Disease burden from simultaneous exposure of Cryptosporidium sp. and Giardia sp. and land use vulnerability assessment in a Costa Rican drinking water system
Eric Morales , Gabriel Ibarra , Liliana Reyes , Kenia Barrantes , Rosario Achí , Luz Chacón
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引用次数: 3
Abstract
Human and animal feces are one of the main pollutants in drinking water systems (DWS). Both sources of fecal pollution are related to environmental conditions, such as poor land use management and little micro-basin protection. Cryptosporidium sp. and Giardia sp. are zoonotic protozoan water and foodborne transmitted parasitic pathogens and a frequent cause of diarrhea in children in low- and middle-income countries. In Latin America, DWS microbial risk assessment of these parasites is scarce. The aim of this study was to apply land use analysis, quantitative microbial risk assessment (QMRA), and disease burden (DALY; disability-adjusted life years) estimation of Cryptosporidium sp. and Giardia sp. for DWS that supplies 1.4% of the Costa Rican population. Land use analysis showed pollution sources and urban activities at the catchment area of all micro-basins, demonstrating the pollution's vulnerability, especially near to catchment sites of the DWS. The risk of infection by Cryptosporidium sp. and Giardia sp. was higher than US EPA standards, and the health burdens were above WHO recommendations. The higher risk of infection was observed in the micro-basins with the higher area of urban use, mainly in the buffer zones. QMRA and land use analysis are useful tools for the characterization of possible pollution foci in hazard identification.
期刊介绍:
The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.