Abstract
Objective:
To estimate routine immunization coverage, compare coverage estimates derived from vaccination cards and caregiver recall, and investigate factors associated with incomplete immunization among children aged 18 months to 6 years in communities with a high malaria prevalence in the Malabo district of Equatorial Guinea.
Methods:
A cross-sectional survey was nested within a larger study and was conducted between September 2019 and March 2020. Children aged 18 months to 6 years living in 13 malaria-endemic communities in Malabo District, Bioko Island were enrolled. Immunization status was ascertained from vaccination cards or caregiver recall.
Results:
Of the 297 children, with verified immunization status, 86 (29%) were fully immunized according to the national schedule. Coverage estimates were similar whether verified by vaccination card (28%, 34/121) or caregiver recall (30%, 52/176). Children aged 18 months and 2 years had higher completion rates than children aged 2–6 years: 45% (39/86) versus 22% (47/211), aOR = 0.42, 95% CI [0.20, 0.87]). The other factors examined (sex, ethnicity andcommunity area) were not significantly associated with immunization status.
Conclusion:
Overall immunization coverage in this population was low. Younger children had higher completion rates, possibly reflecting improved program performance in recent years or differential recall bias. Further community based studies, in both urban and peri-urban areas needed to identify reasons for gaps in vaccination coverage and to inform targeted interventions.
Introduction
Vaccines have the potential to prevent deaths and reduce morbidity worldwide as safe and cost-effective interventions [1]. Equatorial Guinea (EG), a coastal country in Central Africa with an estimated population of 1.2 million [2], is one of the countries that has historically had the lowest routine immunization coverage [3]. In 2011, only 27% of children nationwide completed their routine immunizations and 24% received all scheduled vaccines before their first birthday [5]. In 2004, EG was among the 10 countries with less than 50% coverage of the third dose of the DTP vaccine, a combination vaccine that protects against diphtheria, tetanus, and pertussis diseases [4, 5]. DTP 3 coverage is used worldwide to assess the performance of a country’s immunization system [6]. According to the World Health Organization (WHO) and United Nations Children’s Fund (UNICEF) joint estimates (WUENIC) [4]. DTP 3 coverage in EG was 54% in 2011 and increased to 58% in 2014 national immunization survey. In 2014, the percentage of children who received the first dose of the measles vaccine was estimated at 53%, falling short of the 85% target set by both Millennium Development Goals (MDG) the Global Vaccine Action Plan (GVAP) for 2011–2020 [3, 7–11].
In 2016, a survey conducted in nine of the country’s 17 districts revealed that coverage remained less than 50% [7, 10]. The estimates for individual vaccine doses were also low: BCG (48%), DTP3 (19%), Pol 3 (20%), MCV1 (30%), IPV (12%), HEPB-3 (19%), and Hib-3 (19%) [7, 12]. A qualitative study in EG [13] found that routine services could be improved through community involvement in service delivery planning and through strengthened communication and monitoring strategies [10, 13].
There is an urgent need for evidence-based research, to help address gaps within the national immunization system and support progress towards Sustainable Development Goal (SDG) 3, which includes ending preventable deaths of newborns and children under 5 years of age by 2030 [10, 14, 15]. This study aimed to estimate routine immunization coverage, compare coverage estimates derived from vaccination cards and caregiver recall, and identify factors associated with incomplete immunization among children aged 18 months to six years in high malaria-prevalence communities in the Malabo district of Equatorial Guinea.
Methods
Study Design
A cross-sectional survey of the routine immunization status of children aged 18 months to 6 years was conducted between September 2019 and March 2020. The survey was nested within the Equatorial Guinea Recruitment, Screening, and Enrollment Registry (EG-RESPAR), a large pilot study designed to optimize participant recruitment and screening procedures for future clinical trials and create a registry of potential research study participants on Bioko Island, Equatorial Guinea.
Sampling
The sample for the parent study, EG-RESPAR, was drawn from 13 communities with high malaria incidence rates in urban and peri-urban areas of Malabo District. These communities had an estimated malaria prevalence of at least 20% and were pre-selected based on a malaria incidence study conducted in 2018–2019 [16, 17]. The selection of high-transmission communities means that the study population is not representative of Malabo District as a whole; these areas tend to be more remote, have lower socioeconomic status, and may have reduced access to health services compared to other parts of the district. EG-RESPAR selected 7000 households in these 13 communities using the Bioko Island Malaria Elimination Project (BIMEP) census data (to identify households with individuals who met the inclusion criteria [18].
The inclusion criteria for the parent study were healthy individuals (without obvious illness) aged 18 months to 50 years at the time of consent; males and non-pregnant, non-lactating females currently residing in one of the selected communities; willingness and ability to attend required appointments; and ability to communicate in Spanish (for participants or their parents/caregivers). Households underwent pre-consent screening using a door-to-door approach. Of the 7000 households visited, approximately 5000 individuals were eligible and invited to continue the screening process, which included informed consent, compliance assessment, and clinical assessment (anthropometrics, vital signs, and medical history).
From the consenting participants, in EG-RESPAR, all caregivers of children aged 18 months to 6 years were invited to participate in the current study. A total of 300 children were enrolled. The sample size was determined by the number of eligible children within the parent study and was not based on a formal power calculation. Parents and caregivers were asked to complete a brief interview about their children’s vaccination history. Recruitment and screening were halted in March 2020 due to the COVID-19 pandemic.
Ethical Considerations
Parents or caregivers of participating children provided written informed consent before enrollment. Since all children were minors, at least one parent signed the informed consent form and assent was not required. By signing the consent form, the parents or caregivers agreed to be contacted by phone and for home follow-up visits if needed. Ethical approval for the parent study (EG-RESPAR) was obtained from the National Ethics Committee of Equatorial Guinea (CENGE), the Ifakara Health Institute, Institutional Review Board (IHI-IRB), in Tanzania, and the Ethics Committee of Northwest and Central Switzerland (EKNZ). The immunization survey was conducted under the same approvals as the parent study protocol.
Information Collected
Parents and caregivers of eligible children provided information on their child’s routine immunization history, demographic characteristics, and school attendance. Immunization status was verified through multiple methods. The primary source was the vaccination card presented at the time of interview. For participants whose cards were missing or unavailable, a study team member conducted home follow-up visits. If the card had been lost, verification was attempted at the health facility where the child was reported to have been vaccinated on Bioko Island. For children without vaccination cards, immunization status was ascertained through caregiver recall and inspection of the upper arm for the characteristic BCG scar.
Data were collected using an institutional review board (IRB)-approved informed consent form (ICF) and case report forms (CRFs). All forms were verified and validated by the quality assurance unit of MCD Global Health, the organization implementing the BIMEP before use. The data were entered into an electronic capture system using CASTOR EDC software (validated 21 CFR part 11 system).
The national Expanded Program on Immunization (EPI) of Equatorial Guinea provides vaccines against nine diseases in children under 5 years of age: tuberculosis, poliomyelitis, tetanus, diphtheria, pertussis, Haemophilus influenza type b infection, hepatitis B, measles, and yellow fever. According to the national schedule at the time of this study, BCG and the first dose of hepatitis B were administered at birth; OPV-1, DTP-1, and Penta-1 at 6 weeks; OPV-2, DTP-2, and Penta-2 at 10 weeks; OPV-3, DTP-3, Penta-3, and IPV at 14 weeks; and the measles and yellow fever vaccines at 9 months (Table 1). Hepatitis B birth dose, although included in the schedule, was not available during the study period and was therefore excluded from our assessment of full immunization.
TABLE 1
| Year added to national calendar | Immunization (abbreviation) | Vaccine name | Birth | 6 weeks | 10 weeks | 14 weeks | 9 months |
|---|---|---|---|---|---|---|---|
| 1985 | BCG | Bacillus Calmette-guerin | X | | | | |
| 1985 | OPV | Oral polio vaccine | X | X | X | X | |
| 1985 | DTP | Diphtheria, tetanus, pertussis | | X | X | X | |
| 2014 | PENTA | DTP, Hepatitis B, Haemophilus influenza type b vaccine | | X | X | X | |
| 2016/2017 | Hep Ba | Hepatitis B | X | | | | |
| 2016/2017 | IPV | Inactivated polio vaccine | | | | X | |
| 1985 | MV | Measles vaccine | | | | | X |
| 2016/2017 | YF | Yellow fever | | | | | X |
Equatorial Guinea national immunization schedule for children at the time of the study (Equatorial Guinea Recruitment, Screening and Enrollment Registry [EG-RESPAR] immunization sub-study, Malabo District, Equatorial Guinea, 2019–2020).
Hep Ba introduced to the calendar but was not administered to any of the study participants.
Children who had received all vaccinations from birth to 9 months of age according to the national EPI schedule were classified as fully immunized (Table 1). Children who had received at least one vaccine but not all scheduled doses were classified as partially immunized. Children were classified as unimmunized if there was no evidence of vaccination, defined as absence of a vaccination card, no caregiver recall of any vaccine receipt, and no visible BCG scar. Children for whom immunization could not be determined due to missing information on vaccination cards, recall history and BCG scar were classified as undetermined.
School attendance was categorized as follows: (i) children aged 3 years or older who were currently attending school; (ii) children younger than 3 years old, who were not yet expected to attend school; and (iii) children aged 3 years or older who were not attending school at the time of the survey.
Statistical Analysis
The proportion of children fully immunized was estimated with 95% confidence intervals using logistic regression. Logistic regression models were also used to estimate associations between potential risk factors (age, sex, ethnicity, school attendance, and community type) and full compared to partial and unimmunized vaccination status. These factors were selected based on previous studies conducted in Sudan and Ghana [17, 19, 20]. All statistical analyses were performed using STATA 18 (StataCorp. LLC College Station, TX).
Results
Demographic Characteristics of Participants
Three hundred children were recruited for this study, of whom 297 (99%) had verified immunization status and were included in the analysis. Three children (1%) having missing (undetermined) immunization status were excluded from the analysis. The mean age of the children was 3.8 years (range, 1.5–5.9 years), and 154 (52%) were female (Table 2). Two hundred and twenty (74%) participants were from the Fang ethnic group, 56 were Bubi (19%), with 21 (7%) from other ethnic groups. Of the 297 children 154, (52%) were attending school, 57, (20%) were of school age but not attending, and 86 (29%) were not yet of school age (Table 2). Approximately two-thirds of participants resided in urban areas, while one-third lived in peri-urban communities. For analysis, participants were classified by community type rather than by individual community due to small numbers in some communities.
TABLE 2
| Characteristics | N | % |
|---|---|---|
| Gender | ||
| Female | 154 | 52 |
| Age(Years) | ||
| 1.5–2 years | 86 | 29 |
| >2–5.9 years | 211 | 71 |
| Education | ||
| Are in school | 154 | 52 |
| Should be in school but are not in school | 57 | 20 |
| Should not be in school | 86 | 29 |
| Community area | ||
| Urban | 199 | 67 |
| Peri-urban | 98 | 33 |
| Ethnicity | ||
| Fang | 220 | 74 |
| Bubi | 56 | 19 |
| Others | 21 | 7 |
Basic demographic characteristics of study population, N = 297 (EG-RESPAR immunization sub-study, Malabo District, Equatorial Guinea, 2019–2020).
Vaccination Coverage Rate
Of the 297 children with verified immunization status, 121 (41%) had vaccination cards as their primary source of verification while 176 (59%) relied on caregiver recall (Table 3). Overall, 86 children (29%) were fully immunized, having received all vaccines scheduled from birth to 9 months according to the national EPI schedule. Two hundred and ten children (71%) were partially immunized, one child (1%) was unimmunized (Table 3). When stratified by verification method, coverage estimates were similar: among children with vaccination cards, 34 (28%) were fully immunized 86 (71%) were partially immunized, and one (<1%) was unimmunized (Table 3). One hundred and fifty (51%) children completed all doses of OPV and Penta vaccines, while 142 (48%) had missed two or more vaccines.
TABLE 3
| Immunization status/card vs. recall | Fully immunizeda | Partially immunized | Total |
|---|---|---|---|
| Card | 34 (28%) | 87 (72%) | 121 |
| Recall | 52 (30%) | 123 (70%) | 176 |
| Both | 86 (29%) | 210 (71%) | 297 (100%) |
| Dose completion (PENTA/POLIO) | - | - | 150 (51%) |
| Missed 2 or more vaccines | - | - | 142 (48%) |
Vaccination coverage rates in children with vaccination card only, parental recall only, both, dose completion, missed vaccines, and immunization status (EG-RESPAR immunization substudy, Malabo District, Equatorial Guinea, 2019–2020).
Row percentages are presented within each verification method (vaccination card, recall, both) to allow direct comparison of coverage rates between methods. The “Total” column shows raw counts.
Coverage for most individual vaccines exceeded 50%, with the exception of yellow fever (34%) (Table 4). Vaccine-specific coverage estimates tended to be higher among children with vaccination cards than among those verified by caregivers recall (Table 4). Coverage was also higher for vaccines administered in the first few months of life compared to those administered later for example, BCG coverage was 94% overall, whereas Penta-3 coverage was 53%.
TABLE 4
| Vaccine | Cards (N = 121) | No cards (N = 176) | All (N = 297) | |||
|---|---|---|---|---|---|---|
| Frequency | Percentage (%) | Frequency | Percentage (%) | Frequency | Percentage (%) | |
| BCG | 121 | 100 | 159 | 90 | 280 | 94 |
| Oral polio vaccine #0 | 116 | 96 | 117 | 66 | 233 | 78 |
| Oral polio vaccine #1 | 112 | 93 | 88 | 50 | 200 | 67 |
| Oral polio vaccine #2 | 106 | 88 | 80 | 46 | 186 | 63 |
| Oral polio vaccine #3 | 99 | 82 | 75 | 43 | 174 | 59 |
| Pentavalent #1 | 111 | 92 | 86 | 49 | 197 | 66 |
| Pentavalent #2 | 100 | 83 | 64 | 36 | 164 | 55 |
| Pentavalent #3 | 96 | 79 | 62 | 35 | 158 | 53 |
| Inactivated poliovirus vaccine | 73 | 60 | 88 | 46 | 161 | 54 |
| Measles | 85 | 70 | 100 | 53 | 185 | 62 |
| Yellow fever | 39 | 31 | 61 | 33 | 100 | 34 |
Individual vaccine coverage by source of verification (vaccination cards and parental recall) (EG-RESPAR immunization sub-study, Malabo District, Equatorial Guinea, 2019–2020).
Factors Associated With Being Fully Immunized
Card retention was associated with full immunization; however, since this may be a consequence rather than a cause of vaccination status, it was not included in the multivariable model (Table 5).
TABLE 5
| Fully immunized | Partially immunized | Unimmunized | OR (95% CI) | P-value | Adjusted ORa(95% CI) | P-value | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Characteristics | N | % | N | % | N | % | N | % | ||||
| Gender | ||||||||||||
| Male | 145 | 48 | 38 | 27 | 100 | 70 | 1 | 1 | 1 | | 1 | |
| Female | 154 | 52 | 48 | 31 | 101 | 66 | 0 | 0 | 1.22 (0.75,1.99) | 0.42 | 1.07 (0.64, 1.78) | 0.80 |
| Age(Years) | ||||||||||||
| 1.5–2 years | 86 | 29 | 39 | 45 | 45 | 52 | 1 | 1 | 1 | | 1 | |
| >2–5.9 years | 211 | 71 | 47 | 22 | 156 | 74 | 0 | 0 | 0.39 (0.23,0.65) | <0.01 | 0.42 (0.20, 0.87) | 0.02 |
| Education | ||||||||||||
| Primary | 154 | 52 | 32 | 21 | 115 | 75 | 0 | 0 | 1 | | 1 | |
| Not applicable for school | 143 | 48 | 54 | 38 | 86 | 60 | 1 | 1 | 1.95 (1.19,3.20) | 0.008 | 1.11 (0.55, 2.22) | 0.77 |
| Community area | ||||||||||||
| Urban | 199 | 67 | 55 | 28 | 136 | 68 | 0 | 0 | 1 | | 1 | |
| Peri-urban | 98 | 33 | 31 | 32 | 65 | 66 | 1 | 1 | 1.09 (0.66,1.83) | 0.73 | 1.02 (0.54,1.95) | 0.94 |
| Ethnicity | ||||||||||||
| Fang | 220 | 74 | 60 | 27 | 152 | 69 | 1 | 0 | - | | - | |
| Bubi | 56 | 19 | 20 | 23 | 36 | 17 | 0 | 0 | 1.2 (0.67, 2.3) | | 1.2 (0.53, 2.88) | 0.62 |
| Others | 21 | 7 | 6 | 7 | 15 | 7 | 0 | 0 | 1.4 (0.54,3.47) | 0.38 | 1.3 (0.48, 3.3) | 0.63 |
Factors associated with vaccination status in children aged 1.5–5.9 years from 13 communities in Malabo District (EGRESPAR immunization sub-study, Malabo District, Equatorial Guinea, 2019–2020).
The OR is for fully vaccinated compared to not being fully vaccinated
In unadjusted analyses, age and school attendance were individually associated with immunization status. Children aged 2–5.9 years had lower odds of being fully immunized compared to children aged 18 months to 2 years (OR = 0.39, 95% CI [0.23, 0.65], p < 0.01). Children not yet of school age had higher odds of full immunization compared to those attending school (OR = 1.95, 95% CI [1.19, 3.20], p = 0.008). Sex, ethnicity, and community type were not associated with immunization status (Table 5). In the multivariable model adjusting for all factors, age remained significantly associated with immunization status. Children aged 2–5.9 years had lower odds of being fully immunized compared to children aged 18 months to 2 years (aOR = 0.42, 95% CI [0.20, 0.87], p = 0.02), with 47 (22%) of older children fully immunized compared to 39 (45%) of younger children.
The association between school attendance and immunization status was no longer statistically significant (aOR = 1.11, 95% CI [0.55, 2.22], p = 0.77), likely due to collinearity with age.
Sex, ethnicity, and community type were not significantly associated with immunization status in the adjusted model. However, confidence intervals are wide and clinically meaningful differences cannot be excluded.
Discussion
In this study, we assessed routine immunization coverage among children aged 18 months to 6 years in 13 high-malaria-prevalence (>20%) communities in urban and peri-urban Malabo district. Overall 29% of children were fully immunized, having received all scheduled routine immunizations according to the national EPI schedule (Table 1). This coverage estimate reflects the situation in communities selected for high malaria transmission, which tend to be more remote and have lower socioeconomic status and reduced access to health services compared to other areas of Malabo District.
According to WHO/UNICEF estimates, national routine immunization coverage in Equatorial Guinea in 2018 was 54% [4]. In our study, coverage for most individual vaccines exceeded 50%, with the exception of yellow fever vaccine, which had lower coverage (34%) because it was introduced only 2 years prior. The lower overall coverage observed in our study (29% fully immunized) compared to national estimates likely reflects the characteristics of the study population; communities with high malaria burden that may face greater barriers to accessing health services. In similar studies, vaccines administered in the first months of life, such as BCG, OPV, and the first dose of PENTA, tend to have higher coverage than those administered later, such as PENTA-3, IPV, and measles [21]. This pattern, which we also observed, has been attributed to drop out and missed opportunities for vaccination [22, 23]. Wallace et al. demonstrated that simple reminders could help prevent dropout by ensuring that children return to complete the full immunization schedule [24].
Coverage estimates were similar whether verified by vaccination card (28%) or caregiver recall (30%), a difference of only 2 percentage points. These results are consistent with other community-based studies that have found comparable estimates between verification methods [25–27]. WHO and UNICEF estimates for, Malabo District reported a slightly higher difference of 7 percentage points with vaccination card verification coverage of 30% and recall based coverage of 37% [3, 7]. WHO and UNICEF recommend using both cards and caregiver recall to estimate vaccination coverage [28–30]. Tesfaye et al. suggested using immunization cards only, as they are more valid and reliable than caregiver recall, to avoid recall bias [21] however, this approach may introduce selection bias, as caregivers who retain cards may be more likely to have fully immunized children [31].
In our study, there was no evidence of an association between sex, ethnicity, school attendance, or community type (urban or peri-urban) and immunization status. However, we cannot exclude the possibility of such associations given the small sample size and the resulting wide confidence intervals. These factors have been associated with children’s immunization status in studies from Nigeria, Kenya, and India [15, 32–36] where ethnicity in particular was associated with a child being fully immunized. Those countries have greater ethnic diversity whereas in our study, three out of four (74%) children belonged to the Fang ethnic group, limiting our ability to detect ethnic differences. Additionally, all participants were from Bioko Island, with no representation from the mainland or other islands of Equatorial Guinea, which may limit generalizability.
In many studies, age has been associated with the completion of immunization [25, 33, 37]. Consistent with prior studies [17, 38], we found that older children (2–5.9) years were less likely to be fully immunized (22%) compared with younger children 18 months −2 years (45%). This finding may reflect improved program performance in recent years, resulting in higher coverage among more recently vaccinated children. Alternatively, it may be due to recall bias among caregivers of older children who no longer have vaccination cards and must rely on memory of vaccinations received several years earlier.
Children aged 12–23 months are the standard population for immunization coverage surveys [1, 29, 39]. Our study used a different age range (18 months to 6years) because the sample was drawn from the parent study EGRESPAR, which enrolled participants across a broader age range. While this limits direct comparability with standard surveys, it allowed us to examine coverage among older children, who are less frequently studied.
Only one prior study in Equatorial Guinea has examined the behaviors of individuals, families, and communities toward vaccine-preventable diseases and childhood immunization [13]. Further research is needed to examine various factors that may influence children’s immunization status, including maternal age, education, and socioeconomic status, as well as health system factors that contribute to missed vaccination opportunities [22, 38, 40, 41]. Studies in Kenya have identified associations between immunization status and maternal income, education, household wealth [42], and the child’s birthplace [32, 43]. Research has also found associations between full immunization and caregivers’ knowledge of vaccines and proximity to health facilities [40]. This study lays the foundation for further research to understand barriers to immunization completion in Equatorial Guinea.
The EPI program in Equatorial Guinea has made notable progress in routine immunization, successfully eliminating two vaccine-preventable diseases: poliomyelitis and maternal and neonatal tetanus [44, 45] However, gaps remain, particularly in communities such as those studied here that may face greater barriers accessing health services. The findings suggest the need for multifaceted approaches that address both systemic and community-level barriers to improve immunization rates effectively. A Cochrane review by Oyo-ita et al. identified several effective strategies for improving childhood immunization coverage [46]. These include integrating immunization with other health services such as intermittent preventive treatment of malaria to support child health interventions [47]. Using home-based records combined with health education [48] and engaging community leaders to foster trust and participation was also proposed [49]. Integrated, community-based approaches may be particularly relevant for improving coverage in our study communities. Strategies to increase vaccination coverage in study communities and similar settings could include expanded mobile vaccination outreach to remote and underserved areas, and strengthened community health worker programs to deliver vaccine education, send vaccination reminders, and track immunization status.
This study has several limitations. The sample was drawn from communities selected for high malaria transmission, which are not representative of Malabo District as a whole. These communities tend to have lower socioeconomic status and may have reduced access to health services, which could explain the lower coverage observed compared to national estimates. Selection bias may have affected our findings: we only included healthy children, and parents who responded to the EG-RESPAR invitation and who may have been more engaged with healthcare services than non-respondents. However, coverage in our sample remained low (29%).
Recall bias is a common limitation in immunization studies as caregivers may under- or over- report vaccination when cards are not available [30, 31]. In our study, however, coverage estimates from caregiver recall (30%) were only marginally higher than those from vaccination cards (28%), suggesting that recall bias, did not substantially inflate our overall estimates. However, it is possible that recall bias varies by age. To minimize recall bias, we asked caregivers to identify the health facilities where their children received routine vaccinations. However verification at health facilities was only possible for children vaccinated on Bioko Island: some families had relocated from other parts of the country, and we could not access facility records for them. Only two of the children in our study were completely unvaccinated, whereas the 2011 Demographic and Health Survey (DHS) reported 25% unvaccinated children nationally [5]. This difference may reflect improvements in the national program over the intervening years, differences in sample characteristics or both. The low proportion of unvaccinated children in our sample meant we could not examine factors associated with complete non-vaccination.
Conclusion
Routine immunization coverage among children aged 18 months to 6 years in high malaria transmission communities of Malabo District was 29%, lower than national estimates for ages 12–23 months. This likely reflects the characteristics of the study population; age differences and communities that may face greater barriers to health service access due to their peri-urban location and lower socioeconomic status. Younger children had higher completion rates than older children, possibly reflecting recent improvements in program performance or recall bias. Further studies with larger sample sizes, including both quantitative and qualitative approaches, are needed to understand the barriers to immunization completion in underserved communities and to inform targeted interventions. Despite its limitations, this study contributes to the evidence base for strengthening routine immunization programs in Equatorial Guinea.
Statements
Data availability statement
Research data supporting this publication are available from the Ministry of Health, Welfare and Health Infrastructure in Equatorial Guinea, Department of Public Health and Traditional Medicine and https://github.com/eeburilo/immunization-EG.git.
Ethics statement
The studies involving humans were approved by National Ethics Committee of Equatorial Guinea (CENGE) Ifakara Health Institute (IHI) Institutional Review Board (IRB) Ethikkommission Nordwest-und Zentralschweiz (EKNZ). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin. Written informed consent was obtained from the minor(s)’ legal guardian/next of kin for the publication of any potentially identifiable images or data included in this article.
Author contributions
EE contributed to the design and implementation of the research. EE, ML, TA, and GG supported data collection. AR and GG assisted with data analysis. AR, SM, and EE wrote the manuscript collaboratively. SM and CD supervised the project and provided guidance for the development of the research proposal. All authors contributed to the article and approved the submitted version.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This study received support from the Equatorial Guinea Malaria Vaccine Initiative Project of MCD Global Health and the Swiss Tropical and Public Health Institute (SwissTPH).
Conflict of interest
The authors declare that they do not have any conflicts of interest.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
References
1.
WHO. The Expanded Programme on Immunization (2013).
2.
INEGE. Anuario Estadistico de Guinea Ecuatorial (2018).
3.
WHO, UNICEF. WHO UNICEF Immunization Coverage Estimates 2021 Revision (2022).
4.
MdSyBSMinisterio de Economía PeIP. Encuesta Demografica y de Salud de Guinea Ecuatorial (EDSGE) (2012).
5.
WHO, UNICEF. WHO UNICEF Immunization Coverage Estimates 2018 Revision (2019).
6.
SakasZHesterKARodriguezKDiattaSAEllisASGueyeDMet alCritical Success Factors for High Routine Immunization Performance: A Case Study of Senegal. Vaccin X (2023) 14:100296. 10.1016/j.jvacx.2023.100296
7.
WHO/UNICEF. WHO and UNICEF Estimates of National Immunization Coverage. Geneva, Switzerland: World Health Organization (2022).
8.
WHO, UNICEF. WHO and UNICEF Estimates of Immunization Coverage: 2022 Revision (2023).
9.
WHO. Weekly Epidemiological Record (2017). p. 333–4.
10.
GuineaE. Equatorial Guinea Millennium Development Goals Report (2015).
11.
OrganizationWH. Global Vaccine Action Plan 2011-2020 (2013). p. 77. 978 92 4 150498 0.
12.
WHO, UNICEF. Equatorial Guinea: WHO and UNICEF Estimates of Immunization Coverage: 2016 Revision (2016).
13.
UNICEF. Comportamientos Actuales De Las Familias a Cerca De La Polio, Las Campañas De Vacunación Y Los Servicios De Rutina. In: Social MdSyB (2015).
14.
MacDonaldNMohsniEAl-MazrouYAndrusJKAroraNEldenSet alGlobal Vaccine Action Plan Lessons Learned I: Recommendations for the next Decade. Vaccine (2020) 38(33):5364–71. 10.1016/j.vaccine.2020.05.003
15.
OlorunsaiyeCZDeggeH. Variations in the Uptake of Routine Immunization in Nigeria: Examining Determinants of Inequitable Access. Glob Health Commun (2016) 2(1):19–29. 10.1080/23762004.2016.1206780
16.
NchamaVSaidAHMtoroABidjimiGOOwonoMAMayeERMet alIncidence of Plasmodium falciparum Malaria Infection in 6-Month to 45-Year-Olds on Selected Areas of Bioko Island, Equatorial Guinea. Malar J (2021) 20(1):322. 10.1186/s12936-021-03850-8
17.
AsumanDAckahCGEnemarkU. Inequalities in Child Immunization Coverage in Ghana: Evidence from a Decomposition Analysis. Health Econ Rev (2018) 8(1):9. 10.1186/s13561-018-0193-7
18.
GarcíaGAPhiriWPPerryMSmithJNfumuJOONzamioJet alGuerra Mapping and Enumerating Houses and Households to Support Malaria Control Interventions on Bioko Island. Malar J (2019) 18(283). 10.1186/s12936-019-2920-x
19.
AhmedNDeRoeckDSadr-AzodiN. Private Sector Engagement and Contributions to Immunisation Service Delivery and Coverage in Sudan. BMJ Glob Health (2019) 4(2):e001414. 10.1136/bmjgh-2019-001414
20.
MurrayCJLAravkinAYZhengPAbbafatiCAbbasKMAbbasi-KangevariMet alGlobal Burden of 87 Risk Factors in 204 Countries and Territories, 1990–2019: A Systematic Analysis for the Global Burden of Disease Study 2019. The Lancet (2020) 396(10258):1223–49. 10.1016/S0140-6736(20)30752-2
21.
TesfayeTDTemesgenWAKasaAS. Vaccination Coverage and Associated Factors Among Children Aged 12 – 23 Months in Northwest Ethiopia. Hum Vaccin & Immunother (2018) 14(10):2348–54. 10.1080/21645515.2018.1502528
22.
JaniJVDe SchachtCJaniIVBjuneG. Risk Factors for Incomplete Vaccination and Missed Opportunity for Immunization in Rural Mozambique. BMC Public Health (2008) 8:161. 10.1186/1471-2458-8-161
23.
AregawiHGGebrehiwotTGAbebeYGMelesKGWunehAD. Determinants of Defaulting from Completion of Child Immunization in Laelay Adiabo District, Tigray Region, Northern Ethiopia: A Case-Control Study. PLoS One (2017) 12(9):e0185533. 10.1371/journal.pone.0185533
24.
WallaceASPeetosutanKUntungARicardoMYosephinePWannemuehlerKet alHome-Based Records and Vaccination Appointment Stickers as Parental Reminders to Reduce Vaccination Dropout in Indonesia: A Cluster-Randomized Controlled Trial. Vaccine (2019) 37(45):6814–23. 10.1016/j.vaccine.2019.09.040
25.
RussoGMigliettaAPezzottiPBiguiohRMBouting MayakaGSobzeMSet alVaccine Coverage and Determinants of Incomplete Vaccination in Children Aged 12-23 Months in Dschang, West Region, Cameroon: A Cross-Sectional Survey During a Polio Outbreak. BMC Public Health (2015) 15:630. 10.1186/s12889-015-2000-2
26.
AllanSAdetifaIMOAbbasK. Inequities in Childhood Immunisation Coverage Associated with Socioeconomic, Geographic, Maternal, Child, and Place of Birth Characteristics in Kenya. BMC Infect Dis (2021) 21(1):553. 10.1186/s12879-021-06271-9
27.
WatersHRDoughertyLLongKWolfeNDTegangS-PTranNet alCoverage and Costs of Childhood Immunizations in Cameroon. Wold Health Organ Bull (2004) 82(9):668–75.
28.
WHO. Vaccination Coverage Cluster Surveys: Reference Manual (2015).
29.
WHO. Vaccination Coverage Cluster Surveys: Reference Manual (2018).
30.
MilesMToveKRDietzVZellELumanET. Validity of Vaccination Cards and Parental Recall to Estimate Vaccination Coverage: A Systematic Review of the Literature. Vaccine (2013) 31(12):1560–8. 10.1016/j.vaccine.2012.10.089
31.
MbengueMASSarrMFayeABadianeOCamaraFBNMboupSet alDeterminants of Complete Immunization Among Senegalese Children Aged 12-23 Months: Evidence from the Demographic and Health Survey. BMC Public Health (2017) 17(1):630. 10.1186/s12889-017-4493-3
32.
MutuaMKKimani-MurageEEttarhRR. Childhood Vaccination in Informal Urban Settlements in Nairobi, Kenya: Who Gets Vaccinated?BMC Public Health (2011) 11(1):6. 10.1186/1471-2458-11-6
33.
FrancisMRNohynekHLarsonHBalrajVMohanVRKangGet alFactors Associated with Routine Childhood Vaccine Uptake and Reasons for Non-Vaccination in India: 1998-2008. Vaccine (2018) 36(44):6559–66. 10.1016/j.vaccine.2017.08.026
34.
VasudevanaLabriqueABMehraSWuLLevineOFeikinDet alMaternal Determinants of Timely Vaccination Coverage Among Infants in Rural Bangladesh. Vaccine (2014) 32(42):5514–9. 10.1016/j.vaccine.2014.06.092
35.
AdenikeOBAdejumokeJOlufunmiORidwanO. Maternal Characteristics and Immunization Status of Children in North Central of Nigeria. Pan Afr Med J (2017) 26:159. 10.11604/pamj.2017.26.159.11530
36.
SullivanMCTegegnATessemaFGaleaSHadleyC. Minding the Immunization Gap: Family Characteristics Associated with Completion Rates in Rural Ethiopia. J Community Health (2010) 35(1):53–9. 10.1007/s10900-009-9192-2
37.
IbnoufABorneHVMaarseJ. Factors Influencing Immunisation Coverage Among Children Under Five Years of Age in Khartoum State, Sudan. South Afr Fam Pract (2007) 48(8):14–f. 10.1080/20786204.2007.10873611
38.
SantorelliGWestJMasonDCartwrightCInamdarLTomesCet alFactors Associated with the Uptake of the UK Routine Childhood Immunization Schedule in a Bi-Ethnic Population. Eur J Public Health (2020) 30(4):697–702. 10.1093/eurpub/ckaa069
39.
WHO/EPI. Harmonizing Vaccination Coverage Measures in Household Surveys: A Primer. Geneva, Switzerland: World Health Organization (2019).
40.
EzePAguUJAnieboCLAguSALawaniLOAcharyaY. Factors Associated with Incomplete Immunisation in Children Aged 12-23 Months at Subnational Level, Nigeria: A Cross-Sectional Study. BMJ Open (2021) 11(6):e047445. 10.1136/bmjopen-2020-047445
41.
SchoepsAOuedraogoNKagoneMSieAMullerOBecherH. Socio-Demographic Determinants of Timely Adherence to BCG, Penta3, Measles, and Complete Vaccination Schedule in Burkina Faso. Vaccine (2013) 32(1):96–102. 10.1016/j.vaccine.2013.10.063
42.
CalhounLMEijkAMLindbladeKAOdhiamboFOWilsonMLWinterbauerEet alDeterminants and Coverage of Vaccination in Children in Western Kenya from a 2003 Cross-Sectional Survey. Am J Trop Med Hyg (2014) 90(2):234–41. 10.4269/ajtmh.13-0127
43.
MastersNBWagnerALCarlsonBFMuuoSWMutuaMKBoultonML. Childhood Vaccination in Kenya: Socioeconomic Determinants and Disparities Among the Somali Ethnic Community. Int J Public Health (2019) 64(3):313–22. 10.1007/s00038-018-1187-2
44.
UNICEF. Country Office Annual Report Equatorial Guinea (2017).
45.
EcuatorialG. Pais Libre de Polio [Press Release]. Equatorial Guinea: UNICEF Equatorial Guinea, Malabo. Online (2019).
46.
Oyo-ItaAOduwoleOArikpoDEffaEEEsuEBBalakrishnaYet alInterventions for Improving Coverage of Childhood Immunisation in Low- and Middle-Income Countries. Cochrane Database Syst Rev (2023) 12(12):CD008145. 10.1002/14651858.CD008145.pub4
47.
DickoADialloAITembineIDickoYDaraNSidibeYet alIntermittent Preventive Treatment of Malaria Provides Substantial Protection Against Malaria in Children Already Protected by an Insecticide-Treated Bednet in Mali: A Randomised, Double-Blind, Placebo-Controlled Trial. Plos Med (2011) 8(2):e1000407. 10.1371/journal.pmed.1000407
48.
MaldonadoLYBoneJScanlonMLAnusuGChelagatSJumahAet alImproving Maternal, Newborn and Child Health Outcomes Through a Community-Based Women’s Health Education Program: A Cluster Randomised Controlled Trial in Western Kenya. BMJ Glob Health (2020) 5(12):e003370. 10.1136/bmjgh-2020-003370
49.
Oyo-ItaABosch-CapblanchXRossAOkuAEsuEAmehSet alEffects of Engaging Communities in Decision-Making and Action Through Traditional and Religious Leaders on Vaccination Coverage in Cross River State, Nigeria: A Cluster-Randomised Control Trial. PLoS One (2021) 16(4):e0248236. 10.1371/journal.pone.0248236
Summary
Keywords
Africa, Bioko Island, immunization, malaria, vaccination coverage
Citation
Eburi Losoha E, Lopez Mikue MSA, García GA, Athuman T, Ross A, Daubenberger C and Merten S (2026) Immunization Coverage and Associated Factors Among Children Aged 18 to 72 Months in Communities With High Malaria Transmission, Bioko Island. Int. J. Public Health 71:1608466. doi: 10.3389/ijph.2026.1608466
Received
27 February 2025
Revised
25 March 2026
Accepted
10 April 2026
Published
07 May 2026
Volume
71 - 2026
Edited by
Rebecca Nantanda, Makerere University, Uganda
Reviewed by
Damalie Nalwanga, Makerere University, Uganda
Bernard Kikaire, Makerere University, Uganda
Updates
Copyright
© 2026 Eburi Losoha, Lopez Mikue, García, Athuman, Ross, Daubenberger and Merten.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Esther Eburi Losoha, esther.eburi@swisstph.ch
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.