Skip to main content
Download PDF

Coronavirus disease 2019 vaccination acceptance and associated factors among residents of Dire Dawa Administration, Eastern Ethiopia: a community-based cross-sectional study

BMC Infectious Diseases volume 24, Article number: 689 (2024) Cite this article

Abstract

Background

Corona virus disease 2019 (COVID-19) is an extremely contagious viral infection caused by the severe acute respiratory syndrome coronavirus 2. Understanding the willingness of the community to receive the COVID-19 vaccine will help in the development and implementation of effective COVID-19 vaccination promotion programs. Therefore, we aimed to assess the level of COVID-19 vaccine acceptance and associated factors among residents of Dire Dawa Administration, Eastern Ethiopia.

Methods

A community-based cross-sectional study was conducted among 840 residents in Dire Dawa Administration from May 18th to June 18th, 2021. Multistage cluster sampling followed by systematic random sampling was used to select respondents. A pretested interviewer-administered structured questionnaire was used to collect the data from respondents. Bivariable and multivariable logistic regression were used to identify predictors of COVID-19 vaccine acceptance. The odds ratio (OR), along with a 95% confidence interval (CI), was used to estimate the strength of the association.

Results

Out of 840 respondents recruited, the proportion of COVID-19 vaccine acceptance was found to be 54.4% (457/840); (95% CI: 51.0%, 57.7%) Being male [AOR = 1.85, 95% CI: (1.35, 2.54), P < 0.001], not having a current habit of substance use [AOR = 2.38, 95% CI: (1.73, 3.26), P < 0.001], having a monthly income of less than 51.31 USD [AOR = 0.19, 95% CI: (0.04, 0.88), P = 0.001]; and not having a prior history of vaccination experience [AOR = 0.40, 95% CI: (0.29, 0.54), P < 0.001] were significantly associated with COVID-19 vaccine acceptance.

Conclusion

This study reveals that the proportion of COVID-19 vaccine acceptance among residents of Dire Dawa Administration, Eastern Ethiopia, was 54.4%. Factors like being male and not having a current habit of substance use were positively associated, whereas having a monthly income of less than 51.31 USD and not having a prior history of vaccination experience were negatively associated with COVID-19 vaccine acceptance. Health information dissemination and economic empowerment are crucial to improving COVID-19 vaccine acceptance among the community. This study provides valuable data for policymakers to plan early vaccination programs and tackle the challenges identified in the study.

Peer Review reports

Background

The novel coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A SARS-CoV-2 infection has been associated with a wide spectrum of illnesses that range from asymptomatic, mild to severe, or fatal [1]. To curb the spread of the virus and mitigate its health effects, different control measures have been implemented, such as wearing a face mask in public, social distancing, avoiding large gatherings, minimizing touching of the eyes, nose, and mouth, and washing hands often with soap and water [2].

Although such control measures have helped to curb the spread of the virus, the resurgence of the virus has been reported as people are not adhering to control measures, and economies and societies have reopened. Hence, there is an urgent need for long-term preventive measures [3]. The Royal Society and the British Academy which stated that a community-level vaccine coverage of 80+% will be required to protect the community from infection, dependent on the vaccine efficacy and duration of protection. However, it might be difficult to achieve these levels of vaccination coverage because of well-documented misinformation about vaccines across the world [4].

Furthermore, multiple factors influence vaccine acceptance, including safety concerns, the effectiveness of vaccines, perceived benefits of the vaccine, the susceptibility of individuals to COVID-19 infection, and the compatibility of vaccination with religious beliefs [5,6,7]. There has been widely circulating false information about the COVID-19 pandemic on social media. These include that the virus is linked with 5G mobile networks that the viral pandemic is a bio-weapon, and that vaccine trial participants have died after taking the vaccine. Such misleading data increases people’s anxieties, sows uncertainty about novel vaccinations, and restricts public acceptance of COVID-19 vaccinations [8,9,10].

Previous studies report the following factors as being significantly associated with COVID-19 vaccine acceptance in low-income countries including Ethiopia: Age, residence, gender, educational attainment, employment status, marital status, religion, profession, mass media, substance use, receiving any vaccination during childhood, and family members [11,12,13,14,15,16].

A COVID-19 vaccine has been hoped as the ultimate solution needed to end the COVID-19 pandemic. Studies pointed out that the health benefits of approved COVID-19 vaccines are undermined by hesitancy from populations to be vaccinated [17]. Community-level vaccine coverage of 80–90% is required to protect the community from the infection. Yet surveys emerging from diverse contexts illustrate widespread hesitance towards COVID-19 vaccines, with large differences between and within countries [18].

Currently, in Ethiopia, the Ministry of Health (MOH) has started providing AstraZeneca vaccines on March 6, 2021, with priority for front-line health workers and support staff, the elderly with underlying conditions, and other high-risk groups. Nevertheless, there was a paucity of information about the acceptance of a potential COVID-19 vaccine and associated factors among residents in Dire Dawa Administration, Eastern Ethiopia. Therefore, in this study, we sought to assess the acceptance of a potential COVID-19 vaccine and identify factors that influence its acceptance among the adult population in Dire Dawa, Eastern Ethiopia. The findings of this study would help public health experts at both regional and federal levels develop health messages on these factors to improve COVID-19 vaccine acceptance.

Methods and materials

Study setting

Dire Dawa Administration is located 515 km away from Addis Ababa to the east. There are 9 urban kebeles and 38 rural kebeles in the Dire Dawa Administration (Kebele is the smallest administrative unit in the district of Ethiopia). It has attained complete access to primary health care. In terms of health care facilities, the administration has two governmental and four private hospitals, eight health centers, five high-level clinics, and twelve medium-sized clinics. The metro area population of the Dire Dawa administration in 2021 is 526,000, of which the adult population (age ≥ 18 years) accounts for 322,966. The estimated adult populations (≥ 18 years) who reside in urban and rural kebeles were 220,360 (68.2%) and 102,606 (31.8%), respectively. (Dire Dawa Administration Annual Report, 2020/21).

Study design and subjects

A community-based cross-sectional study was conducted in the Dire Dawa Administration from May 18th to June 18th, 2021. All volunteer permanent residents (age ≥ 18 years) of the Dire Dawa Administration were the source population. All randomly selected volunteer permanent residents (age ≥ 18 years) of the Dire Dawa Administration were the study population. Residents with the following conditions were excluded from the study: individuals who were seriously ill during data collection, individuals having psychiatric problems, individuals who hadn’t resided in the study setting for at least 6 months, and individuals who had already been vaccinated.

Sample size determination and sampling techniques

Sample size was computed using EPi info, considering COVID-19 acceptance, population size (since the estimated number of adults was assumed to be > 10,000), expected frequency = 53.6, [19] confidence limits = 5%, confidence level = 95%, DE = 2, and number of clusters (9 urban kebeles and 38 rural kebeles) = 47, which yielded a sample size of 799. Considering a 5% non-response rate, the final sample size was 840. Of the 9 urban kebeles and 38 rural peasants in Dire Dawa, 3 urban kebeles and 11 rural kebeles were selected using a multistage cluster sampling method. Initially, the study clusters were stratified into urban and rural areas. Then it was stratified into randomly selected clusters. Then, the sample size was proportionally allocated to each cluster, and residents were selected using systematic random sampling, with a K value calculated for each cluster. From the specific households selected, only one randomly selected eligible individual was interviewed. If a respondent was absent during the interview, the house of the absent respondent was revisited the next day.

Data collection tools and methods

Pretested interviewer-administered structured questionnaires were used to collect the data. The tool was adapted from previously published studies, and all the co-variates were included from previous studies [11,12,13, 20]. The questionnaires were comprised of different sections: socio-demographic characteristics, general health status, personal and close experience with COVID-19 infection, previous vaccination experiences, and attitude toward COVID-19 vaccination. Data were collected by 14 trained registered nurses and four supervisors. The data collectors filled out the interviewer-administered surveys on pencil and paper. Study participants were invited to participate by knocking their doors but safety precautions toward COVID-19 prevention were taken during the data collection process. All data collectors and supervisors strictly adhered to the WHO and national standards for COVID-19 prevention protocols. The data collectors wore face masks, gloved their hands, maintained distance, and sanitized their hands between each interview.

Data quality control

The questionnaire was prepared in English and translated into ‘Amharic’ and ‘Afan Oromo’ local languages. Then, it was back-translated into English by another fluent speaker to ensure consistency. To maintain the quality of the data, training was given to data collectors and supervisors on the objectives of the study, data collection instruments, and principles of research ethics before the data collection process. The questionnaire was pretested on 5% of the total sample size of participants (42 respondents) in the non-selected setting, and then necessary amendments were made. Each filled-out questionnaire was checked for completeness onsite by the supervisors, and necessary feedback was offered to the data collectors. Close supervision was conducted by investigators.

Study variables and operational definitions

Family income was classified based on the African Development Bank definition [20].

To assess the level of COVID-19 vaccine acceptance, a yes-or-no question was asked: will you get vaccinated if the COVID-19 vaccine is available? It scored 0 and 1 (0 = no, 1 = yes).

There were nine questions to assess personal or close COVID-19 exposure, and each was scored between 0 and 1 (0 = no, 1 = yes). Those who scored less than the mean (less than 4.5 points) were assigned to have a lower COVID-19 exposure risk, whereas those who answered greater than or equal to 4.5 were assigned to have a higher COVID-19 exposure risk.

There were six questions to assess the attitude toward COVID-19 vaccine acceptance. The score of the attitude was based on a five-point Likert scale, on which a score of one to five was given, from strongly disagreeing to strongly agreeing. The total score was calculated by summing the raw scores of the six questions, with the composite score ranging between 6 and 30, with an overall greater score indicating more positive attitudes towards the COVID-19 vaccine.

Data processing and analysis

Data were coded, checked, and entered into Epidata version 4.6; then, it was exported to SPSS version 26 for data analysis. Frequencies, percentages, median, and interquartile range (IQR) were used to summarize the study subjects. Concerning attitudes towards COVID-19 vaccine acceptance, a reliability analysis was conducted to see the interitem correlation, and Cronbach’s alpha was found to be 0.89. A cumulative mean and individual item mean were calculated, and a one-sample t-test was run to examine the participant’s attitude. The normality distribution of the data was assessed using the Kolmogorov-Smirnov test at a P-value of 0.05. Multi-collinearity was also checked to see the correlation between each independent variable, and the highest collinearity among all independent variables was 0.19, which was below the cut-off value. It showed that there were no interactions among independent variables.

Bivariable and multivariable logistic regression analyses were used to identify factors affecting COVID-19 vaccine acceptance. Variables with a p-value of < 0.25 in the bivariable regression analyses were included in the multivariable logistic regression analysis to adjust for all potential confounding effects [21,22,23,24,25]. Covariates included the following: sex of the respondents, marital status, occupation, family monthly income, the current habit of substance use, personal or close COVID-19 exposure, and previous other vaccination experiences. The odds ratio (OR), along with a 95% confidence interval (CI), was used to estimate the strength of the association between predictors and COVID-19 vaccine acceptance. Variables with a p-value of < 0.05 were considered statistically significant. The Hosmer and Lemeshow tests were used to check model fitness at a P-value of > 0.05.

Ethical considerations

The research protocol was approved by the Research Ethics Review Committee of Dire Dawa University. A permission letter was obtained from the Dire Dawa Administration. A permission letter for data collection was also obtained from the respective kebele administrators. The method was conducted in accordance with the relevant tenets of the Helsinki Declaration. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement guideline was used for reporting observational studies. The principles of Helsinki Declaration (2013) were sticked to keep the privacy, confidentiality and safety of the study participants [26]. Informed consent was obtained from each participant. Participants were informed that they had the right to withdraw from the study at any point during data collection. The privacy of participants was maintained by interviewing in isolated areas. Confidentiality of the data was assured by the anonymity of questionnaires, and they were kept in a locked cabinet. Participants were interviewed following the COVID-19 prevention protocol. Face masks were given to data collectors and study participants before the interview took place. At the end of the interview, the data collectors shared health information about COVID-19 prevention and vaccination to the study subjects.

Results

Socio-demographic and economic characteristics of the study participants

A total of 840 respondents participated in this study, with a response rate of 100%. The median age of respondents was 30 years old, varying from 18 to 72 years, with an IQR of 25–35 years. Of the total participants, the highest proportion, 766 (91.2%), were under 45 years old. 428 (51%) were females, 495 (59.2%) were married, while 390 (46.4%) were government employed. The highest proportion of participants resided in urban setting 548 (65.2%), and attained college and above, 414 (49.3%). Of the respondents, 498 (59.2%) of the participants belongs to middle family income, who had a monthly income of between 51.41 and 513.75. (Table 1)

Table 1 Socio-demographic and economic characteristics, health related factors, COVID-19 exposure experience and previous vaccination experience of residents in dire Dawa Administration, Eastern Ethiopia, 2021 (N = 840)
Full size table

Health-related factors of the study participants

The highest proportion, 725(86%) of the respondents had no known chronic medical illnesses, while very few respondents had reported of having diabetes mellitus (2.9%), hypertension (3.3%), chronic renal disease (1.2%), chronic respiratory disease (0.7%), heart disease (0.5%), cancer (0.2%) and HIV/AIDS (4.5%). Two hundred nine (24.9%) of the respondents reported they drank alcohol, while 130 (15.5%) and 269 (32.0%) reported current cigarette smoking and khat chewing respectively. (Table 1).

COVID-19 exposure experience of the study participants

Among the study participants, 50 (6.0%) of the respondents had been tested positive for COVID-19, while 20 (2.4%) of the respondents reported that they were hospitalized because of COVID-19, and 203 (24.2%) of the respondents reported that they had family or close friends infected with COVID-19. Similarly, 354 (42.1%) of the respondents reported that they had known someone infected with COVID-19. Besides these, 282(33.6%) of the respondents reported that they were exposed to someone infected with COVID-19. Furthermore, 133 (15.8%) of the respondents reported that they had family or close friends who died of COVID-19, in addition 518 (61.7%) of the respondents reported that they knew someone who died of COVID-19 (Table 1).

Previous vaccination experience among the study participants

Concerning previous vaccination experiences, 232(27.6%) of the respondents had a history of hepatitis B vaccination, 395(47.0%) and 275 (32.7%) of the respondents had a history of vaccination against tetanus and meningococcus (Table 1).

Proportion of COVID-19 vaccine acceptance among the study participants

The proportion of COVID-19 vaccine acceptance was found to be 54.4%; (95% CI: (51, 57.7), whereas those who didn’t accept the COVID-19 vaccine were found to be 45.6%; (95% CI: 42.3, 49).

Attitude toward Covid-19 vaccine acceptance

The calculated cumulative mean score showed that participants were not in favor of the presented items, with a mean of 2.96 at 95% CI: (-0.34, -0.17) (t (839) =-1.089, p-value < 0.001). Specifically, participants were not in favor of the vaccine in preventing COVID-19 (t (839) = -5.985, p-value < 0.001). Similarly, participants were not in favor of vaccination effectiveness (t (839) =-4.307, p < 0.001). Participants’ attitudes were also assessed with the question “If I get the vaccine, I will be less likely to get COVID-19,” and they were found to be negative (t (839) =-3.316, p 0.001). We also assessed if the COVID-19 vaccine protects the community from COVID-19 infection and found that the participants do not perceive it protects community health (t(839) =-5.33, p-value < 0.001). Participants’ attitudes toward vaccine safety were also assessed, and they revealed that they do not favor vaccine safety (t(839) =-3.599, p-value < 0.001). However, participants were not in favor of the “COVID-19 vaccine being easily available’ (t (839) = 41.86, p-value < 0.001) (Table 2).

Table 2 Attitude towards Covid-19 vaccine acceptance among residents of dire Dawa administration, Eastern Ethiopia, 2021 (N = 840)
Full size table

Factors associated with COVID-19 vaccine acceptance

Respondents who were males [AOR = 1.85, 95% CI: (1.35, 2.54), P < 0.001] and who did not have a current habit of substance use [AOR = 2.38, 95% CI: (1.73, 3.26), P < 0.001] were more likely to get vaccinated. On the other hand, respondents having a monthly income of less than 51.31 USD [AOR = 0.19, 95% CI: (0.04, 0.88), P = 0.001]; and not having a prior history of vaccination experience were less likely to get vaccinated [AOR = 0.40, 95% CI: (0.29, 0.54), P < 0.001] (Table 3).

Table 3 Factors associated with COVID-19 vaccine acceptance among residents of dire Dawa administration, Eastern Ethiopia; 2021(n = 840)
Full size table

Discussion

This study reveals that the proportion of COVID-19 vaccine acceptance among residents of Dire Dawa Administration, Eastern Ethiopia, was 54.4%. Being male, having a lower income in the family, not having a current habit of substance use, and not having previous vaccination experience were factors associated with COVID-19 vaccine acceptance.

The level of COVID-19 vaccine acceptance was found to be 54.4% in this study, which was higher than studies conducted in other parts of Ethiopia like among pregnant women who came for antenatal care service in the selected public health facilities Southwest Ethiopia (31.3%), among school teachers in Gonder city, Northwest Ethiopia (40.8%), among health professionals in Debre Tabor Comprehensive Specialized Hospital, North Central Ethiopia (42.3%), among community in Sodo town, Wolaita zone, southern Ethiopia (45.5%), and among health care workers in public hospitals in Kaffa zone and Bench-Sheko zone, Southwest Ethiopia (48.4%) [14,15,16, 27, 28].

But, it was lower than a study conducted among community in Gurage zone in Southern Ethiopia (62.6%), among university students in Northeast Ethiopia (69.3%), online survey conducted among health workers in Ethiopia (72.2%), among pregnant women attending antenatal care clinics, Southwest Ethiopia (70.7%), among patients with chronic disease in Northeastern Ethiopia (59.4%), among residents in Addis Ababa (80.93%) [29,30,31,32,33,34]. While, the findings of this study 54.4%; (95% CI: (51.0%, 57.7%), is actually comparable to the findings from the SRMA (56.02%) [35].

However, the current study’s findings was higher than of studies conducted in Cameroon (15.4%), Democratic Republic of Congo (25.3%), Uganda (37.3%), Nigeria (40.5%), and Ghana (39.3%) [36,37,38,39,40]. Additionally, the current study’s finding is higher than a systemic review and meta-analysis carried out in Africa (48.93%) [41].

Compared to other countries already mentioned, the higher rate of vaccine acceptance in Ethiopia could be attributed to the country’s proactive efforts in scaling up vaccination campaigns, deploying a large number of vaccinators, and ensuring the availability of a significant number of vaccine doses to reach a broader population base. Additionally, Ethiopia has received substantial support from international organizations like the World Bank, which has provided financial assistance to enhance the country’s vaccination efforts, particularly in rural areas and communities affected by conflicts. Nevertheless, our finding (54.4%.) was lower than the studies done in other countries like India (79%), Malaysian (83.3%) China (91.3%) and USA (75%) [42,43,44,45]. The possible explanation could be, in contrast, Malaysia and the United States have higher vaccine coverage rates than Ethiopia due to a combination of factors, including higher vaccine acceptance rates, better healthcare infrastructure and resources, and more effective vaccine communication and outreach strategies.

In our current study, we found that males were 1.85 times more likely to get vaccinated against the COVID-19 vaccine as compared to female respondents. This study agreed with studies conducted in Sodo Town [16]. Similarly, the present study’s findings agreed with studies carried out in Kuwait, [13] Philadelphia, [46] and the USA [47]. This may be due to the reason that women might show varying levels of COVID-19 vaccine hesitancy for several reasons. Some women express concerns about how COVID-19 vaccines may affect conception, pregnancy, and breastfeeding, influenced by warnings issued by health authorities in some countries. Additionally, women may rely more on online social networks for health information, where misinformation about COVID-19 and vaccines spreads, contributing to vaccine hesitancy. Nevertheless, it disagreed with studies conducted in Bangladesh [48], in which females were more willing to receive COVID-19 vaccines compared to their counterparts.

The current study also revealed that respondents with lower family monthly incomes were 81% less likely to get vaccinated than those with higher monthly incomes. This finding agreed with the study done in Bangladesh [48], Japan, [49] England, [50] and the USA [51]. A global survey regarding COVID-19 vaccine acceptance in 19 countries with 13,426 respondents also found less vaccine acceptance among participants with low income [52]. Concerns about vaccine cost and availability were the most common reasons given for vaccine hesitancy among low-income respondents. Policy initiatives focused on access barriers and vaccine costs will need to be coupled with communication efforts to make sure that those who need them are aware of the options available to them.

In this study, it was found that respondents who had no current habit of substance use (like cigarette smoking, alcohol, or khat) were 2.38 times more likely to get vaccinated compared to those with a current habit of substance use, which indicated that current substance users were more vaccine-hesitant than current substance non-users. A survey conducted among UK adults also found that current cigarette smokers held a negative attitude towards the COVID-19 vaccine, and were more likely to be unwilling to vaccinate against it, compared with never and former smokers [53].

The current substance users reported the greatest level of mistrust in the benefits of vaccines, worries about vaccine safety, fear of vaccines reverting to diseases, and preference for natural immunity. There is potential to address the vaccination intention gap through increasing awareness of the benefits of vaccination and correcting any potential misconceptions about the vaccine. Similarly, the current study’s finding agreed with a longitudinal study conducted in the USA, in which the use of cigarettes, marijuana, and heavy drinking alcohol was not associated with COVID-19 vaccine hesitancy [54].

In our study, respondents who had no prior vaccination experience like hepatitis B virus vaccine, meningococcal vaccine, or tetanus toxoid vaccine were 60% less likely to get vaccinated against COVID-19 than those who had prior vaccination experience, which showed that respondents with previous vaccination experience were more willing to vaccinate against COVID-19 than those who had no prior vaccination experience. This finding agreed with the study carried out in Kuwait, [13] Slovenia, [55] and Israel, [56] which showed participants who had previously received influenza vaccine were more likely to accept the COVID-19 vaccine compared to those who had not been vaccinated.

This study provides valuable data for policymakers to plan vaccination programs and tackle the challenges identified in the study. So based on this finding the following recommendations can be made:

  • Develop targeted communication strategies that address the concerns and misconceptions about COVID-19 vaccines among populations with lower vaccine acceptance rates, such as those with lower monthly incomes and those without a prior history of vaccination experience.

  • Improve access to COVID-19 vaccines in communities with lower vaccine acceptance rates, such as low-income communities, by providing free or low-cost vaccines and increasing the availability of vaccines in community health centers and other accessible locations.

  • Leverage the influence of trusted community leaders, such as religious leaders, community health workers, and local celebrities, to promote COVID-19 vaccine acceptance and address concerns and misconceptions about vaccines.

  • Address substance use and vaccination: Address the relationship between substance use and vaccination by providing education and resources to individuals with substance use disorders about the importance of vaccination and the potential risks of vaccine refusal.

  • Monitor vaccine acceptance rates over time and adjust communication strategies and outreach efforts as needed to address changes in vaccine acceptance rates and emerging concerns and misconceptions about vaccines.

  • Address social determinants of health, such as poverty and lack of access to healthcare, that contribute to lower COVID-19 vaccination rates in disadvantaged populations.

  • Encourage vaccination among healthcare workers: Encourage vaccination among healthcare workers, who are often seen as trusted sources of information about vaccines, to promote vaccination among patients and the broader community.

  • Continue research on vaccine acceptance: Continue research on vaccine acceptance and the factors that influence vaccine acceptance to inform the development of targeted communication strategies and outreach efforts.

Strength and limitations of the study

This study was conducted in a community-based setting, encompassing both urban and rural residents and a large sample size, suggesting its potential generalizability to similar study settings. Even though, participant’s right were assured while interviewing, assessing coronavirus vaccination acceptance during the pandemic might introduce social desirability bias. To minimize these biases, the study implemented random selection of study participants.

Conclusion

This study reveals that the proportion of COVID-19 vaccine acceptance among residents of Dire Dawa Administration, Eastern Ethiopia, was 54.4%. This finding was found relatively higher than the studies reported from some African countries Factors like being male and not having a current habit of substance use were positively associated, whereas having a monthly income of less than 51.31 USD and not having a prior history of vaccination experience were negatively associated with COVID-19 vaccine acceptance. However, the multidimensional national efforts should be sustained to leverage the vaccine acceptance rate. Considerations to improve adequate health information and access to vaccination service tailored to participant’s demographics, economic assistance, SBCC interventions directed at substance use might improve coronavirus vaccination acceptance.

Data availability

Data related to this manuscript is available on the hand of corresponding author and will be obtained under a reasonable request.

Abbreviations

AOR:

Adjusted Odd Ratio

BSc:

Bachelors of Science

CI:

Confidence interval

COR:

Crude Odds ratio

COVID:

19-Coronavirus Disease 19

FDA:

Food and Drug Administration

IQR:

Interquartile range

WHO:

World Health Organization

SARS:

CoV-2-Severe Acute Respiratory Syndrome Coronavirus 2

SPSS:

Statistical Package for the Social Sciences

UK:

United Kingdom

USA:

United States of America

USD:

United States Dollars

References

  1. Richardson S, Hirsch JS, Narasimhan M, et al. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City Area. JAMA. 2020;323(20):2052–9. https://doi.org/10.1001/jama.2020.6775.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Cirrincione L, Plescia F, Ledda C, et al. COVID-19 pandemic: Prevention and protection measures to be adopted at the workplace. Sustain. 2020;12(9):1–18. https://doi.org/10.3390/SU12093603.

    Article  Google Scholar 

  3. Shimizu K, Wharton G, Sakamoto H, Mossialos E. Resurgence of covid-19 in Japan. BMJ. 2020;370. https://doi.org/10.1136/bmj.m3221.

  4. de Figueiredo A, Simas C, Karafillakis E, Paterson P, Larson HJ. Mapping global trends in vaccine confidence and investigating barriers to vaccine uptake: a large-scale retrospective temporal modelling study. Lancet (London England). 2020;396(10255):898–908. https://doi.org/10.1016/S0140-6736(20)31558-0.

    Article  PubMed  Google Scholar 

  5. Cerda AA, García LY. Factors explaining the fear of being infected with COVID-19. Heal Expect Int J Public Particip Heal care Heal Policy. 2022;25(2):506–12. https://doi.org/10.1111/hex.13274.

    Article  Google Scholar 

  6. Cerda AA, García LY. Hesitation and refusal factors in individuals’ decision-making processes regarding a Coronavirus Disease 2019 Vaccination. Front Public Heal. 2021;9:626852. https://doi.org/10.3389/fpubh.2021.626852.

    Article  Google Scholar 

  7. Larson HJ, Schulz WS, Tucker JD, Smith DMD. Measuring vaccine confidence: introducing a global vaccine confidence index. PLoS Curr. 2015;7:ecurrents.outbreaks.ce0f6177bc97332602a8e3fe7d7f7c. https://doi.org/10.1371/currents.outbreaks.ce0f6177bc97332602a8e3fe7d7f7cc4.

  8. Geldsetzer P. Knowledge and perceptions of COVID-19 among the General Public in the United States and the United Kingdom: a cross-sectional online survey. Ann Intern Med. 2020;173(2):157–60. https://doi.org/10.7326/M20-0912.

    Article  PubMed  Google Scholar 

  9. Pennycook G, McPhetres J, Zhang Y, Lu JG, Rand DG. Fighting COVID-19 misinformation on Social Media: experimental evidence for a scalable accuracy-nudge intervention. Psychol Sci. 2020;31(7):770–80. https://doi.org/10.1177/0956797620939054.

    Article  PubMed  Google Scholar 

  10. Callaghan T, Moghtaderi A, Lueck JA, et al. Correlates and disparities of intention to vaccinate against COVID-19. Soc Sci Med. 2021;272:113638. https://doi.org/10.1016/j.socscimed.2020.113638.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 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 (Granada). 2021;19(1):2276. https://doi.org/10.18549/pharmpract.2021.1.2276.

    Article  PubMed  Google Scholar 

  12. Kabamba Nzaji M, Kabamba Ngombe L, Ngoie Mwamba G, et al. Acceptability of Vaccination Against COVID-19 among Healthcare Workers in the Democratic Republic of the Congo. Pragmatic Obs Res. 2020;11103–9. https://doi.org/10.2147/por.s271096.<\/p>

    Article  Google Scholar 

  13. Alqudeimat Y, Alenezi D, AlHajri Bet al Acceptance of a COVID-19 Vaccine and Its Related Determinants among the General Adult Population in Kuwait.Med Princ Pract. Published online 2021. doi:10.1159/000514636

  14. Hailemariam S, Mekonnen B, Shifera N, et al. Predictors of pregnant women’s intention to vaccinate against coronavirus disease 2019: a facility-based cross-sectional study in southwest Ethiopia. SAGE Open Med. 2021; 9205031212110384doi:https://doi.org/10.1177/20503121211038454

    Article  Google Scholar 

  15. Angelo AT, Alemayehu DS, Dachew AM. Health care workers intention to accept COVID-19 vaccine and associated factors in southwestern Ethiopia, 2021. PLoS ONE. 2021; 16(9 September):1–15doi:https://doi.org/10.1371/journal.pone.0257109

    Article  CAS  Google Scholar 

  16. Mesele M. COVID-19 Vaccination Acceptance and its Associated factors in Sodo Town, Wolaita Zone, Southern Ethiopia: cross-sectional study. Infect Drug Resist. 2021; 142361–2367doi:https://doi.org/10.2147/IDR.S320771

    Article  PubMed  PubMed Central  Google Scholar 

  17. Society TR COVID-19 vaccine deployment: Behaviour, ethics, misinformation and policy strategies.R Soc. 2020;(October):1–35.

  18. Sallam M. COVID-19 Vaccine Hesitancy Worldwide: a concise systematic review of Vaccine Acceptance Rates. Vaccines. 2021; 92160doi:https://doi.org/10.3390/vaccines9020160

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Echoru I, Ajambo PD, Bukenya EM Acceptance and Risk Perception of COVID-19 Vaccine in Uganda: A Cross Sectional Study in Western Uganda.Res Sq. Published online2020:1–11. https://doi.org/10.21203/rs.3.rs-78780/v1

  20. Steven K, Evangelina B. Employment and economic class in the developing world. ILO Res Pap 6. 2013; 53967

    Google Scholar 

  21. Zhang Z Model building strategy for logistic regression: purposeful selection. Annals of Translational Medicine [Internet]. 2016 Mar [cited 2024 Apr 9];4(6):111–111. https://atm.amegroups.org/article/view/9400

  22. Malhotra RK Errors in the use of Multivariable Logistic Regression Analysis: An Empirical Analysis. Indian J Community Med [Internet]. 2020 [cited 2024 Apr 9];45(4):560–2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877407/

  23. Bursac Z, Gauss CH, Williams DK, Hosmer DW Purposeful selection of variables in logistic regression. Source Code Biol Med [Internet]. 2008 Dec 16 [cited 2024 Apr 9];3:17. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2633005/

  24. MICKEY RM, GREENLAND S. THE IMPACT OF CONFOUNDER SELECTION CRITERIA ON EFFECT ESTIMATION. American Journal of Epidemiology [Internet]. 1989 Jan 1 [cited 2024 Apr 9];129(1):125–37. https://doi.org/10.1093/oxfordjournals.aje.a115101

  25. Bendel RB, Afifi AA Comparison of Stopping Rules in Forward Stepwise Regression. Journal of the American Statistical Association [Internet]. 1977 Mar 1 [cited 2024 Apr 9];72(357):46–53. https://doi.org/10.1080/01621459.1977.10479905

  26. WMA. The World Medical Association Declaration of Helsinki – Ethical Principles for Medical Research Involving Human Subjects [Internet]. 2022 [cited 2024 Apr 9]. https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/

  27. Shitu K, Wolde M, Handebo S, Kassie A Correction to: Acceptance and willingness to pay for COVID-19 vaccine among school teachers in Gondar City, Northwest Ethiopia (Tropical Medicine and Health, (2021), 49, 1, (63), 10.1186/s41182-021-00337-9). Trop Med Health. 2021;49(1). doi:10.1186/s41182-021-00354-8

  28. Alle YF, Oumer KE. Attitude and associated factors of COVID-19 vaccine acceptance among health professionals in Debre Tabor Comprehensive Specialized Hospital, North Central Ethiopia; 2021: cross-sectional study. VirusDisease. 2021; 322272–278doi:https://doi.org/10.1007/s13337-021-00708-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Abebe H, Shitu S, Mose A. Understanding of COVID-19 vaccine knowledge, attitude, Acceptance, and determinates of COVID-19 Vaccine Acceptance among Adult Population in Ethiopia. Infect Drug Resist. 2021; 142015–2025doi:https://doi.org/10.2147/IDR.S312116

    Article  PubMed  PubMed Central  Google Scholar 

  30. Taye BT, Amogne FK, Demisse TL, et al. Coronavirus disease 2019 vaccine acceptance and perceived barriers among university students in northeast Ethiopia: a cross-sectional study. Clin Epidemiol Glob Heal. 2021; 12100848doi:https://doi.org/10.1016/j.cegh.2021.100848

    Article  CAS  Google Scholar 

  31. Bereket AG, Georgiana G, Mensur O, et al. Healthcare workers attitude towards SARS-COVID-2 vaccine, Ethiopia. Glob J Infect Dis Clin Res. 2021; 7043–048doi:https://doi.org/10.17352/2455-5363.000045

    Article  Google Scholar 

  32. Mose A, Yeshaneh A. COVID-19 Vaccine Acceptance and its Associated factors among pregnant women attending Antenatal Care Clinic in Southwest Ethiopia: institutional-based cross-sectional study. Int J Gen Med. 2021; 142385–2395doi:https://doi.org/10.2147/IJGM.S314346

    Article  PubMed  PubMed Central  Google Scholar 

  33. Berihun G, Walle Z, Berhanu L, Teshome D. Acceptance of COVID-19 vaccine and determinant factors among patients with chronic Disease Visiting Dessie Comprehensive Specialized Hospital, Northeastern Ethiopia. Patient Prefer Adherence. 2021; 151795–1805doi:https://doi.org/10.2147/PPA.S324564

    Article  PubMed  PubMed Central  Google Scholar 

  34. Tesfaye A, Tamene B, Alemeshet Det al COVID-19 Vaccine hesitancy in Addis Ababa, Ethiopia: A mixed-methods study. medRxiv. Published online 2021:2021.02.25.21252443. https://doi.org/10.1101/2021.02.25.21252443

  35. Mekonnen BD, Mengistu BA. COVID-19 vaccine acceptance and its associated factors in Ethiopia: a systematic review and meta-analysis. Clin Epidemiol Glob Heal. 2022; 14101001doi:https://doi.org/10.1016/j.cegh.2022.101001

    Article  CAS  Google Scholar 

  36. Dinga JN, Sinda LK, Titanji VPK. Assessment of Vaccine Hesitancy to a COVID-19 vaccine in Cameroonian adults and its global implication. Vaccines. 2021; 92175doi:https://doi.org/10.3390/vaccines9020175

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Ngoyi JM, Mbuyu LK, Kibwe DN. Covid-19 vaccination acceptance among students of the higher institute of medical techniques of Lubumbashi, Democratic Republic of Congo. Rev L’Infirmier. 2020; 4248–52

    Google Scholar 

  38. Kanyike AM, Olum R, Kajjimu J, et al. Acceptance of the coronavirus disease-2019 vaccine among medical students in Uganda. Trop Med Health. 2021; 49137doi:https://doi.org/10.1186/s41182-021-00331-1

    Article  PubMed  PubMed Central  Google Scholar 

  39. Eniade OD, Olarinmoye A, Otovwe A, Akintunde FE, Okedare OO, Aniyeloye AO. Willingness to accept COVID-19 vaccine and its determinants among Nigeria citizens: a web-based cross-sectional study. J Adv Med Med Res. 2021; 33013–22doi:https://doi.org/10.9734/jammr/2021/v33i830881

    Article  Google Scholar 

  40. Agyekum MW, Afrifa-Anane GF, Kyei-Arthur F, Addo B Acceptability of COVID-19 Vaccination among Health Care Workers in Ghana. Karimi-Sari H, ed. Adv Public Heal. 2021;2021:9998176. doi:10.1155/2021/9998176

  41. Wake AD. The Acceptance Rate toward COVID-19 vaccine in Africa: a systematic review and Meta-analysis. Glob Pediatr Heal. 2021; 8 doi:https://doi.org/10.1177/2333794X211048738

  42. Bhartiya S, Kumar N, Singh T, Murugan S, Rajavel S, Wadhwani M. Knowledge, attitude and practice towards COVID-19 vaccination acceptance in West India. Int J Community Med Public Heal. 2021; 831170doi:https://doi.org/10.18203/2394-6040.ijcmph20210481

    Article  Google Scholar 

  43. Alwi SARS, Rafidah E, Zurraini A, Juslina O, Brohi IB, Lukas S A survey on COVID-19 vaccine acceptance and concern among Malaysians. Published online 2021 :1-

  44. Wang J, Jing R, Lai X, et al. Acceptance of COVID-19 vaccination during the COVID-19 pandemic in China. Vaccines. 2020; 83 doi:https://doi.org/10.3390/vaccines8030482

  45. Shaw J, Stewart T, Anderson KBet al January. Assessment of U.S. health care personnel (HCP) attitudes towards COVID-19 vaccination in a large university health care system. Clin Infect Dis an Off Publ Infect Dis Soc Am. Published online 2021. doi:10.1093/cid/ciab054

  46. Kuter BJ, Browne S, Momplaisir FM, et al. Perspectives on the receipt of a COVID-19 vaccine: a survey of employees in two large hospitals in Philadelphia. Vaccine. 2021; 39121693–1700doi:https://doi.org/10.1016/j.vaccine.2021.02.029

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Lee C, Holroyd TA, Gur-Arie R, et al. COVID-19 vaccine acceptance among Bangladeshi adults: understanding predictors of vaccine intention to inform vaccine policy. PLoS ONE. 2022; 171 January 20221–12doi:https://doi.org/10.1371/journal.pone.0261929

    Article  CAS  Google Scholar 

  48. Islam MS, Siddique AB, Akter R, et al. Knowledge, attitudes and perceptions towards COVID-19 vaccinations: a cross-sectional community survey in Bangladesh. BMC Public Health. 2021; 2111851doi:https://doi.org/10.1186/s12889-021-11880-9

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Machida M, Nakamura I, Kojima T, et al. Acceptance of a COVID-19 vaccine in Japan during the COVID-19 pandemic. Vaccines. 2021; 93210doi:https://doi.org/10.3390/vaccines9030210

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Bell S, Clarke R, Mounier-Jack S, Walker JL, Paterson P. Parents’ and guardians’ vws on the acceptability of a future COVID-19 vaccine: a multi-methods study in England. Vaccine. 2020; 38497789–7798doi:https://doi.org/10.1016/j.vaccine.2020.10.027

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Shekhar R, Sheikh AB, Upadhyay S, et al. COVID-19 Vaccine Acceptance among Health Care Workers in the United States. Vaccines. 2021; 92 doi:https://doi.org/10.3390/vaccines9020119

  52. Lazarus JV, Ratzan SC, Palayew A, et al. A global survey of potential acceptance of a COVID-19 vaccine. Nat Med. 2021; 272225–228doi:https://doi.org/10.1038/s41591-020-1124-9

    Article  CAS  PubMed  Google Scholar 

  53. Jackson SE, Paul E, Brown J, Dsc AS, Fancourt D Negative Vaccine Attitudes and Intentions to Vaccinate Against Covid-19 in Relation to Smoking Status: A Population Survey of UK Adults.Published online2021:1–6. doi:10.1093/ntr/ntab039

  54. Yang Y, Dobalian A, Ward KD. COVID-19 vaccine hesitancy and its determinants among adults with a history of Tobacco or Marijuana Use. J Community Health Published Online May. 2021; 61–9doi:https://doi.org/10.1007/s10900-021-00993-2

    Article  Google Scholar 

  55. Petravić L, Arh R, Gabrovec T, et al. Factors affecting attitudes towards COVID-19 vaccination: an online survey in Slovenia. Vaccines. 2021; 93 doi:https://doi.org/10.3390/vaccines9030247

  56. Shmueli L Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model.Published online2021:1–13.

Download references

Acknowledgements

First, our thank goes to Dire Dawa University Research and Technology Interchange, College of Medicine and Health Sciences, and all respective Health Bureau, and Kebeles administrators for permitting us to do this study. We would also like to acknowledge the study participants for providing us with the necessary personal information. Last, our thank also goes to data collectors and supervisors for their invaluable contribution to data collection.

First, our thank goes to Dire Dawa University Research and Technology Interchange, College of Medicine and Health Sciences, and all respective Health Bureau, and Kebeles administrators for permitting us to do this study. We would also like to acknowledge the study participants for providing us with the necessary personal information. Last, our thanks also goes to data collectors and supervisors for their invaluable contribution to data collection.

Funding

This work has been funded by Dire Dawa University. But this organization did not involve in designing, analysis, critical review of its intellectual content, preparation of the manuscript and the budget funded by this organization did not include for publication.

Author information

Authors and Affiliations

  1. College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia

    Tafese Dejene Jidha, Endayen Deginet, Bereket Tefera & Mickiale Hailu

  2. Department of Obstetrics & Gynecology, Jimma University Medical Center, Jimma, Ethiopia

    Demisew Amenu

  3. Faculty of Public Health, Jimma University, Jimma, Ethiopia

    Girma Beressa

Authors
  1. Tafese Dejene Jidha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Endayen Deginet
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bereket Tefera
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Demisew Amenu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Girma Beressa
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Mickiale Hailu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

TD is the main author and he was made substantial contributions from the start of the research idea to proposal development, data collection, analysis and interpretation of data and preparation of the manuscript. ED, BT, DA, and GB and, MH: were participated in proposal development, data analysis and preparation of the manuscript for publication. All authors read and approved the final version of the manuscript.

Corresponding author

Correspondence to Mickiale Hailu.

Ethics declarations

Ethics approval and consent to participate

Ethical clearance was obtained from the Dire Dawa University research ethics review committee and consent was obtained for publication. A permission letter was obtained from the Dire Dawa Administration. A permission letter for data collection was also obtained from the respective kebele administrators. The method was conducted in accordance with the relevant tenets of the Helsinki Declaration. Written informed consent was obtained from the study participants involved in the study, and all participants regardless of their literacy were directly asked to consent to participate in the study, having informed all the benefits, risks and rights of participants. Though the study objectives was to assess the perception of participants for Covid-19 vaccination and no further questions were asked which requires participants literacy, we have considered their age as a criterion for autonomy to decide to participate in the study. Participants were informed that they had the right to withdraw from the study at any point during data collection. The privacy of participants was maintained by interviewing in isolated areas. Confidentiality of the data was assured by the anonymity of questionnaires, and they were kept in a locked cabinet.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jidha, T.D., Deginet, E., Tefera, B. et al. Coronavirus disease 2019 vaccination acceptance and associated factors among residents of Dire Dawa Administration, Eastern Ethiopia: a community-based cross-sectional study. BMC Infect Dis 24, 689 (2024). https://doi.org/10.1186/s12879-024-09556-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-024-09556-x

Keywords

BMC Infectious Diseases

ISSN: 1471-2334

Contact us