Bayesian Multinomial ordinal Models to analyze the risk factors and spatial patterns of childhood aneamia in Tanzania

Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/28459

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DC Field	Value	Language
dc.contributor.author	Adeyemi, R.A.	-
dc.contributor.author	Zewotir, T.	-
dc.contributor.author	Ramroop, S.	-
dc.date.accessioned	2024-05-15T09:27:23Z	-
dc.date.available	2024-05-15T09:27:23Z	-
dc.date.issued	2016-12	-
dc.identifier.citation	Adeyemi et.al (2016)	en_US
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/28459	-
dc.description	Modeling of anemia prevalence among under-five children	en_US
dc.description.abstract	Most countries in sub-Saharan Africa had missed the target in achieving the Millennium Development Goals (MDGs) for maternal and child health by 2015.Diarrhoea, cough and fever are the leading causes of childhood morbidity and mortality in sub-Saharan Africa (SSA)An estimated 3.5 million deaths each year are due to diarrhoea worldwide, 80% of which occur in under-5 children	en_US
dc.description.sponsorship	self funded	en_US
dc.language.iso	en	en_US
dc.publisher	South African Statistical Association (SASA) 2016	en_US
dc.subject	Tanzania	en_US
dc.subject	Childhood Anemia	en_US
dc.subject	Under-five children	en_US
dc.subject	Demographic and Health Survey data	en_US
dc.title	Bayesian Multinomial ordinal Models to analyze the risk factors and spatial patterns of childhood aneamia in Tanzania	en_US
dc.type	Presentation	en_US
Appears in Collections:	Statistics

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