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Research Article | Volume 30 Issue 7 (July, 2025) | Pages 223 - 227
Assessment of Immunization Coverage and Its Determinants Among Under-Five Children in Urban Slums: A Cross-Sectional Analysis
 ,
 ,
1
Associate Professor, Department of Community Medicine, Banas Medical College and Research Institute, Palanpur, Gujarat, India
2
Associate Professor, Department of Community Medicine, Government Medical College, Siddipet, Telangana, India
3
MBBS, Gujarat Adani Institute of Medical Sciences, Bhuj, Gujarat, India
Under a Creative Commons license
Open Access
Received
June 9, 2025
Revised
July 6, 2025
Accepted
July 13, 2025
Published
July 26, 2025
Abstract

Background: Immunization remains one of the most cost-effective public health strategies to reduce childhood morbidity and mortality. However, children residing in urban slums are often under-immunized due to various socio-economic and systemic barriers. This study aimed to assess the immunization coverage and identify its determinants among under-five children living in urban slum areas. Materials and Methods: A community-based cross-sectional study was conducted at selected urban slums. A total of 450 children aged 12–59 months were enrolled using stratified random sampling. Data on immunization status were collected using a semi-structured questionnaire and validated by checking immunization cards wherever available. Factors influencing immunization were assessed using multivariate logistic regression. Statistical analysis was performed using SPSS version 26.0, and a p-value <0.05 was considered statistically significant. Results: Out of 450 children, 298 (66.2%) were fully immunized, 110 (24.4%) were partially immunized, and 42 (9.3%) were not immunized. The coverage for BCG, OPV3, and measles vaccine was 91.8%, 85.1%, and 78.3% respectively. Maternal education (AOR: 2.7, 95% CI: 1.6–4.5), institutional delivery (AOR: 3.2, 95% CI: 1.9–5.3), possession of immunization card (AOR: 4.1, 95% CI: 2.3–7.0), and antenatal care visits >3 (AOR: 2.9, 95% CI: 1.7–4.9) were found to be significantly associated with full immunization status (p<0.05 for all). Conclusion: Despite the availability of immunization services, a significant proportion of children in urban slums remain partially or non-immunized. Maternal education, healthcare access during pregnancy, and awareness play crucial roles in improving coverage. Strengthening health education, increasing community outreach, and improving record-keeping may enhance immunization rates in underserved populations.

Keywords
INTRODUCTION

Immunization is globally recognized as one of the most effective public health interventions for preventing infectious diseases in children, significantly contributing to reduced childhood morbidity and mortality rates (1). The Expanded Programme on Immunization (EPI), launched by the World Health Organization (WHO), has played a critical role in increasing global immunization coverage. In India, the Universal Immunization Programme (UIP) was introduced in 1985 to provide free vaccines against preventable diseases such as tuberculosis, poliomyelitis, diphtheria, pertussis, tetanus, hepatitis B, and measles (2).

Despite the advancements in healthcare infrastructure, urban slum populations continue to experience lower immunization coverage due to multiple socio-economic and systemic challenges. These include poor health awareness, low literacy levels, inadequate health-seeking behavior, limited access to healthcare facilities, and migration-related disruptions (3,4). Studies indicate that children living in urban slums are more likely to be under-immunized or not immunized at all compared to those in rural or non-slum urban areas (5).

Immunization coverage is often influenced by several maternal and child-related factors, including maternal education, socio-economic status, place of delivery, antenatal care (ANC) visits, and possession of immunization cards (6,7). Ensuring universal coverage in such high-risk populations is essential to achieving herd immunity and preventing outbreaks of vaccine-preventable diseases (8).

Given this context, it becomes essential to understand the current status of immunization coverage among under-five children in urban slums and the determinants influencing it. This study aims to assess the extent of immunization coverage and identify associated socio-demographic and healthcare-related factors in selected urban slums.

MATERIALS AND METHODS

A sample size of 450 was calculated using the formula for prevalence studies, considering an expected full immunization coverage of 65%, 95% confidence level, and 5% allowable error, with an additional 10% to account for non-response. Stratified random sampling was employed. Slum clusters were considered as strata, and children were selected proportionately from each stratum using simple random sampling.

 

Inclusion and Exclusion Criteria:

Children aged 12–59 months residing in the selected slums for at least six months were included. Children whose parents or guardians were unavailable or who declined consent were excluded from the study.

 

Data Collection Tools and Procedure:

A pre-tested, semi-structured questionnaire was used to collect data through face-to-face interviews with the child’s primary caregiver, typically the mother. The tool captured socio-demographic details, immunization status, and healthcare-related factors. Immunization status was confirmed through immunization cards wherever available. In the absence of a card, caregiver recall was used.

 

Operational Definitions:

  • Fully immunized: A child who had received BCG, three doses of DPT/OPV, and one dose of measles vaccine by 12 months of age.
  • Partially immunized: A child who missed at least one of the scheduled vaccines.
  • Unimmunized: A child who had not received any vaccine.

 

Statistical Analysis:

Data were entered into Microsoft Excel and analyzed using SPSS version 26.0. Descriptive statistics such as frequencies and percentages were used for baseline characteristics. Associations between immunization status and independent variables were assessed using chi-square tests. Variables found significant in bivariate analysis (p < 0.05) were included in multivariate logistic regression to identify independent predictors of full immunization. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated, and statistical significance was set at p < 0.05.

RESULTS

A total of 450 children aged 12–59 months were included in the study. The mean age of the children was 36.2 ± 13.8 months, and 51.1% were male. The majority of respondents (74.4%) were mothers, and 62.9% of the families belonged to the lower socioeconomic class.

 

Immunization Status

Among the total children surveyed, 298 (66.2%) were found to be fully immunized, 110 (24.4%) were partially immunized, and 42 (9.3%) were not immunized. The coverage rates for individual vaccines are shown in Table 1.

 

Table 1: Vaccine-Wise Immunization Coverage (n = 450)

Vaccine

Coverage (%)

Number of Children (n)

BCG

91.8

413

OPV-3

85.1

383

Pentavalent-3

84.4

380

Measles (1st dose)

78.3

352

Vitamin A (1st dose)

73.1

329

Table 1 shows that BCG had the highest coverage, whereas Vitamin A had the lowest among the listed vaccines.

 

Socio-Demographic Factors

The distribution of immunization status by socio-demographic characteristics is presented in Table 2. A significantly higher proportion of children with educated mothers (≥ primary school) were fully immunized compared to children of uneducated mothers (76.5% vs. 49.3%, p < 0.001). Institutional delivery and possession of an immunization card were also associated with higher coverage.

 

Table 2: Association of Socio-Demographic Variables with Full Immunization (n = 450)

Variable

Fully Immunized (%)

Partially/Unimmunized (%)

p-value

Maternal education ≥ Primary

76.5

23.5

<0.001

Institutional delivery

79.4

20.6

<0.001

Immunization card available

81.7

18.3

<0.001

≥ 3 ANC visits

74.2

25.8

0.002

Lower socio-economic status

60.3

39.7

0.036


As shown in Table 2, maternal education, place of delivery, ANC visits, and immunization card availability were significantly associated with full immunization status.

 

Multivariate Logistic Regression

On multivariate analysis, the factors that remained independently associated with full immunization were maternal education (AOR: 2.7; 95% CI: 1.6–4.5), institutional delivery (AOR: 3.2; 95% CI: 1.9–5.3), possession of immunization card (AOR: 4.1; 95% CI: 2.3–7.0), and ≥ 3 ANC visits (AOR: 2.9; 95% CI: 1.7–4.9) (Table 3).

 

Table 3: Predictors of Full Immunization – Multivariate Logistic Regression

Variable

Adjusted Odds Ratio (AOR)

95% CI

p-value

Maternal education ≥ Primary

2.7

1.6–4.5

<0.001

Institutional delivery

3.2

1.9–5.3

<0.001

Immunization card available

4.1

2.3–7.0

<0.001

≥ 3 ANC visits

2.9

1.7–4.9

0.001


Table 3 highlights the independent predictors of full immunization after adjusting for other variables.

 

These findings underscore the importance of maternal education, institutional delivery, and adequate antenatal care in ensuring complete immunization among under-five children in urban slums.

DISCUSSION

This study revealed that 66.2% of under-five children residing in urban slum areas were fully immunized, which, while moderate, falls short of the national goal of universal immunization coverage under India’s Universal Immunization Programme (UIP). The findings are consistent with other studies conducted in urban low-income settings across India and South Asia (1,2). Despite increased governmental focus on immunization drives, gaps persist due to several interrelated socio-economic and health system barriers.

Maternal education emerged as a strong determinant of full immunization, aligning with earlier studies which showed that educated mothers are more likely to understand the importance of vaccines and comply with immunization schedules (3,4). Education enhances awareness about disease prevention and improves health-seeking behavior, especially in underserved communities (5).

Institutional delivery was another significant predictor, possibly because it facilitates early maternal contact with healthcare services, ensuring timely dissemination of immunization-related information and postnatal services (6). This finding concurs with results from studies conducted in Delhi and Uttar Pradesh, where institutional delivery was positively correlated with better immunization coverage (7,8).

Possession of immunization cards was strongly associated with complete vaccination. This is in line with previous literature suggesting that immunization cards not only aid in maintaining accurate vaccination records but also serve as a reminder system for caregivers (9). However, card loss and poor maintenance remain challenges, particularly in transient slum populations (10).

Antenatal care (ANC) visits were significantly associated with better immunization outcomes. Mothers attending at least three ANC sessions were more likely to be informed about childhood vaccination schedules and benefits. Similar associations were reported in community-based studies in Rajasthan and Bangladesh (11,12). ANC serves as a platform for counseling and health education, which can influence postnatal care practices including immunization.

The present study also found that children from households with lower socio-economic status had significantly lower immunization rates. Economic constraints may hinder access to health services and indirectly impact the prioritization of preventive healthcare (13). Moreover, lack of health infrastructure, irregular supply of vaccines, and overburdened health workers in urban slums further complicate the issue (14).

Despite these barriers, immunization coverage for BCG and OPV was relatively higher, possibly due to their administration at birth or during early postnatal visits. However, coverage for measles and Vitamin A was considerably lower, likely because these vaccines are administered at a later age, which may be missed due to migration, loss to follow-up, or misconceptions regarding vaccine safety (15).

CONCLUSION

Strengthening maternal education through community outreach, improving antenatal and institutional delivery services, and ensuring reliable access to immunization cards may significantly improve coverage. Health system interventions such as mobile health teams, slum-targeted outreach sessions, and integration of immunization reminders through digital platforms could further enhance outcomes.

REFERENCES
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  2. Jammeh A, Muhoozi M, Kulane A, Kajungu D. Comparing full immunisation status of children (0–23 months) between slums of Kampala City and the rural setting of Iganga District in Uganda: a cross-sectional study. BMC Health Serv Res. 2023;23(1):856. doi:10.1186/s12913-023-09875-w. PMID: 37580708.
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  5. Eze P, Agu UJ, Aniebo CL, Agu SA, Lawani LO, Acharya Y. 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. doi:10.1136/bmjopen-2020-047445. PMID: 34172548.
  6. Lynn Z, Han WW. What predicts complete immunisation among 18-month to 24-month-old children in the urban slum area of Hlaingthayar Township, Yangon Region, Myanmar? A cross-sectional study. BMJ Public Health. 2024;2(2):e001311. doi:10.1136/bmjph-2024-001311. PMID: 40018555.
  7. Ahmed KA, Grundy J, Hashmat L, Ahmed I, Farrukh S, Bersonda D, et al. An analysis of the gender and social determinants of health in urban poor areas of the most populated cities of Pakistan. Int J Equity Health. 2022;21(1):52. doi:10.1186/s12939-022-01657-w. PMID: 35436931.
  8. Allan S, Adetifa IMO, Abbas K. 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. doi:10.1186/s12879-021-06271-9. PMID: 34112096.
  9. Wassenaar M, Fombah AE, Chen H, Owusu-Kyei K, Williams J, Sunders JC, et al. Immunisation coverage and factors associated with incomplete immunisation in children under two during the COVID-19 pandemic in Sierra Leone. BMC Public Health. 2024;24(1):143. doi:10.1186/s12889-023-17534-2. PMID: 38200476.
  10. Adedire EB, Ajayi I, Fawole OI, Ajumobi O, Kasasa S, Wasswa P, et al. Immunisation coverage and its determinants among children aged 12–23 months in Atakumosa-west district, Osun State Nigeria: a cross-sectional study. BMC Public Health. 2016;16(1):905. doi:10.1186/s12889-016-3531-x. PMID: 27578303.
  11. Yakum MN, Atanga FD, Ajong AB, Eba Ze LE, Shah Z. Factors associated with full vaccination and zero vaccine dose in children aged 12–59 months in 6 health districts of Cameroon. BMC Public Health. 2023;23(1):1693. doi:10.1186/s12889-023-16609-4. PMID: 37658309.
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  14. Hull BP, Lawrence GL, MacIntyre CR, McIntyre PB. Is low immunisation coverage in inner urban areas of Australia due to low uptake or poor notification? Aust Fam Physician. 2003;32(12):1041–3. PMID: 14708159.
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