Many antimicrobial-resistant infections are community-acquired, yet community carriage of microorganisms by healthy individuals is poorly characterized. We assessed microorganism carriage on the hands of Minnesota State Fair attendees and explored associated factors. Minnesota State Fair attendees (in 2014) from households with ≥2 members (≥1 member being <19 years old [a child]) were eligible to participate. Participants provided biological samples via a hand plating technique and completed a questionnaire on factors potentially related to microorganism carriage. Using presumptive taxonomic identifications and disk-diffusion-determined resistance phenotypes, hand-culture isolates were classified by microbial type; types were grouped into four broad categories based on inferred pathogenicity and consistency with the skin microbiota. Descriptive statistics, tests, and generalized linear mixed-effects models were used to explore associations between survey and culture data. We enrolled 206 participants from 82 households during 2 days; 50% of subjects were children. Overall, 99.5% (205/206) of hand samples yielded microorganisms. Most were non-pathogenic, whether skin microbiota (98.5% of participants) or non-skin microbiota (93.2% of participants). Only 2.4% (5/206) of samples yielded antibiotic-resistant bacteria. Children were more likely than adults to carry potentially pathogenic (OR = 3.63, 95% CI: 1.66-7.93) and presumably non-pathogenic (OR = 6.61, 95% CI: 1.67-26.15) non-skin microorganisms. Large community gatherings can serve as efficient sites for estimating the prevalence of microorganism carriage. A small proportion of participants carried antimicrobial-resistant pathogens on their hands; most carried non-pathogenic microorganisms, and no exposures specific to the state fair were associated with microorganism carriage.
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http://dx.doi.org/10.3389/fpubh.2020.574444 | DOI Listing |
J Phys Ther Educ
January 2025
John J. DeWitt is the associate director, education and professional development and associate clinical professor in the Rehab Services at The Ohio State University Wexner Medical Center, and School of Health & Rehabilitation Sciences, College of Medicine, The Ohio State University, 453 W 10th Ave, Rm 516, Columbus, OH 43210 Please address all correspondence to John J. DeWitt.
Introduction: Emerging evidence shows positive impact of postprofessional physical therapy education (residency and fellowship) specific to participants; however, outcomes on organizational impact are largely unknown. The purpose of this project was to describe the impact residency and fellowship training has on financial metrics. A secondary purpose of this case study was to describe trends associated with higher productivity.
View Article and Find Full Text PDFElife
January 2025
Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, Canada.
Several areas of the world suffer a notably high incidence of Shiga toxin-producing . To assess the impact of persistent cross-species transmission systems on the epidemiology of O157:H7 in Alberta, Canada, we sequenced and assembled O157:H7 isolates originating from collocated cattle and human populations, 2007-2015. We constructed a timed phylogeny using BEAST2 using a structured coalescent model.
View Article and Find Full Text PDFJ Comput Graph Stat
October 2023
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA.
Mixture Markov Model (MMM) is a widely used tool to cluster sequences of events coming from a finite state-space. However, the MMM likelihood being multi-modal, the challenge remains in its maximization. Although Expectation-Maximization (EM) algorithm remains one of the most popular ways to estimate the MMM parameters, however, convergence of EM algorithm is not always guaranteed.
View Article and Find Full Text PDFJDS Commun
January 2025
Council on Dairy Cattle Breeding, Bowie, MD 20716.
Over the past decades, various methods have been proposed to estimate daily milk yields from partial yields. Many of these methods divide milking interval time into varied classes, assuming that the yield correction factors are constant within classes but vary between classes. The DeLorenzo and Wiggans (D-W) method has been widely used in the United States, typically following a 2-step process.
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