17) 250 (69.83)
35–50years 9 (20.93) 34 (79.07) 11 (25.58) 32 (74.42)
Above 50 years 4 (10) 36 (90) 5 (12.5) 35 (87.50)
Marital status χ 2 (1) = 0.0681, p = 0.794 χ 2 (1) = 1.9067, p = 0.167
Single 110 (21.65) 398 (78.35) 151 (29.72) 357 (70.28)
Married 23 (20.54) 89 (79.46) 26 (23.21) 86 (76.79)
Education χ 2 (2) = 3.1645, p = 0.206 χ 2 (2) = 5.8068, p = 0.055
No formal 9 (16.67) 45 (83.33) 8 (14.81) 46 (85.19)
SHS/VOC 23 (28.40) 58 (71.6) 22 (27.16) 59 (72.84)
Tertiary 133 (21.45) 487 (78.55) 147 (30.31) 338 (69.69)
Religion χ 2 (2) = 8.1482, p ≤ 0.05 χ 2 (2) = 10.9674, p < 0.05
Christianity 114 (22.85) 385 (77.15) 148 (29.66) 351 (70.34)
Islam 13 (12.38) 92 (87.62) 20 (19.05) 85 (80.95)
Other 6 (37.50) 10 (62.50) 9 (56.25) 7 (43.75)
Employment χ2 (1) = 3.5536, p = 0.059 χ 2 (1) = 1.1215, p = 0.290
No 64 (18.66) 279 (81.34) 92 (26.82) 251 (73.18)
Yes 69 (24.91) 208 (75.09) 85 (30.69) 192 (69.31)
Vaccine source χ 2 (1) = 9.2048, p ≤ 0.005 χ 2 (1) = 1.2303, p = 0.267
No 24 (35.82) 43 (64.18) 23 (34.33) 44 (65.67)
Yes 109 (19.71) 444 (80.29) 154 (27.85) 399 (72.15)
Zones χ 2 (2) = 9.2048, p ≤ 0.001 χ2 (2) = 9.9530, p < 0.005
Southern 124 (25.36) 365 (74.64) 152 (31.08) 337 (68.92)
Middle 6 (8.96) 61 (91.04) 17 (25.37) 50 (74.63)
Northern 3 (4.69) 61 (95.31) 8 (12.50) 56 (87.50)

Bivariate logistic regression of taking mandatory COVID‐19 vaccine shot and predictor variables

For the key predictors in the bivariate analysis in Table 3, belief that vaccine is healthy and having confidence in a COVID‐19 vaccine safety were statistically significant in predicting taking mandatory COVID‐19 vaccine shot. Ghanaians who believed that vaccines are healthy and Ghanaians who had confidence in the safety of a COVID‐19 vaccine were 4.580 and 5.617 times, respectively, more likely to take a mandatory COVID‐19 vaccine shot. Also, Ghanaians who were above 50 years were 1.588 times more likely to take a mandatory COVID‐19 vaccine shot as compared to their 18–24 years counterparts. Likewise, Muslims were 1.415 times more likely to take a mandatory COVID‐19 vaccine shot as compared to Christians. Ghanaians from the middle and northern zones were 1.759 and 2.230 times more probable to take a mandatory COVID‐19 vaccine shot as compared to those from the southern zone, respectively.

TABLE 3.

Bivariate complementary log‐log regression of taking mandatory and voluntary COVID‐19 vaccine shot

Mandatory shot Voluntary shot
Variables OR Robust SE p‐Value Conf. interval OR Robust SE p‐Value Conf. interval
Vaccine is healthy (ref: No)
Yes 4.580 0.731 <0.001 3.349 6.263 4.673 0.816 <0.001 3.319 6.580
Vaccine is safe (ref: No)
Yes 5.617 0.798 <0.001 4.252 7.421 9.420 1.677 <0.001 6.645 13.354
Gender (ref: Male)
Female 1.091 0.109 0.385 0.896 1.327 0.915 0.093 0.381 0.749 1.117
Age (ref: 18‐24years)
25‐34 years 1.051 0.120 0.662 0.841 1.314 0.985 0.114 0.894 0.784 1.236
35‐50years 1.079 0.228 0.720 0.713 1.632 1.120 0.239 0.595 0.738 1.701
Above 50 years 1.588 0.359 0.041 1.019 2.475 1.709 0.380 0.016 1.105 2.643
Marital status (ref: Single)
Married 1.035 0.134 0.793 0.802 1.334 1.204 0.157 0.155 0.932 1.555
Education (ref: No formal)
SHS/VOC 0.703 0.155 0.109 0.456 1.082 0.683 0.151 0.084 0.443 1.052
Tertiary 0.876 0.157 0.459 0.616 1.244 0.625 0.113 0.009 0.439 0.890
Employed (ref: No)
Yes 0.828 0.083 0.061 0.679 1.009 0.898 0.092 0.291 0.735 1.097
Religion (ref: Christianity)
Islam 1.415 0.193 0.011 1.083 1.848 1.364 0.183 0.020 1.049 1.774
Others 0.664 0.222 0.221 0.345 1.278 0.473 0.184 0.054 0.221 1.012
Concern of vaccine source (ref: No)
Yes 1.582 0.266 0.006 1.138 2.199 1.196 0.200 0.285 0.862 1.659
Zones (ref: Southern)
Middle 1.759 0.301 0.001 1.257 2.460 1.174 0.192 0.327 0.852 1.617
Northern 2.230 0.430 <0.001 1.528 3.255 1.780 0.301 0.001 1.277 2.480

Bold values are significant at <0.05.

Bivariate logistic regression of taking voluntary COVID‐19 vaccine shot and predictor variables

From Table 3, belief that vaccine is healthy and having confidence in the safety of a COVID‐19 vaccine were statistically significant in predicting taking voluntary COVID‐19 vaccine shot. Ghanaians who believed that vaccines are healthy and had confidence in the safety of a COVID‐19 vaccine were 4.673 and 9.420 times more likely to take a voluntary COVID‐19 vaccine shot, respectively. Additionally, Ghanaians who were above 50 years were 1.709 times more likely to take a voluntary COVID‐19 vaccine shot as compared to their 18–24 years counterparts. Counterintuitively, Ghanaians with tertiary education were 38% less likely to take a voluntary COVID‐19 vaccine shot as compared to those with no formal education. Muslims were also 1.364 times more likely to take voluntary COVID‐19 vaccine shot as compared to Christians. Ghanaians from the northern zone were 1.780 times more likely to take a voluntary COVID‐19 vaccine shot as compared to those from the southern zone.

Multivariate complementary log‐log regression model predicting taking mandatory COVID‐19 vaccine shot

Table 4 is a complementary log‐log multivariate logistic regression showing the three models; key predictors + biosocial model, sociocultural model, and the location model for predicting taking mandatory COVID‐19 vaccine shot in Ghana. In model 1 (key predictors+ biosocial), belief that vaccine is healthy, and having confidence in a COVID‐19 vaccine safety were statistically significant predictors of taking mandatory COVID‐19 vaccine shot. Ghanaians who believed that vaccines are healthy, and Ghanaians who had confidence in the safety of a COVID‐19 vaccine were 2.047 and 4.056 times more probable to take a mandatory COVID‐19 vaccine shot, respectively. Of the biosocial factors, Ghanaians who were between the ages 25 and 34 years were 1.345 times more likely to take a mandatory COVID‐19 vaccine shot as compared to those who were between 18 and 24 years.

TABLE 4.

Multivariate complementary log‐log regression model predicting taking mandatory COVID‐19 vaccine shot

Variables Model 1: Key predictors + Biosocial factors Model 2: Key predictors + Biosocial factors + Socio cultural factors Model 3: Key predictors + Biosocial factors + Socio cultural factors + Location Factor
Legal requirement shot OR Robust SE p‐Value Conf. interval OR Robust SE p‐Value Conf. interval OR Robust SE p‐Value Conf. interval
Vaccine is healthy (ref: No)
Yes 2.047 0.383 <0.001 1.419 2.953 2.060 0.406 <0.001 1.400 3.031 1.998 0.403 0.001 1.345 2.968
Vaccine is safe (ref: No)
Yes 4.056 0.678 <0.001 2.923 5.628 4.220 0.714 <0.001 3.028 5.881 4.405 0.764 <0.001 3.136 6.188
Gender (ref: Male)
Female 1.241 0.159 0.092 0.966 1.594 1.281 0.171 0.064 0.986 1.664 1.301 0.179 0.055 0.994 1.703
Age (ref: 18–24years)
25‐34 years 1.345 0.190 0.035 1.020 1.773 1.400 0.225 0.036 1.022 1.918 1.394 0.229 0.043 1.011 1.924
35‐50years 1.486 0.373 0.114 0.909 2.430 1.415 0.382 0.199 0.833 2.401 1.289 0.352 0.352 0.755 2.201
Above 50 years 1.625 0.444 0.075 0.952 2.775 1.240 0.479 0.577 0.582 2.642 1.274 0.478 0.519 0.610 2.659
Marital status (ref: Single)
Married 1.115 0.193 0.530 0.794 1.564 1.130 0.207 0.507 0.789 1.618
Education (ref: No formal)
SHS/VOC 0.698 0.208 0.229 0.389 1.253 0.663 0.187 0.146 0.381 1.154
Tertiary 0.717 0.207 0.248 0.407 1.261 0.624 0.170 0.084 0.365 1.066
Employed (ref: No)
Yes 0.865 0.114 0.273 0.668 1.120 0.894 0.122 0.409 0.684 1.167
Religion (ref: Christianity)
Islam 1.637 0.239 0.001 1.230 2.178 1.384 0.247 0.069 0.974 1.964
Others 1.371 0.494 0.382 0.676 2.778 1.190 0.462 0.654 0.556 2.549
Concern about vaccine source (ref: No)
Yes 1.474 0.283 0.043 1.012 2.146 1.592 0.326 0.023 1.066 2.377
Zones (ref: Southern)
Middle 2.334 0.558 <0.001 1.461 3.728
Northern 1.832 0.587 0.059 0.978 3.431

Bold values are significant at <0.05.

In model 2, where sociocultural factors were controlled for, belief that vaccine is healthy and having confidence in a COVID vaccine safety were still statistically significant predictors of taking a mandatory COVID‐19 vaccine shot. Age was still the only significant predictor among the biosocial factors. Of the sociocultural factors, Muslims were 1.637 times more likely to take a mandatory COVID‐19 vaccine shot as compared to their Christian counterparts. Likewise, Ghanaians who were concerned about the source of a COVID‐19 vaccine were 1.474 times more likely to take a mandatory COVID‐19 vaccine shot as compared to those who did not care where the vaccine came from.

When location was controlled for in model 3, belief that vaccine is healthy and having confidence in the safety of a COVID vaccine were robust and persisted in predicting taking a mandatory COVID‐19 vaccine shot. Ghanaians who believed that vaccines are healthy and had confidence in a COVID‐19 vaccine safety were 1.998 and 4.405 times, respectively, more likely to take a mandatory COVID‐19 vaccine shot as compared to Ghanaians who did not believe vaccines are healthy and also did not trust the safety of a COVID‐19 vaccine. Of the biosocial and sociocultural factors, only age and vaccine source were significant predictors. Ghanaians who were 25–34 years were 1.394 times more likely to take a mandatory COVID‐19 vaccine shot as compared to those who were 18–24 years. Similarly, Ghanaians who were concerned about the source of a potential COVID‐19 vaccine were 1.592 times more likely to take a mandatory COVID‐19 vaccine shot as compared to those who were not bothered about the source of a COVID‐19 vaccine. For the location factor, Ghanaians from the middle zone were 2.334 times more likely to take a mandatory COVID‐19 vaccine shot as compared to those in the southern zone.

Multivariate complementary log‐log regression model predicting taking voluntary COVID‐19 vaccine shot

Table 5 is also a complementary log‐log multivariate logistic regression showing the three models; key predictors + biosocial model, sociocultural model, and the location model for predicting taking voluntary COVID‐19 vaccine shot. In model 1 (key predictors+ biosocial), only confidence in COVID‐19 vaccine safety was a statistically significant predictor of taking voluntary COVID‐19 vaccine shot among the key predictors. In this instance, Ghanaians who had confidence in a COVID‐19 vaccine safety were 7.856 times more likely to take a voluntary COVID‐19 vaccine shot. None of the biosocial factors was statistically significant in predicting taking voluntary COVID‐19 vaccine shot.

TABLE 5.

Multivariate complementary log‐log regression model predicting taking voluntary COVID‐19 vaccine shot

Variables Model 1: Key predictors + Biosocial factors Model 2: Key predictors + Biosocial factors + Socio cultural factors Model 3: Key predictors + Biosocial factors + Socio cultural factors + Location Factor
Voluntary shot OR Robust SE p‐Value Conf. interval OR Robust SE p‐Value Conf. interval OR Robust SE p‐Value Conf. interval
Vaccine is healthy (ref: No)
Yes 1.508 0.324 0.055 0.99 2.297 1.680 0.387 0.024 1.07 2.639 1.652 0.382 0.030 1.050 2.601
Vaccine is safe (ref: No)
Yes 7.856 1.589 <0.001 5.285 11.676 8.373 1.798 <0.001 5.496 12.756 8.340 1.794 <0.001 5.471 12.713
Gender (ref: Male)
Female 0.825 0.100 0.114 0.651 1.047 0.781 0.099 0.051 0.609 1.001 0.787 0.099 0.057 0.615 1.008
Age (ref: 18–24years)
25‐34 years 1.125 0.151 0.378 0.865 1.464 1.282 0.196 0.105 0.949 1.731 1.301 0.201 0.088 0.961 1.761
35‐50years 1.319 0.331 0.271 0.806 2.157 1.193 0.347 0.544 0.674 2.111 1.209 0.353 0.516 0.682 2.144
Above 50 years 1.62 0.427 0.067 0.966 2.715 0.697 0.288 0.383 0.310 1.567 0.703 0.293 0.398 0.311 1.591
Marital status (ref: Single)
Married 1.450 0.259 0.037 1.022 2.058 1.438 0.258 0.043 1.012 2.045
Education (ref: No formal)
SHS/VOC 0.481 0.184 0.056 0.227 1.019 0.457 0.175 0.041 0.216 0.967
Tertiary 0.294 0.105 0.001 0.146 0.592 0.265 0.095 <0.001 0.131 0.537
Employed (ref: No)
Yes 0.864 0.112 0.261 0.67 1.115 0.884 0.115 0.341 0.685 1.140
Religion (ref: Christianity)
Islam 0.99 0.171 0.954 0.706 1.389 0.845 0.158 0.366 0.586 1.218
Others 0.933 0.248 0.793 0.554 1.569 0.936 0.246 0.801 0.558 1.568
Concern about vaccine source (ref: No)
Yes 1.088 0.211 0.661 0.745 1.590 1.093 0.210 0.642 0.751 1.592
Zones (ref: Southern)
Middle 1.054 0.194 0.776 0.734 1.513
Northern 1.357 0.325 0.202 0.849 2.169

Bold values are significant at <0.05.

In model 2, where sociocultural factors were controlled for, confidence in vaccine safety was still statistically significant. A new relationship however emerged, indicating mediation by the sociocultural factors. Ghanaians who believed that vaccine is healthy were 1.680 times more likely to take a voluntary COVID‐19 vaccine shot as compared to those believe vaccines are not healthy. None of the biosocial factors were still statistically significant predictors. Among the sociocultural factors, those who were married were 1.450 times more probable to take a voluntary COVID‐19 vaccine shot as compared to their single counterparts. Counterintuitively, Ghanaians with tertiary education were 71% less likely to take a voluntary COVID‐19 vaccine shot as compared to those with no formal education.

When location was controlled for in model 3, belief that vaccine is healthy and having confidence in the safety of a COVID vaccine were robust and persisted in predicting taking voluntary COVID‐19 vaccine shot. Ghanaians who believed that vaccines are healthy and had confidence in a COVID‐19 vaccine safety were 1.652 and 8.340 times, respectively, more likely to take a voluntary COVID‐19 vaccine shot as compared to Ghanaians who did not believe vaccines are healthy and also did not trust the safety of a COVID‐19 vaccine. Of the biosocial and sociocultural factors only marital status and education were significant predictors. Ghanaians who were married were 1.438 times more likely to take a voluntary COVID‐19 vaccine shot as compared to their single counterparts. Counterintuitively, Ghanaians with tertiary education and senior high education were 54% and 74% less likely to take a voluntary COVID‐19 vaccine shot as compared to those with no formal education, respectively. The location factor was not a significant predictor.

DISCUSSION

A vaccine against COVID‐19 has been suggested as an effective strategy to end the pandemic. [21, 22] Despite this epidemiological knowledge, only few studies, especially in sub‐Saharan Africa have explicitly investigated perceptions on vaccines and which vaccination approach would yield positive uptake. This contribution investigated the effects of vaccine health and safety perceptions on COVID‐19 vaccine uptake in Ghana. Understanding people's perceptions and preferences for COVID‐19 vaccination could help guide public health policy measures on the vaccination rollout in the country.

Preliminary findings found evidence that 80% and 73% of participants believed that vaccines were healthy and safe, although 81% of the respondents were particularly concerned about the source of the vaccine. Other evidence revealed that 79% and 71% of respondents indicated their willingness for mandatory and voluntary COVID‐19 vaccine uptake or shot, respectively. These observed rates are comparable with other studies (i.e., ranging from 60% to 90%) (e.g., [23]–[26]). Current findings indicate that majority of the studied population are supportive of the COVID‐19 vaccine in the country regardless of the uptake approach (either mandatory or voluntary). This pattern observed is not surprising because the study was conducted around the period (i.e., January–March 2021) when the number of COVID‐19 cases in Ghana were on a steady rise; thus, vaccines were seen as a key strategy to halt the escalation of the COVID19 pandemic. Overall, the observed figures suggest a positive attitude towards COVID‐19 vaccination that could hinge on the highly reported pandemic impact across many societies and perceive benefits (e.g., reduce risk) the vaccines may bring.

Although majority of the studied sample will either take mandatory or voluntary COVID‐19 vaccine shot, small proportions (i.e., 21% and 29%) were unwilling to take a vaccine shot, perhaps due to safety concerns or vaccine uncertainty. Additionally, two‐thirds of the sample also had concern or uncertainty about the source of vaccines. This vaccine hesitancy and concern should be of public health interest because of the potential delays and/or outright refusal of vaccination across the population until the safety of vaccines is confirmed. Previous studies have often cited public concerns as a foremost barrier to vaccination decision making, especially for newly rolled out vaccines which have not been ecologically tested. [2732]

Across all the regression models, confidence or belief and safety of vaccines predicted mandatory and/or voluntary COVID‐19 vaccine uptake of the studied Ghanaian population. This finding supports previous studies on public belief or trust on the health and safety or efficacy in the COVID‐19 vaccine as relevant factors that could increase COVID‐19 vaccine uptake (e.g., [10], [33, 34, 35]). Current evidence suggests the significance of enhancing public trust and belief in COVID‐19 vaccines and improving healthcare services to facilitate considerable vaccine uptake. This goal can be achieved through the use of trusted well‐tailored messages on COVID‐19 and confidence‐building advocacy on identified vaccines through transparency and expectation management [36]. For example, Tam et al. [37] reiterated that worries about vaccines’ long‐term side effects, safety issues and public distrust can lead to vaccine hesitancy. Hence, considerable community level engagements or interactions on vaccine related concerns for appropriate feedback should be done to counteract misinformation and/or disinformation as well as other biases against impending vaccine rollout [34, 3840]. According to Schwartz [40] when public trust or confidence associated with COVID‐19 vaccination is weak, uptake programs are likely to suffer. Therefore, public messages on the vaccines’ safety and continuous monitoring as well as tackling of false information are crucial [38, 41, 42].

Increasing age, religion, and geographical zone increased the odds of COVID‐19 vaccine mandatory uptake. This finding mirrors similar trends that older people show more support for mandatory uptake compared to younger cohorts based on an established premise that case‐fatality rates increase with age [10, 43]. Alternatively, high perceived vulnerability and/or susceptibility to disease infection often associated with increasing age could also account for the present finding. [44]

Consistent with previous studies (e.g., [45, 46]), self‐reported religious affiliation was identified as significant factor in the determination of mandatory COVID‐19 vaccination uptake in the current study. Specifically, Muslims were 1.6 times more likely to take a mandatory COVID‐19 vaccine compared to Christians. The observed variation is not surprising because Christian religious concerns about immunization or vaccination date back to antiquity where some individuals prohibited Edward Jenner's 1796 mode of smallpox vaccination as contrary to God's will. [47] Some Christian denominations (e.g., Jehovah Witness) have a strong tradition of declining some health services like blood transfusion, including immunization on the concerns about their adverse effects similar to the happenings after smallpox vaccination during the 18th century. The basis for this objection by members of these denominations includes declining immunization instead of making members less dependent on God. [4851] The noted differences in the COVID‐19 vaccine uptake between Muslim and Christian groups in the current study might not hinge on their religious beliefs, instead the variations may be reflections on safety and other health concerns. [52]

Study participants from the middle zone (e.g., Ashanti, Brong‐Ahafo, Western North Regions) of Ghana were 2.3 times more likely to take mandatory COVID‐19 vaccine than their counterparts from the southern zone (e.g., Greater Accra, Eastern and Volta Regions). Geo‐spatial metrics (e.g., population density) could possibly explain the current observation [53, 54]. Previous research has shown that vaccination rates may suffer among varied population groups, especially in areas of deprivation. [5557] For example, individuals from less densely populated areas in the middle zone of the country might spend less time or waiting period for a vaccine uptake. Users are likely to perceive that uptake process as less stressful than respondents from highly densely populated areas such as Greater Accra, where access to healthcare services is often compounded by unfriendly and stressful population dynamics (e.g., long queues, huge traffic congestion, and long waiting hours). Additionally, respondents from geographical areas with readily available healthcare services and easily accessible facilities with considerable health logistical support (e.g., vaccination sites) are more likely to accept mandatory vaccine uptake compared to participants from other geographical boundaries with less endowed health infrastructure and logistics. Therefore, health inequities or disparities may restrict or negatively impact mandatory COVID‐19 vaccine uptake [58, 59]. It is important that major stakeholders address these population dynamics and resources that might be instrumental in facilitating comprehensive vaccine uptake in the country.

Other findings show that Ghanaians who are married were 1.438 times more likely to take a voluntary COVID‐19 vaccine shot compared to their single counterparts. Being married comes with more household interactions and connectedness. Hence, we speculate that those married might have additional responsibility of protecting the entire family due to high‐risk perception and would show more willingness or positive intention towards taking COVID‐19 vaccine, though voluntarily. Previous research has cited social interaction and connectedness as important risk factors of COVID‐19 infection [60, 61]. Raising continuous awareness about the risk of COVID‐19 infection, especially among the unmarried population is essential towards reducing case fatality [35].

Counterintuitively, participants with tertiary education were 71% less likely to take a voluntary COVID‐19 vaccine shot compared to their counterparts with no formal education. This finding demonstrates the complexity of infectious disease dynamics: an observation that overrides conventional standards in epidemiological assessment. Individuals’ risk perception may determine one's intention to get vaccinated against COVID‐19, with those perceiving a higher risk towards COVID‐19 more likely to show the intention to voluntarily vaccinate against the virus. It is likely that sampled tertiary educated individuals might have less risk perception against the new virus; hence, their intention to voluntarily vaccinate is low. For individuals with no educational background, the new virus may create enormous psychological distress triggered by worrying concerns and fears that could heighten their voluntary intention to take a vaccine shot [62, 63, 64, 65]. The current finding also mirrors the risk as feelings model that confirms the role risk perception plays on judgement and decision making in health care for diseases of severe magnitude and uncertain outcome, demonstrating how one's perceived risk might influence the decision to vaccinate (see [66, 67, 68]). Therefore, the general public ought to realize the severity of COVID‐19, hence underestimating their risks of contracting the virus may prevent them from being vaccinated. [69] Current finding implies that considerable efforts ought to be targeted at those in the population with the highest severity [70]. Regular educational campaigns to promote COVID‐19 vaccines should target personal risks to the disease through persuasive communication in the general population.

Strengths and limitations

This is the first study to provide estimates on individual preferences relative to their predictors associated with COVID‐19 vaccine uptake across a cross‐section of the population in Ghana. Current findings advance theoretical knowledge by providing a better understanding in the context of COVID‐19 health policies. Empirical evidence provided can aid stakeholders on which COVID‐19 vaccination policy to implement. Despite these strengths, the present study has some limitations.

Preferences and/or intentions are hypothetical scenarios that vary from real life behaviours; consequently, it is likely that individual reactions to real life COVID‐19 events might be stronger such that our current findings could be seen as conservative approximations [71, 72]. Additionally, it is also possible that the responses during the data collection were relative to time, with the possibility of change over patterns in intentions and subsequent action tendencies once the vaccines were made available [73]. For example, COVID‐19 vaccine rollout had not begun at the time of the data collection (i.e., actual vaccine uptake was not measured); hence, respondents’ real sense of judgement on vaccine uptake might not be conditioned by the resolutions taken later on the vaccines. Finally, due to the self‐reported nature of the study design, we cannot discount reporting biases. Since data were collected through an online survey via social media platforms, there is a possibility of biasness against those who had no access to social media, internet, and those who could neither read nor write. These people are mostly married, uneducated, older and live in the country‐side and parts of Northern sector of the country.

Practical implications

Current evidence suggests that public belief or trust, uncertainties, health, and safety issues as well as socio‐cultural considerations surrounding COVID‐19 vaccines should guide future rollout programs. Despite present results indicating respondents’ positive attitude towards vaccine rollout spectrum (i.e., more restrictive: compulsory mandates and less restrictive options: opt‐in voluntarily), the current health emergency and the fluctuations in the epidemiological data (e.g., fatality and mortality metrics) leaves no room for low vaccine uptake. Based on observed findings, policies on vaccines in the country could provide a balance between the two different strategies for the administration of COVID‐19 vaccines. Therefore, designed interventions and support mechanisms are required for vaccine uptake in Ghana. Vaccination campaigns in the country should be based on scientific evidence on the vaccine efficacy, safety, and side effects made available to the public. Regular education, appropriate information and communication should target health and safety concerns associated with COVID‐19 vaccines. It is important that public trust and confidence are built through transparent and truthful communications on the vaccines. Developing vaccination initiatives through health technological interventions (e.g., providing regular telephone reminders, motivational text message reminders) and smart phone applications may consolidate and further boost positive vaccination behaviour and improve vaccination rates in the country.

CONCLUSION

This present study provides evidence‐based variations in individual preferences and/intentions toward COVID‐19 vaccine uptake based on multifaceted determinants: biosocial (e.g., age, marital status, education), socio‐cultural (e.g., religion), location (e.g., geographical zone), and other important predictors (e.g., confidence in vaccine, vaccine health and safety, source of vaccine as a concern). Overall, attitude towards COVID‐19 vaccine uptake (i.e., mandatory, voluntary) was positive, though the odds of being vaccinated are influenced by the factors cited above. To consolidate and possibly increase vaccine uptake in response to the COVID‐19 pandemic in Ghana, health education and promotion programmes should aim at creating awareness on the benefits of vaccine uptake while addressing the health and safety concerns on the potential side effects through evidence‐based community messaging from credible sources. It is important to show specific commitment to transparency and reliable information to build public trust by decision‐makers. Future studies could integrate health behaviour theories in the prediction of COVID‐19 vaccine uptake and also observe how public intentions to vaccinate change over time over in Ghana.

AUTHOR CONTRIBUTIONS

Simon Appah Aram, Patrick Osei Lartey, Augustine Appiah, Justice Gyimah and Divine Worlanyor Hotor designed the questionnaire, conducted the study, conducted statistical analyses. Simon Appah Aram, George Kweku Afriyie Mansoh, Benjamin M. Saalidong, Abdul‐Aziz Seidu and John Elvis Hagan wrote the first draft. Simon Appah Aram, John Elvis Hagan, Bright Opoku Ahinkorah, Abdul‐Aziz Seidu and Edward Kwabena Ameyaw contributed to the interpretation of data, revised the article and approved the final version. All authors have read and agreed to the published version of the manuscript.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

ETHICAL STATEMENT

Ethical review and approval was sought from the Taiyuan University of Technology Ethical Review Board (62/12/20). The online form required participants to read the background information of the study and then indicate whether they were willing to participate before they were able to proceed to respond to the questions. Also, participants received instant feedback on their responses. Participation was restricted to resident Ghanaian adults aged 18 years and above. Participants were not coerced or financially induced to take part in the study.

ACKNOWLEDGEMENT

We thank our respondents for agreeing to participate in the study. The study did not receive any funding.

Aram SA, Hagan JE, et al. Association between health and safety perceptions of COVID‐19 vaccine and its uptake in Ghana. Public Health Chall. 2022;1:e20. 10.1002/puh2.20

DATA AVAILABILITY STATEMENT

The datasets of the current study are available from the corresponding author on reasonable request.

REFERENCES

  • 1. Asmundson GJ, Taylor S. Coronaphobia: fear and the 2019‐nCoV outbreak. J Anxiety Disord. 2020;70:102196. doi: 10.1016/j.janxdis.2020.102196 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Harrison EA, Wu JW. Vaccine confidence in the time of COVID‐19. Eur J Epidemiol. 2020;35(4):325‐330. doi: 10.1007/s10654-020-00634-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Bonful HA, Addo‐Lartey A, Aheto JM, Ganle JK, Sarfo B, Aryeetey R. Limiting spread of COVID‐19 in Ghana: compliance audit of selected transportation stations in the Greater Accra region of Ghana. PLoS One. 2020;15(9). doi: 10.1371/journal.pone.0238971 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Enitan SS, Ibeh IN, Oluremi AS, Olayanju AO, Itodo GE. The 2019 novel coronavirus outbreak: current crises, controversies and global strategies to prevent a pandemic. Int J Pathog Res. 2020;4(1):1‐6. doi: 10.9734/ijpr/2020/v4i130099 [DOI] [Google Scholar]
  • 5. Neumann‐Böhme S, Varghese NE, Sabat I, et al. Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID‐19. Eur J Health Econ. 2020;21:977‐982. doi: 10.1007/s10198-020-01208-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Blasi F, Aliberti S, Mantero M, Centanni S. Compliance with anti‐H1N1 vaccine among healthcare workers and general population. Clin Microbiol Infect. 2012;18:37‐41. 10.1111/j.1469-0691.2012.03941.x [DOI] [PubMed] [Google Scholar]
  • 7. Kwok KO, Li KK, Wei WI, Tang KH, Wong SY, Lee SS. Are we ready when COVID‐19 vaccine is available? Study on nurses′ vaccine hesitancy in Hong Kong. medRxiv. 2020. doi: 10.1101/2020.07.17.20156026. medRxiv. [DOI] [Google Scholar]
  • 8. Kwok KO, Li KK, Wei WI, Tang A, Wong SY, Lee SS. Influenza vaccine uptake, COVID‐19 vaccination intention and vaccine hesitancy among nurses: a survey. Int J Nurs Stud. 2021;114:103854. doi: 10.1016/j.ijnurstu.2020.103854 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. MacDonald NE. Vaccine hesitancy: definition, scope and determinants. Vaccine. 2015;33(34):4161‐4164. doi: 10.1016/j.vaccine.2015.04.036 [DOI] [PubMed] [Google Scholar]
  • 10. Lazarus JV, Ratzan SC, Palayew A, et al. A global survey of potential acceptance of a COVID‐19 vaccine. Nat Med. 2021;27(2):225‐228. doi: 10.1038/s41591-020-1124-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Peretti‐Watel P, Seror V, Cortaredona S, et al. A future vaccination campaign against COVID‐19 at risk of vaccine hesitancy and politicisation. Lancet Infect Dis. 2020;20(7):769‐770. doi: 10.1016/S1473-3099(20)30426-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. Meta‐analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol. 2007;26(2):136. doi: 10.1037/0278-6133.26.2.136 [DOI] [PubMed] [Google Scholar]
  • 13. Larson HJ, Jarrett C, Eckersberger E, Smith DM, Paterson P. Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007–2012. Vaccine. 2014;32(19):2150‐2159. doi: 10.1016/j.vaccine.2014.01.081 [DOI] [PubMed] [Google Scholar]
  • 14. Institute of Medicine. Informed vaccine decision making. Priorities for the national vaccine plan. The National Academies Press; 2010:79‐96. [Google Scholar]
  • 15. Malesza M, Wittmann E. Acceptance and intake of COVID‐19 vaccines among older Germans. J Clin Med. 2021;10(7). doi: 10.3390/jcm10071388 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Organization for Economic Co‐operation and Development (OECD) . Enhancing public trust in COVID‐19 vaccination: The role of governments. OECD Policy Responses to Coronavirus (COVID‐19). 2021; Available at: 10.1787/eae0ec5a-en [DOI]
  • 17. Rémy V, Largeron N, Quilici S, Carroll S. The economic value of vaccination: why prevention is wealth. J Mark Access Health Policy. 2015;3(1):29284. doi: 10.3402/jmahp.v3.29284 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Fine P, Eames K, Heymann DL, “Herd immunity”: a rough guide. Clin Infect Dis. 2011;52(7):911‐916. [DOI] [PubMed] [Google Scholar]
  • 19. Omer SB, Salmon DA, Orenstein WA, Dehart MP, Halsey N. Vaccine refusal, mandatory immunization, and the risks of vaccine‐preventable diseases. N Engl J Med. 2009;360(19):1981‐1988. doi:10.1056/NEJMsa0806477 [DOI] [PubMed] [Google Scholar]
  • 20. World Health Organization . 2020. Behavioural considerations for acceptance and uptake of COVID‐19 vaccines: WHO technical advisory group on behavioural insights and sciences for health, meeting report, 15 October 2020. Available at: https://apps.who.int/iris/bitstream/handle/10665/337335/9789240016927‐eng.pdf
  • 21. Mello MM, Silverman RD, Omer SB. Ensuring uptake of vaccines against SARS‐CoV‐2. N Engl J Med. 2020;383(14):1296‐1299. doi:10.1056/NEJMp2020926 [DOI] [PubMed] [Google Scholar]
  • 22. Reiss DR, Caplan AL. Considerations in mandating a new Covid‐19 vaccine in the USA for children and adults. J Law Biosci. 2020;7(1). doi: 10.1093/jlb/lsaa025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Hadisoemarto PF, Castro MC. Public acceptance and willingness‐to‐pay for a future dengue vaccine: a community‐based survey in Bandung, Indonesia. PLoS Negl Trop Dis. 2013;7(9):e2427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Harapan H, Mudatsir M, Yufika A, et al. Community acceptance and willingness‐to‐pay for a hypothetical Zika vaccine: a cross‐sectional study in Indonesia. Vaccine. 2019;37(11):1398‐1406. doi: 10.1016/j.vaccine.2019.01.062 [DOI] [PubMed] [Google Scholar]
  • 25. Harapan H, Wagner AL, Yufika A, et al. Acceptance of a COVID‐19 vaccine in southeast Asia: a cross‐sectional study in Indonesia. Front Public Health. 2020;8:381. doi:10.3389/fpubh.2020.00381 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Lee R, Wong TY, Sabanayagam C. Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss. Eye Vision. 2015;2(1):1‐25. doi: 10.1186/s40662-015-0026-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Dubé E, MacDonald NE. Vaccine acceptance: barriers, perceived risks, benefits, and irrational beliefs. In The vaccine book. Academic Press; 2016:507‐528. [Google Scholar]
  • 28. Maurer J, Uscher‐Pines L, Harris KM. Perceived seriousness of seasonal and A (H1N1) influenzas, attitudes toward vaccination, and vaccine uptake among US adults: does the source of information matter? Prev Med. 2010;51(2):185‐187. doi: 10.1016/j.ypmed.2010.05.008 [DOI] [PubMed] [Google Scholar]
  • 29. Nguyen T, Henningsen KH, Brehaut JC, Hoe E, Wilson K. Acceptance of a pandemic influenza vaccine: a systematic review of surveys of the general public. Infect Drug Resist. 2011;4:197. doi: 10.2147/IDR.S23174 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Schwarzinger M, Flicoteaux R, Cortarenoda S, Obadia Y, Moatti JP. Low acceptability of A/H1N1 pandemic vaccination in French adult population: did public health policy fuel public dissonance? PLoS One. 2010;5(4):e10199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Sypsa V, Livanios T, Psichogiou M, et al. Public perceptions in relation to intention to receive pandemic influenza vaccination in a random population sample: evidence from a cross‐sectional telephone survey. Eurosurveillance. 2009;14(49):19437. doi: 10.2807/ese.14.49.19437-en [DOI] [PubMed] [Google Scholar]
  • 32. Yaqub O, Castle‐Clarke S, Sevdalis N, Chataway J. Attitudes to vaccination: a critical review. Soc Sci Med. 2014;112:1‐1. doi: 10.1016/j.socscimed.2014.04.018 [DOI] [PubMed] [Google Scholar]
  • 33. Al‐Mohaithef M, Padhi BK. Determinants of COVID‐19 vaccine acceptance in Saudi Arabia: a web‐based national survey. J Multidiscip Healthc. 2020;13:1657. doi: 10.2147/jmdh.s276771 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Leng A, Maitland E, Wang S, Nicholas S, Liu R, Wang J. Individual preferences for COVID‐19 vaccination in China. Vaccine. 2021;39(2):247‐254. doi: 10.1016/j.vaccine.2020.12.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Tran VD, Pak TV, Gribkova EI, et al. Determinants of COVID‐19 vaccine acceptance in a high infection‐rate country: a cross‐sectional study in Russia. Pharm Pract. 2021;19(1). 10.18549/pharmpract.2021.1.2276 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Saied SM, Saied EM, Kabbash IA, Abdo SA. Vaccine hesitancy: beliefs and barriers associated with COVID‐19 vaccination among Egyptian medical students. J Med Virol. 2021;93(7):4280‐4291. doi: 10.1002/jmv.26910 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Tam CC, Qiao S, Li X. Factors associated with decision making on COVID‐19 vaccine acceptance among college students in South Carolina. medRxiv. 2020. doi: 10.1101/2020.12.03.20243543 medRxiv [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Hagan JJ, Ahinkorah BO, Seidu AA, Ameyaw EK, Schack T. Africa's preparedness towards COVID‐19 vaccines: demand and acceptability challenges. Curr Res Behav Sci. 2021:2:100048. doi: 10.1016/j.crbeha.2021.100048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Lucia VC, Kelekar A, Afonso NM. COVID‐19 vaccine hesitancy among medical students. J Public Health. 2020;43(3):445‐449. doi: 10.1093/pubmed/fdaa230 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Schwartz JL. Evaluating and deploying covid‐19 vaccines—the importance of transparency, scientific integrity, and public trust. N Engl J Med. 2020;383(18):1703‐1705. [DOI] [PubMed] [Google Scholar]
  • 41. Ahinkorah BO, Ameyaw EK, Hagan Jr JE, Seidu AA, Schack T. Rising above misinformation or fake news in Africa: another strategy to control COVID‐19 spread. Front Commun. 2020;5:45. doi: 10.3389/fcomm.2020.00045 [DOI] [Google Scholar]
  • 42. Wang J, Jing R, Lai X, et al. Acceptance of COVID‐19 Vaccination during the COVID‐19 Pandemic in China. Vaccines. 2020;8(3):482. doi: 10.3390/vaccines8030482 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Onder G, Rezza G, Brusaferro S. Case‐fatality rate and characteristics of patients dying in relation to COVID‐19 in Italy. JAMA. 2020;323(18):1775‐1776. doi: 10.1001/jama.2020.4683 [DOI] [PubMed] [Google Scholar]
  • 44. Detoc M, Bruel S, Frappe P, Tardy B, Botelho‐Nevers E, Gagneux‐Brunon A. Intention to participate in a COVID‐19 vaccine clinical trial and to get vaccinated against COVID‐19 in France during the pandemic. Vaccine. 2020;38(45):7002‐7006. doi:10.1016/j.vaccine.2020.09.041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Lane S, MacDonald NE, Marti M, Dumolard L. Vaccine hesitancy around the globe: analysis of three years of WHO/UNICEF Joint Reporting Form data‐2015–2017. Vaccine. 2018;36(26):3861‐3867. doi:10.1016/j.vaccine.2018.03.063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Nafilyan V, Dolby T, Razieh C, et al. Sociodemographic inequality in COVID‐19 vaccination coverage amongst elderly adults in England: a national linked data study. medRxiv. 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Williams G. Angel of death: the story of smallpox. Springer; 2010. [Google Scholar]
  • 48. Ruijs WL, Hautvast JL, van der Velden K, de Vos S, Knippenberg H, Hulscher ME. Religious subgroups influencing vaccination coverage in the Dutch Bible belt: an ecological study. BMC Public Health. 2011;11(1):1‐9. doi: 10.1186/1471-2458-11-102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Ruijs WL, Hautvast JL, van IJzendoorn G, van Ansem WJ, van der Velden K, Hulscher ME. How orthodox protestant parents decide on the vaccination of their children: a qualitative study. BMC Public Health. 2012;12(1):1‐1. doi: 10.1186/1471-2458-12-408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Veenman J, Jansma LG. The 1978 Dutch polio epidemic: a sociological study of the motives for accepting or Refusins vaccination. Netherlands (The) Journal of Sociology anc Sociologia Neerlandica Amsterdam. 1980;16(1):21‐48. [Google Scholar]
  • 51. Woonink W. Objections against vaccination: the perspective of those who refuse. National Institute for Public Health and the Environment; 2009. http://www.rivm.nl/en/Images/000652%20Bezw%20tegen%20vacc%20ENtcm1367802.pdf. Available from:. [Google Scholar]
  • 52. Grabenstein JD. What the world's religions teach, applied to vaccines and immune globulins. Vaccine. 2013;31(16):2011‐2023. doi: 10.1016/j.vaccine.2013.02.026 [DOI] [PubMed] [Google Scholar]
  • 53. Amadu I, Ahinkorah BO, Afitiri AR, et al. Assessing sub‐regional‐specific strengths of healthcare systems associated with COVID‐19 prevalence, deaths and recoveries in Africa. PLoS One. 2021;16(3):e0247274. doi: 10.1371/journal.pone.0247274 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Stojkoski V, Utkovski Z, Jolakoski P, Tevdovski D, Kocarev L, The socio‐economic determinants of the coronavirus disease (COVID‐19) pandemic. arXiv preprint arXiv:2004.07947. 2020.
  • 55. Hungerford D, Macpherson P, Farmer S, et al. Effect of socioeconomic deprivation on uptake of measles, mumps and rubella vaccination in Liverpool, UK over 16 years: a longitudinal ecological study. Epidemiol Infect. 2016;144(6):1201‐1211. doi:10.1017/S0950268815002599 [DOI] [PubMed] [Google Scholar]
  • 56. Pebody RG, Hippisley‐Cox J, Harcourt S, Pringle M, Painter M, Smith G. Uptake of pneumococcal polysaccharide vaccine in at‐risk populations in England and Wales 1999–2005. Epidemiol Infect. 2008;136(3):360‐369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Spencer AM, Roberts SA, Brabin L, Patnick J, Verma A. Sociodemographic factors predicting mother's cervical screening and daughter's HPV vaccination uptake. J Epidemiol Community Health. 2014;68(6):571‐577. [DOI] [PubMed] [Google Scholar]
  • 58. Dubé E, Leask J, Wolff B, et al. The WHO tailoring immunization programmes (TIP) approach: review of implementation to date. Vaccine. 2018;36(11):1509‐1515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Shekhar R, Sheikh AB, Upadhyay S, et al. COVID‐19 vaccine acceptance among health care workers in the United States. Vaccines. 2021;9(2):119. 10.3390/vaccines9020119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Laursen J, Petersen J, Didriksen M, Iversen K, Ullum H. Prevalence of SARS‐CoV‐2 IgG/IgM antibodies among Danish and Swedish Falck emergency and non‐emergency healthcare workers. Int J Environ Res Public Health. 2021;18(3):923. doi: 10.3390/ijerph18030923 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Paek HJ, Hove T. Risk perceptions and risk characteristics. InOxford research encyclopedia of communication 2017.
  • 62. Brooks SK, Webster RK, Smith LE, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. 2020;395(10227):912‐920. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Caserotti M, Girardi P, Rubaltelli E, Tasso A, Lotto L, Gavaruzzi T. Associations of COVID‐19 risk perception with vaccine hesitancy over time for Italian residents. Soc Sci Med. 2021;272:113688. doi:10.1016/j.socscimed.2021.113688 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Li Q, Guan X, Wu P, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia. N Engl J Med. 2020;382(13). doi:10.1056/NEJMoa2001316 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Moccia L, Janiri D, Pepe M, et al. Affective temperament, attachment style, and the psychological impact of the COVID‐19 outbreak: an early report on the Italian general population. Brain Behav Immun. 2020;87:75‐79. doi:10.1016/j.bbi.2020.04.048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Slovic P, Finucane M, Peters E, MacGregor DG. Rational actors or rational fools: implications of the affect heuristic for behavioral economics. J Soc Econ. 2002;31(4):329‐342. [Google Scholar]
  • 67. Slovic P, Finucane ML, Peters E, MacGregor DG. Risk as analysis and risk as feelings: some thoughts about affect, reason, risk and rationality. 2013:49‐64. [DOI] [PubMed]
  • 68. Slovic P, Peters E. Risk perception and affect. Curr Dir Psychol Sci. 2006;15(6):322‐325. doi:10.1111/j.1467‐8721.2006.00461.x [Google Scholar]
  • 69. Chu H, Liu S. Integrating health behavior theories to predict American's intention to receive a COVID‐19 vaccine. Patient Educ Couns. 2021;104(8), 1878‐1886doi:10.1016/j.pec.2021.02.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Paltiel AD, Schwartz JL, Zheng A, Walensky RP. Clinical outcomes of a COVID‐19 vaccine: implementation over efficacy: study examines how definitions and thresholds of vaccine efficacy, coupled with different levels of implementation effectiveness and background epidemic severity, translate into outcomes. Health Aff. 2021;40(1):42‐52. doi: 10.1377/hlthaff.2020.02054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Sheeran P. Intention—behavior relations: a conceptual and empirical review. Eur Rev Soc Psychol. 2002;12(1):1‐36. doi: 10.1080/14792772143000003 [DOI] [Google Scholar]
  • 72. Sprengholz P, Felgendreff L, Böhm R, Betsch C. Vaccination policy reactance: predictors, consequences, and countermeasures. J Health Psychol. 2022;27(6):1394‐1407. doi: 10.31234/osf.io/98e4t [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Craxì L, Casuccio A, Amodio E, Restivo V. Who should get COVID‐19 vaccine first? A survey to evaluate hospital workers’ opinion. Vaccines. 2021;9(3):189. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets of the current study are available from the corresponding author on reasonable request.


Articles from Public Health Challenges are provided here courtesy of Wiley

RESOURCES