Research | Volume 40, Article 10, 03 Sep 2021 | 10.11604/pamj.2021.40.10.29816

COVID-19 vaccine hesitancy among healthcare workers and its socio-demographic determinants in Abia State, South-East Nigeria: a cross-sectional study

Chidinma Ihuoma Amuzie, Franklin Odini, Kalu Ulu Kalu, Michael Izuka, Uche Nwamoh, Uloaku Emma-Ukaegbu, Grace Onyike

Corresponding author: Chidinma Ihuoma Amuzie, Department of Community Medicine, Federal Medical Centre Umuahia, Abia State, Nigeria

Received: 12 May 2021 - Accepted: 26 Jul 2021 - Published: 03 Sep 2021

Domain: Infectious diseases epidemiology

Keywords: COVID-19, Vaccine Hesitancy, healthcare workers, Pandemic, COVID-19 vaccine

©Chidinma Ihuoma Amuzie et al. Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article: Chidinma Ihuoma Amuzie et al. COVID-19 vaccine hesitancy among healthcare workers and its socio-demographic determinants in Abia State, South-East Nigeria: a cross-sectional study. Pan African Medical Journal. 2021;40:10. [doi: 10.11604/pamj.2021.40.10.29816]

Available online at: https://www.panafrican-med-journal.com/content/article/40/10/full

Home | Volume 40 | Article number 10

Research

COVID-19 vaccine hesitancy among healthcare workers and its socio-demographic determinants in Abia State, South-East Nigeria: a cross-sectional study

COVID-19 vaccine hesitancy among healthcare workers and its socio-demographic determinants in Abia State, South-East Nigeria: a cross-sectional study

Chidinma Ihuoma Amuzie1,&, Franklin Odini1, Kalu Ulu Kalu1, Michael Izuka1, Uche Nwamoh1, Uloaku Emma-Ukaegbu1, Grace Onyike1

 

1Department of Community Medicine, Federal Medical Centre Umuahia, Abia State, Nigeria

 

 

&Corresponding author
Chidinma Ihuoma Amuzie, Department of Community Medicine, Federal Medical Centre Umuahia, Abia State, Nigeria

 

 

Abstract

Introduction: healthcare workers are at higher risk of COVID-19 infection with ease of infection transmissibility to coworkers and patients. Vaccine hesitancy rates of 56% and up to 25% have been reported among healthcare workers in US and China respectively. Vaccination is known as the most effective strategy to combat infectious diseases. Acceptance of the COVID-19 vaccine plays a major role in combating the pandemic. This study assessed the sociodemographic factors associated with COVID-19 vaccine hesitancy among healthcare workers in Abia State.

 

Methods: a cross-sectional study among 422 healthcare workers was conducted in Abia State with an online-based questionnaire. The questionnaire extracted information on socio-demographics and willingness to take vaccine uptake. Descriptive statistics was used to calculate frequencies and proportions. Bivariate analysis was used to test the association between the socio-demographic factors and the outcome variable (vaccine hesitancy). Logistic regression was conducted to identify the predictors of COVID-19 vaccine hesitancy. The level of significance was 5%.

 

Results: mean age of the respondents was 40.6 ± 9.5 years and 67.1% were females. The COVID-19 vaccine hesitancy rate was 50.5% (95%CI: 45.6-55.3). Socio-demographic factors included age, marital status, location of practice, profession, and income. Vaccine hesitancy was predicted significantly by younger age, (aOR=9.34, 95%CI:2.01-43.39), marital status (single), (aOR=4.97, 95%CI:1.46-16.97) lower income,(aOR=2.84, 95%CI:1.32-6.08) and professiondoctor (aOR=0.28, 95%CI:0.11-0.70), nurse (aOR=0.31, 95%CI:0.15-0.64) and other allied health professionals (aOR=0.22, 95%CI:0.10-0.44).

 

Conclusion: COVID-19 vaccine hesitancy was high among healthcare workers. Significant sociodemographic predictors influence the uptake of the COVID-19 vaccine. We recommend that the Federal and State Ministries of Health conduct awareness campaigns targeting the younger age group, singles, lower income class, and non-clinical staff.

 

 

Introduction    Down

The COVID-19 pandemic has resulted in so many cases and deaths all around the globe. Since the World Health Organization (WHO) was notified of an outbreak of a new disease in Wuhan, China, and its subsequent declaration as a pandemic on 11th March 2020 [1], millions of cases and deaths have been reported worldwide. As of 11th May 2021, a total of 160,160,122 confirmed cases with 3,326,536 deaths of confirmed COVID-19 infection have been reported globally [2]. The United States of America has had the highest number of cases worldwide, with 33,539,208 confirmed cases and 596,766 deaths [2]. As of the reference date, Nigeria had recorded 165,468 confirmed cases, 156,318 discharged and 2,065 deaths with Lagos State being the state with the highest number of cases -58,599 confirmed cases [3]. Vaccines have been one of the most successful public health interventions of all time. Over time, they have been successfully deployed in the control of vaccine-preventable diseases. Despite the wide availability of vaccines and huge success recorded in disease control, several individuals and groups still kick against vaccine use. Vaccine hesitancy (VH), as defined by the (WHO) refers to a delay in acceptance or refusal of vaccines despite the availability of vaccine services [4].

 

Healthcare workers are at a higher risk of COVID-19 infection and illness due to the ease with which infection can be transmitted to coworkers and patients [5-7]. The WHO defines healthcare workers (HCWs) as “all people engaged in actions whose primary intent is to enhance health”. This includes doctors, nurses, midwives, paramedical staff, hospital administrators and support staff, and community workers [8]. An earlier scoping review reported 3.9% of COVID-19 infections among HCWs worldwide [9]. In New York, United States, 19.4% was recorded among HCWs, [5] similar to a rate of 19% reported for healthcare personnel in the United States [10]. A rate of 10.6% was noted in Qatar and as low as 5.62% in Iran [11,12]. In Nigeria, an earlier national survey reported that 9.3% of the confirmed cases were HCWs [13]. A recent study in Southsouthern Nigeria has observed a very low rate of 2% among HCWs during the period of study [14]. Concurrently, another study in Southsouthern Nigeria noted a rate of 15.2% [15]. Healthcare workers are prioritized in almost all the countries of the world before vaccine availability [16]. However, this prioritization is not associated with optimal utilization among the HCWs [17].

 

A systematic review showed that the COVID-19 acceptance rate among HCWs surveyed ranged from as low as 27.7% in the Democratic Republic of Congo to as high as 78.1% in Israel [18]. A study in Nigeria recorded a vaccine hesitancy rate of 41.8% among the adult population [19]. Various determinants influence vaccine hesitancy, some of which include sociodemographic factors arising from personal interpretation of the vaccines [4]. Globally, many individual characteristics known to affect vaccine uptake have been documented in studies. Most of these factors include sex, age, education, employment, religion, income, having children at home [19-24]. Male gender is associated with vaccine hesitancy. This is very important, especially in patriarchal societies, as seen many African countries [25]. The level of education has a major link to the receipt of information about vaccines. It is known that the less educated have poor access to information and rely on other sources for reliable information [26]. We therefore aimed in this study to assess the sociodemographic factors associated with COVID-19 vaccine hesitancy among healthcare workers in Abia State.

 

 

Methods Up    Down

Study area and design: This was a descriptive cross-sectional study conducted in March 2021 among healthcare workers of Abia State in Southeastern Nigeria. Abia State is one of the five states in the South-east zone of Nigeria. It had an estimated population of 3,784,355 in 2017 projected from the 2006 national population census with an annual growth rate of 3.0% [27]. Geopolitically, Abia State is divided into three senatorial zones (Abia North, Abia South, and Abia Central) with 17 local government areas and 291 political wards. The state has 517 public primary healthcare centres, 17 public secondary healthcare facilities, three public tertiary healthcare centres, and two diagnostics centres. This is complemented by many privately-owned healthcare facilities [27]. The study sites selected by simple random sampling included: two tertiary hospitals (Federal Medical Centre Umuahia, Abia State, and Abia State Teaching Hospital Abayi Aba, Abia State), two secondary health care facilities (General Hospital Amachara and General Hospital Ohafia), and three ward primary health care facilities (PHCs), one each from the three Senatorial Zones of the state. The ward PHCs were World Bank PHC, Eziukwu PHC and Eziama PHC.

 

Study population: medical doctors, nurses, pharmacists, medical laboratory scientists, scientific officers, administrative officers, and other allied health professionals comprised the study population. Those eligible for the study were healthcare workers working in government-owned health facilities who had access to the internet on their smartphones and other computer devices. Eligible participants currently not working in Abia State, with debilitating illnesses that would interfere with the communication process such as cerebrovascular accidents and those working in COVID-19 designated isolation centres, were excluded from the study. In each of the study sites, the WhatsApp/Telegram platforms of various groups of healthcare workers were identified with the help of the heads of departments. Amid the global pandemic, members of these online platforms were recruited for the study. The main outcome of this study was COVID-19 vaccine hesitancy, while the predictor variables were the socio-demographic characteristics.

 

Data collection tool and methods: A semi-structured questionnaire created on Google forms was used to collect the data. A brief message with a link to the questionnaire was posted selectively on the WhatsApp and Telegram of different health groups within the study sites, through the admins of the groups. The questionnaire was adapted and from the WHO SAGE (strategic advisory group of experts on immunisation) vaccine hesitancy survey sample questions [28]. The introductory section of the questionnaire contained the informed consent and overview of the study. The questionnaire was structured in two different sections. The first section contained information on the socio-demographic characteristics of the participants, like age, sex, marital status, profession, educational status, income, and location of practice. In the second section, participants were asked whether they would accept receiving the COVID-19 vaccine when it became available in Abia State. The response modalities were 'yes', 'no', or 'maybe'. A pre-test with a sample size of 40 (10% of the sample size) was done in a health facility not included in the study, to improve the wording and clarity of the items on the questionnaire. The final version of the questionnaire required an approximated time of 10 minutes to completed. Data was collected over two weeks (6th-20th March 2021). To reduce bias introduced by self-reported data, participants were assured of the confidentiality and privacy of their responses in the introductory session of the questionnaire. To ensure that the responses were solely from the eligible participants, the first question on the questionnaire was are you a healthcare worker currently working in Abia State? If 'no' was ticked, that was the end of the survey for the individual and vice versa for 'yes'. The calculated minimum sample size was 416 based on a potential vaccine hesitancy rate of 41.8% in a previous study [19], a non-response rate of 10%, a confidence level of 95%, and a 5% margin of error.

 

Data analysis: data was analyzed using the SPSS IBM version 26. Descriptive statistics was used to derive frequencies and percentages for the sociodemographic characteristics and willingness to accept the COVID-19 vaccines. The dependent outcome was the vaccine hesitancy rate with two (2) binary outcomes ('yes' and 'no'). The response options were 'yes', 'no', and 'maybe'. At the level of data analysis, 'yes' responses were recoded to '1' and 'no/maybe' were recoded to '0'. Bivariate analysis was done to compute and compare Odd Ratios (ORs) for the interpretation of the association between sociodemographic factors and vaccine hesitancy. P values less than 0.05 and confidence intervals excluding one (1) were considered significant. Multiple logistic regression was done using the vaccine hesitancy as the outcome variable and the socio-demographic factors as the predictor variables to compute the adjusted odds ratios (AORs). The level of significance was predetermined at a p-value of less than 0.05 with a 95% confidence interval.

 

Ethical consideration: Ethical approval was obtained from the Health Research Ethics Committee of the Federal Medical Centre Umuahia, Abia State, Nigeria with reference number (FMC/QEH/G.596/Vol.10/497). Respondents were informed that their participation was voluntary, and consent was implied upon completion of the questionnaire.

 

 

Results Up    Down

Sociodemographic characteristics of respondents: the socio-demographic characteristics of the respondents are shown in Table 1. The questionnaire was completed by a total of 422 respondents. The mean age of the respondents was 40.6 ± 9.5 years. The majority of the respondents were females (67.1%) and 163(38.6%) were in the 30-39 years age group. Most of the respondents were single (76.5%). The majority were practising in the Abia Central Senatorial Zone (65.4%) and were in the category of other allied health professionals (32.9%). Furthermore, the great majority were university degree holders (56.2%) with 65.4% of them earning less than NGN200,000 (approx. 526 USD) (Table 1).

 

Prevalence of vaccine hesitancy: the overall prevalence of vaccine hesitancy among the respondents was 50.5% (95%CI: 45.6-55.3). Across the different professions, a higher proportion of non-clinical staff (73.2%) were more hesitant about the COVID-19 vaccine compared to other cadres of staff (Figure 1).

 

Distribution of COVID-19 vaccine hesitancy rates by respondents´ characteristics: vaccine hesitancy was sixfold higher among those aged 20-29 years compared to those over 50 years (OR = 6.59 95% CI:1.71-25.46). Single respondents were more than thrice as likely to be hesitant as those who were divorced or widowed (OR= 3.40 95% CI: 1.15-10.00). Respondents practicing in the Abia South Senatorial zone were twice more likely to be vaccine-hesitant compared to those practicing in the Abia Central Senatorial zone Zone (OR = 2.00, 95% CI:1.27-3.16). Participants who were doctors (OR= 0.34, 95%CI:0.16-0.70), nurses (OR = 0.36, 95%CI:0.18-0.72) or other allied health professionals (OR = 0.27, 95% CI:0.14-0.54) were less likely to be vaccine-hesitant if they were doctors (OR= 0.34, CI: 0.16-0.70), nurses (OR= 0.36 95% CI:0.18-0.72) or other health professionals (OR= 0.27 95% CI:0.14-0.54]) compared to non-clinical staff. Being in the category of NGN200,000-NGN400,000 income group had higher odds (3.00) of vaccine hesitancy compared to those within the income level of above NGN400,000 (OR = 3.00, 95% CI:1.52-5.91) (Table 2).

 

Sociodemographic predictors of COVID-19 vaccine hesitancy: among the respondents' sociodemographic characteristics, younger age (AOR= 9.34 95% CI:2.01- 43.39),Marital status (singles) (AOR= 4.97 95% CI:1.46-16.97), professiondoctor (aOR=0.28, 95%CI:0.11-0.70), nurse (aOR=0.31, 95%CI:0.15-0.64),other allied health professionals (aOR=0.22, 95%CI:0.10-0.44), and lower income (aOR = 2.84, 95% CI:1.32-6.08) were the predictors of COVID-19 vaccine hesitancy (Table 3).

 

 

Discussion Up    Down

This study aimed to assess the socio-demographic factors associated with COVID-19 vaccine hesitancy among healthcare workers of the state. We observed that half of the respondents reported COVID-19 vaccine hesitancy. The predictors for COVID-19 vaccine hesitancy included age, marital status, income and profession. This value is similar to a previous report of 50% among HCWs from the south of the United States [29]. It was also consistent with the report from an additional study in the United States, with a VH rate of 56% among healthcare workers [24]. However, this contrasts with the reported VH rates in different countries. A systematic review of VH among healthcare workers observed a VH rate of more than 70%, as only 27.1% accepted to willingly be vaccinated in DRC, as well as 21.9% of of healthcare workers accepting the vaccine in Israel [18]. Much lower rates were also recorded in Saudi Arabia (11%) [22] and in France where two studies reported rates of 16% and 28.4% [30,31]. However, this contrasts with the findings from surveys on the general population with rates of 22% in Nigeria and 16.4% in China [19,32]. This finding can be attributed to the fact that people are concerned about the distrust of vaccine safety and vaccine novelty which are documented as deterrents of vaccination [33,34]. Additionally, they have access to few published scientific facts on the efficacy and safety of the COVID-19 vaccines [24,35]. This could also be explained in part, by the lack of trust in the government regarding the response activities to the pandemic [36-39]. Another form of distrust that has been documented to hinder COVID-19 uptake is the lack of trust in the pharmaceutical industry [36]. Additionally, this can also be attributed to the inability to detect fake news in the form of conspiracy theories and unfounded rumours [40]. In light of this, interventions and policies to improve the vaccination of healthcare workers should be done. Age was a predictor of COVID-19 VH amongst HCWs in Abia State.

 

Healthcare workers of younger age had an increased odds of vaccine hesitancy. This finding is consistent with several studies which reported vaccine acceptance increased with increasing age [24,41-44]. However, this is in contrast with studies that observed that respondents of the older age group were less likely to accept the COVID-19 vaccine [34,45]. This is probably due to the reported lesser severity of COVID-19 amongst people of younger age and their exposure to a variety of different online anti-vaccination materials compared to the older HCWs. Additionally, HCWs of younger age in Abia state may have a lower risk perception of COVID-19 which can affect their willingness to take the COVID-19 vaccine. Workplace education of healthcare workers in this category, on the benefits of vaccination is highly opted for.

 

According to findings of this study, marital status was a significant predictor of COVID-19 VH amongst HCWs in Abia State. It was found that VH was fourfolds higher in single compared to those who were in different forms of relationships. This finding is similar to a study done in Saudi Arabia and China where there was a positive association between those married and vaccine acceptance [20,46]. However this finding is inconsistent with studies done in Bangladesh and Lebanon where married people were more vaccine-hesitant compared to the singles [45,47]. Generally, single HCWs in Abia State are expected to be those in younger age groups. They are more likely to exhibit carefree attitudes compared to the married HCWs. The married HCWs are prone to be much older, with family ties, and tend to be intentional about their health. Also, as it is known that COVID-19 infection tends to be more severe in older age groups, a majority of married HCWs may fall into this older age category and will tend to understand the severity of this infection and be less hesitant towards getting immunized against the infection. Sensitization campaigns on vaccine hesitancy at the workplace with special considerations for the singles are highly emphasized. Income was one of the socio-demographic predictors of COVID-19 VH amongst HCWs in Abia State. This study found that that HCWs who earn between NGN 200,000 - NGN400,000 monthly were twice more likely to be hesitant about receiving the COVID-19 vaccine than other HCWs who earned less than NGN200,000 or more than NGN400,000 monthly. This is similar to a study in Japan among the general populace noted that vaccine acceptance was lower among those with low income [48]. Conversely, it is consistent with the findings of the studies done in Bangladesh and the US where it was reported that households with lower income were more likely to be hesitant to get immunized against COVID-19 [23,24,45].

 

This can be explained by low awareness of vaccination benefits among these categories of people. Another reason could be financial concerns about getting vaccinated [36,49]. A unique finding of this study that could also relate to income is vaccine hesitancy based on profession, with the non-clinical staff having the highest odds of vaccine hesitancy. Pecuniary measures such as cash rewards following vaccination, and tokens to alleviate transport costs to vaccination sites are highly encouraged. Public health information on the negative effects of vaccine hesitancy should be made available to this category of workers. Finally, profession was a statistically significant socio-demographic predictor of COVID-19 VH amongst HCWs in Abia State. Vaccine hesitancy was less likely to occur amongst clinical staff consisting of doctors, nurses, and other clinical health professionals compared to the non-clinical staff. Similar finding have been documented in studies where doctors reported willingness to be vaccinated compared to other medical cadres [25,44]. However, a country-level analysis observed that in Canada, Spain, and the UK, the highly educated were linked to lower acceptance of the COVID-19 vaccine [50]. The clinical staff may tend to be more receptive to getting vaccinated compared to the non-clinical staff, who is likely to have a reduced perceived susceptibility of occupational exposure as well as reduced perceived benefits of vaccination. Furthermore, those in the clinical cadre are likely to have more access to scientific sources of information regarding COVID-19 by virtue of their occupation and training, and this may also contribute to them being less hesitant about COVID-19 vaccination than the non-clinical staff, as reported in this study. A health awareness campaign towards the benefits of vaccination is highly recommended with a special focus on categories of healthcare workers in this category.

 

 

Limitations: one of the shortcomings of this study may have been selection bias, because only those with access to smartphones and computer devices could participate. This could also be a threat to the external validity of this study. However, the selection of study participants from the three Senatorial Zones of the state, with a random selection of study sites from the three different levels of healthcare facilities, made the study sample representative of the general population of HCWs in Abia State, Nigeria.

 

Strength: The aforementioned limitations notwithstanding, the study draws its major strength from the fact that it was the first to assess COVID-19 vaccine hesitancy in the state, hence, providing baseline information for use by stakeholders and policymakers in the health sector in Abia State.

 

Conclusion Up    Down

In this study, 1 in 2 healthcare workers in Abia State was COVID-19 vaccine-hesitant. Age, marital status, profession and income were the significant sociodemographic predictors reported in the study. We, therefore, recommend that policymakers and stakeholders in the federal and state ministries of health should focus mainly on health education campaigns, targeting the younger age group, those who are singles, non-clinical staff, and those in the lower income category to improve the willingness to accept the COVID-19 vaccine. Further research, including objective assessment of vaccine hesitancy, is also recommended.

What is known about this topic

  • Different vaccine hesitancy rates have been documented among healthcare workers in different countries across the globe;
  • Several sociodemographic predictors are reported in different studies based on the context-specific concept of vaccine hesitancy.

What this study adds

  • This study is the first of its kind to measure COVID-19 vaccine hesitancy in Abia State;
  • It identified a wide range of HCWs with higher odds of COVID-19 vaccine hesitancy relating to their sociodemographic characteristics in Abia State; this provides baseline evidence for future research and policy design to tackle vaccine hesitancy among HCWs.

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Authors' contributions Up    Down

Chidinma Ihuoma Amuzie conceptualized the study and developed the results and discussion section; Franklin Odini conceptualized and designed the study; Kalu Ulu Kalu conducted the literature review and developed the discussion section; Michael Izuka analyzed the data and revised the manuscript; Uche Nwamoh and Uloaku Emma-Ukaegbu revised the manuscript for intellectual and scientific content; Grace Onyike conducted the data collection and developed the discussion section. All the authors have read and agreed to the final manuscript.

 

 

Acknowledgments Up    Down

Our profound appreciation goes to the healthcare workers who participated in this study. We also acknowledge the Department of Community Medicine, Federal Medical Centre, for their support throughout the study.

 

 

Tables and figure Up    Down

Table 1: socio-demographic characteristics of respondents (N=422)

Table 2: hesitancy to potential COVID-19 vaccine by sociodemographic characteristics (N=422)

Table 3: sociodemographic predictors of potential COVID-19 vaccine hesitancy among Healthcare workers in Abia State (N=422)

Figure 1: COVID-19 vaccine hesitancy rates by profession

 

 

References Up    Down

  1. World Health Organization. Rolling updates on coronavirus disease (COVID-19). 2020. Accessed on Mar 5th 2021.

  2. Worldometer. Coronavirus update (live): cases and deaths from COVID-19 virus pandemic. Accessed on May 11th 2021.

  3. Nigeria Centre for Disease Control. NCDC coronavirus COVID-19 microsite: COVID-19 Nigeria. Accessed on May 11th 2021.

  4. World Health Organization. SAGE working group on vaccine hesitancy-literature review. 2013;1-40.

  5. Stock AD, Bader ER, Cezayirli P, Inocencio J, Chalmers SA, Yassari R et al. COVID-19 infection among healthcare workers: serological findings supporting routine testing. Front Med. 2020;7:471. PubMed | Google Scholar

  6. Kim R, Nachman S, Fernandes R, Meyers K, Taylor M, LeBlanc D et al. Comparison of COVID-19 infections among healthcare workers and non-healthcare workers. PLoS One. 2020 Dec 9;15(12):e0241956. PubMed | Google Scholar

  7. Ilesanmi OS, Afolabi AA, Akande A, Raji T, Mohammed A. Infection prevention and control during COVID-19 pandemic: realities from healthcare workers in a North Central State in Nigeria. Epidemiol Infect. 2021 Jan 7;149:e15. PubMed | Google Scholar

  8. World Health Organization. Health workers: a global profile. The World Health report 2006.

  9. Bandyopadhyay S, Baticulon RE, Kadhum M, Alser M, Ojuka DK, Badereddin Y et al. Infection and mortality of healthcare workers worldwide from COVID-19: a systematic review. BMJ Glob Health. 2020 Dec;5(12):e003097 PubMed | Google Scholar

  10. Burrer SL, de Perio MA, Hughes MM, Kuhar DT, Luckhaupt SE, McDaniel CJ et al. Characteristics of health care personnel with COVID-19 United States, February 12-April 9, 2020. MMWR Morb Mortal Wkly Rep. 2020 Apr 17;69(15):477-481. PubMed | Google Scholar

  11. Alajmi J, Jeremijenko AM, Abraham JC, Alishaq M, Concepcion EG, Butt AA et al. COVID-19 infection among healthcare workers in a national healthcare system: The Qatar experience. Int J Infect Dis. 2020 Nov;100:386-389. PubMed | Google Scholar

  12. Sabetian G, Moghadami M, Hashemizadeh Fard Haghighi L, Shahriarirad R, Fallahi MJ, Asmarian N et al. COVID-19 infection among healthcare workers: a cross-sectional study in southwest Iran. Virol J. 2021 Mar 17;18(1):58. PubMed | Google Scholar

  13. Elimian KO, Ochu CL, Ilori E, Oladejo J, Igumbor E, Steinhardt L et al. Descriptive epidemiology of coronavirus disease 2019 in Nigeria, 27 February-6 June, 2020. Epidemiol Infect. 2020 Sep 11;148:e208. PubMed | Google Scholar

  14. Enabulele O, Esther A. The risk perception of COVID -19 and practice of precautionary measures amongst healthcare workers in the National Health Insurance Scheme Clinic of a tertiary hospital in Nigeria. Pan African Medical Journal. 2021 Jan 21;38:73. PubMed | Google Scholar

  15. Alasia DD, Maduka O. Prevalence and pattern of COVID-19 among healthcare workers in rivers State Nigeria. Occup Dis Environ Med. 2021;09(01):20-32. Google Scholar

  16. World Health Organisation. Coronavirus disease (COVID-19): vaccines. Accessed on Mar 5th 2021.

  17. Seale H. It´s crucial we address COVID vaccine hesitancy among health workers. Here´s where to start. Accessed on Mar 3rd 2021.

  18. Sallam M. COVID-19 vaccine hesitancy worldwide: a concise systematic review of vaccine acceptance rates. Vaccines (Basel). 2021 Feb 16;9(2):160. PubMed | Google Scholar

  19. Oluwatemitope OC, Kehinde SV, Felicia UB, Olabisi OA, Eziashi AE, Martin IC et al. Predictors of uptake of a potential Covid-19 vaccine among Nigerian Adults. medRxiv. 2021;1-21. Google Scholar

  20. Wang J, Jing R, Lai X, Zhang H, Lyu Y, Knoll MD et al. Acceptance of COVID-19 vaccination during the COVID-19 pandemic in china. Vaccines (Basel). 2020 Aug 27;8(3):482. PubMed | Google Scholar

  21. Detoc M, Bruel S, Frappe P, Botelho-Nevers E, Gagneux-Brunon A. Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic. Vaccine. 2020 Oct 21;38(45):7002-7006. PubMed | Google Scholar

  22. Barry M, Temsah MH, Alhuzaimi A, Alamro N, Al-Eyadhy A, Aljamaan F et al. COVID-19 vaccine confidence and hesitancy among healthcare workers: a cross-sectional survey from a MERS-CoV experienced nation. medRxiv. 2020;(December):5-25. Google Scholar

  23. Khubchandani J, Sharma S, Price JH, Wiblishauser MJ, Sharma M, Webb FJ. COVID-19 vaccination hesitancy in the United States: a rapid national assessment. J Community Health. 2021 Apr;46(2):270-277. PubMed | Google Scholar

  24. Shekhar R, Sheikh AB, Upadhyay S, Singh M, Kottewar S, Mir H et al. COVID-19 vaccine acceptance among health care workers in the United States. Vaccines (Basel). 2021 Feb 3;9(2):119. PubMed | Google Scholar

  25. Kabamba Nzaji M, Kabamba Ngombe L, Ngoie Mwamba G, Banza Ndala DB, Mbidi Miema J, Luhata Lungoyo C et al. Acceptability of vaccination against COVID-19 among healthcare workers in the Democratic Republic of the Congo. Pragmat Obs Res. 2020 Oct 29;11:103-109. PubMed | Google Scholar

  26. Troiano G, Nardi A. Vaccine hesitancy in the era of COVID-19. Public Health. 2021 May;194:245-251. PubMed | Google Scholar

  27. Abia State Ministry of health. Abia State strategic health development plan (2010-2015). Nigeria Governors' Forum. 2009;15-7

  28. Domek GJ, O´Leary ST, Bull S, Bronsert M, Contreras-Roldan IL, Bolaños VGA et al. Measuring vaccine hesitancy: field testing the WHO SAGE working group on vaccine hesitancy survey tool in Guatemala. Vaccine. 2018 Aug 23;36(35):5273-5281. PubMed | Google Scholar

  29. Thomas L. Low acceptance of COVID-19 vaccine among healthcare workers in USA. News Med life Sci. 2021;1-6.

  30. Verger P, Fressard L, Collange F, Gautier A, Jestin C, Launay O et al. Vaccine hesitancy among general practitioners and its determinants during controversies: a national cross-sectional survey in France. EBioMedicine. 2015 Jun 23;2(8):891-7. PubMed | Google Scholar

  31. Verger P, Scronias D, Dauby N, Adedzi KA, Gobert C, Bergeat M et al. Attitudes of healthcare workers towards COVID-19 vaccination: a survey in France and French-speaking parts of Belgium and Canada, 2020. Euro Surveill. 2021 Jan;26(3):2002047. PubMed | Google Scholar

  32. Lin Y, Hu Z, Zhao Q, Alias H, Danaee M, Wong LP. Understanding COVID-19 vaccine demand and hesitancy: a nationwide online survey in China. PLoS Negl Trop Dis. 2020 Dec 17;14(12):e0008961. PubMed | Google Scholar

  33. Thunstrom L, Ashworth M, Finnoff D, Newbold S. Hesitancy towards a COVID-19 vaccine and prospects for herd immunity. SSRN Electron J. 2020. Google Scholar

  34. El-Elimat T, AbuAlSamen MM, Almomani BA, Al-Sawalha NA, Alali FQ. Acceptance and attitudes toward COVID-19 vaccines: a cross-sectional study from Jordan. PLoS One. 2021 Apr 23;16(4):e0250555. PubMed | Google Scholar

  35. Gatwood J, McKnight M, Fiscus M, Hohmeier KC, Chisholm-Burns M. Factors influencing likelihood of COVID-19 vaccination: a survey of Tennessee adults. Am J Health Syst Pharm. 2021 May 6;78(10):879-889. PubMed | Google Scholar

  36. Afolabi AA, Ilesanmi OS. Dealing with vaccine hesitancy in Africa: the prospective COVID-19 vaccine context. Pan African Medical journal. 2021 Jan 5;38:3. PubMed | Google Scholar

  37. Chanvatik S, Kosiyaporn H, Lekagul A, Kaewkhankhaeng W, Vongmongkol V, Thunyahan A et al. Knowledge and use of antibiotics in Thailand: a 2017 national household survey. PLoS One. 2019 Aug 9;14(8):e0220990. PubMed | Google Scholar

  38. Lennon RP, Small ML, Smith RA, van Scoy LJ, Myrick JG, Martin MA et al. Unique predictors of intended uptake of a COVID-19 vaccine. Am J Health Promot. 2021 Jul 16;8901171211026132. PubMed | Google Scholar

  39. Webb Hooper M, Nápoles AM, Pérez-Stable EJ. No populations left behind: vaccine hesitancy and equitable diffusion of effective COVID-19 vaccines. J Gen Intern Med. 2021 Jul;36(7):2130-2133. PubMed | Google Scholar

  40. Montagni I, Ouazzani-Touhami K, Mebarki A, Texier N, Schück S, Tzourio C et al. Acceptance of a COVID-19 vaccine is associated with ability to detect fake news and health literacy. J Public Health (Oxf). 2021 Mar 9;fdab028. PubMed | Google Scholar

  41. Kelly BJ, Southwell BG, McCormack LA, Bann CM, MacDonald PDM, Frasier AM et al. Predictors of willingness to get a COVID-19 vaccine in the U.S. BMC Infect Dis. 2021 Apr 12;21(1):338. PubMed | Google Scholar

  42. Robertson E, Reeve KS, Niedzwiedz CL, Moore J, Blake M, Green M et al. Predictors of COVID-19 vaccine hesitancy in the UK household longitudinal study. Brain Behav Immun. 2021 May;94:41-50. PubMed | Google Scholar

  43. Schwarzinger M, Watson V, Arwidson P, Alla F, Luchini S. COVID-19 vaccine hesitancy in a representative working-age population in France: a survey experiment based on vaccine characteristics. Lancet Public Health. 2021 Apr;6(4):e210-e221. PubMed | Google Scholar

  44. Biswas N, Mustapha T, Khubchandani J, Price JH. The nature and extent of COVID-19 vaccination hesitancy in healthcare workers. J Community Health. 2021 Apr 20;1-8. PubMed | Google Scholar

  45. Ali M, Hossain A. What is the extent of COVID-19 vaccine hesitancy in Bangladesh?: a cross-sectional rapid national survey. BMJ Open . 2021 Aug 24;11(8):e050303. PubMed | Google Scholar

  46. Padhi BK, Al-Mohaithef M. Determinants of COVID-19 vaccine acceptance in Saudi Arabia: a web-based national survey. J Multidiscip Healthc . 2020 Nov 20;13:1657-1663. PubMed | Google Scholar

  47. Kasrine Al Halabi C, Obeid S, Sacre H, Akel M, Hallit R, Salameh P et al. Attitudes of Lebanese adults regarding COVID-19 vaccination. BMC Public Health. 2021 May 27;21(1):998. PubMed | Google Scholar

  48. Machida M, Nakamura I, Kojima T, Saito R, Nakaya T, Hanibuchi T et al. Acceptance of a COVID-19 vaccine in japan during the COVID-19 pandemic. Vaccines (Basel). 2021 Mar 3;9(3):210. PubMed | Google Scholar

  49. Iyengar KP, Vaishya R, Jain VK, Ish P. BAME community hesitancy in the UK for COVID-19 vaccine: suggested solutions. Postgraduate Medical Journal. BMJ Publishing Group. 2021 Mar 29. PubMed | Google Scholar

  50. Lazarus J V., Wyka K, Rauh L, Rabin K, Ratzan S, Gostin LO et al. Hesitant or Not? The Association of age, gender, and education with potential acceptance of a COVID-19 vaccine: a country-level analysis. J Health Commun. 2020 Oct 2;25(10):799-807. PubMed | Google Scholar

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Research

COVID-19 vaccine hesitancy among healthcare workers and its socio-demographic determinants in Abia State, South-East Nigeria: a cross-sectional study

Research

COVID-19 vaccine hesitancy among healthcare workers and its socio-demographic determinants in Abia State, South-East Nigeria: a cross-sectional study

Research

COVID-19 vaccine hesitancy among healthcare workers and its socio-demographic determinants in Abia State, South-East Nigeria: a cross-sectional study