<i>Antibiotics and antibiotic resistant bacteria and genes in northeastern dairy manure management systems � Project overview and preliminary findings from an 11 farm case study</i>

2017 ◽  
Author(s):  
Jason P Oliver ◽  
Jenna Schueler ◽  
Jerod Hurst ◽  
Emily Crossette ◽  
Kathryn Langenfeld ◽  
...  
Keyword(s):  
Dairy Manure ◽  
Management Systems ◽  
Resistant Bacteria ◽  
Manure Management ◽  
Antibiotic Resistant Bacteria ◽  
Antibiotic Resistant

scholarly journals A dose response model for quantifying the infection risk of antibiotic-resistant bacteria

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Srikiran Chandrasekaran ◽  
Sunny C. Jiang
Keyword(s):  
Dose Response ◽  
Human Health Risk ◽  
Infection Risk ◽  
Resistant Bacteria ◽  
Microbial Infection ◽  
Total Risk ◽  
Antibiotic Resistant Bacteria ◽  
Antibiotic Resistant ◽  
Regulatory Policies

AbstractQuantifying the human health risk of microbial infection helps inform regulatory policies concerning pathogens, and the associated public health measures. Estimating the infection risk requires knowledge of the probability of a person being infected by a given quantity of pathogens, and this relationship is modeled using pathogen specific dose response models (DRMs). However, risk quantification for antibiotic-resistant bacteria (ARB) has been hindered by the absence of suitable DRMs for ARB. A new approach to DRMs is introduced to capture ARB and antibiotic-susceptible bacteria (ASB) dynamics as a stochastic simple death (SD) process. By bridging SD with data from bench experiments, we demonstrate methods to (1) account for the effect of antibiotic concentrations and horizontal gene transfer on risk; (2) compute total risk for samples containing multiple bacterial types (e.g., ASB, ARB); and (3) predict if illness is treatable with antibiotics. We present a case study of exposure to a mixed population of Gentamicin-susceptible and resistant Escherichia coli and predict the health outcomes for varying Gentamicin concentrations. Thus, this research establishes a new framework to quantify the risk posed by ARB and antibiotics.

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