Geographical variations and associated factors of defaulting from immunization among children aged 12 to 23 months in Ethiopia: using spatial and multilevel analysis of 2016 Ethiopian Demographic and Health Survey

Abstract Background In Ethiopia, despite the considerable improvement in immunization coverage, the burden of defaulting from immunization among children is still high with marked variation among regions. However, the geographical variation and contextual factors of defaulting from immunization were...

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Main Authors: Mukemil Awol (Author), Zewdie Aderaw Alemu (Author), Nurilign Abebe Moges (Author), Kemal Jemal (Author)
Format: Book
Published: Komiyama Printing Co. Ltd, 2021-06-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Mukemil Awol  |e author 
700 1 0 |a Zewdie Aderaw Alemu  |e author 
700 1 0 |a Nurilign Abebe Moges  |e author 
700 1 0 |a Kemal Jemal  |e author 
245 0 0 |a Geographical variations and associated factors of defaulting from immunization among children aged 12 to 23 months in Ethiopia: using spatial and multilevel analysis of 2016 Ethiopian Demographic and Health Survey 
260 |b Komiyama Printing Co. Ltd,   |c 2021-06-01T00:00:00Z. 
500 |a 10.1186/s12199-021-00984-8 
500 |a 1342-078X 
500 |a 1347-4715 
520 |a Abstract Background In Ethiopia, despite the considerable improvement in immunization coverage, the burden of defaulting from immunization among children is still high with marked variation among regions. However, the geographical variation and contextual factors of defaulting from immunization were poorly understood. Hence, this study aimed to identify the spatial pattern and associated factors of defaulting from immunization. Methods An in-depth analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS 2016) data was used. A total of 1638 children nested in 552 enumeration areas (EAs) were included in the analysis. Global Moran's I statistic and Bernoulli purely spatial scan statistics were employed to identify geographical patterns and detect spatial clusters of defaulting immunization, respectively. Multilevel logistic regression models were fitted to identify factors associated with defaulting immunization. A p value < 0.05 was used to identify significantly associated factors with defaulting of child immunization. Results A spatial heterogeneity of defaulting from immunization was observed (Global Moran's I = 0.386379, p value < 0.001), and four significant SaTScan clusters of areas with high defaulting from immunization were detected. The most likely primary SaTScan cluster was seen in the Somali region, and secondary clusters were detected in (Afar, South Nation Nationality of people (SNNP), Oromiya, Amhara, and Gambella) regions. In the final model of the multilevel analysis, individual and community level factors accounted for 56.4% of the variance in the odds of defaulting immunization. Children from mothers who had no formal education (AOR = 4.23; 95% CI: 117, 15.78), and children living in Afar, Oromiya, Somali, SNNP, Gambella, and Harari regions had higher odds of having defaulted immunization from community level. Conclusions A clustered pattern of areas with high default of immunization was observed in Ethiopia. Both the individual and community-level characteristics were statistically significant factors of defaulting immunization. Therefore, the Federal Ethiopian Ministry of Health should prioritize the areas with defaulting of immunization and consider the identified factors for immunization interventions. 
546 |a EN 
690 |a Immunization 
690 |a Defaulters 
690 |a Children 
690 |a Spatial 
690 |a Multilevel 
690 |a Associated factors 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Environmental Health and Preventive Medicine, Vol 26, Iss 1, Pp 1-17 (2021) 
787 0 |n https://doi.org/10.1186/s12199-021-00984-8 
787 0 |n https://doaj.org/toc/1342-078X 
787 0 |n https://doaj.org/toc/1347-4715 
856 4 1 |u https://doaj.org/article/e5d3b2ef82c446e9becd6034d0d6593d  |z Connect to this object online.