2019
DOI: 10.3389/fphar.2019.01145
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Estimating Factors Related to Fluoroquinolone Resistance Based on One Health Perspective: Static and Dynamic Panel Data Analyses From Europe

Abstract: Objectives: Antimicrobial resistance (AMR) has become a One Health problem in which fluoroquinolone resistance has caused great concern. The aim of this study is to estimate factors related to fluoroquinolone resistance involving the professionals and antimicrobial consumption (AMC) in human and animal fields.Methods: A country-level panel data set in Europe from 2005 to 2016 was constructed. The dependent variables were measured by Escherichia coli (E. coli) and Pseudomonasaeruginosa (P. aeruginosa) resistanc… Show more

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Cited by 10 publications
(15 citation statements)
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References 43 publications
(47 reference statements)
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“…This excessive and inappropriate use is accelerating the emergence of antimicrobial resistance (AMR), which makes infections induced by microorganisms difficult to treat and sometimes incurable [3]. According to the World Health Organization (WHO), the AMR has become a global health concern since expected fatalities caused by multi-drug resistance will surpass 10 million by 2050 [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…This excessive and inappropriate use is accelerating the emergence of antimicrobial resistance (AMR), which makes infections induced by microorganisms difficult to treat and sometimes incurable [3]. According to the World Health Organization (WHO), the AMR has become a global health concern since expected fatalities caused by multi-drug resistance will surpass 10 million by 2050 [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Take statistical potential sources of bias seriously. Regression models can reveal an insignificant or even negative relationship between antimicrobial consumption and AMR [ 56 ]. While this may indeed be reflective of reality, such results can also arise from omitted variable bias (e.g., an instance in which wealthier populaces are more likely to be able to afford antimicrobials and simultaneously more likely to have well-funded WASH infrastructures which reduce the spread of resistant pathogens).…”
Section: Recommendations For Future Analysismentioning
confidence: 99%
“…AMR surveillance data for external validation (Opatowski et al, 2020) [ 61 ] The risk of human AMR acquisition in a representative Asian population is modelled using this multi-level causal model Panel regression models Data on AMR and AMU in humans and food-producing animals, as well as other relevant covariates, are collected over time and for multiple geographical units (e.g., countries or administrative areas). Human AMR is regressed against these covariates using a method such as fixed effects (static) or system GMM (dynamic) Country-level surveillance data on AMR and AMU in humans and food-producing animals over time, as well as country-level data on appropriate controls, e.g., medical staffing, portion of employment in agriculture, population density, average annual temperature, and income per capita (Zhang, Cui and Zhang, 2018) [ 56 ] Where lnAMR is log AMR prevalence in humans, i denotes country and t denotes year; MS denotes the number of medical staff and VP denotes the number of veterinary professionals; and VAMC and HAMC denote veterinary and human antimicrobial consumption Fluoroquinolone resistance in E. coli and P. aeruginosa is regressed against a series of country-level factors for a panel of European countries …”
Section: Selected Studies Relevant To the Link Between Animal Antimicrobial Use And Human Antimicrobial Resistancementioning
confidence: 99%
“…An excellent example of an increasing issue with antibiotic resistance over the years is the quinolones, to which resistance emerges as soon as they are introduced (Witzany et al, 2020; Zhang et al, 2019). The mechanism of quinolone action is the inhibition of two essential bacterial type II topoisomerase enzymes, DNA gyrase and DNA topoisomerase IV (Hooper, 1998).…”
Section: Introductionmentioning
confidence: 99%