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Individual and community level determinants of childhood full immunization in Ethiopia: a multilevel analysis

Overview of attention for article published in BMC Public Health, September 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

policy
1 policy source
twitter
1 tweeter

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
152 Mendeley
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Title
Individual and community level determinants of childhood full immunization in Ethiopia: a multilevel analysis
Published in
BMC Public Health, September 2015
DOI 10.1186/s12889-015-2315-z
Pubmed ID
Authors

Samir A. Abadura, Wondwosen T. Lerebo, Usha Kulkarni, Zeleke A. Mekonnen

Abstract

Expanded program on immunization is one of the most successful and cost effective public health interventions that protect children against vaccine preventable diseases. The full childhood immunization coverage in many parts of Ethiopia is far from optimal. Hence, the main objective of this study was to assess factors associated with childhood full immunization in Ethiopia. The data source for this study was the 2011 Ethiopian Demographic and Health Survey. Multilevel regression analysis techniques were used to conduct the analysis. Accordingly a two level multilevel regression analysis model was built with individuals (level 1) nested with in communities (level 2). A total of 4983 children aged 12-59 months nested within 520 clusters were included in the analysis. According to the analysis results, in the year 2011, 26 % of children less than 5 years old were fully immunized in Ethiopia. Being born at health institutions, higher level of maternal education, media exposure, region of residence and residing in communities possessing higher maternal antenatal care services utilization were positively associated with childhood full immunization. In contrary to this, the number children aged less than 5 years in the household was negatively associated with childhood full immunization. The random effect results indicated that 21 % of the variation among the communities was due to community level factors. It was found that various individual and contextual factors were associated with childhood full immunization. In addition, significant community level variation remains after having controlled individual and community level factors which is an indicative of a need for further research on community level factors. Hence, utilizing multilevel modeling in determining the effect of both individual and contextual level factors simultaneously had brought an important output which may help planners, policy and decision makers to emphasize on both individuals and communities in which they live.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 152 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 45 30%
Researcher 17 11%
Student > Ph. D. Student 16 11%
Other 10 7%
Student > Doctoral Student 9 6%
Other 31 20%
Unknown 24 16%
Readers by discipline Count As %
Nursing and Health Professions 41 27%
Medicine and Dentistry 40 26%
Social Sciences 15 10%
Economics, Econometrics and Finance 8 5%
Unspecified 3 2%
Other 15 10%
Unknown 30 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2018.
All research outputs
#3,891,058
of 14,554,126 outputs
Outputs from BMC Public Health
#4,324
of 10,109 outputs
Outputs of similar age
#65,767
of 247,655 outputs
Outputs of similar age from BMC Public Health
#1
of 2 outputs
Altmetric has tracked 14,554,126 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 247,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them