Abstract
This paper describes how principal components and cluster analyses were used to quantitatively score and rank sanitary conditions in 30 areas of Salvador (Northeast Brazil) and to identify groups of areas with similar environmental quality prior to a programme to improve sanitary infrastructure. In collecting data, street by street, a broad definition of sanitary quality was used, encompassing type and quality of housing, paving, water supply, sewage disposal, drainage and household waste disposal. All variables used in the principal components analysis were coded to reflect the absence of infrastructural elements that contribute to health and environmental quality. Summary variables generated by the analysis were used to score the sanitary quality of each of the areas, and cluster analysis identified four groups of areas, representing high, intermediate, poor and very poor sanitary quality. Higher rates of parasitic infection among children aged 7-14 years of age were found in areas with the worst sanitary conditions, with prevalences increasing progressively from the group with the best sanitary quality to the group with the worst sanitary quality. This kind of analysis provides a method both to appraise the needs of each community (including being able to prioritize areas most in need and identify areas with special sanitation needs) and to score baseline conditions that later allow the impacts of interventions to be assessed.