Frequency and correlates of non-receipt of age-appropriate vaccination among children aged 6-35 months with medically attended diarrhea: Findings from the Enterics for Global Health (EFGH) <i>Shigella</i> study, 2022-2024
Figures
Abstract
Complete childhood immunization protects children from long-term health complications and disabilities caused by vaccine-preventable diseases. Enterics for Global Health (EFGH)-Shigella surveillance was a two-year study measuring incidence rates and consequences of Shigella among children aged 6–35 months in seven sites located in Asia, Latin America and Africa. Here, we estimated the prevalence and factors associated with non-receipt of age-appropriate vaccination among children enrolled in the EFGH-Shigella study. In this nested cross-sectional study, we analysed data from 7,932 children aged 6–35 months presenting with medically attended diarrhea (MAD). Vaccines recommended per each country’s national immunization schedule were extracted from medical records and risk factors were collected by caregiver interview and physical exam. We defined age-appropriate vaccines as receipt of the early childhood vaccinations within one month of the recommended age, according to the national immunization schedule, on the immunization card. Poison regression was used to identify independent factors associated with non-receipt of age-appropriate vaccination accounting for all covariates. Over half of enrolled children (51.7%) did not receive all age-appropriate vaccines most commonly in The Gambia (75.2%) and least frequently in Bangladesh (22.3%). Children 12–35 months of age were more likely not have all age appropriate vaccines compared to children 6–11 months (aPR: 1.47, 95%CI 1.39 to 1.54), children who came from households with ≥3 children aged <5 years (aPR:1.07;1.01-1.13), had mothers with low education (aPR:1.18; 1.12-1.24), and were wasted (Moderately: aPR: 1.06; 1.00-1.13; Severely: aPR: 1.13, 1.03-1.24) were more likely to miss all age-appropriate vaccines compared to their counterparts who did not. Non-receipt of age-appropriate vaccination was largely age dependent, driven by mother’s education and severe wasting highlighting the need to design effective strategies that incorporate site complexities to improve timely vaccination targeting vulnerable groups.
Citation: Oreso C, Ogwel B, Awuor AO, Anyango RO, Kotloff K, Hossain MJ, et al. (2026) Frequency and correlates of non-receipt of age-appropriate vaccination among children aged 6-35 months with medically attended diarrhea: Findings from the Enterics for Global Health (EFGH) Shigella study, 2022-2024. PLOS Glob Public Health 6(7): e0005670. https://doi.org/10.1371/journal.pgph.0005670
Editor: Tintu Varghese, Christian Medical College Vellore, INDIA
Received: December 8, 2025; Accepted: May 16, 2026; Published: July 1, 2026
Copyright: © 2026 Oreso et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The de-identified and anonymized EFGH datasets, data dictionaries, statistical analysis plan, case report forms (CRFs), and study protocol were made available on the Vivli repository (December 2025). Due to legal and ethical restrictions regarding participant privacy and data governance, access to these data and supporting documents is restricted and requires the execution of a Data Use Agreement. Qualified researchers may request access to the data through the Vivli platform at https://search.vivli.org/doiLanding/studies/PR00011860/isLanding, subject to approval by the data provider and the repository’s independent review panel.
Funding: This work was supported by the Gates Foundation (INV-031791 to PBP, INV-045988 to PBP, INV-062665 to PBP, and INV-076498 to PBP). The funders had no role in study design, data collection, analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Infectious diseases are the major cause of morbidity and mortality in low-and-middle-income countries (LMICs) [1]. Globally, in 2019, the proportion of disability-adjusted life-years (DALYs) associated with potential vaccine preventable infectious diseases in children under-5 years was highest in sub-Saharan Africa, South Asia and Latin America [2]; the same places with the lowest vaccine uptake [3]. In 2019, vaccine preventable deaths from diarrhea alone accounted for nearly ten percent of all under-5 deaths [1].
Immunization is a proven lifesaving intervention and several vaccines exist for infectious diseases such as rotavirus, measles, tuberculosis, tetanus, diphtheria, polio, and pertussis. However, despite the preventability of these diseases and universal availability of early childhood vaccinations, these conditions continue to be the main drivers of morbidity and mortality in LMICs [2]. In 2023, two years after the World Health Organization (WHO) kicked off the ambitious new Immunization Agenda 2030 (IA2030), 40.8% of children did not receive any diphtheria, pertussis, and tetanus vaccinations [4]. Few studies have quantitatively examined age-appropriate vaccination in LMICs and those that have, are often limited by small sample sizes and focused on single-country contexts [5–7]. By leveraging data from the Enterics for Global Health (EFGH) Shigella surveillance study—which spans countries across Africa, South Asia, and Latin America—our study provides an added advantage of a large, diverse sample that provides broader insights across multiple settings with demand for vaccination against infectious diseases. Understanding factors of non-receipt of age appropriate vaccination in LMICs could help inform resource allocation and strategies aimed at optimising vaccine uptake, and help achieve child health targets.
EFGH study is a two-year study designed to establish baseline incidence rates and consequences of Shigella diarrhea with the intent to inform Shigella vaccine trials and introduction in countries with the highest disease burden [8]. Here, we estimated prevalence and factors associated with non-receipt of age-appropriate vaccination among children aged 6–35 months enrolled with medically attended diarrhea (MAD) in the EFGH study.
Methods
Study setting and population
Definitions
Vaccine completeness included assessing vaccine receipt and timing of the following vaccines: Bacillus Calmette-Guérin (BCG), Polio, DPT (Diphtheria, Pertussis and Tetanus) Hepatitis B, Haemophilus influenzae type b (Hib), Rotavirus, Measles-containing vaccine (MCV) (Measles+Mumps+Rubella; Measles+Rubella; Measles) and Pneumococcal conjugate vaccine (PCV). Rotavirus vaccination has not been introduced into the national immunization schedule in Bangladesh therefore considered vaccines receipt as above except Rotavirus to meet the complete vaccine definition in Bangladesh. The country-specific routine immunization schedules are shown in S1 Table.
Non-receipt of age-appropriate vaccination was defined as absence of a record of having received all the eight (or seven for Bangladesh) vaccinations within one month of the recommended age, according to the national immunization schedule, on the immunization card. For each individual vaccine, non-receipt was defined as the absence of card-confirmed documentation of the age-appropriate dose(s) in accordance with the national immunization schedule, allowing for a one-month delay.
Diarrhea was defined as a caregiver report of three or more abnormally loose or watery stools in the previous 24 hours.
Medically attended diarrhea (MAD) was defined as diarrhea that led to seeking care at a designated EFGH study sentinel facility by the caregiver.
Household socioeconomic status was measured using asset-based wealth indices derived from country-specific indicators, including housing characteristics, access to water and sanitation, and ownership of durable assets. A composite score was generated as a weighted sum of these variables, following established Demographic and Health Surveys (DHS) methodology [16]. Two indices were constructed: a national wealth index, which used country-specific weights and cut-offs to assign households into national quintiles, and where applicable (Bangladesh, Malawi, Mali, Pakistan, and Peru), an urban-specific index, derived using weights and quintiles restricted to urban populations to better capture within-urban socioeconomic variation. Depending on whether the study catchment area was urban or rural/mixed, participants were assigned wealth quintiles using the corresponding index. Quintiles were categorized as 1 (lowest) to 5 (highest) wealth.
Study design
This was a secondary, cross-sectional analysis of baseline data collected in the EFGH study.
Data collection
The information collected included basic patient and family demographics, geographic, socio-economic and clinical characteristics, water and sanitation variables as described elsewhere [17]. Vaccination information was abstracted from the immunization cards.
Statistical analysis
Frequencies and percentages were used to summarize the vaccination status of children with reported MAD. Overall and site-specific estimates for each vaccine and overall age-appropriate vaccination were calculated. We estimated both overall and site-specific prevalence of zero-dose status and full immunization among children aged ≥12 months. Zero-dose status was defined using two complementary criteria: (i) children who had not received the first dose of a diphtheria–tetanus–pertussis (DTP)-containing vaccine; and (ii) children who had not received any doses of Bacille Calmette–Guérin (BCG), polio, pentavalent, or measles-containing vaccines (MCV) [18]. Full immunization was defined as receipt of all eight doses recommended under the Expanded Programme on Immunization (EPI): one dose of BCG, three doses each of pentavalent and polio vaccines, and one dose of a measles-containing vaccine [19]. We employed descriptive statistics to summarize factors associated with non-receipt of age-appropriate vaccination. Continuous variables were presented using median and interquartile range, and comparisons between groups were performed using the Wilcoxon Rank-Sum test. Categorical variables were summarized using frequencies and proportions, and group comparisons were conducted using the Chi-square test.
Poisson regression was used to identify factors associated with non-receipt of age-appropriate vaccination; the main binary outcome of interest which has been described previously [20]. Initially, all potential predictor factors were assessed in separate individual bivariate Poisson regression models. Variables with a p-value < 0.2 were included and retained in the final multivariable in the model. To estimate the crude and adjusted prevalence ratios crude and adjusted and their corresponding 95% confidence intervals, we employed Poisson regression with robust standard errors to account for potential overdispersion and clustering at the country level. The goodness-of-fit of the final model was assessed using the deviance-to-degrees-of-freedom ratio, with values approaching 1.0 indicating adequate model fit.
We also conducted sensitivity analyses, stratifying the models by age and site, separately.
Results
From June 2022 to August 2024, we screened 30,191 children with MAD; of whom 9,476 (31.4%) were enrolled in the EFGH study (Fig 1).
We excluded 1,544 (16.3%) children in this secondary analysis due to missing a vaccine card. Of the 7,932 children included, the median (interquartile range [IQR]) age of the children analysed was 14 (9–21) months and 4,296 (54.2%) children were male. The caregiver’s median (IQR) age was 25 (22–30) years and 52.2% of these were mothers who had low education (primary school only or no education). Approximately 22% of children were stunted. Majority (76.0%) of caregivers were not working at the time the child was enrolled in this study. Among the children enrolled 4,617 (58.2%), 1,385 (17.5%), 1,930 (24.3%) had mild, moderate and severe diarrhea, respectively (Table 1).
Prevalence of non-receipt of age-appropriate vaccination
Among the 7,932 children included, 4,100 (51.7%) had not received all age-appropriate vaccinations at the time of enrolment (Fig 1). In general, the prevalence of non-receipt of age-appropriate vaccination varied across the study sites with The Gambia reporting the highest (75.2%) and Bangladesh the lowest prevalence (22.3%) (Table 2). Overall, the three vaccines with the highest prevalence of age-appropriate non-receipt were polio, MCV and PCV at 26.8%,19.3% and 14.1%, respectively. The vaccine with the lowest non-receipt of age appropriate vaccination uptake across all sites was BCG (2.5%).
The overall prevalence of zero- dose children based on DPT, zero-dose based on BCG, DPT, Polio and Measles, and fully -immunized children were 1.1%, 0.0% and 54.3%, respectively (S2 Table). Measles (32.9%) and BCG (2.6%) were the leading vaccines with zero-dose children overall.
Factors associated with non-receipt of age-appropriate vaccination
Compared to children aged 6–11 months of age, children 12 months and above had a higher likelihood of missing all age-appropriate vaccines (Table 3). Similarly, compared to Kenya, all other EFGH country sites were less likely to have children missing age-appropriate vaccines with Bangladesh (adjusted Prevalence Ratio [aPR]:0.32, [95%CI: 0.28-0.36]) and Peru (aPR: 0.50; 0.45-0.56) being the least likely to have children missing vaccines. Additionally, children who came from households with ≥3 children aged <5 years (aPR:1.07;1.01-1.13), had mothers with low education (aPR:1.18; 1.12-1.24), and were wasted (Moderately: aPR: 1.06; 1.00-1.13; Severely: aPR: 1.13, 1.03-1.24) were more likely to miss all age-appropriate vaccines compared to their counterparts who did not. Moreover, children who had subsequent diarrheal episodes after the index episode were more likely to miss all age-appropriate vaccines compared to their counterparts who did not (aPR: 1.05; 1.00-1.1) (Table 3).
Conversely, children who came from wealthier households compared to least wealthy households (Quintile 2: (aPR: 0.93; 0.88-0.99) Quintile 3: (aPR: 0.92; 0.86-0.99) Quintile 5: (aPR: 0.88; 0.77-0.99) were less likely to miss all age-appropriate vaccinations. Compared to caregivers aged < 20 years, those who were older were less likely to have children with non-receipt of age appropriate vaccination; 20–24yrs; (aPR: 0.91; 0.84-0.99) 25–29yrs; (aPR: 0.88; 0.81-0.96); ≥ 35 yrs.; (aPR: 0.86; 0.78-0.95) (Table 3).
While we observed site-variations in the factors associated with non-receipt of age-appropriate vaccination, child’s age and mother’s education were significantly associated with non-receipt of age-appropriate vaccination across six and three sites respectively (S3 Table). Furthermore, we observed non-receipt of age appropriate vaccination to be less common in all study sites compared to Kenya but low mother’s education was positively associated with non-receipt of age-appropriate vaccinations in both infants (aPR:1.19 [1.08-1.32] and older children (aPR:1.18 [1.11-1.25] regardless of the site. Other factors observed in our study to be positively associated with non-receipt of age-appropriate vaccination included: low father’s education (aPR:1.12 [1.01-1.24], wealth quintile 4 (aPR:1.18 [1.00-1.39], dysentery (aPR:1.23 [1.09-1.40] and some dehydration (aPR:1.23 [1.10-1.38] among infants and high heart rate (aPR:1.43 [1.26-1.63] and severe wasting (aPR:1.12 [1.01-1.23] among older children (≥ 12 months) (Table 4).
Discussion
More than half (52%) of the children enrolled in our study did not receive age-appropriate vaccination, with The Gambia reporting the highest prevalence (75.2%) and Bangladesh the lowest (22.3%). Vaccines with the highest prevalence of non-receipt of age-appropriate vaccination regardless of the site were: Polio (27%), MCV (19%) and PCV (14%) while BCG (3%) was the lowest, suggesting variations in missed opportunities for vaccination across the sites. Furthermore, predictors of non-receipt of age-appropriate vaccination included older age (24–35 months), severe wasting, caregivers taking care of three or more children <5 years in a household, low caretaker education and lower wealth index
Our findings suggest that more than half of the children enrolled in this study did not receive age-appropriate vaccination is important for several reasons. It suggests that a larger proportion of these children are inadequately protected against the intended vaccine preventable diseases, and that vaccine implementers in these settings should more than double their efforts in vaccinating children with Polio, MCV and PCV vaccines. This observation can possibly explain the persistently high infectious disease burden in these settings despite existing and routine vaccination programs. Our findings on low adherence for Polio, MCV and PCV are consistent with estimates from other recent studies showing that none of these countries may achieve the target for the third dose of Polio vaccine and measles at the regional level [21]. The reasons for delay in, or missing, the measles vaccine could include it being a single dose vaccine and that it targets children at a later age [22], consistent with observations from other resource poor settings [23]. The relatively high prevalence of delayed polio vaccination observed across several sites may reflect a combination of programmatic and measurement-related factors [24]. Polio vaccination requires multiple doses administered over time, increasing the likelihood of incomplete schedules due to missed visits or dropout. In addition, global supply constraints, particularly for IPV, and inequities in access may contribute to inconsistent availability in some settings. Differences in delivery platforms, with OPV often administered through campaigns that may not be consistently documented on vaccination cards, could further lead to underestimation of coverage. The highest adherence to BCG vaccination is consistent with previous observations [21], and could be explained by an increasing trend in hospital births that usually coincides with the vaccine’s schedule [23,25,26].
Despite the co-administration of DPT, HepB, and Hib as part of the pentavalent vaccine across all study sites, we observed discrepancies in antigen-specific coverage estimates in some countries. These differences are unlikely to reflect true variation in vaccine receipt, but rather may be attributable to heterogeneity in vaccination card documentation, data abstraction practices, and variable coding of pentavalent doses into antigen-specific fields. In settings where pentavalent vaccines are recorded as a single entry or where card completeness varies, differential misclassification of individual antigens may arise. These findings highlight the importance of standardized approaches to vaccination data capture and suggest that antigen-specific estimates derived from card data should be interpreted with caution.
Vaccination adherence declined with an increase in age, especially for vaccines scheduled later in childhood. This suggests caregivers’ domestic or socio-economic activities that may compete against taking their children for timely vaccination [27]. This finding may also be partly attributable to a cumulative probability effect, whereby older children, who are eligible for a greater number of vaccine doses, have a higher likelihood of missing at least one. This pattern may also reflect waning adherence to vaccination schedules over time and highlights the importance of strengthening follow-up and completion of multi-dose vaccine series. Worth noting from our study, is an observation that severe wasting, was associated with non-receipt of age appropriate vaccination, a finding that is consistent with literature from a systematic review by Favin et al [28].These findings may be explained in part by healthcare providers opting to defer vaccination in severely malnourished children due to safety concerns based on a perception that malnourished children may not tolerate vaccines well or may have reduced immune responses, leading to uncertainty about both safety and effectiveness as well as fear of adverse reactions [28,29]. Moreover, the association with wasting could also be explained by wasted children possibly coming from families who have less resources, less education, and overall tend to prioritize food and survival over health care attendance [30]. Additionally, three or more children under the same caregiver was also a driver of non-receipt of age-appropriate vaccination, with younger children being given priority over older children in such households, an observation which is consistent with some existing literature [5]. Our finding that children with MAD whose mothers reported lower education were more likely to have non-receipt of age-appropriate vaccination than their counterparts is in line with findings from other previous studies [31,32].
Children from relatively less wealthy or poor households were more likely to report non-receipt of age-appropriate vaccination, which is likely related to caregivers’ financial constrains which limit their free time due to competing economic engagements as a priority over taking their children for vaccination as observed in other previous studies [33,34]. Furthermore, caregivers with primary or less education were more likely to report a child with non-receipt of age-appropriate vaccination, possibly due to their lack of awareness of Expanded Programme on Immunization (EPI) schedules and associated benefits [35].
Our findings have several public health implications. First, maternal related factors are important drivers of age-appropriate vaccination in children from resource poor settings. Second, to optimize adherence to vaccine schedules, monitoring of context specific drivers of EPI schedules could improve vaccine uptake and enhance child survival strategies by targeting vulnerable children. Third, understanding factors associated with non-receipt of age-appropriate vaccination in LMICs could help inform resource allocation and strategies aimed at optimizing targeted individual vaccine uptake. Finally, should Shigella vaccine introduction target late infancy, then policy makers and vaccine implementers may need to consider innovative approaches to bolster its coverage given the observed EPI adherence challenges with vaccine administration in this age group [21].
Our study is subject to limitations. First, it was not powered to detect drivers of non-age-appropriate vaccination and vaccine promptness, hence our data needs to be interpreted with caution. Second, the impact of vaccine stock-outs, for instance stock-out of rotavirus vaccine in Kenya during the study period, was not evaluated in our study to help contextualize the results. Third, antenatal care data could complement and enhance understanding factors influencing receipt of age-appropriate vaccination in future studies. Fourth, inconsistent adoption of vaccines into national EPI schedules across sites, such as Bangladesh not implementing rotavirus vaccination, may have limited our ability to comprehensively capture all relevant patterns of overall non-receipt vaccination assessment. Finally, the relatively stringent inclusion and exclusion criteria inherited from the parent study limits generalizability particularly among more mobile populations and children without documented immunization histories.
Conclusion
Our study found that the prevalence of non-receipt of age-appropriate vaccination is significantly high across the sites. Given the variation, researchers need to carry out more studies to determine the potential causes of the variation by including additional explanatory variables, such as factors connected to health care services which can be valuable for policy makers in these settings.
From the policy perspective, our study highlights the critical role of engagement with health services and caregiver education in both improving the vaccination coverage as well as improving age appropriateness of the vaccinations.
Supporting information
S1 Checklist. Inclusivity in global research.
https://doi.org/10.1371/journal.pgph.0005670.s001
(DOCX)
S1 Table. Country-specific Routine Immunization Schedules.
https://doi.org/10.1371/journal.pgph.0005670.s002
(DOCX)
S2 Table. Proportion of fully immunized and zero-dose children among children aged 6-35m presenting with medically-attended diarrhea, by EFGH sites, 2022–2024.
https://doi.org/10.1371/journal.pgph.0005670.s003
(DOCX)
S3 Table. Site-specific correlates of non-receipt of age-appropriate vaccination among children aged 6–35 months presenting with medically-attended diarrhea, EFGH Shigella surveillance study, June 2022–August 2024.
https://doi.org/10.1371/journal.pgph.0005670.s004
(DOCX)
Acknowledgments
We are very grateful for the partners who made this work possible, including the ministries of health, health facilities and community partners of the various sites who worked tirelessly to support the implementation and data collection of the EFGH study. The EFGH study staff from each of the study sites worked together with absolute collaboration and enthusiasm to achieve the study objectives. We thank the EFGH Consortium and the Nyanja Health Institute who facilitated and contributed to the Manuscript Writing Cohort Program including Beth A. Tippett Barr and Erika Feutz for their support and guidance. Most importantly, we would like to thank the study participants and their families for their willingness to participate in this research study.
References
- 1. Perin J, Mulick A, Yeung D, Villavicencio F, Lopez G, Strong KL, et al. Global, regional, and national causes of under-5 mortality in 2000-19: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet Child Adolesc Health. 2022;6(2):106–15. pmid:34800370
- 2. IHME Pathogen Core Group. Global burden associated with 85 pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Infect Dis. 2024;24(8):868–95. pmid:38640940
- 3. Cata-Preta B de O, Wehrmeister FC, Santos TM, Barros AJD, Victora CG. Patterns in wealth-related inequalities in 86 low-and middle-income countries: Global evidence on the emergence of vaccine hesitancy. Am J Prev Med. 2021;60(1 Suppl 1):S24–33.
- 4. Immunization coverage. [cited 2025 Feb 27]. https://www.who.int/news-room/fact-sheets/detail/immunization-coverage
- 5. Chu H, Rammohan A. Childhood immunization and age-appropriate vaccinations in Indonesia. BMC Public Health. 2022;22(1):2023. pmid:36333713
- 6. Worku BT, Wordofa EA, Senbeto G, Zinab B, Kebede EB, Abamecha F, et al. Age-appropriate vaccination and associated factors among children aged 12-35 months in Ethiopia: a multi-level analysis. PLoS One. 2024;19(10):e0305801. pmid:39388486
- 7. Rauniyar SK, Iwaki Y, Yoneoka D, Hashizume M, Nomura S. Age-appropriate vaccination coverage and its determinants in children aged 12-36 months in Nepal: a national and subnational assessment. BMC Public Health. 2021;21(1):2063. pmid:34758802
- 8. Atlas HE, Conteh B, Islam MT, et al. Diarrhea case surveillance in the enterics for global health Shigella surveillance study: Epidemiologic methods. Open Forum Infect Dis. 2024;11(Suppl 1):S6–16.
- 9. Khanam F, Islam MT, Bhuiyan TR, Hossen MI, Rajib MNH, Haque S, et al. The Enterics for Global Health (EFGH) Shigella Surveillance Study in Bangladesh. Open Forum Infect Dis. 2024;11(Suppl 1):S76–83. pmid:38532962
- 10. Ahmed N, Yousafzai MT, Naz Qamar F. The Enterics for Global Health (EFGH) Shigella Surveillance Study in Pakistan. Open Forum Infect Dis. 2024;11(Suppl 1):S113–20. pmid:38532950
- 11. Omore R, Awuor AO, Ogwel B, Okonji C, Sonye C, Oreso C, et al. The Enterics for Global Health (EFGH) Shigella Surveillance Study in Kenya. Open Forum Infect Dis. 2024;11(Suppl 1):S91–100. pmid:38532953
- 12. Keita AM, Doh S, Juma J, Nasrin D, Traoré A, Onwuchekwa U, et al. The Enterics for Global Health (EFGH) Shigella Surveillance Study in Mali. Open Forum Infect Dis. 2024;11(Suppl 1):S107–12. pmid:38532954
- 13. Conteh B, Badji H, Jallow AF, Karim M, Manneh A, Keita B, et al. The Enterics for Global Health (EFGH) Shigella Surveillance Study in The Gambia. Open Forum Infect Dis. 2024;11(Suppl 1):S84–90. pmid:38532959
- 14. Mategula D, Ndalama M, Lefu C, Chinkhumba J, Ndeketa L, Munthali V, et al. The Enterics for Global Health (EFGH) Shigella Surveillance Study in Malawi. Open Forum Infect Dis. 2024;11(Suppl 1):S101–6. pmid:38532955
- 15. Manzanares Villanueva K, Pinedo Vasquez T, Peñataro Yori P, Romaina Cacique L, Garcia Bardales PF, Shapiama Lopez WV, et al. The Enterics for Global Health (EFGH) Shigella Surveillance Study in Peru. Open Forum Infect Dis. 2024;11(Suppl 1):S121–8. pmid:38532951
- 16.
Rutstein S. The DHS Wealth Index: Approaches for Rural and Urban Areas. 2008.
- 17. Feutz E, Biswas PK, Ndeketa L, Ogwel B, Onwuchekwa U, Sarwar G, et al. Data Management in Multicountry Consortium Studies: The Enterics For Global Health (EFGH) Shigella Surveillance Study Example. Open Forum Infect Dis. 2024;11(Suppl 1):S48–57. pmid:38532952
- 18. Wonodi C, Farrenkopf BA. Defining the zero dose child: a comparative analysis of two approaches and their impact on assessing the zero dose burden and vulnerability profiles across 82 low- and middle-income countries. Vaccines (Basel). 2023;11(10):1543. pmid:37896946
- 19. World Health Organization. Essential Programme on Immunization. 2026. [cited 2026 Apr 13]. https://www.who.int/teams/immunization-vaccines-and-biologicals/essential-programme-on-immunization
- 20. Petersen MR, Deddens JA. A comparison of two methods for estimating prevalence ratios. BMC Med Res Methodol. 2008;8:9. pmid:18307814
- 21. Islam MR, Rahman MM, Rahman MS, Abe SK, Akmatov MK, Hashizume M. Trends and projections of age-appropriate vaccination coverage in 41 low- and middle- income countries in Asia and Sub-Saharan Africa, 2000–2030. Front Public Health. 2024;12:1371258.
- 22. Immunization Manual for Health Workers. Vaccin. Demand. [cited 2025 June 6.] https://knowledge.unicef.org/vaccination-demand/resource/immunization-manual-health-workers
- 23. Hoest C, Seidman JC, Lee G, Platts-Mills JA, Ali A, Olortegui MP, et al. Vaccine coverage and adherence to EPI schedules in eight resource poor settings in the MAL-ED cohort study. Vaccine. 2017;35(3):443–51. pmid:27998640
- 24. Liang J, Zhang Q, Li Y, Wang L. Advances and challenges in poliomyelitis vaccines: a comprehensive review of development, production, and global deployment. Front Public Health. 2025;13:1611028. pmid:40740383
- 25. WHO recommendations for routine immunization - summary tables. [cited 2025 June 6]. https://www.who.int/teams/immunization-vaccines-and-biologicals/policies/who-recommendations-for-routine-immunization---summary-tables
- 26. Dimitrova A, Carrasco-Escobar G, Richardson R, Benmarhnia T. Essential childhood immunization in 43 low- and middle-income countries: analysis of spatial trends and socioeconomic inequalities in vaccine coverage. PLoS Med. 2023;20(1):e1004166. pmid:36649359
- 27. Sadoh AE, Eregie CO. Timeliness and completion rate of immunization among Nigerian children attending a clinic-based immunization service. J Health Popul Nutr. 2009;27(3):391–5. pmid:19507754
- 28. Favin M, Steinglass R, Fields R, Banerjee K, Sawhney M. Why children are not vaccinated: a review of the grey literature. Int Health. 2012;4(4):229–38. pmid:24029668
- 29. Prendergast AJ. Malnutrition and vaccination in developing countries. Philos Trans R Soc Lond B Biol Sci. 2015;370(1671):20140141. pmid:25964453
- 30. Alao R, Nur H, Fivian E, Shankar B, Kadiyala S, Harris-Fry H. Economic inequality in malnutrition: a global systematic review and meta-analysis. BMJ Glob Health. 2021;6(12).
- 31. Odutola A, Afolabi MO, Ogundare EO, Lowe-Jallow YN, Worwui A, Okebe J, et al. Risk factors for delay in age-appropriate vaccinations among Gambian children. BMC Health Serv Res. 2015;15:346. pmid:26315547
- 32. Kundu S, Kundu S, Seidu A-A, Okyere J, Ghosh S, Hossain A, et al. Factors influencing and changes in childhood vaccination coverage over time in Bangladesh: a multilevel mixed-effects analysis. BMC Public Health. 2023;23(1):862. pmid:37170088
- 33. Ogundele OA, Ogunwemimo HS, Fehintola FO, Ogundele T, Olorunsola A, Bello OE, et al. Predictors of incomplete childhood vaccination in four West African countries: a population based cross-sectional study. Sci Rep. 2025;15(1):17119. pmid:40379820
- 34. Galadima AN, Zulkefli NAM, Said SM, Ahmad N. Factors influencing childhood immunisation uptake in Africa: a systematic review. BMC Public Health. 2021;21(1):1475. pmid:34320942
- 35. Woldu Anbesu E, Abubeker SA, Berhe BM. Age-appropriate vaccination practice and associated factors among mothers of children aged less than one year in the pastoral community of Afar region, Ethiopia. Hum Vaccin Immunother. 2021;17(9):3178–85. pmid:34062099
이 뉴스, 어떠셨어요?
탭 한 번으로 반응 · 로그인 불필요