Determinants of Parental Adherence to Childhood Immunization Among Children Under Five in Marginalized Asian Populations
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Selection
2.2. Eligible Criteria
2.3. Search Strategy
2.4. Data Extraction and Analsis
2.5. Risk of Bias and Quality Assessment
3. Results
3.1. Overview of Included Studies
3.2. Thematic Synthesis of Determinants of Parental Adherence
- (1)
- Socioeconomic and access inequities;
- (2)
- Trust, cultural beliefs and social norms;
- (3)
- Migration, refugee, and mobility-related vulnerabilities;
- (4)
- Household and caregiver dynamics;
- (5)
- Health system and program.
3.2.1. Socioeconomic and Access Inequities
3.2.2. Trust, Cultural Beliefs, and Social Norms
3.2.3. Migration, Refugee, and Mobility-Related Vulnerabilities
3.2.4. Household and Caregiver Dynamics
3.2.5. Health System and Programmatic Factors
3.2.6. Summary
4. Discussion
4.1. Principal Findings
4.2. Comparison with Prior Reviews
4.3. Implications for Policy and Practice
4.4. Evidence Gaps and Future Research Directions
4.5. Strengths and Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
| Database/Source | Coverage | Notes |
|---|---|---|
| PubMed/MEDLINE | Biomedical and public health literature | MeSH + free text |
| Scopus | Multidisciplinary, large coverage | Includes conference proceedings |
| WHO Global Index Medicus (WPRIM, IMSEAR, AIM) | Regional databases for Asia | Captures local research |
| Google Scholar | General search and gray literature | First 200 results screened (out of 407 retrieved) |
| Author, Year | Country/Region | Study Type | Appraisal Outcomes | Notes |
|---|---|---|---|---|
| * Ichimura et al., 2022 [16] | Lao People’s Democratic Republic | Nationwide cross-sectional study (multistage cluster sampling) | Low risk | Nationwide sampling; vaccination records validated; minor bias from excluding children without cards. |
| * Siramaneerat & Agushybana 2021 [8] | Indonesia | Quantitative DHS multilevel analysis | Low risk | Large representative DHS dataset; multilevel modeling; recall bias possible. |
| * Sinuraya et al. 2024 [15] | Indonesia | Quantitative IFLS secondary analysis | Low risk | Large national dataset; advanced regression; limited by secondary data use. |
| * Miras et al., 2023 [18] | Philippines | Qualitative ethnography | Moderate risk | Rich contextual insights; theory-driven; limited by single urban setting and purposive sample. |
| * Das et al., 2024 [5] | Bangladesh (slums and haors) | Quantitative, cross-sectional | Moderate risk | Good description; convenience sampling; risk of reporting bias. |
| * Nguyen et al., 2025 [3] | Vietnam (Daklak highlands) Ethnic minority mothers and HCWs | Qualitative (IDIs, FGDs, observation) | Moderate risk | Valuable contextual insights; small sample; limited generalizability. |
| * Rimal et al., 2024 [6] | India (Varanasi slums) | Quantitative (survey) | Low risk | Large sample size. Clear determinants identified; non-probability sampling; recall bias. |
| * Francis et al., 2021 [10] | India (Vellore, Tamil Nadu) | Mixed-methods (survey + FGDs) | Moderate risk. | Combines survey and FGDs; limited sample; good contextual triangulation |
| * Muhammad et al., 2023 [11] | Pakistan (Karachi slums) | Mixed-methods | Moderate risk. | Sample adequate; limited confounder control; self-reported immunization status. |
| * Racaite et al., 2021 [13] | Multi-country (review, China focus) | Quantitative study | Low risk | Good sampling; clear analysis; strong data on NIP vs. non-NIP vaccines. |
| Kalaij et al., 2021 [12] | Southeast Asia (multi-country) | Systematic review | Low risk | Transparent synthesis; PRISMA-based; complements primary studies |
| * Tran et al., 2025 [4] | Vietnam–Cambodia border (Dong Thap) | Quantitative (survey + regression) | Moderate risk | Good integration of quantitative and qualitative data; limited by local scope. |
| * Ahmed et al., 2023 [17] | Bangladesh | Quantitative (cross-sectional survey) | Moderate risk | Good sample in difficult-to-access refugee camps; limited generalizability beyond Cox’s Bazar. |
| * Summan et al., 2022 [7] | India (rural, multi-state) | Quantitative (national survey analysis, decomposition) | Low risk | Robust national survey and facility data; large sample size |
| * Paul et al., 2022 [9] | Nepal (Makwanpur District) | Qualitative (IDIs, KIIs, FGDs) | Moderate risk | Rich qualitative depth; district-level scope only. |
| Novilla et al., 2023 [14] | Multi- countries | Systematic review | Low risk | Comprehensive SR; most evidence, indirect transferability. |
| * Al-Haroni et al., 2023 [19] | Malaysia (Ampang district, Kuala Lumpur) | Quantitative (cross-sectional) | Moderate risk | limited generalizability (one district) |
| * Chung et al., 2016 [20] | China (Yanbian) | Quantitative (survey + vaccination cards) | Moderate risk | Comparative survey; limited to one prefecture. |
| * Zhou et al., 2023 [21] | China (Zhejiang & Henan) | Quantitative (cross-sectional survey) | Low risk | Large survey and generalizability; self-report bias possible. |
| * Qayyum et al., 2021 [22] | Pakistan (Rajanpur district) | Qualitative (IDIs, FGDs) | Moderate risk | Qualitative depth; not generalizable quantitatively. |
| * Lin et al., 2022 [23] | China (Sichuan, Guangdong, Henan) | Qualitative (interviews) | Moderate risk | Good provider perspective; small sample |
| Determinants Identified from Included Studies | Thematic Domains |
|---|---|
| Maternal education, household wealth, EPI card possession | Socioeconomic and access inequities |
| Geographic remoteness, transport barriers, rural residence | Socioeconomic and access inequities |
| Misconceptions about vaccines, fear of side effects, religious objections | Trust, cultural beliefs and social norms |
| Misinformation, media influence, vaccine controversies (e.g., Dengvaxia® in the Philippines) | Trust, cultural beliefs and social norms |
| Refugee status (Rohingya in Malaysia, displaced populations in camps) | Migration, refugee, and mobility-related vulnerabilities |
| Stateless children, left-behind children, seasonal migrants | Migration, refugee, and mobility-related vulnerabilities |
| Birth order, family size, father’s age, caregiver occupation | Household and caregiver dynamics |
| Influence of grandmothers, fathers, tribal/community leaders | Household and caregiver dynamics |
| Facility quality, staff shortages, availability of female vaccinators | Health system and program |
| Provider communication, follow-up mechanisms, integration with maternal–child health services | Health system and program |
Appendix B


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| Search | Search Terms (Boolean Operators) |
|---|---|
| Pubmed | ((“child” [Title/Abstract] OR “children” [Title/Abstract] OR “under-five” [Title/Abstract] OR “infant *” [Title/Abstract]) AND (“immunization” [Title/Abstract] OR “immunisation” [Title/Abstract] OR “vaccination” [Title/Abstract] OR “vaccine coverage” [Title/Abstract] OR “vaccine adherence” [Title/Abstract] OR “vaccination compliance” [Title/Abstract]) AND (“determinant *” [Title/Abstract] OR “factor *” [Title/Abstract] OR “predictor *” [Title/Abstract] OR “barrier *” [Title/Abstract] OR “facilitator *” [Title/Abstract] OR “enabler *” [Title/Abstract]) AND (“marginalized” [Title/Abstract] OR “minority” [Title/Abstract] OR “migrant” [Title/Abstract] OR “refugee” [Title/Abstract] OR “indigenous” [Title/Abstract] OR “slum” [Title/Abstract] OR “underserved” [Title/Abstract] OR “low-income” [Title/Abstract] OR “disadvantaged” [Title/Abstract]) AND (“Asia” [MeSH Terms] OR “India” [MeSH Terms] OR “Bangladesh” [MeSH Terms] OR “Nepal” [MeSH Terms] OR “Pakistan” [MeSH Terms] OR “Myanmar” [MeSH Terms] OR “Vietnam” [MeSH Terms] OR “Thailand” [MeSH Terms] OR “Indonesia” [MeSH Terms] OR “Philippines” [MeSH Terms] OR “China” [MeSH Terms])) |
| Scopus | TITLE-ABS-KEY ((child * OR “under-five” OR infant *) AND (immunization OR immunisation OR vaccination OR “vaccine coverage” OR “vaccine adherence” OR compliance) AND (determinant * OR factor * OR predictor * OR barrier * OR facilitator * OR enabler *) AND (marginalized OR minority OR migrant OR refugee OR indigenous OR slum OR underserved OR disadvantaged) AND (Asia OR India OR Bangladesh OR Nepal OR Pakistan OR Myanmar OR Vietnam OR Thailand OR Indonesia OR Philippines OR China) |
| Google Scholar | (“child” OR “children” OR “under five” OR “infant” OR “toddler”) AND (“immunization” OR “immunisation” OR “vaccination” OR “vaccine coverage” OR “vaccine adherence” OR “vaccination compliance”) AND (“determinant” OR “factor” OR “predictor” OR “barrier” OR “facilitator” OR “enabler” OR “vaccine confidence” OR “social norms” OR “trust in health system”) AND (“marginalized” OR “minority” OR “migrant” OR “refugee” OR “indigenous” OR “slum” OR “urban poor” OR “rural poor” OR “left-behind” OR “underserved” OR “disadvantaged” OR “hard-to-reach”) AND (“Asia” OR “India” OR “Bangladesh” OR “Pakistan” OR “Nepal” OR “Vietnam” OR “Myanmar” OR “Thailand” OR “Indonesia” OR “Philippines” OR “China” OR “Malaysia”) |
| Author, Year | Country/Region | Population (Parents/Caregivers/ Children) | Study Design | Sample Size/Data Source | Determinants Examined | Key Findings (Direction/ Association) | Qualitative Themes/Quotes | Contextual Insights (Policy/System/ Cultural) | Strengths/Limitations |
|---|---|---|---|---|---|---|---|---|---|
| Nguyen et al., 2025 [3] | Vietnam (Daklak highlands) | Ethnic minority mothers and HCWs | Qualitative (IDIs, FGDs, observation) | 25 communes, 9 districts | Socioeconomic vulnerability, social networks, trust in HCWs, structural marginalization | Acceptance shaped by poverty and marginalization. Trust in HCWs fostered acceptance; distrust linked to isolation. | Isolation → distrust; social network support → adherence. | Structural vulnerability explains outbreaks despite reported coverage. | Strong ethnographic design; limited sample generalizability. |
| Tran et al., 2025 [4] | Vietnam–Cambodia border [Dong Thap] | Minority parents of children <5 years | Quantitative (Survey+ regression) | 449 parents | Child age, birth order, perceived barriers, self-efficacy | Adherence 18.9%. Younger and first born ↑ adherence; high barriers ↓ adherence; high self-efficacy ↑ adherence. | N/A | HBM framework highlights self-efficacy and barriers; strong disparities at borders. | Robust sample; cross-sectional design limits causality. |
| Das et al., 2024 [5] | Bangladesh (slums and haors) | Caregivers of 4.5–23 m children | Quantitative (LQAS survey) | 504 households, 18 clusters | Zero-dose, EPI card, maternal age/education, household earning | 32%ZD/UI overall; 59%in slums, 32%in haors. EPI card strongest predictor; maternal age/education mattered. | N/A | EPI card availability critical equity tool. | Good LQAS design; localized findings. |
| Rimal et al., 2024 [6] | India (Varanasi slums) | Caregivers of <2 years | Quantitative (survey) | 2058 interviews | Social norms, vaccine confidence, interpersonal communication | All predictors associated with intention; interaction effects significant; explained 46% variance. | N/A | Social norms and communication. amplify/attenuate vaccine confidence. | Large survey; intention not behavior. |
| Summan et al., 2022 [7] | India (rural, multi-state) | Children <2 years, households across 24 states | Quantitative (national survey analysis, decomposition) | 44,571 households, 1346 facilities | Facility quality, infrastructure, service delivery, socioeconomic status | Higher facility quality linked with full immunization and timeliness; gaps larger among poor households. | N/A | Strengthening rural facility quality can close rich-poor gaps. | Robust national survey and facility data; limited causal inference. |
| Siramaneerat & Agushybana, 2021 [8] | Indonesia | Mothers and their children aged 12–24 months | Multilevel analysis of 2017 Indonesia Demographic and Health Survey (IDHS) | 4753 children | Child-level: sex, age, birth order. Parent-level: maternal age at delivery, maternal and paternal education, father’s occupation, maternal occupation, antenatal care (ANC). Community-level: urban/rural, region, proportion of public health centers (PHCs). | 58.2%fully immunized. Children of higher birth order, older mothers, and educated parents more likely to be fully vaccinated. ANC positively associated. Wealthier households and urban areas had higher coverage. Communities with more PHCs had better coverage. | N/A | Large disparities across regions; remote and rural children face greater barriers. Strengthening PHCs and midwifery services is essential. | Strengths: nationally representative data, multilevel analysis. Limitations: recall bias possible, timing of vaccination not analyzed, regional heterogeneity limits direct policy transfer. |
| Paul et al., 2022 [9] | Nepal (Makwanpur District) | Mothers, fathers, grandmothers, FCHVs, HCWs, govt reps | Qualitative (IDIs, KIIs, FGDs) | 76 participants (54 mothers, 5 fathers, 5 grandmothers, 12 HCWs/govt reps) | Knowledge, social norms, trust, provider support, infrastructure | High awareness and demand, but lack of mutual trust between caregivers and providers a key barrier. Supply issues: poor infrastructure, low support for HCWs. | Distrust between providers and caregivers; HCWs cite inadequate support. | Trust critical; interventions should address both social and structural barriers. | Rich qualitative depth; district-level scope only. |
| Francis et al., 2021 [10] | India (Vellore, Tamil Nadu) | Children 12–23 months in disadvantaged communities | Mixed-methods (survey + FGDs) | 100 households + 43 parents in FGDs | Maternal occupation, mobility, awareness, misinformation | 65–77%fully vaccinated. Working mothers less likely to vaccinate; mobility and misinformation barriers. | FGDs: mobility issues, myths hinder uptake. | Targeted outreach needed for tribal groups; Mission Indradhanush partly effective. | Small survey sample; rich FGDs. |
| Muhammad et al., 2023 [11] | Pakistan (Karachi slums) | Parents/caregivers of children 12–23 months | Mixed-methods (survey + IDIs) | 840 households, 412 children | Fear of side effects, social/religious influences, lack of awareness, misconceptions | Only 49% fully vaccinated. Misconceptions and religious barriers common. Mapping showed fragmented interventions. | Fear of side effects; religious misconceptions reported in IDIs | Need for coordinated demand-generation strategies across stakeholders. | Large slum survey, but cross-sectional and self-report limitations. |
| Kalaij et al., 2021 [12] | Southeast Asia (multi-country) | Children and caregivers | Systematic review | 16 observational studies, 41,956 subjects | Maternal age, education, occupation, SES, antenatal care, family size | Compliance ↑ with older maternal age, higher SES, antenatal care, parents in health/govt jobs. Noncompliance ↑ with younger age, large families, poverty, low education. | N/A | Confirms classic determinants across SEA; evidence base observational, gaps in marginalized groups. | SR strength; heterogeneity and limited focus on marginalized populations. |
| Racaite et al., 2021 [13] | Multi-country (review, China focus) | Left-behind children | Systematic review | 34 studies | Parental migration, caregiver absence | Left-behind children had more incomplete immunization, stunting, risky behaviors. | Caregiver absence noted in multiple studies. | Migration creates risk profiles beyond immunization. | Evidence concentrated in China; few other Asian countries. |
| Novilla et al., 2023 [14] | Multi-countries (MMR focus, lessons applicable) | Parents/caregivers | Systematic review | 115 articles (2000–2022) | Education, income, race, religiosity, political affiliation, social networks, trust, misinformation | Fear of autism most cited reason for hesitancy. Hesitancy clustered in higher-SES, educated parents preferring online/social media narratives. | N/A | Hesitancy socially patterned; interventions must target misinformation and rebuild trust. | Comprehensive SR; most evidence, indirect transferability. |
| Sinuraya et al., 2024 [15] | Indonesia | Children aged 1–14 years (IFLS dataset, analyzed at household level with parent/caregiver characteristics) | Quantitative (secondary data analysis of IFLS-5, logistic regression) | n= 16,236 children across 13 provinces | Maternal education, maternal antenatal/postnatal care, maternal tetanus immunization, father’s age, parental health insurance, household size, wealth index, religion, urban/rural residence, region, parental media access, smoking status, place of delivery | - Higher maternal education, maternal tetanus immunization, urban residence, health insurance, and wealth associated with complete immunization. - Father’s age 41–50 years linked with higher adherence. - Larger families associated with better immunization (contrary to some literature). | Not applicable (quantitative only) | Strong national survey; evidence of socio-economic, regional, and parental health behavior influences. Highlights Indonesia’s persistent gaps despite NIP coverage. | Strengths: large nationally representative dataset; advanced statistical modeling with multiple imputation. Limitations: secondary data, recall bias from parental reporting, missing data (imputation used). |
| Ichimura et al., 2022 [16] | Lao People’s Democratic Republic | Caregivers of children aged 12–35 months | Nationwide cross-sectional study (multistage cluster sampling) | 256 child–caregiver pairs (out of 416 targeted); national seroepidemiological survey 2019 | Place of birth, place of vaccination, residence type (fixed/mobile), family size, maternal/paternal education, occupation, ethnicity, access to health facility, outreach vaccination | 67.6% fully immunized. Hospital/health facility birth strongly associated with full immunization (AOR 9.75). Outreach vaccination in village negatively associated.Fixed residence associated with better coverage. Missing doses mainly Hep B at birth, PCV, and measles. | N/A | Ethnic minorities and remote areas remain underserved. Outreach/mobile services may help, but quality and trust issues persist. | Documented immunization records, national sampling. Limitations: exclusion of children without records, potential under-representation of ethnic minorities, cross-sectional design |
| Ahmed et al., 2023 [17] | Bangladesh (Cox’s Bazar) | Rohingya refugee parents | Quantitative (cross-sectional survey) | 224 parents | Knowledge, camp type, parental education/employment | 63% completed immunization. Knowledge and registered camp residence increased adherence; father’s education/employment mattered. | N/A | Disparities between registered vs. makeshift camps; highlights importance of health education. | Good sample in difficult-to-access refugee camps; limited generalizability beyond Cox’s Bazar. |
| Miras, Regencia & Baja, 2023 [18] | Philippines (Pasay City, Metro Manila) | Parents/caregivers and healthcare workers; children under 5 indirectly affected through caregivers | Qualitative study | n= 41 participants (26 parents, 9 health staff, 6 mothers in FGD) | Trust, misinformation, media influence, healthcare worker communication, political context, social norms | - Dengvaxia® controversy caused mistrust and hesitancy toward measles vaccination. - Media sensationalism, - HCWs had limited information and struggled to reassure parents | Quotes illustrate fear, anger, and mistrust | Demonstrates how a vaccine crisis (Dengvaxia®) undermined confidence in broader immunization. Importance of transparent communication and trust-building. | Strengths: rich qualitative insights; theory-driven analysis Limitations: single-site, urban setting; limited generalizability; purposive sample. |
| Al-Haroni et al., 2023 [19] | Malaysia (Ampang district, Kuala Lumpur) | Rohingya refugee children (school-age, 3–14 yrs) | Quantitative (cross- sectional) | 243 children (guardians surveyed) | Child’s age, place of birth, access to healthcare | 2.5%fully immunized; significant determinants = birth country, age, access to healthcare. | N/A | Refugees face systemic barriers; NGO/UNHCR programs insufficient. | Important refugee sample; limited to one district. |
| Chung et al., 2016 [20] | China (Yanbian) | Children born to North Korean refugee mothers | Quantitative (survey + vaccination cards) | Refugee vs. Chinese/migrant children | Father’s age, sibling presence, legal status | Coverage 12–98% vs. ~99%Chinese children. Father’s age and siblings ↓ vaccination. | N/A | Stateless children excluded from health system; legal invisibility critical barrier. | Comparative survey; limited to one prefecture. |
| Zhou et al., 2023 [21] | China (Zhejiang & Henan) | Migrant and left-behind families | Quantitative (cross-sectional survey) | 1648 caregivers | Coverage, knowledge, satisfaction, migration status | Non-NIP coverage highest in locals, then migrants, lowest in left-behind. Satisfaction key determinant. | N/A | Non-NIP disparities show hidden inequities beyond EPI. | Large survey; self-report bias possible. |
| Qayyum et al., 2021 [22] | Pakistan (Rajanpur district) | Rural/tribal caregivers and providers | Qualitative (IDIs, FGDs) | 24 IDIs, 7 FGDs | Health system barriers, female staff, engagement, social mobilization | Acceptability varied: refusal, drop-out. Lack of female vaccinators, poor engagement, reliance on tribal chiefs. | Poor mobilization; reliance on tribal chiefs; demand fluctuated. | Weak community mobilization and system support undermine coverage. | Qualitative depth; not generalizable quantitatively. |
| Lin et al., 2022 [23] | China (Sichuan, Guangdong, Henan) | Providers (vaccinators, HCWs) | Qualitative (26 interviews) | 26 providers | Provider perceptions: child factors, caregiver SES/education, institutional issues | Coverage lower among migrants/left-behind. Barriers: staffing, info systems, hesitancy. | Providers cite staff shortages, poor follow-up systems. | Recommendations: integrate MCH visits, family follow-up, school verification. | Good provider perspective; small sample. |
| Themes | Codes | Illustrative Quotes/Insights |
|---|---|---|
| Trust, cultural beliefs and social norms | Mistrust in government | “Parents were afraid the vaccines were unsafe after what happened with Dengvaxia.” (Philippine) [18] |
| Traditional beliefs | “Some parents believe herbal treatments are safer than injections.”(Vietnam) [3] | |
| Religious norms | “Imams in our village told us vaccines are not halal.” (Pakistan) [11] | |
| Househod and caregiver dynamics | Patriarchal decision-making | “My husband decides whether our child gets vaccinated” (Vietnam) [3] |
| Maternal employment barriers | “I had no time to take him for the shot because I work all day” (Pakistan) [22] | |
| Grandparent caregiving | “My mother-in-law thought the child had enough vaccine already.” (Philippine) [18] | |
| Migration, refugee, and mobility-related vulnerabilities | Statelessness | * Lack of legal documentation (such as ID cards) was cited as a key barrier to accessing immunization services. [19] |
| Caregiver discontinuity | “My child lives with my sister, and she forgot the schedule.” (Pakistan) [22] | |
| Mobile population | “We move often for work, so it is hard to track appointments.” (India) [10] | |
| Health system and program. | Provider-caregiver trust gap | “There’s still a lot of distrust between caregivers and providers. People hesitate when there’s no familiar face.” (Nepal) [9] |
| Health worker support | “Our health workers don’t get the support they need to reach all households.” (Nepal) [9]. | |
| Gender barrier in staff | “Some mothers refused because there was no female vaccinator available.” (Pakistan) [22] | |
| Weak community mobilization | “If the tribal chief does not support it, people don’t come.” (Pakistan) [22]. | |
| Socioeconomic and access inequities | Poverty and rural isolation | * Caregivers in remote areas often face long travel distances, making vaccination logistically difficult. (Lao PDR) [16] “Demand fluctuated. Some areas never received mobilization support.” (Pakistan) [22] |
| Education and awareness | “Coverage was much lower in communities where caregivers had limited schooling or health knowledge.” (China) [23] | |
| Provider perceptions of caregiver socioeconomic status | “Staff say caregivers who are poor or left-behind tend to miss doses more often.” (China) [23]. |
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Nulong, N.; Chutipattana, N.; Nguyen, L.T.K.; Tran, A.D.; Nguyen, U.T.T.; Le, C.N. Determinants of Parental Adherence to Childhood Immunization Among Children Under Five in Marginalized Asian Populations. Int. J. Environ. Res. Public Health 2025, 22, 1692. https://doi.org/10.3390/ijerph22111692
Nulong N, Chutipattana N, Nguyen LTK, Tran AD, Nguyen UTT, Le CN. Determinants of Parental Adherence to Childhood Immunization Among Children Under Five in Marginalized Asian Populations. International Journal of Environmental Research and Public Health. 2025; 22(11):1692. https://doi.org/10.3390/ijerph22111692
Chicago/Turabian StyleNulong, Nitima, Nirachon Chutipattana, Lan Thi Kieu Nguyen, An Dai Tran, Uyen Thi To Nguyen, and Cua Ngoc Le. 2025. "Determinants of Parental Adherence to Childhood Immunization Among Children Under Five in Marginalized Asian Populations" International Journal of Environmental Research and Public Health 22, no. 11: 1692. https://doi.org/10.3390/ijerph22111692
APA StyleNulong, N., Chutipattana, N., Nguyen, L. T. K., Tran, A. D., Nguyen, U. T. T., & Le, C. N. (2025). Determinants of Parental Adherence to Childhood Immunization Among Children Under Five in Marginalized Asian Populations. International Journal of Environmental Research and Public Health, 22(11), 1692. https://doi.org/10.3390/ijerph22111692

