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.
|Number of pages||18|
|Journal||International Journal of Environmental Health Research|
|Publication status||Published - 2010|
- Bayesian estimation
- diarrhoeal prevalence
- multi-level analysis
Masangwi, S. J., Ferguson, N. S., Grimason, A. M., Morse, T. D., Zawdie, G., & 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), 141-158. https://doi.org/10.1080/09603120903403143