FACTORS ASSOCIATED WITH THE UPTAKE OF COVID-19
VACCINES: A CROSS-SECTIONAL STUDY AMONG THE
STUDENTS OF BISHOP STUART UNIVERSITY.
Mary Jesenta Ngabiranoa,∗, Francis Kazibwe, Ronald Bahatib , Bright Laban Waswac , Wycliffe
Tumwesigyed
a
Faculty of Nursing and Health Sciences Bishop Stuart University.
Administrator, Research Ethics Committee - REC Bishop Stuart University.
c
Department of Publich Health and Biomedical Sciences, Faculty of Nursing and Health Sciences, Bishop Stuart
University.
Department of Agriculture, Faculty of Agriculture, Environmental Sciences and Technology, Bishop Stuart University.
b
d
Abstract
Background :
Numerous vaccines against coronavirus disease (COVID-19) were approved and distributed globally.
However, little information was available on the factors that affect the uptake of COVID-19 vaccines in
Uganda. The aim of this study therefore, is to find out the Factors associated with uptake of COVID-19
vaccines among the Students of Bishop Stuart University, Mbarara City.
Methodology :
A cross-sectional study design using qualitative and quantitative approaches was employed. Data
was collected from a sample of randomly selected 370 respondents from Bishop Stuart University.
Qualitative and Quantitative data collection methods were employed. Data was collected between 11th
July and 3th October 2022. Statistical Package for Social Sciences version 26 was used during analysis.
Chi square and logistic regressions were used to assess factors associated with uptake of COVID-19
vaccines. Factors with p-values <0.2 at bivariate analysis were entered into multivariate analysis.
Factors with p<0.05 were considered significant.
Results :
Respondents that reported to always be busy with domestic work indicated a lower likelihood for the
uptake of Covid-19 vaccines (AOR = 0.6, 95%CI: 0.40-0.99, p = 0.045). Respondents who perceived
that the costs in the hospital were too high to manage Covid-19 illness indicated a higher likelihood
for uptake of Covid-19 vaccines (AOR = 3.4, 95%CI: 1.93-6.12, p <0.001).
Conclusion :
Domestic work has been found out to hinder the majority of the respondents from vaccinating against
Covid-19. High rates of the uptake of Covid-19 vaccines were registered among those who feared the
high costs of Covid-19 illness management in hospitals. The cultural norms associated with being a
male or female, therefore, had impacted on the decision to take Covid-19 vaccines.
Recommendation:
Community outreaches should be organized to sensitize communities about the dangers of domestic
work and how to strike a balance when it comes to daily activities. This will in return lead to high
return rates for Covid-19 vaccination.
Keywords: factors, Covid-19, vaccines, uptake, students, university, Submitted:17th/12/2022
Accepted: 19th/12/2022
April 7, 2023
1. Background of the study
According to Haynes et al., (2020), COVID19 vaccines are vaccines intended to provide acquired immunity against severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), the virus
causing coronavirus disease 2019.
Globally, studies have shown clearly that there
was need to dig deep into the factors that may
hinder the public from being vaccinated against
Covid-19 to be able to acquire herd immunity
(Wang et al., 2022). The study carried out by
Mant et al., (2021) showed that University students in Canada had even resisted the approved
Covid-19 Vaccines that do not necessarily had
supply issues. They attributed everything to the
speed with which vaccines were developed and
they believed that the global and national authorities, together with pharmaceutical companies were just interested in financial gains but not
the health of the general public. This had posed
a challenge to the process of vaccination.
In a recent global review of 19,991 students and
trainees in healthcare professions from 39 countries, factors associated with the uptake of Covid19 vaccines included being a priority group, having greater access to vaccines, or due to their
knowledge about medical and health sciences, the
preferences and perspectives of non-healthcare related and non-medical college/university students
on COVID-19 vaccinations (Khubchandani et al.,
2022).
The study carried out by Mant et al., (2021)
showed that University students in Canada and
found out that the factors associated with the uptake of Covid-19 vaccines were fear of the speed
with which vaccines were developed and a belief
that the global and national authorities, together
with pharmaceutical companies were just interested in financial gains but not the health of the
general public. This had posed a challenge to the
process of vaccination.
In Europe, one of the factors associated with
the uptake of Covid-19 vaccines was compulsory
∗
Corresponding author.
Email address: mjngabirano@gmail.com (Mary
Jesenta Ngabirano)
COVID-19 certification which resulted into improved vaccinations (Mills & Rüttenauer, 2022).
In the same study, age was a factor behind Covid19 vaccines uptake where most young people below the age of 30 were recorded to take Covid-19
vaccine doses after the introduction of certification. Most of these were students in higher institutions of learning (Mills & Rüttenauer, 2022). In
Uganda, the same campaign was introduced but
after some time, people seemed to have relaxed
and everything was taken lightly. This study,
therefore, intended to find out those factors that
might have led to this scenario.
Wong et al., (2022) identified factors associated with the uptake of Covid-19 vaccines and
these include: current employment condition
(p<0.001), perceived health status (p<0.001),
perceived mental health status (p<0.001), contact with the known suspected case(s) of COVID19 (p<0.017), perceived exposure to COVID19 (p=0.003), perceived knowledge of COVID19 (p<0.001), perceived knowledge of COVID19 vaccines (p<0.001), healthcare providers as a
source of knowledge about COVID-19 (p=0.004),
healthcare providers (p=0.017) and brochures,
posters, and other printed materials (p=0.004)
as sources of knowledge about COVID-19 vaccines, perception about family members being at
risk of COVID-19 infection (p=0.032), and confidence in protecting themselves against COVID-19
(p=0.031). This study was done among the general population of community members in Hong
Kong and did not pay attention to those factors
related to students, an area of interest of the researcher in this study
In Sub Saharan Africa, factors affecting
COVID-19 vaccination campaigns are vaccine
supply and financing (Kanyanda et al., 2021).
Little was known about factors associated with
the uptake of the available COVID-19 vaccines in
these countries and in Africa in particular. This
was part of the reason behind this study.
In African countries like Nigeria, factors associated with the uptake of Covid-19 vaccines range
from education levels, to occupation and religion,
among others. Adedeji-Adenola et al., (2022)
identified factors associated with the uptake of
April 7, 2023
Covid-19 vaccines in Nigeria and they suggested
factors such as education, religion, occupation,
prior diagnosis of COVID-19 disease, distrust and
safety concerns as predictive variables that influence awareness of vaccination exercise
In Africa still, many beliefs and myths that
surrounded Covid-19 and Covid-19 vaccines had
caused many Africans to decline vaccinations at a
time when new, more infectious coronavirus variants were spreading across the continent like the
Omicron variant of South Africa (Khubchandani
& Macias, 2021). Most Africans believed that the
government leaders had made people to believe
that there was Covid-19 so that they could get
a chance to hold onto power. So there was no
trust in the vaccines since they believed that they
are dangerous. Others believed that Covid-19 was
for the whites and did not pose a serious threat to
Africans and they said that even the belief they
had in African tonics could not be compared to
the dangerous Covid-19 vaccines. Others believed
that whites wanted to kill Africans for their own
interests. Such beliefs had hampered the vaccination campaigns in most African Countries despite
the efforts made by different Ministries of Health
in Africa.
In East Africa, the factors associated with
the uptake of Covid-19 vaccines were: attending above secondary school (AOR: 2.1, 95%CI:
1.37, 2.96), having good knowledge about the vaccine (AOR: 2.1, 95%CI: 1.6, 2.8), having a positive attitude towards vaccine (AOR: 3.8, 95%CI:
2.3, 6.2), history of COVID-19 infection (AOR:
2.7, 95%CI: 1.6, 4.7) and being male (AOR: 1.8,
95%CI: 1.2, 2.7 (Alemayehu et al., 2022).
In Tanzania, the factors associated with the uptake of Covid-19 vaccines included the health officials struggling to dispel the criticism and misinformation about Covid-19 vaccine. This challenge
had affected all age groups including University
students after joining the World Health Organization’s COVAX initiative which led to the reception of more than 1 million doses of Johnson
& Johnson vaccine donated by United States (US)
(Osuagwu, 2021).
According to Kabagyenyi et al., (2022), factors
associated with the uptake of Covid-19 vaccines in
Uganda include location, education level, knowledge on how COVID-19 is transmitted, perceptions towards Covid-19, level of awareness on vaccine types or vaccination areas, misconceptions
like the ability of the vaccine to cause infertility,
or spreading the virus into the body, and acknowledgment of alcohol as a possible cure were other
reasons for vaccine hesitancy.
In spite of the studies carried out on the
COVID-19 vaccines hesitancy and resistance
among the populations, many questions about
factors affecting the uptake of these vaccines
remained unanswered. It was against this background that the study sought to find out the
Factors Associated with the Uptake of COVID19 vaccines among the Students of Bishop Stuart
University, Mbarara City.
2. Methodology
2.1. Research design
Oso and Onen (2008) defined a research design
as a plan for conducting a study. This study was
conducted through a cross-sectional research design. According to Setia (2016), cross-sectional
survey design is a type of observational study design where the researcher measures the outcome
and the exposures in the study participants at the
same time and the participants are selected based
on the inclusion and exclusion criteria set for the
study. Qualitative and quantitative approaches
were employed for this study. The quantitative
data was collected using an open and closed ended
questionnaire. Qualitative data was collected using interview schedules and focus group discussions.
2.2. Area of the study
The study was carried out from Bishop Stuart University between 11th July and 3th October
2022. Bishop Stuart University has two campuses:
Kakoba which is the main campus of the university on 48.2 hectares of land, 5km East of Mbarara
City on plot 150, Buremba Road, Kashari Block
4, Kakoba Hill. Ruharo Campus, which is located
at Ruharo hill in the neighborhood of the Diocesan Cathedral of St. James.
April 7, 2023
2.3. Study Population
According to Best and Kahn (2006), a study
population is any group of individuals, that
have one or more characteristics in common and
which are of the interest to the researcher. The
study population encompassed all the students
of Bishop Stuart University from both campuses
taking into account that the students were 5000
and above at the time of the study. 70% of these
students (3500 students) need to be vaccinated if
the students’ population was to acquire herd immunity.
Inclusion criteria: The students aged 18 and
above were recruited for this study. These were
students of Bishop Stuart University who were
currently pursuing a course in any of the faculties.
Exclusion criteria: Student below the age of
18, those who had finished from Bishop Stuart,
students from other universities and the staff of
Bishop Stuart were not recruited for this study.
2.4. Sampling strategies
This study employed both simple random sampling and snowball sampling. Simple random
sampling is where each member in the target population has an equal probability of being chosen meaning that the sample is chosen without
bias. Snowball sampling technique is used in
non-probability sample where the research participants already enrolled in the study help to recruit future participants. This means that the researcher was helped by the participants to know
the class coordinators who were targeted to be
interviewed in this study. Simple random sampling was mainly used to select a random sample
whereas snowball sampling was majorly used to
collect focused information.
In this study, simple random sampling was used
to get students who responded to the questionnaires and snowball sampling strategy was used
in selection of students’ coordinators to participate in the study. Simple random sampling technique was preferred for this study because the researcher aimed at ensuring that each student in
Bishop Stuart University has equal chances of being included in the study so as to avoid biases.
Snowball sampling technique was preferred in this
study because the researcher wanted to get quality information from the selected students’ coordinators without bias.
2.5. Sample size selection
The sample for this study will be determined
using Slovin’s formula as cited by Yamane (1967)
which is
N
n=
1 + N (e)2
n=
5000
1 + 5000 (0.05)2
= 370 students
n = Sample size
N= population size
e= co-efficiency level of precision (0.05)
n=370 students
The sample, therefore, consisted of 380 students of Bishop Stuart University. Of this sample,
10 class coordinators were involved in the study
in focus group discussions as shown in Table 1.
370 students were chosen to participate in the
quantitative study because they could provide required information on the social-cultural, socialeconomic and religious factors associated with the
uptake of Covid-19 vaccines using the structured
questions. These were the source of information
as they had their own Covid-19 vaccine experiences unknown to the researcher. The 10 class
coordinators were included in the study because
they interact with these students on a daily basis
and could bring out some information that would
otherwise not been given by the students they coordinate.
2.6. Data collection methods
According to Bines, et al., (2004), data collection is the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses,
and evaluate outcomes. In this study, quantitative data was collected using structured questionnaires developed in English, to elicit responses
April 7, 2023
Table 1: Showing Sample size methodological matrix
Population
Sample size
Students
370
Class Coordinators 10
Total
380
from the study participants. The questionnaire
was used to explore the individual characteristics of the participants, information on the socialcultural, social-economic and the religious factors
associated with the uptake of Covid-19 vaccines
among students. For qualitative data, focused
group discussion and in-depth interview guides
were used to obtain information from the students’ coordinators to gain their perspectives on
the factors that affect the uptake of Covid-19 vaccines.
2.7. Data quality control
2.8. Validity
Fraenkel and Devers (2000) defined validity as
appropriate meaningfulness of inferences a researcher draws based on data obtained through
the use of an instrument. In this study, the researcher designed questions which were discussed
with the supervisors such that the information obtained may enable the researcher to make correct
analysis, interpretations and conclusions about
the topic of the study and the ethical principles. The questionnaire was tested through a pilot study of 10% of the respondents before using
it in the field to ensure content validity and was
calculated as:
Where CVI is content validity Index
Each objective was abbreviated as;
Prevalence of the uptake of Covid-19 vaccines
= PUCV
Sampling technique
Simple random Sampling
Snowball sampling
Socio-cultural factors associated with the uptake of Covid-19 Vaccines =SCFAUCV
Socio-economic factors associated with the uptake of Covid-19 vaccines = SEFAUCV
Religious factors associated with the uptake of
Covid-19 vaccines = RFAUCV
For PUCV QN = \frac67\;= 0 86
For SCFAUCV QN = \frac9{10}\;= 0 9
For SECFAUCV QN = \frac79\;= 0 78
According to Amiin (2005), for the instrument
to be acceptable, the average index should be 0.6
and agreeing to table 2 above, the current instrument surpassed it making it valid. The closer to
1.0 the CVR is, the more essential the object is
considered to be valid.
2.9. Reliability
Fraenkel and Dever (2000) defined reliability as
a consistence of score or answer provided by an
instrument. An instrument is reliable if it produces the same results whenever it is repeatedly
used to measure trait or concept from the same
respondents even by another researcher. In order
to guarantee reliability, the researcher run a reliability statistic using Cohen’s Kappa statistics to
determine the consistency of the research study
results from the equation below.
O − Pe
K= P1−
Pe
Where PO = Relative agreement among observers
Pe = Hypothetical probability of chance agreement
PO = 30+8
= 0.88
43
8+ 3
3
8
30+ 2
+ 2+
× 43
Pe = 43 × 30+
43
43
[(0.744)×(0.767)] + [ (0.233)×(0.256)]
0.571 + 0.0596
= 0.63
0.63
K= 0.88−
1− 0.63
= 0.68 = 0.7
= 0.25
0.37
April 7, 2023
Table 2: Showing Content validity index of the questionnaire used in the study
QN
PUCV QN
SCFAUCV QN
SEFAUCV QN
RFAUCV QN
CVI
0.86
0.9
0.78
1
Percentage (%)
86
90
78
100
Table 3: Showing the results of two observers
Observer 1
YES
NO
The test above indicated that Cohen’s Kappa
statistics K = 0.7. This means that there was a
substantial agreement between the frequencies of
the observers.
2.10. Data management and analysis
Data analysis involved organizing data in ways
that allow researchers to see patterns, identify
themes, discover relationships, develop expectations, and make interpretations, mount critiques
or generate theories (Bogdan & Biklen., 1992).
Observer 2
YES
30
3
NO
2
8
the respondents talked about (Berg, 2004). The
information was encoded and edited to find out
if there were questions that would not be properly filled and cross checked responses to the interview guides to ensure that questions were given
complete answers. Therefore, discrete bit of information was assigned into categories using themes
as coding units. Important thematic areas such
direct quotations were extracted and reported in
line with study variable verbatim.
3. Ethical Consideration
2.10.1. Quantitative analysis:
The data obtained was managed by first checking if it was complete. It was then entered into the
computer for storage and later further processing. The Statistical Package for Social Sciences
(SPSS) version 26 was used during analysis. Chi
square and logistic regressions were used to assess factors associated with the uptake of Covid19 vaccines among the students of Bishop Stuart
University. Factors with p-values<0.2 at bivariate analysis were entered into multivariate analysis where factors with p<0.05 were considered
significant.
2.10.2. Qualitative analysis:
The study employed both thematic and content analysis techniques to analyze the qualitative data. This was because it enabled the researcher to observe patterns or speech like what
Research and ethical approval to conduct the
study was obtained from the Research Ethics
Committee (REC) of Bishop Stuart University
(REC-BSU-2022-1). This enabled transparency
and verification of the authenticity of the data
collected.
Informed consent was obtained from each study
participant ensuring that no one was forced or
coerced into participating in this study.
Confidentiality was observed by making sure
that the information provided by the research
participants were recorded and analyzed anonymously with no one’s name mention hence protecting their identity and degree of freedom in
participating in the study.
The study avoided fabricating, falsifying, or
misrepresenting research data to promote the
truth. This was done by carrying out data colApril 7, 2023
lections from the intended categories of the respondents, took permission from the authorities
to carry out this data collection and work from
other scholars incorporated in this current study
were duly acknowledge through citations and reference lists.
4. Results
4.1. Socio-cultural factors associated with
the uptake of Covid-19 vaccines
Respondents were asked about the socialcultural factors associated with the uptake of
Covid-19 vaccines. The results were as shown
in table 6 whereby respondents that reported to
always be busy with domestic work indicated a
lower likelihood for uptake of Covid-19 vaccines
(COR = 0.6, 95%CI: 0.40-0.97, p = 0.035). However, factors in the bivariate model with p<0.2
were entered into multivariate model to control
for confounding and interaction as shown in table
7. In the multivariate model (in presence of
other factors) respondents that reported always
busy with work domestic still indicated a lower
likelihood for uptake of Covid-19 vaccines (AOR
= 0.6, 95%CI: 0.40-0.99, p = 0.045).
In in-depth interviews, some responses were
quoted verbatim and in agreement with quantitative information. One respondent said:
“Musawo, time is a problem. There is too much
work waiting for me always and by the time I think
of going to the nearest health centre, it’s already
late” (ID 1)
One other participant indicated transport challenge when it was said:
“I would wish to be vaccinated but transport is
a problem yet the health centre is far” (ID K)
4.2. Socio-economic factors associated with
the Uptake of Covid-19 vaccines
Another objective intended to find out the
social-economic factors associated with the Uptake of Covid-19 vaccines among the students of
Bishop Stuart University. In the bivariate analysis (absence of other factors), respondents who
perceived that Covid-19 was killing people of high
status (it is for the rich people) were less likely
to take Covid-19 vaccines (COR = 0.5, 95%CI:
0.30-0.70, p <0.001) compared to those whose beliefs were different. However, respondents that
perceived that the costs in the hospital were too
high to manage Covid-19 illness (COR = 4.1,
95%CI: 2.58-6.48, p <0.001), those ready to pay
for the vaccines in case the government stops
free medication (COR = 2.8, 95%CI: 1.81-4.33,
p <0.001), Covid-19 as a means to promote digital payments so that governments can track every citizen (COR = 9.0, 95%CI: 5.38-14.91, p
<0.001) and powerful Countries inventing Covid19 to boost their economies (COR = 1.6, 95%CI:
1.06-2.43, p <0.001) were more likely to uptake
of Covid-19 vaccines. The findings are as shown
in table 6. Factors in the bivariate model with
p<0.2 were entered into multivariate model to
control for confounding and interaction. In the
multivariate model (in presence of other factors)
respondents that perceived that the costs in the
hospital were too high to manage Covid-19 illness indicated a higher likelihood for uptake of
Covid-19 vaccines (AOR = 3.4, 95%CI: 1.93-6.12,
p <0.001) as shown in table 7 compared to those
who perceived managing Covid-19 illness in the
hospital to be manageable.
In in-depth interviews, some responses were
quoted verbatim and in agreement with quantitative information. One respondent said:
“I need to first wait and understand this whole
thing called Covid-19 vaccines, the good thing is
that I got a health insurance cover at the work
place of recent” (Interview Z)
“The fact is that vaccination against Covid-19 is
just for employment, why else would I take those
vaccines if not for my job?”(Interview X)
Another respondent said: “As a person, I vaccinated against this virus because even if every family member of mine sells their land, I can’t raise
the money to pay in the hospital in case I get the
virus. Okwerinda nikukira okutambirwa” (interview S).
4.3. Religious factors associated with the
uptake of Covid-19 vaccines.
The last objective of the study was to examine
the religious factors associated with the uptake of
April 7, 2023
Covid-19 vaccines among the students of Bishop
Stuart University. The responses from the participants were recorded as shown in table 6. In
the bivariate analysis (absence of other factors),
respondents that perceived that they had trust in
God, and that He would heal them from the virus
were less likely to uptake Covid-19 vaccines (COR
= 0.1, 95%CI: 0.09-0.23, p <0.001). However, respondents that reported that their pastor/church
leader told them that Covid-19 was fake, so they
had no fear for it (COR = 3.2, 95%CI: 2.08-4.92,
p <0.001) and those that perceived that Covid19 came to strengthen family prayer which was
almost weakening COR = 1.7, 95%CI: 1.11-1.61,
p = 0.015) were more likely to uptake Covid-19
vaccines.
All factors with p<0.2 were entered into multivariate model.
In the multivariate model (in presence of other
factors), respondents that perceived that Covid19 came to strengthen family prayer which was
almost weakening and these were more likely to
uptake of Covid-19 vaccines (AOR = 1.6, 95%CI:
0.35-0.91, p = 0.018) as shown in table 7.
Quoted verbatim, one respondent said:
“This Covid-19 thing reminds me of slave trade,
do you know that even right now, the super power
countries that no longer have beliefs in God are
the ones behind this virus? They didn’t want believers to go to churches to pray and our president
and the friends rushed to close churches without
any thought about the reason behind” (Respondent
G)
“My God is bigger than the medicines for Covid19. At the end of the day, you will come back and
tell me that it was all scam” (Respondent Y)
“Covid-19 was invented and that these inventors were Anti-Christ, wanted churched closed and
forced the presidents to close these churches in the
name of fighting the virus” (Respondent Z).
5. Discussion:
5.1. Socio-cultural factors associated with the uptake of Covid-19 vaccines
The study established that respondents that reported always busy with domestic work indicated
a lower likelihood for uptake of Covid-19 vaccines.
These findings are in agreement with the findings
of Tavolacci et al., (2021) whereby being a woman
had a significant relationship in COVID-19 Vaccine acceptance, hesitancy, and resistance among
University Students in France. These findings also
are in agreement that the cultural norms associated with being a male or female had impacted on
the decision to take Covid-19 vaccines and these
findings are closely related to the findings of Ciarambino, et al., (2021) who found out that sex
and gender impacted acceptance of, responses to,
and the outcome of vaccination.
In reality, women are more associated with
domestic work than men especially in African
countries. This would possibly indicate that if
the myths, norms, lifestyles, values, sexuality,
attitudes and beliefs surrounding Covid-19 vaccines were well addressed (through sensitization,
psycho-education, content studied in class, literature about Covid-19), there was a likelihood of
many students getting vaccinated against Covid19.
In practical terms, this means that women are
not only left out in health related programs but
also drained by everyday domestic activities. This
may not only hinder development but also act as
a setback for the government programs.
5.2.
Socio-economic factors associated
with the Uptake of Covid-19 vaccines
The study established the high costs in the hospital for the management of Covid-19 illness was
associated with the uptake of Covid-19 vaccines
among the students of Bishop Stuart University.
This is in agreement with the study of Saied et al.,
(2021) who also assessed the social-economic status of the respondents as a barrier to the uptake of
Covid-19 vaccines. They found out among those
with low social-economic status, 39.1% accepted
Covid-19 vaccines, 43.9% were hesitant and 20.3%
refused to be vaccinated against Covid-19. 35.4%,
40.9% and 18.1% were reported among those respondents whose social-economic status was average to have accepted, hesitated and refused to be
vaccinated with Covid-19 Vaccines while 37.6%,
46.6% and 22.0% of the respondents had high
April 7, 2023
Table 4: Showing a bivariate analysis of the factors associated with the uptake of Covid-19 vaccines among the students
of Bishop Stuart University
Variables
SocioAlways busy with
cultural
domestic work
factors
Overall
n(%)
Uptake of Covid-19 vaccines
Yes, n (%)
No, n
(%)
No 139 (37.6) 89 (42.2)
50 (31.4)
Yes 231 (62.4) 122 (57.8) 109 (68.6)
Lack of support and
facilitation from
partners/parents
the safety and
effectiveness of
Covid-19 vaccines
Covid-19 vaccines
cause infertility in
women.
Covid-19 is for the
rich people
No 70 (18.9) 35 (16.6)
Yes 300 (81.1) 176 (83.4)
35 (22.0)
124 (78.0)
No 69 (18.6) 34 (16.1)
Yes 301 (81.4) 177 (83.9)
35 (22.0)
124 (78.0)
No 105 (28.4) 66 (31.3)
Yes 265 (71.6) 145 (68.7)
39 (24.5)
120 (75.5)
No 168 (45.4) 113 (53.6)
Yes 202 (54.6) 98 (46.4)
55 (34.6)
104 (65.4)
High hospital costs
Sociofor Covid-19 illness
economic
factors
paying for the
vaccines is better
than rushing
Promoting digital
payments, no
Covid-19
No 219 (59.2) 96 (45.5)
Yes 151 (40.8) 115 (54.5)
123 (77.4)
36 (22.6)
No 136 (36.8) 56 (26.5)
Yes 234 (63.2) 155 (73.5)
80 (50.3)
79 (49.7)
No 213 (57.6) 79 (37.4)
Yes 157 (42.4) 132 (62.6)
134 (84.3)
25 (15.7)
Boosting economies
No 187 (50.5) 96 (45.5)
Yes 183 (49.5) 115 (54.5)
91 (57.2)
68 (42.8)
God is a healer
No 155 (41.9) 127 (60.2)
Yes 215 (58.1) 84 (39.8)
28 (17.6)
131 (82.4)
No 180 (48.6) 77 (36.5)
Yes 190 (51.4) 134 (63.5)
103 (64.8)
56 (35.2)
No 220 (59.5) 114 (54.0)
Yes 150 (40.5) 97 (46.0)
106 (66.7)
53 (33.3)
Religious
factors
Pastor’s influence
Strengthening family
prayer
Crude
p-value
OR
(95%CI)
1
0.6(0.400.97)
1
1.4(0.842.39)
1
1.5(0.872.48)
1
0.7(0.451.14)
1
0.5(0.300.70)
1
4.1(2.586.48)
1
2.8(1.814.33)
1
9.0(5.3814.91)
1
1.6(1.062.43)
1
0.1(0.090.23)
1
3.2(2.084.92)
1
1.7(1.111.61)
0.035*
0.188
0.151
0.155
<0.001*
<0.001*
<0.001*
<0.001*
0.026*
<0.001*
<0.001*
0.015*
April 7, 2023
Table 5: showing a multivariate analysis of the factors associated with the uptake of Covid-19 vaccines among the
students of Bishop Stuart University
Variables
No
Yes
Lack of support and facilitation from No
partners/parents
Yes
Limited knowledge about the safety
No
and effectiveness of Covid-19 vaccines Yes
Covid-19 vaccines cause infertility in No
women.
Yes
No
Covid-19 is for the rich people).
Yes
High hospital costs for Covid-19
No
illness.
Yes
Promoting digital payments, no
No
Covid-19
Yes
Paying for the vaccines is better than No
rushing.
Yes
No
Boosting economies
Yes
No
God is a healer
Yes
No
Pastors’ influence
Yes
No
Strengthening family prayer.
Yes
Always busy with domestic work
Sociocultural
factors
Socioeconomic
factors
Religious
factors
social-economic status and accepted, hesitated
and refused to be vaccinated against Covid-19 respectively. There was a high possibility that costs
of health care were associated with the uptake
of Covid-19 vaccines. This would possibly mean
that respondent’s work experience and economic
access to resources and social positions need maximum attention for an increase in these factors
means increase in the uptake of Covid-19 vaccines
and the reverse is true. This might explain why
those who had a health insurance cover said that
in case he could get the virus, he could manage the
bills so they needed not to hurry to get vaccinated
against Covid-19 without first understanding the
whole process.
The results of this study, in an in-depth inter-
AOR
(95%
CI)
1
0.6(0.40-0.99)
1
1.5(0.87-2.58)
1
1.4(0.80-2.36)
1
0.8(0.47-1.23)
1
0.1(0.02-2.17)
1
3.4(1.93-6.12)
1
2.2(0.98-5.14)
1
0.7(0.39-1.20)
1
1.5(0.66-4.42)
1
0.3(0.13-2.46)
1
1.5(0.74-3.24)
1
1.6(0.35-0.91)
p-value
0.045*
0.142
0.246
0.265
<0.062
<0.001*
0.057
0.188
0.065
<0.001*
0.248
0.018*
view, established that vaccination against Covid19 acted as a job security as they had to be
vaccinated to secure the job. This study does
not contradict the findings of the study carried
out by Alqudeimat et al., (2021) on Acceptance
of a COVID-19 Vaccine and its related determinants among the general adult population in
Kuwait which found out that those earning less
than 1,000KWD had more acceptance of Covid19 vaccines (56.2%) than those earning more than
3,000KWD. Like it was found out in adult of
Kuwait, the students of Bishop Stuart University
had much reverence for Covid-19 vaccines because
it was necessary for them to be vaccinated to be
able to work. This means that being employed
(employment) was possibly associated with the
April 7, 2023
uptake of Covid-19 vaccines among the students
of Bishop Stuart University.
5.3. Religious factors associated with the uptake
of Covid-19 vaccines
Finally the study also examined the religious
factors associated with the uptake of Covid-19
vaccines among the students of Bishop Stuart
University. It was indicated that respondents that
perceived that they had trust in God, and knew
He would heal them from the virus indicated a
lower likelihood for uptake of Covid-19 vaccines.
Besides, respondents that perceived that Covid19 came to strengthen family prayer which was
almost weakening were more likely to uptake of
Covid-19 vaccines. This confirms what Tadros
and Thomas, (2021), said, that religious minority affiliation or status can play a very important
role in influencing people’s access to vaccines as
well as their willingness to undergo vaccination
especially as they apply to Covid-19 vaccination.
It’s possible that this could mean that religious
factors played a role in the decisions of students
of Bishop Stuart to be vaccinated with Covid-19
vaccines. This means that a member of a particular faith community was core in the respondents’
core identity.
It was found out in this study that some respondents believed that Covid-19 was invented
and that these inventors wanted churched closed
and forced the presidents to close these churches
in the name of fighting the virus. Affirmatively,
the study by Ossai (2021) affirms Covid-19 as antichrist. This is very unusual as people can attribute disease to faith, norms and beliefs of their
religions and their unverifiable perception. The
researcher maintains that such beliefs can possibly be misleading and though there was fear about
the vaccine at its inception, however the rate of
death would have changed their minds still not
all received the vaccines as the study established
there is just a moderate number that has been
vaccinated.
6. Conclusion
Domestic work has been found out to hinder
the majority of the respondents from vaccinat-
ing against Covid-19. High rates of the uptake
of Covid-19 vaccines were registered among those
who feared the high costs of Covid-19 illness management in hospitals. The cultural norms associated with being a male or female, therefore, had
impacted on the decision to take Covid-19 vaccines.
7. Limitations
The researcher faced some challenges such late
clearance to go for data collection.
Time was another factor to make sure the study
was conducted and completed within the time
frame.
Financial resources were a challenge to the
study and it never received any external funding
or donation of any kind.
8. Recommendation
The study recommends that the institution
should strive to make sure their students are informed and encouraged to take the Covid-19 vaccines and the boosters for their benefits and abandon their religious, social-economic, social- cultural norms and support the fight against the
deadly Covid-19.
Community outreaches should be organized to
sensitize communities about the dangers of domestic work and how to strike a balance when it
comes to daily activities. This will in return lead
to high return rates for Covid-19 vaccination.
9. Acknowledgement
We acknowledge the financial support of Mr.
Akimpaye Evariste towards, tuition clearance,
data collection activities and other financial expenses in relation to this study. We also thank
the Bishop Stuart University’s Research Ethics
Committee-REC for reviewing the study protocol and providing the ethical clearances required
to conduct the study. We appreciate the contribution of the respondents for availing the data that
brought us all this far.
April 7, 2023
10. List of Abbreviations
BSU: Bishop Stuart University
COVID-19: Coronavirus disease
HBM: Health Belief Model
SARS-COV-2: Severe acute respiratory syndrome coronavirus 2
WHO: World Health Organization
11. Source of funding
The study was funded by Mr. Akimpaye
Evariste. Akimpaye had no role in the study
design, data, collection and analysis, decision to
publish, or preparation of the manuscript.
12. Conflict of interest
The authors declare that there was no conflict
of interest.
13. Publisher details:
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Author biography
Mary Jesenta Ngabirano ary Jesenta Ngabirano is currently a student of Public Health at
the department of Public Health and Biomedical
Studies under the faculty of Nursing and Health
Sciences at Bishop Stuart University.
Francis Kazibwe Senior Lecturer at the department of Public Health and Biomedical Studies under the Faculty of Nursing and Health Sciences of
Bishop Stuart University.
Ronald Bahati Administrator, Research Ethics
Committee – REC of Bishop Stuart University
April 7, 2023
Bright Laban Waswa Lecturer and Head of Department of Publich Health and Biomedical Sciences under the Faculty of Nursing and Health
Sciences
Wycliffe Tumwesigye Lecturer and Head of
Department of Agriculture under the Faculty of
Agriculture, Environmental Sciences and Technology.
April 7, 2023