2009
DOI: 10.1186/1471-2334-9-181
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Inequitable childhood immunization uptake in Nigeria: a multilevel analysis of individual and contextual determinants

Abstract: BackgroundImmunization coverage in many parts of Nigeria is far from optimal, and far from equitable.Nigeria accounts for half of the deaths from Measles in Africa, the highest prevalence of circulating wild poliovirus in the world, and the country is among the ten countries in the world with vaccine coverage below 50 percent. Studies focusing on community-level determinants therefore have serious policy implicationsMethodsMultilevel multivariable regression analysis was used on a nationally-representative sam… Show more

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Cited by 142 publications
(150 citation statements)
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References 23 publications
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“…The wealth index was divided into quintiles; from the poorest 20% to the richest 20%. Selected individual-level variables were hypothesised to be associated with invalid vaccinations based on previous literature [15,27,28]. In addition, we added a variable "year of survey" to control for possible unmeasured birth cohort effects.…”
Section: Individual-level Variablesmentioning
confidence: 99%
“…The wealth index was divided into quintiles; from the poorest 20% to the richest 20%. Selected individual-level variables were hypothesised to be associated with invalid vaccinations based on previous literature [15,27,28]. In addition, we added a variable "year of survey" to control for possible unmeasured birth cohort effects.…”
Section: Individual-level Variablesmentioning
confidence: 99%
“…Rammohan et al (2012) used logistic regression analysis to explore the likelihood of a child under five years of age being vaccinated for measles separately for Indonesia, India, Pakistan, Nigeria, Democratic Republic of Congo and Ethiopia, while Wiysonge et al (2012) used multi-level logistic regression to examine the risk factors associated with childhood immunization in 24 countries in sub-Saharan Africa at the child, community and country level. In his study, Antai (2009) employed the use of a three-level multi-level logistic regression model to assess the risk factors for childhood immunization in Nigeria in 2003 using DHS data at the child level nested within mothers who were in turn nested within com-munities. Bosch-Capblanch et al (2012) carried out a logistic regression analysis on data from 241 nationally representative household surveys in 96 countries using the unique or most recent survey for each country.…”
mentioning
confidence: 99%
“…Communities with average delivery scores between 0.03 and 0.09 were categorized as having middle hospital delivery access. Communities with average delivery scores higher than 0.10 were categorized as having high hospital delivery access (Antai 2009). …”
Section: Community-level Variablesmentioning
confidence: 99%
“…Then, each value for all women in each cluster was used to calculate an average cluster prenatal access score, which ranged from 0-0.77. Next, scores were collapsed into two categories, low versus high access to prenatal care, using a cut-off at 0.50 (Antai 2009). …”
Section: Community-level Variablesmentioning
confidence: 99%
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