Animal Feces Contribute to Domestic Fecal Contamination: Evidence from E. coli Measured in Water, Hands, Food, Flies, and Soil in Bangladesh
Ayşe ErcümenAmy J. PickeringLaura H. KwongBenjamin F. ArnoldSarker Masud ParvezMahfuja AlamDebashis SenSharmin IslamCraig Phillip KullmannClaire ChaseRokeya AhmedLeanne UnicombStephen P. LubyJohn M. Colford
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Fecal-oral pathogens are transmitted through complex, environmentally mediated pathways. Sanitation interventions that isolate human feces from the environment may reduce transmission but have shown limited impact on environmental contamination. We conducted a study in rural Bangladesh to (1) quantify domestic fecal contamination in settings with high on-site sanitation coverage; (2) determine how domestic animals affect fecal contamination; and (3) assess how each environmental pathway affects others. We collected water, hand rinse, food, soil, and fly samples from 608 households. We analyzed samples with IDEXX Quantitray for the most probable number (MPN) of E. coli. We detected E. coli in source water (25%), stored water (77%), child hands (43%), food (58%), flies (50%), ponds (97%), and soil (95%). Soil had >120 000 mean MPN E. coli per gram. In compounds with vs without animals, E. coli was higher by 0.54 logKeywords:
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The development of sound regulatory standards for fecal bacterial contamination in streams requires the determination of bacterial export rates at the watershed scale. This study reports Escherichia coli (E. coli) and fecal coliform bacteria export rate dynamics for two agricultural watersheds in till landscapes of the U.S. midwest. Bacteria concentrations in streams were lowest during the December-February period and were not significantly correlated (P > 0.05) to discharge, suggesting that discharge was not a good indicator of bacteria concentration in the study watersheds. Annual E. coli and fecal coliform export rates were similar between watersheds and varied between 4.60 X 10+ 12 MPN/km2/yr and 6.56 X 10+ 12 MPN/km2/yr for E. coli and between 2.56 X 10+ 14 MPN/km2/yr and 3.33 x 10+ 14 MPN/km2/yr for fecal coliform (MPN = most probable number). Although discharge was poorly correlated to bacteria concentration, annual E. coli and fecal coliform exports were dominated by a few precipitation events during which high flow and high bacteria concentrations occurred simultaneously. In both watersheds. 90% and 50% of annual E. coli exports occurred in approximately 16% and 2% of the time, respectively. Similarly. 90% and 50% of annual fecal coliform exports occurred in approximately 18% and 2-2.5% of the time in both watersheds. Considering the importance of some high flow events on annual bacterial export. we propose that management efforts should be focused on best management practices capable of efficiently controlling bacterial transport to streams during storms. Although high bacteria concentrations can occur at baseflow. bacteria loadings at baseflow are small and have limited impact on annual bacterial export rates at the watershed scale.
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Escherichia coli or E. coli is a member of the fecal coliform group and is a more specific indicator of fecal contamination than other fecal coliform species, its presence indicate possibly presence of harmful bacteria which will cause diseases and it also suggests the extent as well as the nature of the contaminants. E. coli bacteria able to survive in water for 4 – 12 weeks and at present, it appears as an indicator to provide the accurate bacterial contamination of fecal matter in drinking water, because of the availability of simple, affordable, fast, sensitive and exact detection techniques. According to the laboratory experiment based techniques, 24 - 48 hours are required for the bacterial concentration to be reported. So, there is a necessity for continuous monitoring. Techniques for detection of many pathogenic bacterial strains are not yet available, sometimes days to weeks are required to get the results. To overcome the difficulties, expensive and time-consuming techniques are required to detect, count and identify the presence of specific bacterial strain. Public health relies on online monitoring of water quality that depends majorly on examination of fecal indicator bacteria, thus protection of health requires fecal pollution indicator so that it is not required to analyze drinking water to overcome the problems associated with waterborne diseases. This paper will brief the classification, sources, survival of E. coli bacteria and its correlation with basic water quality parameters in water sources.```
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Abstract Recreational water quality monitoring (RWQM) is an important tool to aid public health officials in preventing exposure to waterborne pathogens originating from fecal contamination. RWQM methods rely on fecal indicator bacteria (FIB) such as E. coli or enterococci. Unfortunately, E. coli and other FIB are not strict anaerobes and can naturalize and reproduce in the environment. These naturalized populations can be resuspended due to wave action or other disturbances, sometimes giving a false positive for fecal contamination using RWQM methods. This project implemented a universal marker or a non-host specific MST target to determine whether it could differentiate between recent fecal contamination and resuspended populations of bacteria. Five public beaches in southeast Michigan were monitored for FIB and MST. The non-host specific marker in addition to the FIB was successfully applied to determine whether elevated E. coli levels were caused by recent fecal contamination or resuspension.
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Water is the main source for life and also the most severe substance caused by pollution. The mandatory parameters for determining microbiological quality of drinking water are total non-fecal Coliform bacteria and Coliform fecal (Escherichia coli). Coliform bacteria are a group of microorganisms commonly used as indicators, where these bacteria can be a signal to determine whether a water source has been contaminated by bacteria or not, while fecal Coliform bacteria are indicator bacteria polluting pathogenic bacteria originating from human feces and warm-blooded animals (mammals) . The water inspection method in this study uses the MPN (Most Probable Number) method which consists of 3 tests, namely, the presumption test, the affirmation test, and the reinforcement test. The results showed that of 15 drinking water samples 8 samples were tested positive for Coliform bacteria with the highest total bacterial value of sample number 1, 15 (210/100 ml), while 7 other samples were negative. From 8 positive Coliform samples only 1 sample was stated to be negative fecal Coliform bacteria and 7 other samples were positive for Coliform fecal bacteria with the highest total bacterial value of sample number 1 (210/100 ml).
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Microbial pathogens are among the major health problems associated with water and wastewater. Classical indicators of fecal contamination include total coliforms, Escherichia coli, and Clostridium perfringens. These fecal indicators were monitored in order to obtain information regarding their evolution during wastewater treatment processes. Helminth eggs survive for a long duration in the environment and have a high potential for waterborne transmission, making them reliable contaminant indicators. A large quantity of helminth eggs was detected in the wastewater samples using the Bailanger method. Eggs were found in the influent and effluent with average concentration ranging from 11 to 50 eggs/L. Both E. coli and total coliforms concentrations were significantly 1- to 3-fold higher in influent than in effluent. The average concentrations of E. coli ranged from 2.5 × 103 to 4.4 × 105 colony-forming units (CFU)/100 ml. Concentrations of total coliforms ranged from 3.6 × 103 to 7.9 × 105 CFU/100 ml. Clostridium perfringens was also detected in influent and effluent of wastewater treatment plants (WWTP) at average concentrations ranging from 5.4 × 102 to 9.1 × 102 most probable number (MPN)/100 ml. Significant Spearman rank correlations were found between helminth eggs and microbial indicators (total coliform, E. coli, and C. perfringens) in the WWTP. There is therefore need for additional microbial pathogen monitoring in the WWTP to minimize public health risk.
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In 1986, the U.S. Environmental Protection Agency (USEPA) recommended that Escherichia coli (E. coli) be used in place of fecal-coliform bacteria in State recreational water-quality standards as an indicator of fecal contamination. This announcement followed an epidemiological study in which E. coli concentration was shown to be a better predictor of swimming-associated gastrointestinal illness than fecal-coliform concentration. Water-resource managers from Ohio have decided to collect information specific to their waters and decide whether to use E. coli or fecal-coliform bacteria as the basis for State recreational water-quality standards. If one indicator is a better predictor of recreational water quality than the other and if the relation between the two indicators is variable, then the indicator providing the most accurate measure of recreational water quality should be used in water-quality standards. Water-quality studies of the variability of concentrations of E. coli to fecal-coliform bacteria have shown that (1) concentrations of the two indicators are positively correlated, (2) E. coli to fecal-coliform ratios differ considerably from site to site, and (3) the E. coli criteria recommended by USEPA may be more difficult to meet than current (1992) fecal-coliform standards. In this study, a statistical analysis was done on concentrations of E. coli and fecal-coliform bacteria in water samples collected by two government agencies in Ohio-- the U.S. Geological Survey (USGS) and the Ohio River Valley Water Sanitation Commission (ORSANCO). Data were organized initially into five data sets for statistical analysis: (1) Cuyahoga River, (2) Olentangy River, (3) Scioto River, (4) Ohio River at Anderson Ferry, and (5) Ohio River at Cincinnati Water Works and Tanners Creek. The USGS collected the data in sets 1, 2, and 3, whereas ORSANCO collected the data in sets 4 and 5. The relation of E. coli to fecal-coliform concentration was investigated by use of linear-regression analysis and analysis of covariance. Log-transformed E. coli and fecal-coliform concentrations were highly correlated in all data sets (r-values ranged from 0.929 to 0.984). Linear regression analysis on USGS and ORSANCO data sets showed that concentration of E. coli could be predicted from fecal-coliform concentration (coefficients of determination (R2) ranged from 0.863 to 0.970). Results of analysis of covariance (ANCOVA) indicated that the predictive equations among the three USGS data sets and two ORSANCO data sets were not significantly different and that the data could be pooled into two large data sets, one for USGS data and one for ORSANCO data. However, results of ANCOVA indicated that USGS and ORSANCO data could not be pooled into one large data set. Predictions of E. coli concentrations calculated for USGS And ORSANCO regression relations, based on fecal-coliform concentrations set to equal Ohio water-quality standards, further showed the differences in E. coli to fecal-coliform relations among data sets. For USGS data, a predicted geometric mean of 176 col/100 mL (number of colonies per 100 milliliters) was greater than the current geometric-mean E. coli standard for bathing water of 126 col/100mL. In contrast, for ORSANCO data, the predicted geometric mean of 101 col/100 mL was less than the current E. coli standard. The risk of illness associated with predicted E. coli concentrations for USGS and ORSANCO data was evaluated by use of the USEPA regression equation that predicts swimming-related gastroenteritis rates from E. coli concentrations.1 The predicted geometric-mean E. coli concentrations for bathing water of 176 col/100 mL for USGS data and 101 col/100 mL for ORSANCO data would allow 9.4 and 7.1 gastrointestinal illnesses per 1,000 swimmers, respectively. This prediction compares well with the illness rate of 8 individuals per 1,000 swimmers estimated by the USEPA for an E. coli concentration of 126 col/100 mL. Therefore, the
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Abstract The study examined the magnitude of a release of indicator bacteria (fecal coliform) from bovine fecal deposits that were rained on by a rainfall simulator at a rate of 6.1 ± 0.3 cm/h for 15 min, as affected by duration of rainfall and age of fecal deposits. Standard fecal deposits were placed on a platform and rained on with the runoff water being sampled at 5, 10, and 15 min. Samples were then examined by the most probable number (MPN) method for the presence of fecal coliforms. Results indicate the potential for bacterial pollution from bovine fecal deposits. An equilibrium in the concentration of fecal coliforms being released from the fecal deposit was reached within 10 min. Fecal deposits < 5 d of age released fecal coliforms on the order of millions/100 mL of water. Concentrations declined to 40,000/100 mL at 30 d of not‐rained on age. The decline followed a typical bacterial death curve.
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