Bayesian spatial analysis of childhood diseases in Zimbabwe.
BACKGROUND
Many sub-Saharan countries are confronted with persistently high levels of childhood morbidity and mortality because of the impact of a range of demographic, biological and social factors or situational events that directly precipitate ill health. In particular, under-five morbidity and mortality have increased in recent decades due to childhood diarrhoea, cough and fever. Understanding the geographic distribution of such diseases and their relationships to potential risk factors can be invaluable for cost effective intervention.


METHODS
Bayesian semi-parametric regression models were used to quantify the spatial risk of childhood diarrhoea, fever and cough, as well as associations between childhood diseases and a range of factors, after accounting for spatial correlation between neighbouring areas. Such semi-parametric regression models allow joint analysis of non-linear effects of continuous covariates, spatially structured variation, unstructured heterogeneity, and other fixed effects on childhood diseases. Modelling and inference made use of the fully Bayesian approach via Markov Chain Monte Carlo (MCMC) simulation techniques. The analysis was based on data derived from the 1999, 2005/6 and 2010/11 Zimbabwe Demographic and Health Surveys (ZDHS).


CONCLUSIONS
The results suggest that until recently, sex of child had little or no significant association with childhood diseases. However, a higher proportion of male than female children within a given province had a significant association with childhood cough, fever and diarrhoea. Compared to their counterparts in rural areas, children raised in an urban setting had less exposure to cough, fever and diarrhoea across all the survey years with the exception of diarrhoea in 2010. In addition, the link between sanitation, parental education, antenatal care, vaccination and childhood diseases was found to be both intuitive and counterintuitive. Results also showed marked geographical differences in the prevalence of childhood diarrhoea, fever and cough. Across all the survey years Manicaland province reported the highest cases of childhood diseases. There is also clear evidence of significant high prevalence of childhood diseases in Mashonaland than in Matabeleland provinces.
Department of Geoinformatics and Surveying, University of Zimbabwe, P. O Box MP167, Mount Pleasant, Harare, Zimbabwe. tsikoruz@yahoo.com.
Rodney Godfrey
RG
Tsiko
D000293:Adolescent; D001499:Bayes Theorem; D002648:Child; D000067576:Child Health / Q000706:statistics & numerical data*; D002675:Child, Preschool; D003371:Cough / Q000453:epidemiology*; D003967:Diarrhea / Q000453:epidemiology*; D005260:Female; D005334:Fever / Q000453:epidemiology*; D006801:Humans; D008297:Male; D008390:Markov Chains; D015233:Models, Statistical; D009010:Monte Carlo Method; D015995:Prevalence; D012307:Risk Factors; D015030:Zimbabwe / Q000453:epidemiology