Abstract
| Language | English |
|---|---|
| Pages | 141-158 |
| Number of pages | 18 |
| Journal | International Journal of Environmental Health Research |
| Volume | 20 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2010 |
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Keywords
- Bayesian estimation
- diarrhoeal prevalence
- multi-level analysis
- Malawi
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Household and community variations and nested risk factors for diarrhoea prevalence in Southern Malawi : a binary logistic multilevel analysis. / Masangwi, S.J.; Ferguson, N.S.; Grimason, A.M.; Morse, T.D.; Zawdie, G.; Kazembe, L.N.
In: International Journal of Environmental Health Research, Vol. 20, No. 2, 2010, p. 141-158.Research output: Contribution to journal › Article
TY - JOUR
T1 - Household and community variations and nested risk factors for diarrhoea prevalence in Southern Malawi
T2 - International Journal of Environmental Health Research
AU - Masangwi, S.J.
AU - Ferguson, N.S.
AU - Grimason, A.M.
AU - Morse, T.D.
AU - Zawdie, G.
AU - Kazembe, L.N.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Bayesian estimation
KW - diarrhoeal prevalence
KW - multi-level analysis
KW - Malawi
UR - http://www.scopus.com/inward/record.url?scp=77949396074&partnerID=8YFLogxK
U2 - 10.1080/09603120903403143
DO - 10.1080/09603120903403143
M3 - Article
VL - 20
SP - 141
EP - 158
JO - International Journal of Environmental Health Research
JF - International Journal of Environmental Health Research
SN - 0960-3123
IS - 2
ER -