Utilizing Structural Equation Modeling to Correlate Biosand Filter Performance and Occurrence of Diarrhea in the Village of Enseado Do Aritapera in Para, Brazil
Previously, our earlier work demonstrated the use of structural equation modeling to evaluate the effectiveness of point-of-use biosand filters (BSF) to reduce the occurrence of diarrhea in rural Guatemala. While prior research in laboratory and field locations has documented the effectiveness of BSF to remove agents of diarrhea, experience in field sites suggests that multiple local factors greatly influence the occurrence of diarrhea. In addition to the BSF, this study evaluated household education level, socioeconomic status, water source and handling, and sanitation as factors impacting the occurrence of diarrhea for households in the village of Enseado do Aritapera in Para, Brazil. Of the 18 correlations examined, 16 were negatively correlated, and the strongest correlation was between the utilization of an 'improved' water source and the reduction of the occurrence of diarrhea within the household. While proper operation and maintenance of the BSF was found to have a negative correlation with the occurrence of diarrhea, it was not the most influential factor. This result supports the prior findings from our earlier work suggesting that more research is needed to evaluate which intervention should be prioritized for maximum return on investment with aid distribution.
L. E. Voth-Gaeddert et al., "Utilizing Structural Equation Modeling to Correlate Biosand Filter Performance and Occurrence of Diarrhea in the Village of Enseado Do Aritapera in Para, Brazil," Water Science and Technology: Water Supply, vol. 15, no. 1, pp. 164-172, IWA Publishing, Feb 2015.
The definitive version is available at https://doi.org/10.2166/ws.2014.101
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Economics; Biosand Filter; Brazil; Cccurrence of Diarrhea; Influential Factors; Negative Correlation; Operation and Maintenance; Socio-Economic Status; Structural Equation Modeling; Rural Areas; Correlation; Diarrheal Disease; Filter; Laboratory Method; Article; Biofilter; Biosand Filter; Brazil; Diarrhea; Education; Household; Human; Sanitation; Scanning Electron Microscopy; Social Status; Structural Equation Modeling; Water Supply; Brazil; Para [Brazil]
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01 Feb 2015