Copula geoadditive modelling of anaemia and malaria in young children in Kenya, Malawi, Tanzania and Uganda.
Background: Anaemia and malaria are the leading causes of sub-Saharan African childhood morbidity and mortality. This study aimed to explore the complex relationship between anaemia and malaria in young children across the districts or counties of four contiguous sub-Saharan African countries, namel...
| Publicado en: | Journal of Health, Population & Nutrition Vol. 39; no. 1 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
11/6/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146869845&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146869845 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16060997 HII jtl: Journal of Health, Population & Nutrition issn: 16060997 maglogo: N pubinfo: dt: 11/6/2020 vid: 39 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 146869845 146869845 NLM33158460 146869845 10.1186/s41043-020-00217-8 NLM33158460 146869845 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Copula geoadditive modelling of anaemia and malaria in young children in Kenya, Malawi, Tanzania and Uganda. aug: au: Roberts, Danielle J. Zewotir, Temesgen affil: School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa sug: subj: Malaria Epidemiology Anemia Epidemiology Demography Uganda Male Infant Human Malawi Female Kenya Africa South of the Sahara Child, Preschool Regression Tanzania Comparative Studies Multicenter Studies Evaluation Research Validation Studies Infant: 1-23 months Child, Preschool: 2-5 years Male Female ab: Background: Anaemia and malaria are the leading causes of sub-Saharan African childhood morbidity and mortality. This study aimed to explore the complex relationship between anaemia and malaria in young children across the districts or counties of four contiguous sub-Saharan African countries, namely Kenya, Malawi, Tanzania and Uganda, while accounting for the effects of socio-economic, demographic and environmental factors. Geospatial maps were constructed to visualise the relationship between the two responses across the districts of the countries.Methods: A joint bivariate copula regression model was used, which estimates the correlation between the two responses conditional on the linear, non-linear and spatial effects of the explanatory variables considered. The copula framework allows the dependency structure between the responses to be isolated from their marginal distributions. The association between the two responses was set to vary according to the district of residence across the four countries.Results: The study revealed a positive association between anaemia and malaria throughout the districts, the strength of which varied across the districts of the four countries. Due to this heterogeneous association between anaemia and malaria, we further considered the joint probability of each combination of outcome of anaemia and malaria to further reveal more about the relationship between the responses. A considerable number of districts had a high joint probability of a child being anaemic but not having malaria. This might suggest the existence of other significant drivers of childhood anaemia in these districts.Conclusions: This study presents an alternative technique to joint modelling of anaemia and malaria in young children which assists in understanding more about their relationship compared to techniques of multivariate modelling. The approach used in this study can aid in visualising the relationship through mapping of their correlation and joint probabilities. These maps produced can then help policy makers target the correct set of interventions, or prevent the use of incorrect interventions, particularly for childhood anaemia, the causes of which are multiple and complex. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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