Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Household and community variations and nested risk factors for diarrhoea prevalence in Southern Malawi : a binary logistic multilevel analysis

Masangwi, S.J. and Ferguson, N.S. and Grimason, A.M. and Morse, T.D. and Zawdie, G. and Kazembe, L.N. (2010) Household and community variations and nested risk factors for diarrhoea prevalence in Southern Malawi : a binary logistic multilevel analysis. International Journal of Environmental Health Research, 20 (2). pp. 141-158. ISSN 0960-3123

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This paper examines household and community-level influences on diarrhoeal prevalence in southern Malawi. A Bayesian multi-level modelling technique is used in the estimation of hierarchically built data from a survey of individuals nested within households nested within communities. Households have strong unobserved influence on diarrhoeal illness (s2u ¼ 4.476; 95%CI: 2.081, 6.871). A joint Wald test of significance shows that an individual's age [w24 ¼ 55:921; p ¼ 0:000] and school [w22 ¼ 18:203; p ¼ 0:000] have strong influence on an individual's diarrhoeal prevalence. An individual's history of malarial-like illness also has a strong positive relationship with diarrhoeal prevalence [b ¼ 0.606, p ¼ 0.000]. Household factors that influence diarrhoea include employment status of head of household [b ¼ 70.619, p 5 0.021], maternal age [b ¼ 70.013, p 5 0.003], and size of household [b ¼ 70.669, p ¼ 0.000]. The positive relationship between diarrhoea and malaria-like episodes highlights common risk factors hence the need for common approaches to combat the diseases. Significant household effects underline the importance of household considerations in policy issues.

Item type: Article
ID code: 16199
Keywords: Bayesian estimation, diarrhoeal prevalence, multi-level analysis, Malawi, Environmental technology. Sanitary engineering, Statistics, Public Health, Environmental and Occupational Health, Pollution, Health, Toxicology and Mutagenesis
Subjects: Technology > Environmental technology. Sanitary engineering
Social Sciences > Statistics
Department: Faculty of Engineering > Civil and Environmental Engineering
Professional Services > Academic Administration
Related URLs:
Depositing user: Dr Neil S Ferguson
Date Deposited: 12 Mar 2010 12:38
Last modified: 27 Mar 2014 08:51
URI: http://strathprints.strath.ac.uk/id/eprint/16199

Actions (login required)

View Item