Spatial pattern and associated factors of timely vaccination in Ethiopia using EDHS-2016 data: A multilevel and spatial analysis

Age-appropriate vaccination or vaccine timeliness is the administering of vaccines on the specified schedule of immunization. One of the qualities of the immunization program is an age-appropriate vaccine, it has become an ignored indicator of program performance. Even though age-appropriate vaccina...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2024-02, Vol.19 (2), p.e0296123-e0296123
Main Authors: Agimas, Muluken Chanie, Asmamaw, Meron, Mekonen, Nebiyu, Mamo, Fantu, Shewaye, Daniel Alayu
Format: Article
Language:English
Subjects:
Analysis
BCG
BCG vaccines
Biology and Life Sciences
Child
Children
Computer and Information Sciences
Cross-Sectional Studies
Earth Sciences
Ethiopia - epidemiology
Female
Health aspects
Health Surveys
Humans
Immunization
Medical care
Medicine and Health Sciences
Methods
Multilevel Analysis
People and Places
Social aspects
Spatial Analysis
Spatial analysis (Statistics)
Utilization
Vaccination
Vaccines
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Age-appropriate vaccination or vaccine timeliness is the administering of vaccines on the specified schedule of immunization. One of the qualities of the immunization program is an age-appropriate vaccine, it has become an ignored indicator of program performance. Even though age-appropriate vaccination is critical for child health, there are no national-level studies to generate conclusive and tangible evidence about the determination of timely vaccination in Ethiopia. To assess the spatial pattern and associated factors of timely vaccination in Ethiopia using EDHS-2016 data: A multilevel and spatial analysis. Community based cross-sectional study design was employed from 18 January to 27 June 2016. To select the participants, two-stage cluster sampling was employedin the Ethiopian Demographic Health Survey 2016 data. Permission was obtained via online request by explaining the aim of this particular study from DHS international. A statistical package for social science-21 software was used for data cleaning, recoding, and analysis. Arc GIS 10.3 software was used to show the spatial variation of age-appropriate vaccination practices. A generalized linear mixed-effect model was used. For all models, intra-class correlation, a proportional change in variance, the log-likelihood test, and the Akaike information criterion were calculated. The best model was selected by the lowest value Akaike information criterion. Variables with a p-value less than 0.05 and a 95% confidence level were considered for the statistically significant association. The spatial distribution of age-appropriate vaccination practice in Ethiopia was non-randomly distributed with the global Moran's I value of 0.22 (p-value
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0296123