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The spatial epidemiology of childhood diseases in Malawi and Zambia

The spatial epidemiology of childhood diseases in Malawi and Zambia
The spatial epidemiology of childhood diseases in Malawi and Zambia
This paper applies a Bayesian geo-additive generalized linear model to describe the spatial variation, at the district level, on the prevalence of diarrhea, fever and cough among children under 5 years of age using the 1992 Demographic and Health surveys (DHS) from Malawi and Zambia. The modelling technique employed here may be applicable to other research questions in the DHS data sets. The range of observed childhood diarrhea, fever and cough were dichotomized into high or low districts in Malawi and Zambia. We mapped the residual districts spatial effects of these three ailments and explored the clustering of high or low diarrhea, fever and cough rates districts across space after controlling for all other confounding factors. We find visual evidence that high or low morbidity districts spatially cluster together within each country. This evidence suggests that relatively high or low childhood morbidity persist within a spatial region and population, suggesting that research efforts may be focused on these clusters to assess local causes (environmental, cultural etc...) of high or low childhood morbidity.
0850-5780
199-226
Ngianga-Bakwin, Kandala
0b58153e-6574-451a-bdbc-b6ad548266cd
Madise, Nyovani
2ea2fbcc-50da-4696-a0a5-2fe01db63d8c
Ngianga-Bakwin, Kandala
0b58153e-6574-451a-bdbc-b6ad548266cd
Madise, Nyovani
2ea2fbcc-50da-4696-a0a5-2fe01db63d8c

Ngianga-Bakwin, Kandala and Madise, Nyovani (2004) The spatial epidemiology of childhood diseases in Malawi and Zambia. African Population Studies, 19 (Supplement B), 199-226.

Record type: Article

Abstract

This paper applies a Bayesian geo-additive generalized linear model to describe the spatial variation, at the district level, on the prevalence of diarrhea, fever and cough among children under 5 years of age using the 1992 Demographic and Health surveys (DHS) from Malawi and Zambia. The modelling technique employed here may be applicable to other research questions in the DHS data sets. The range of observed childhood diarrhea, fever and cough were dichotomized into high or low districts in Malawi and Zambia. We mapped the residual districts spatial effects of these three ailments and explored the clustering of high or low diarrhea, fever and cough rates districts across space after controlling for all other confounding factors. We find visual evidence that high or low morbidity districts spatially cluster together within each country. This evidence suggests that relatively high or low childhood morbidity persist within a spatial region and population, suggesting that research efforts may be focused on these clusters to assess local causes (environmental, cultural etc...) of high or low childhood morbidity.

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More information

Published date: 2004

Identifiers

Local EPrints ID: 39804
URI: http://eprints.soton.ac.uk/id/eprint/39804
ISSN: 0850-5780
PURE UUID: 8e199e8c-85f2-49d0-9e29-cddd7d7e58db
ORCID for Nyovani Madise: ORCID iD orcid.org/0000-0002-2813-5295

Catalogue record

Date deposited: 29 Jun 2006
Last modified: 22 Jul 2022 20:48

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Contributors

Author: Kandala Ngianga-Bakwin
Author: Nyovani Madise ORCID iD

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