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Quantitative microbial risk assessment for spray Irrigation of Dairy Based on a Empirical Fate and Transport Model
- Burch, Tucker R., Spencer, Susan K., Stokdyk, Joel P., Kieke Jr., Burney A., Larson, Rebecca A., Firnstahl, Aaron D., Rule, Ana M., Borchardt, Mark A.
- Environmental Health Perspectives 2017 v.125 no.8
- Campylobacter jejuni, Monte Carlo method, Salmonella, air, dairy manure, digestive system diseases, economies of scale, enterohemorrhagic Escherichia coli, environmental health, farms, human health, microbiological risk assessment, models, pathogens, quantitative analysis, relative humidity, risk, risk estimate, risk reduction, solar radiation, sprinkler irrigation, temperature, wind speed, zoonoses, United States
- Background: Spray irrigation for land-applying livestock manure is increasing in the United States as farms become larger and economies of scale make manure irrigation affordable. Human health risks from exposure to zoonotic pathogens aerosolized during manure irrigation are not well understood. Objectives: We aimed to a) estimate human health risks due to aerosolized zoonotic pathogens downwind of spray-irrigated dairy manure; and b) determine which factors (e.g., distance, weather conditions) have the greatest influence on risk estimates. Methods: We sampled downwind air concentrations of manure-borne fecal indicators and zoonotic pathogens during 21 full-scale dairy manure irrigation events at three farms. We fit these data to hierarchical empirical models and used model outputs in a quantitative microbial risk assessment (QMRA) to estimate risk [probability of acute gastrointestinal illness (AGI)] for individuals exposed to spray-irrigated dairy manure containing Campylobacter jejuni, enterohemorrhagic Escherichia coli (EHEC), or Salmonella spp. Results: Median risk estimates from Monte Carlo simulations ranged from 10−5 to 10−2 and decreased with distance from the source. Risk estimates for Salmonella or EHEC-related AGI were most sensitive to the assumed level of pathogen prevalence in dairy manure, while risk estimates for C. jejuni were not sensitive to any single variable. Airborne microbe concentrations were negatively associated with distance and positively associated with wind speed, both of which were retained in models as a significant predictor more often than relative humidity, solar irradiation, or temperature. Conclusions: Our model-based estimates suggest that reducing pathogen prevalence and concentration in source manure would reduce the risk of AGI from exposure to manure irrigation, and that increasing the distance from irrigated manure (i.e., setbacks) and limiting irrigation to times of low wind speed may also reduce risk.