Literature DB >> 34178323

COVID-19 vaccine acceptance among high-risk populations in Uganda.

Felix Bongomin1, Ronald Olum2, Irene Andia-Biraro2, Frederick Nelson Nakwagala3, Khalid Hudow Hassan2, Dianah Rhoda Nassozi4, Mark Kaddumukasa2, Pauline Byakika-Kibwika2, Sarah Kiguli5, Bruce J Kirenga2.   

Abstract

BACKGROUND: Immunization is an important strategy for controlling the COVID-19 pandemic. COVID-19 vaccination was recently launched in Uganda, with prioritization to healthcare workers and high-risk individuals. In this study, we aimed to determine the acceptability of COVID-19 vaccine among persons at high risk of COVID-19 morbidity and mortality in Uganda.
METHODS: Between 29 March and 14 April 2021, we conducted a cross-sectional survey consecutively recruiting persons at high risk of severe COVID-19 (diabetes mellitus, HIV and cardiovascular disease) attending Kiruddu National Referral Hospital outpatient clinics. A trained research nurse administered a semi-structured questionnaire assessing demographics, COVID-19 vaccine related attitudes and acceptability. Descriptive statistics, bivariate and multivariable analyses were performed using STATA 16.
RESULTS: A total of 317 participants with a mean age 51.5 ± 14.1 years were recruited. Of this, 184 (60.5%) were female. Overall, 216 (70.1%) participants were willing to accept the COVID-19 vaccine. The odds of willingness to accept COVID-19 vaccination were four times greater if a participant was male compared with if a participant was female [adjusted odds ratio (AOR): 4.1, 95% confidence interval (CI): 1.8-9.4, p = 0.00]. Participants who agreed (AOR: 0.04, 95% CI: 0.01-0.38, p = 0.003) or strongly agreed (AOR: 0.04, 95% CI: 0.01-0.59, p = 0.005) that they have some immunity against COVID-19 were also significantly less likely to accept the vaccine. Participants who had a history of vaccination hesitancy for their children were also significantly less likely to accept the COVID-19 vaccine (AOR: 0.1, 95% CI: 0.01-0.58, p = 0.016).
CONCLUSION: The willingness to receive a COVID-19 vaccine in this group of high-risk individuals was comparable to the global COVID-19 vaccine acceptance rate. Increased sensitization, myth busting and utilization of opinion leaders to encourage vaccine acceptability is recommended.
© The Author(s), 2021.

Entities:  

Keywords:  COVID-19; Uganda; high-risk population; vaccines

Year:  2021        PMID: 34178323      PMCID: PMC8193654          DOI: 10.1177/20499361211024376

Source DB:  PubMed          Journal:  Ther Adv Infect Dis        ISSN: 2049-9361


Introduction

The coronavirus disease-2019 (COVID-19) pandemic is a major global health crisis of the 21st century. Approximately 2.3% of the world’s population has now been infected by the severe acute respiratory coronavirus-2 (SARS CoV-2), the novel coronavirus and etiologic agent of COVID-19, and more than 3.3 million people have died. In addition, thousands of individuals who have recovered from COVID-19 illness have been left with long-term complications – dubbed “long COVID-19” – and other chronic COVID-19 syndromes. COVID-19-related morbidity and mortality in high-risk individuals, such as those with diabetes mellitus and cardiovascular diseases, is substantial and current treatment options are limited.[4-6] Fortunately, with the global rollout of the COVID-19 vaccines, there is emerging evidence that the COVID-19 vaccines can reduce the severity of infection and prevent deaths. Real world data emanating from a nationwide mass vaccination program in Israel, in an uncontrolled setting, have recently shown that the BNT162b2 mRNA vaccine was effective for preventing symptomatic COVID-19, COVID-19-related hospitalization, severe illness and death. Globally, over 1.3 billion doses of the COVID-19 vaccines have been administered with about 4.1% of the population being fully vaccinated as of 10 May 2021. However, a recent survey has shown that the potential acceptance of these vaccines varies from country to country, with over 80% acceptance in China, Singapore and South Korea to less than 55% in Russia. Some of the main reasons for reporting non-intent to receive vaccine were concerns about vaccine side effects and safety and lack of trust in the vaccine development process.[11,12] In Uganda, COVID-19 vaccination with the AstraZeneca vaccine was launched on 10 March 2021, with priority being given to healthcare workers and individuals at risk of severe COVID-19 and death. However, little is known about acceptance of receiving the vaccine among Ugandans, especially in the priority groups. Reports from the government of Uganda also indicate there is a slow uptake of the COVID-19 vaccine in the country, with only about 400,000 people vaccinated by 10 May 2021. Therefore, in this study, we assessed the acceptability of COVID-19 vaccines and associated factors among persons at high risk of severe COVID-19 attending a large tertiary health facility in Uganda.

Methods

Study design

A descriptive, cross-sectional study employing quantitative techniques was conducted between 29 March and 14 April 2021.

Study setting

The study was carried out at Kiruddu National Referral Hospital (KNRH). KNRH is a public tertiary referral hospital that offers a wide array of inpatient and outpatient healthcare services mainly in internal medicine, radiology, plastic and reconstructive surgery and radiology. There are established outpatient clinics that run from Monday to Friday every week. The cardiovascular disease clinics run on Monday and Tuesday, diabetes clinic on Wednesday and HIV clinic on Friday. The clinic has an average attendance of 100–150 adults. KNRH is one of the sites offering COVID-19 vaccines to healthcare workers and high-risk individuals. At the time of data collection, vaccination was on going at the study site.

Study population

Patients attending outpatient clinics at KNRH constituted the study population. Eligible participants were those aged 18 years or older, living with diabetes, HIV, or any cardiovascular diseases who provided an informed written consent to participate in the study. Patients aged 50 years or older with or without any co-morbidity were included in the study. Patients who presented with severe, acute complications of diabetes mellitus, hypertensive crisis and HIV complications requiring inpatient care were excluded from the study.

Sampling size

The sample size was calculated using Epi Info 7 StatCalc (Centers for Disease Control and Prevention, Atlanta, Georgia, United States) for population surveys. About 250 outpatients are seen on a daily basis at KNRH; however, numbers may be lower due to the COVID-19 pandemic. Data were collected over a period of 2 weeks (10 working days), giving an attendance of 2500 patients. Using an expected attendance of 2500, expected acceptability of 50% since no studies in similar settings exist, design effect of 1.0 and margin of error of 5%, the calculated required sample size was 333 patients.

Study procedure

Eligible participants were enrolled by consecutive sampling until the required sample size was reached. Two trained research nurses and two medical doctors recruited the patients in the study, obtained written informed consent and administered the questionnaires. Independent variables were: demographic details, which included sex, age, profession, highest level of education, religion, residence, marital status and estimated monthly income. Dependent variables were: primary outcome variable – acceptability of COVID-19 vaccine, which was assessed using a closed ended question with a Yes/No response. Secondary outcome variable was vaccine hesitancy – evaluated as trust and attitudes towards the COVID-19 vaccine based on two closed ended questions with a Yes/No response. We validated this questionnaire in a population of medical students in Uganda. The COVID-19 standard operating procedures set by the Ministry of Health, Uganda, were strictly adhered to throughout the study. Study staffs were equipped with personal protective equipment such as a facemask and a hand sanitizer.

Data management and analyses

Fully completed questionnaires were entered into EpiCollect 5® and exported as a spreadsheet. The data were then exported to STATA version 16.0 (StataCorp LLC., College Station, Texas, USA) for formal analysis. Categorical variables were first described as frequencies and percentages, numerical variables as mean or median as appropriate. To evaluate the association of independent variables, that is, demographics with the acceptability of COVID-19 vaccine, a bivariate analysis (chi-square or Fisher’s exact test) was performed. All factors with a p < 0.2 were included in a multivariable logistic regression model to adjust for confounders. Associations with p < 0.05 were considered statistically significant. Results are presented in tables, charts and graphs, as appropriate.

Ethical considerations

The study protocol was approved by the Mulago Hospital Research Ethics Committee (MHREC), approval number MHREC2014. Administrative clearance was sought from the KNRH Institutional Review Board. The study was conducted in accordance to the ethical codes outlined in the Declaration of Helsinki and all participants provided written informed consent.

Results

Characteristics of participants

A total of 317 patients (response rate = 95%) at high risk of severe COVID-19 participated in this study. The mean age of the participants was 51.5 years (standard deviation = 14.1) and about two-thirds (n = 184, 60.5%) of the patients were female. Some 36.4% of the patients were unemployed and 67.4% were living in urban settlements. Table 1 summarizes the characteristics of the participants. Cardiovascular diseases (n = 188, 61.4%) were the most common comorbidities (Figure 1), followed by diabetes mellitus (n = 102, 33.3%) and HIV (n = 46, 15.0%).
Table 1.

Socio-demographic characteristics of the participants.

Demographics (N = 308)Frequency%
Age (mean years and standard deviation)51.514.1
 <50 years12640.9
 50+ years18259.1
Sex (n = 304)
 Male12039.5
 Female18460.5
Marital status (N = 305)
 Never married185.9
 Married17256.4
 Divorced/widowed/separated11537.7
Religion
 Anglican10433.8
 Roman Catholic9932.1
 Muslim5317.2
 Pentecostal4213.6
 SDA10.3
 Atheist92.9
Highest level of education
 None237.5
 Primary12741.2
 Secondary10132.8
 Tertiary5718.5
Occupation
 Unemployed11236.4
 Employee6420.8
 Self employed13242.9
Residence (N= 291)
 Rural9532.6
 Urban19667.4
Estimated monthly income (UGX; N = 179)300,000100,000–600,000

SDA, Seventh Day Adventist.

Figure 1.

Comorbidities among the participants.

Socio-demographic characteristics of the participants. SDA, Seventh Day Adventist. Comorbidities among the participants.

COVID-19 risk perceptions and tests

More than half of the patients felt very likely to or extremely at risk of getting COVID-19 in the future (Table 2). In addition, up to 40.8% (n = 124) and 59.2% (n = 181) of the patients felt very worried about COVID-19 and at a major risk, respectively. Of note, only a few patients (n = 8, 2.6%), any of their friends (n = 17, 5.6%) or a member of their family (n = 15, 5.0%) had tested positive for COVID-19. Up to 62.5% of the patients disagreed that they had some immunity against COVID-19.
Table 2.

COVID-19 risk perceptions among patients at high risk of COVID-19 disease.

Perception N Frequency%
How likely do you think you will get COVID-19 in future?301
 Extremely likely279.0
 Very likely16053.2
 Moderate268.6
 Slightly4715.6
 Not at all4113.6
Overall, how worried are you about coronavirus?
 Extremely worried30412440.8
 Very worried10735.2
 Not very worried237.6
 Somewhat worried278.9
 Not at all worried237.6
To what extent do you think coronavirus poses a risk to you personally?
 Major risk30618159.2
 Moderate risk6420.9
 Minor risk3511.4
 No risk at all268.5
Do you think coronavirus poses a risk to people in Uganda?
 Major risk30416855.3
 Moderate risk9531.3
 Minor risk3110.2
 No risk at all103.3
Do you know if you have had, or currently have, coronavirus?
 I have definitely had it30692.9
 I think I have probably had it51.6
 I think I have probably not had it13544.1
 I have definitely not had it15751.3
Have you been tested for coronavirus?
 No30526988.2
 Yes – positive82.6
 Yes – negative289.2
Has any of your family members tested for COVID-19?
 No30327089.1
 Yes – positive155.0
 Yes – negative185.9
Has any of your friends tested positive for COVID-19?
 No30627890.9
 Yes – positive175.6
 Yes – negative113.6
I think I have some immunity to coronavirus
 Strongly agree299113.7
 Agree4013.4
 Neither agree nor disagree6120.4
 Disagree16454.9
 Strongly disagree237.7
COVID-19 risk perceptions among patients at high risk of COVID-19 disease.

Vaccine hesitancy

Hesitancy towards previous vaccines among patients who had children was relatively very low. Only 5.7% (n = 17) and 3.8% (n = 11) had been hesitant or had refused to have their children vaccinated, respectively (Figure 2). Among these, the issues of vaccine safety and efficacy were the most common reasons for hesitancy (Figure 3).
Figure 2.

Reasons for refusing children access to vaccinations.

Figure 3.

Sources of negative information on the COVID-19 vaccine among participants.

Reasons for refusing children access to vaccinations. Sources of negative information on the COVID-19 vaccine among participants.

COVID-19 vaccine perceptions and acceptability

The vast majority (n = 295, 96.4%) were aware about the COVID-19 vaccine and over 50% of the patients agreed that the vaccine might be effective in protecting them against COVID-19. Up to 82.4% (n = 243) had ever heard negative information on the COVID-19 vaccine, and most of this was from friends (76.1%) and social media (35.0%). Overall, 216 patients (70.1%) were willing to accept the COVID-19 vaccines. Self-protection, government recommendations and health-workers’ recommendations were the most frequent reasons for accepting the vaccine (Table 3). Of the 92 patients who were not willing to accept the COVID-19 vaccine, negative information and safety concerns were the most frequent reasons (Table 3).
Table 3.

Reasons for COVID-19 vaccine acceptability among patients at high risk of severe COVID-19 disease.

Frequency%
Reason for accepting the vaccine (N = 216)
 To protect myself from getting COVID-1920394.0
 Government recommendations14868.5
 Health workers’ recommendations10146.8
 I am at high risk of severe disease7936.6
 If it is available to me6931.9
 If the vaccine is free of charge3616.7
 The vaccines are safe3315.3
 It is a social and moral responsibility3214.8
 To protect others from getting COVID-192210.2
 I believe in vaccines and immunization2210.2
 The vaccines are effective2210.2
 To be able to travel209.3
 To get rid of the virus and end the pandemic136.0
 Job requirement41.9
Reason for refusing the COVID-19 vaccine (N = 92)
 I have heard or read negative information on the vaccine5964.1
 I don’t think the vaccine is safe5357.6
 I don’t think the vaccine is effective4548.9
 Someone else told me that the vaccine is not safe4346.7
 I don’t think it is needed2628.3
 I don’t know where to get good/reliable information2122.8
 I trust my immunity88.7
 Had a bad experience with previous vaccinator/health clinic77.6
 I don’t know where to get vaccination44.3
 Had a bad experience or reaction with previous vaccination33.3
 The vaccine is costly for me33.3
 Fear of needles22.2
 Someone else told me they/their child had a bad reaction22.2
 Religious reasons11.1
 Not possible to leave other work11.1
Reasons for COVID-19 vaccine acceptability among patients at high risk of severe COVID-19 disease.

Factors associated with COVID-19 vaccine acceptability

At bivariate analysis, sex (p = 0.005), perceived risk of future COVID-19 (p = 0.006), extent of worrying about the COVID-19 disease (p = 0.016), current perceived risk of COVID-19 (p < 0.001), perceived immunity to COVID-19 (p < 0.001), and perceived efficacy of the COVID-19 vaccine (p < 0.001)) were significantly associated with COVID-19 vaccine acceptability (Table 4). A history of vaccine hesitancy (p < 0.001) or refusal (p = 0.013) were also significantly associated with acceptability (Table 4).
Table 4.

A bivariate analysis showing factors associated with COVID-19 vaccine acceptability among patients at high risk of severe COVID-19 disease.

VariablesAcceptability
Non = 92Yesn = 216 p
Age
 <50 years40 (31.7)86 (68.3)0.550
 50+ years52 (28.6)130 (71.4)
Sex, N = 304
 Male25 (20.8)95 (79.2)0.005
 Female66 (35.9)118 (64.1)
Marital status, N = 305
 Never married5 (27.8)13 (72.2)0.109
 Married43 (25)129 (75)
 Divorced/widowed/separated42 (36.5)73 (63.5)
Religion
 Anglican33 (31.7)71 (68.3)0.101
 Roman Catholic28 (28.3)71 (71.7)
 Muslim10 (18.9)43 (81.1)
 Pentecostal15 (35.7)27 (64.3)
 SDA1 (100)0 (0)
 Atheist5 (55.6)4 (44.4)
Highest level of education
 None10 (43.5)13 (56.5)0.170
 Primary43 (33.9)84 (66.1)
 Secondary25 (24.8)76 (75.2)
 Tertiary14 (24.6)43 (75.4)
Occupation
 Unemployed30 (26.8)82 (73.2)0.247
 Employee16 (25)48 (75)
 Self employed46 (34.8)86 (65.2)
Residence, N = 291
 Rural28 (29.5)67 (70.5)0.873
 Urban56 (28.6)140 (71.4)
Number of comorbidities
 One71 (27.8)184 (72.2)0.207
 Two19 (40.4)28 (59.6)
 Three2 (33.3)4 (66.7)
How likely do you think you will get COVID-19 in future?
 Extremely likely4 (14.8)23 (85.2)0.006
 Moderate5 (19.2)21 (80.8)
 Not at all22 (53.7)19 (46.3)
 Slightly13 (27.7)34 (72.3)
 Very likely47 (29.4)113 (70.6)
Overall, how worried are you about coronavirus?
 Extremely35 (28.2)89 (71.8)0.016
 Not at all10 (43.5)13 (56.5)
 Not very13 (56.5)10 (43.5)
 Somewhat9 (33.3)18 (66.7)
 Very25 (23.4)82 (76.6)
To what extent do you think coronavirus poses a risk to you personally?
 Major risk49 (27.1)132 (72.9)<0.001
 Minor risk20 (57.1)15 (42.9)
 Moderate risk11 (17.2)53 (82.8)
 No risk at all11 (42.3)15 (57.7)
Do you think coronavirus poses a risk to people in Uganda?
 Major risk42 (25)126 (75)0.245
 Minor risk11 (35.5)20 (64.5)
 Moderate risk34 (35.8)61 (64.2)
 No risk at all3 (30)7 (70)
Do you know if you have had, or currently have, coronavirus?
 I have definitely had it3 (33.3)6 (66.7)0.497
 I have definitely not had it45 (28.7)112 (71.3)
 I think I have probably had it3 (60)2 (40)
 I think I have probably not had it39 (28.9)96 (71.1)
Have you been tested positive for coronavirus?
 Yes2 (25)6 (75)0.747
 No90 (30.3)207 (69.7)
Has any of your family members positive tested for COVID-19?
 Yes4 (26.7)11 (73.3)0.749
 No88 (30.6)200 (69.4)
Has any of your friends tested positive for COVID-19?
 Yes6 (35.3)11 (64.7)0.606
 No85 (29.4)204 (70.6)
I think I have some immunity to coronavirus
 Agree17 (42.5)23 (57.5)<0.001
 Disagree28 (17.1)136 (82.9)
 Neutral33 (54.1)28 (45.9)
 Strongly agree7 (63.6)4 (36.4)
 Strongly disagree4 (17.4)19 (82.6)
Have you been hesitant to have your children vaccinated?
 Yes13 (76.5)4 (23.5)<0.001
 No73 (26.2)206 (73.8)
Have you ever refused to have your children vaccinated?
 Yes7 (63.6)4 (36.4)0.013
 No80 (28.6)200 (71.4)
Are you aware of the COVID-19 vaccine?
 Yes87 (29.5)208 (70.5)0.257
 No5 (45.5)6 (54.5)
COVID-19 vaccine may be effective in protecting me from COVID-19
 Agree18 (13.2)118 (86.8)<0.001
 Disagree13 (59.1)9 (40.9)
 Neutral50 (44.6)62 (55.4)
 Strongly agree5 (19.2)21 (80.8)
 Strongly disagree5 (62.5)3 (37.5)
Have you ever received or heard negative information about COVID-19 vaccination?
 No12 (23.1)40 (76.9)0.164
 Yes80 (32.9)163 (67.1)

SDA, Seventh Day Adventist.

A bivariate analysis showing factors associated with COVID-19 vaccine acceptability among patients at high risk of severe COVID-19 disease. SDA, Seventh Day Adventist. At multivariable analysis (Table 5), the odds of willingness to accept COVID-19 vaccination were four times greater if a participant was male compared with if a participant was female [adjusted odds ratio (AOR): 4.1, 95% confidence interval (CI): 1.8–9.4, p = 0.001]. Patients who agreed (AOR: 0.04, 95% CI: 0.01–0.38, p = 0.003) or strongly agreed (AOR: 0.04, 95% CI: 0.01–0.59, p = 0.005) that they had some immunity against COVID-19 were also significantly less likely to accept the vaccine. Finally, patients who had a history of vaccine hesitancy for their children were also significantly less likely to accept the COVID-19 vaccine (AOR: 0.1, 95% CI: 0.01–0.58, p = 0.016). Perceived risks to COVID-19 and perceived efficacy of the COVID-19 vaccine lost significance at multivariable analyses.
Table 5.

Multivariable analysis model showing associations with COVID-19 acceptability among patients at high risk of severe disease.

VariablesAOR (95% CI) p
Sex, N = 304
 FemaleReference
 Male4.1 (1.8–9.4)0.001
Marital status, N = 305
 Never marriedReference
 Married2.3 (0.2–21.3)0.468
 Divorced/widowed/separated1.6 (0.2–15.3)0.689
Religion
 AnglicanReference
 Roman Catholic2.1 (0.9–5.0)0.094
 Muslim2.9 (0.9–9.6)0.087
 Pentecostal1.6 (0.5–4.9)0.441
 Atheist0.2 (0.0–2.4)0.227
Highest level of education
 NoneReference
 Primary1.2 (0.3–4.9)0.794
 Secondary3.8 (0.8–17.0)0.086
 Tertiary1.5 (0.3–7.3)0.645
How likely do you think you will get COVID-19 in future?
 Not at allReference
 Slightly3.3 (0.7–15.5)0.131
 Moderate1.4 (0.2–9.7)0.729
 Very likely1.5 (0.3–6.7)0.612
 Extremely likely1.7 (0.2–13.8)0.608
Overall, how worried are you about coronavirus?
 Not at allReference
 Not very1.1 (0.1–10.3)0.935
 Somewhat2.6 (0.3–22.8)0.396
 Very1.7 (0.2–11.9)0.610
To what extent do you think coronavirus poses a risk to you personally?
 No risk at allReference
 Minor risk0.4 (0.1–2.8)0.381
 Moderate risk1.7 (0.2–11.8)0.586
 Major risk0.7 (0.1–5.1)0.707
I think I have some immunity to coronavirus
 Strongly disagreeReference
 Disagree0.3 (0.0–2.1)0.232
 Neutral0.0 (0.0–0.3)0.003
 Agree0.0 (0.0–0.4)0.005
 Strongly agree0.0 (0.0–0.4)0.019
Have you been hesitant to have your children vaccinated?
 NoReference
 Yes0.1 (0.0–0.6)0.016
Have you ever refused to have your children vaccinated?
 NoReference
 Yes1.2 (0.1–13.0)0.902
Have you ever received or heard negative information about COVID-19 vaccination?
 NoReference
 Yes0.5 (0.2–1.5)0.242

AOR, adjusted odds ratio; CI, confidence interval.

Multivariable analysis model showing associations with COVID-19 acceptability among patients at high risk of severe disease. AOR, adjusted odds ratio; CI, confidence interval.

Discussion

In this study, we assessed for the acceptability of COVID-19 vaccine among persons at high risk of COVID-19 morbidity and mortality in Uganda. About 70% of the study population was willing to receive the vaccine. Perceived risk of future COVID-19, extent of worrying about COVID-19, current perceived risk of COVID-19, perceived immunity to COVID-19 and perceived efficacy of the COVID-19 vaccine were significantly associated with COVID-19 vaccine acceptability. Interestingly, our recently concluded survey of over 600 medical students in Uganda showed that only 37.3% were willing to receive a COVID-19 vaccine. This might be due to lack of correct information regarding the vaccine among medical students, which could have been consolidated by the current wave of speculations on the safety, especially the reported incidence of blood clots in AstraZeneca and Johnson & Johnson vaccines. Medical students in our recent study also reported low perceived risk as a major factor for lack of willingness to accept the vaccine. However, our finding is consistent with a global COVID-19 vaccine acceptability survey in which over 72% of over 13,000 individuals from 19 countries across the world were willing to receive a proven, safe and effective COVID-19 vaccine. In our study, male patients were more likely to accept the COVID-19 vaccine. This corroborates with our findings in the medical student population, where male students were up to two times more likely to accept the COVID-19 vaccine. Among healthcare workers in Democratic Republic of Congo, males were also more likely to receive the vaccine. This trend has been observed in Kuwait, the general population in the United States, and their health workers. It is not yet clear as to why this gender difference has been continually reported in previous studies as well. Men have been reported to generally take more risks in life than women. With the ongoing infodemic of antivax messages, we postulate that men may be willing to take a risk and receive the vaccine, hence the difference in acceptability. Our study also demonstrated the impact of perceived immunity to the COVID-19 vaccine on its acceptability. Those who thought they had immunity towards COVID-19 were significantly less likely to accept the vaccine. This perception has been reported in the general population of Kuwait adults, where self-perceived risks of contracting COVID-19, the self-perceived potential severity of their COVID-19 and perceptions on natural immunity towards COVID-19 affected acceptability in a similar trend. There is therefore need to provide clear information about development of immunity among patients who have previously had COVID-19, and intensifying risk communication to curb the reluctance observed in the general public in Uganda with regard to COVID-19 prevention. Despite the proven efficacy of COVID-19 vaccines, breakthrough SARS-CoV-2 infection might still occur despite a complete vaccination. Therefore, COVID-19 vaccine recipients should be reminded to continue other personal preventive measures to reduce SARS-CoV-2 transmission, such as masking and physical distancing when in public or around unvaccinated individuals who are at risk for severe COVID-19. There is growing concern that vaccine hesitancy and anti-vaccination presence will dampen the uptake of the coronavirus vaccine. There are many cited reasons for vaccine hesitancy. Mercury content, autism association, concerns about vaccine side effects and safety, lack of trust in the process and vaccine danger have been commonly found in anti-vaccination messages. In other studies, COVID-19 vaccine hesitancy has been associated with younger age (e.g. <60 years old), self-identification as Black race, lower levels of education, lack of health insurance, sex, education, employment, income, having children at home, political affiliation and the perceived threat of getting infected with COVID-19 in the next 1 year.[10-12,14] In the present study, we noted that individuals who perceived to have some immunity to COVID-19 were less likely to accept the vaccine. Our study has some limitations. We had a small sample size and derived the study population from a single center. Therefore, our findings may not be generalizable to the general population of high-risk individuals in Uganda. However, our findings provide a useful information on potential strategies to optimize vaccine uptake among these high-risk populations. Future research work would be tailored at the actual uptake and completion of vaccination schedules in this population. In conclusion, among high-risk individuals in Uganda, willingness to accept the COVID-19 vaccine was high. Target health communications aimed at addressing barriers to vaccine uptake has to be prioritized in this population.
  19 in total

1.  Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine.

Authors:  Matan Levine-Tiefenbrun; Idan Yelin; Rachel Katz; Esma Herzel; Ziv Golan; Licita Schreiber; Tamar Wolf; Varda Nadler; Amir Ben-Tov; Jacob Kuint; Sivan Gazit; Tal Patalon; Gabriel Chodick; Roy Kishony
Journal:  Nat Med       Date:  2021-03-29       Impact factor: 53.440

2.  The story behind COVID-19 vaccines.

Authors:  Anthony S Fauci
Journal:  Science       Date:  2021-04-09       Impact factor: 47.728

3.  Acceptance of the coronavirus disease-2019 vaccine among medical students in Uganda.

Authors:  Andrew Marvin Kanyike; Ronald Olum; Jonathan Kajjimu; Daniel Ojilong; Gabriel Madut Akech; Dianah Rhoda Nassozi; Drake Agira; Nicholas Kisaakye Wamala; Asaph Asiimwe; Dissan Matovu; Ann Babra Nakimuli; Musilim Lyavala; Patricia Kulwenza; Joshua Kiwumulo; Felix Bongomin
Journal:  Trop Med Health       Date:  2021-05-13

4.  The willingness to accept the COVID-19 vaccine and affecting factors among healthcare professionals: A cross-sectional study in Turkey.

Authors:  Askin Keskin Kaplan; Mustafa Kursat Sahin; Hulya Parildar; Isil Adadan Guvenc
Journal:  Int J Clin Pract       Date:  2021-04-29       Impact factor: 3.149

5.  COVID-19 Vaccination Hesitancy in the United States: A Rapid National Assessment.

Authors:  Jagdish Khubchandani; Sushil Sharma; James H Price; Michael J Wiblishauser; Manoj Sharma; Fern J Webb
Journal:  J Community Health       Date:  2021-01-03

6.  Adjunctive intravenous immunoglobulins (IVIg) for moderate-severe COVID-19: emerging therapeutic roles.

Authors:  Felix Bongomin; Lucy Grace Asio; Kenneth Ssebambulidde; Joseph Baruch Baluku
Journal:  Curr Med Res Opin       Date:  2021-03-31       Impact factor: 2.580

7.  Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, China.

Authors:  J Zhang; X Wang; X Jia; J Li; K Hu; G Chen; J Wei; Z Gong; C Zhou; H Yu; M Yu; H Lei; F Cheng; B Zhang; Y Xu; G Wang; W Dong
Journal:  Clin Microbiol Infect       Date:  2020-04-15       Impact factor: 8.067

8.  Long COVID and chronic COVID syndromes.

Authors:  Stephen Halpin; Rory O'Connor; Manoj Sivan
Journal:  J Med Virol       Date:  2020-10-30       Impact factor: 20.693

9.  A global survey of potential acceptance of a COVID-19 vaccine.

Authors:  Jeffrey V Lazarus; Scott C Ratzan; Adam Palayew; Lawrence O Gostin; Heidi J Larson; Kenneth Rabin; Spencer Kimball; Ayman El-Mohandes
Journal:  Nat Med       Date:  2020-10-20       Impact factor: 53.440

10.  Independent Impact of Diabetes on the Severity of Coronavirus Disease 2019 in 5,307 Patients in South Korea: A Nationwide Cohort Study.

Authors:  Sun Joon Moon; Eun-Jung Rhee; Jin-Hyung Jung; Kyung-Do Han; Sung-Rae Kim; Won-Young Lee; Kun-Ho Yoon
Journal:  Diabetes Metab J       Date:  2020-10-21       Impact factor: 5.376

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  12 in total

Review 1.  COVID-19 vaccine hesitancy in Africa: a scoping review.

Authors:  Betty B B Ackah; Michael Woo; Lisa Stallwood; Zahra A Fazal; Arnold Okpani; Ugochinyere Vivian Ukah; Prince A Adu
Journal:  Glob Health Res Policy       Date:  2022-07-19

2.  COVID-19 vaccination acceptance in Jambi City, Indonesia: A single vaccination center study.

Authors:  Gilbert Sterling Octavius; Theo Audi Yanto; Rivaldo Steven Heriyanto; Haviza Nisa; Catherine Ienawi; H Emildan Pasai
Journal:  Vacunas       Date:  2022-06-20

3.  Determinants of COVID-19 vaccine acceptance among adults with diabetes and in the general population in Israel: A cross-sectional study.

Authors:  Tatyana Kolobov; Simcha Djuraev; Sara Promislow; Orly Tamir
Journal:  Diabetes Res Clin Pract       Date:  2022-06-14       Impact factor: 8.180

4.  Attitudes, acceptance and hesitancy among the general population worldwide to receive the COVID-19 vaccines and their contributing factors: A systematic review.

Authors:  Fidelia Cascini; Ana Pantovic; Yazan Al-Ajlouni; Giovanna Failla; Walter Ricciardi
Journal:  EClinicalMedicine       Date:  2021-09-02

5.  Systematic Review and Meta-Analysis of COVID-19 Vaccination Acceptance.

Authors:  Mohd Noor Norhayati; Ruhana Che Yusof; Yacob Mohd Azman
Journal:  Front Med (Lausanne)       Date:  2022-01-27

6.  Health Professionals' COVID-19 Vaccine Acceptance and Associated Factors in Tertiary Hospitals of South-West Ethiopia: A Multi-Center Cross- Sectional Study.

Authors:  Bekele Boche; Oliyad Kebede; Mekonnen Damessa; Tadesse Gudeta; Diriba Wakjira
Journal:  Inquiry       Date:  2022 Jan-Dec       Impact factor: 1.730

7.  Public attitudes towards COVID-19 vaccines in Africa: A systematic review.

Authors:  Patrice Ngangue; Arzouma Hermann Pilabré; Abibata Barro; Yacouba Pafadnam; Nestor Bationo; Dieudonné Soubeiga
Journal:  J Public Health Afr       Date:  2022-05-24

8.  Willingness to Accept the COVID-19 Vaccine and Related Factors among Indian Adults: A Cross-Sectional Study.

Authors:  Swapna Upadhyay; Padukudru Anand Mahesh; Ashwaghosha Parthasarathi; Rahul Krishna Puvvada; Malavika Shankar; Jayaraj Biligere Siddaiah; Koustav Ganguly
Journal:  Vaccines (Basel)       Date:  2022-07-08

Review 9.  COVID-19 Vaccine Acceptance among Low- and Lower-Middle-Income Countries: A Rapid Systematic Review and Meta-Analysis.

Authors:  Muhammad Mainuddin Patwary; Md Ashraful Alam; Mondira Bardhan; Asma Safia Disha; Md Zahidul Haque; Sharif Mutasim Billah; Md Pervez Kabir; Matthew H E M Browning; Md Mizanur Rahman; Ali Davod Parsa; Russell Kabir
Journal:  Vaccines (Basel)       Date:  2022-03-11

10.  COVID-19 Vaccine Hesitancy and Associated Factors among Diabetes Patients: A Cross-Sectional Survey in Changzhi, Shanxi, China.

Authors:  Ying Wang; Lingrui Duan; Mufan Li; Jiayu Wang; Jianzhou Yang; Congying Song; Jing Li; Jinsheng Wang; Jiantao Jia; Junjie Xu
Journal:  Vaccines (Basel)       Date:  2022-01-17
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