دورية أكاديمية

A structural equation modelling approach to understanding the determinants of childhood vaccination in Nigeria, Uganda and Guinea

التفاصيل البيبلوغرافية
العنوان: A structural equation modelling approach to understanding the determinants of childhood vaccination in Nigeria, Uganda and Guinea
المؤلفون: James Bell, Belinda Lartey, Marcos Fernandez, Natasha Darrell, Holly Exton-Smith, Cassie Gardner, Emily Richards, Abolaji Akilo, Emmanuel Odongo, James Ssenkungu, Rigobert Kotchi Kouadio, Mamadi Cissé, Axel Bruno Ayiya Igowa Rérambyah, Maikol Adou, Rebecca West, Sunny Sharma
المصدر: PLOS Global Public Health, Vol 3, Iss 3 (2023)
بيانات النشر: Public Library of Science (PLoS), 2023.
سنة النشر: 2023
المجموعة: LCC:Public aspects of medicine
مصطلحات موضوعية: Public aspects of medicine, RA1-1270
الوصف: Vaccines have contributed to reductions in morbidity and mortality from preventable diseases globally, but low demand for vaccination threatens to reverse these gains. Explorations of the determinants of vaccination uptake may rely on proxy variables to describe complex phenomena and construct models without reference to underlying theories of vaccine demand. This study aimed to use the results of a formative qualitative study (described elsewhere) to construct and test a model to explain the determinants of vaccination uptake. Using the results of a survey among more than 3,000 primary caregivers of young children in Nigeria, Uganda and Guinea, factor analysis produced six explanatory factors. We then estimated the effects of each of these factors on uptake of immunization using a structural equation model. The results showed that the probability that a child is fully vaccinated increases if a caregiver has support from others to vaccinate them (B = 0.33, β = 0.21, p
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2767-3375
Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058155/?tool=EBI; https://doaj.org/toc/2767-3375
URL الوصول: https://doaj.org/article/efa26cfe090c4033964b057b5479edc2
رقم الأكسشن: edsdoj.fa26cfe090c4033964b057b5479edc2
قاعدة البيانات: Directory of Open Access Journals