Household health assessment and associated water sample analysis in the Miches watershed of the Dominican Republic

Background. Diarrhea and malnutrition are the leading causes of mortality for children age one to four in the Dominican Republic. Communities within the Miches watershed lack sanitation infrastructure and water purification systems, which increases the risk of exposure to water-borne pathogens. The purpose of this cross-sectional study was to analyze health information gathered through household interviews and to test water samples for the presence of diarrheagenic pathogens and antibiotic-resistant bacteria within the Miches watershed. Methods. Frequency counts and thematic analysis were used to investigate Human Health Survey responses and Fisher's exact test was used to determine correlation between water source and reported illness. Bacteria cultured from water samples were analyzed by Gram stain, real-time PCR, API® 20E biochemical identification, and for antibiotic resistance. Results. Community members reported concerns about water sources with respect to water quality, availability, and environmental contamination. Pathogenic strains of E. coli were present in the water samples. Drinking aquifer water was positively-correlated with reported stomach aches (p=0.04) while drinking from rivers or creeks was associated with the reported absence of “gripe” (cold or flu) (p=0.01). The lack of association between reported illnesses and water source for the majority of variables suggested that there were multiple vehicles of disease transmission. Antibiotic resistant bacteria were isolated from the water samples tested. Conclusions. The presence of pathogenic E. coli in water samples suggested that water is at least one route of transmission for diarrheagenic pathogens in the Miches watershed. The presence of antibiotic-resistant bacteria in the water samples may indicate the proliferation of resistance plasmids in the environment as a result of antibiotic overuse in human and animal populations and a lack of sanitation infrastructure. An intervention that targets areas of hygiene, sanitation, and water purification is recommended to limit human exposure to diarrheagenic pathogens and antibiotic-resistant organisms. ^

RESPONSES OF INDICATOR AND PATHOGENIC BACTERIA TO THE PRESENCE OF CARBARYL IN WATER

Biodegradability is a desirable, if not a necessary characteristic of pesticides. Carbaryl, as Sevin, is one of the more widely used insecticides for the control of agricultural pests and has been reported to be readily degraded by microorganisms. Because of its broad application, the concentration of Sevin in surface waters has been reported to reach nearly four parts per million (PPM) in surface waters, where it has been reported to affect the growth and metabolic rates of aquatic bacterial populations. Following these reports, it is of public health importance to determine the effects of this insecticide on the growth and metabolic rates of bacteria used to indicate water pollution, and on pathogenic organisms which are found in polluted water.^ This study was conducted to determine the effect of carbaryl on the growth and metabolic rates of indicator and pathogenic organisms. Escherichia coli and Streptococcus faecalis were used as indicators, while Staphylococcus aureus and Salmonella typhimurium were the pathogens studied. Pure and mixed cultures of these organisms were exposed to two concentrations of carbaryl (Sevin).^ The study demonstrated that the fecal pollution indicator organisms, E. coli and S. faecalis respond differently to the presence of small concentrations of carbaryl in water as do the two pathogens tested, (S. typhimurium and S. aureus). The growth of all test organisms as measured by spread plate counts, was reduced by the presence of either one mg/l or five mg/l carbaryl within a period of eight days. Survival of the organisms in the presence of five mg/l carbaryl varied dependent upon whether the organism was in pure or mixed culture. In the presence of five mg/l carbaryl, both pure and mixed culture of E. coli showed longer survival. S. faecalis survived for more than eight days in pure culture, neither S. typhimurium nor S. aureus survived for eight days in pure culture.^ The metabolic rate of S. faecalis and S. aureus was reduced by both five mg/l and one mg/l Sevin concentrations, contrary to E. coli and S. typhimurium which had reduced metabolic rate with the introduction of five mg/l Sevin but showed an increase in the metabolic rate with one mg/l Sevin. There was no difference between the test and control when mixed populations were exposed to five mg/l Sevin and the metabolic rate tested. A mixture of E. coli and S. typhimurium populations showed a respiration increase over the control when exposed to one mg/l Sevin concentration. If similar effects occur in polluted surface waters, misleading results from bacteriological water quality testing may occur. ^

Compilation of quality controlled nutrient profiles from the Mediterranean Sea

In the last decades, a striking amount of hydrographic data, covering the most part of Mediterranean basin, have been generated by the efforts made to characterize the oceanography and ecology of the basin. On the other side, the improvement in technologies, and the consequent perfecting of sampling and analytical techniques, provided data even more reliable than in the past. Nutrient data enter fully in this context, but suffer of the fact of having been produced by a large number of uncoordinated research programs and of being often deficient in quality control, with data bases lacking of intercalibration. In this study we present a computational procedure based on robust statistical parameters and on the physical dynamic properties of the Mediterranean sea and its morphological characteristics, to partially overcome the above limits in the existing data sets. Through a data pre filtering based on the outlier analysis, and thanks to the subsequent shape analysis, the procedure identifies the inconsistent data and for each basin area identifies a characteristic set of shapes (vertical profiles). Rejecting all the profiles that do not follow any of the spotted shapes, the procedure identifies all the reliable profiles and allows us to obtain a data set that can be considered more internally consistent than the existing ones.