Works (11)

Updated: April 5th, 2024 09:32

2023 journal article

Impacts of the <scp>COVID</scp>‐19 pandemic on antimicrobial use in companion animals in an academic veterinary hospital in North Carolina

Zoonoses and Public Health, 70(5), 393–402.

By: A. Jolley n, W. Love n, E. Frey n & C. Lanzas n

author keywords: antimicrobial resistance; antimicrobial use; companion animals; COVID-19; pandemic
TL;DR: The pandemic significantly impacted prescribing practices of antimicrobials for companion animals in an academic veterinary hospital in this study, suggesting that judicious antimicrobial use (AMU) an important strategy for its control. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: May 1, 2023

2022 journal article

Identifying patient-level risk factors associated with non-beta-lactam resistance outcomes in invasive MRSA infections in the United States using chain graphs

JAC-ANTIMICROBIAL RESISTANCE, 4(4).

By: W. Love n, C. Wang n & C. Lanzas n

TL;DR: The differences in resistance phenotypes between patients with previous healthcare use or positive blood cultures, or from different states, may be useful to inform first-choice antibiotics to treat clinical MRSA cases. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: July 11, 2022

2020 article

Shared Multidrug Resistance Patterns in Chicken-Associated Escherichia coli Identified by Association Rule Mining (vol 10, 687, 2019)

Cazer, C. L., Al-Mamun, M. A., Kaniyamattam, K., Love, W. J., Booth, J. G., Lanzas, C., & Grohn, Y. T. (2020, June 30). FRONTIERS IN MICROBIOLOGY, Vol. 11.

By: C. Cazer*, M. Al-Mamun*, K. Kaniyamattam*, W. Love n, J. Booth*, C. Lanzas n, Y. Grohn*

author keywords: association rule mining; antimicrobial resistance; Escherichia coli; machine learning; multidrug resistance; foodborne bacteria
TL;DR: This research presents a novel probabilistic procedure that allows for direct measurement of the response of the immune system to earthquake-triggered landsliding. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 10, 2020

2019 journal article

Association of plasma haptoglobin concentration and other biomarkers with bovine respiratory disease status in pre-weaned dairy calves

JOURNAL OF VETERINARY DIAGNOSTIC INVESTIGATION, 31(1), 40–46.

By: S. Moisa n, S. Aly n, T. Lehenbauer n, W. Love n, P. Rossitto n, A. Van Eenennaam n, S. Trombetta n, E. Bortoluzzi n, L. Hulbert n

author keywords: Bovine respiratory disease; calves; haptoglobin; plasma bactericide
MeSH headings : Animals; Biomarkers / blood; Bovine Respiratory Disease Complex / diagnosis; Bovine Respiratory Disease Complex / immunology; California; Case-Control Studies; Cattle; Dairying; Female; Haptoglobins / metabolism; Immunity, Humoral; Male
TL;DR: The area under the curve (AUC) for Hp was 0.68, a value greater than those for PB or the remaining CBC parameters, indicating that Hp may be the most useful biomarker of BRD in pre-weaned dairy calves. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: February 11, 2019

2019 journal article

Estimation of multidrug resistance variability in the National Antimicrobial Monitoring System

PREVENTIVE VETERINARY MEDICINE, 167, 137–145.

By: K. Zawack*, W. Love n, C. Lanzas n, J. Booth* & Y. Grohn*

author keywords: Antimicrobial resistance; Multidrug resistance; Variability; Monitoring
MeSH headings : Animals; Anti-Bacterial Agents / pharmacology; Chickens; Drug Resistance, Multiple, Bacterial; Escherichia coli / drug effects; Food Microbiology; Meat / microbiology; Microbial Sensitivity Tests; United States
TL;DR: The level of variability in the NARMS dataset makes it difficult to detect multidrug resistance patterns at the current level of sample collection, and large scale monitoring programs should collect more variables on each of the samples. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: May 28, 2019

2019 journal article

Management factors associated with bovine respiratory disease in preweaned calves on California dairies: The BRD 100 study

JOURNAL OF DAIRY SCIENCE, 102(8), 7288–7305.

By: G. Maier*, W. Love*, B. Karle*, S. Dubrovsky*, D. Williams*, J. Champagne*, R. Anderson*, J. Rowe* ...

author keywords: dairy calf; bovine respiratory disease; risk factors
MeSH headings : Animals; Bovine Respiratory Disease Complex / epidemiology; Bovine Respiratory Disease Complex / prevention & control; California / epidemiology; Cattle; Colostrum; Cross-Sectional Studies; Dairying / methods; Diet / veterinary; Farms; Female; Housing, Animal; Male; Milk; Odds Ratio; Pregnancy; Risk Assessment; Weaning
TL;DR: This study identified management practices on California dairies with variability and that may contribute to differences in BRD prevalence, which will be incorporated into a risk-assessment tool to control and prevent BRD in preweaned dairy calves. (via Semantic Scholar)
Source: Web Of Science
Added: April 20, 2020

2019 journal article

Regional management practices and prevalence of bovine respiratory disease in California's preweaned dairy calves

JOURNAL OF DAIRY SCIENCE, 102(8), 7583–7596.

By: B. Karle*, G. Maier*, W. Love*, S. Dubrovsky*, D. Williams*, R. Anderson*, A. Van Eenennaam*, T. Lehenbauer*, S. Aly*

author keywords: dairy calf; bovine respiratory disease; California
MeSH headings : Animals; Breeding; California / epidemiology; Cattle; Cattle Diseases / epidemiology; Cattle Diseases / metabolism; Cattle Diseases / prevention & control; Cross-Sectional Studies; Female; Male; Milk / metabolism; Pregnancy; Prevalence; Respiratory Tract Diseases / epidemiology; Respiratory Tract Diseases / metabolism; Respiratory Tract Diseases / prevention & control; Respiratory Tract Diseases / veterinary
TL;DR: Management practices associated with BRD varied across the state and may be addressed to inform the adoption and implementation of potentially protective management decisions on California dairies and other regions with similar dairy systems. (via Semantic Scholar)
Source: Web Of Science
Added: April 20, 2020

2019 journal article

Shared Multidrug Resistance Patterns in Chicken-Associated Escherichia coli Identified by Association Rule Mining

FRONTIERS IN MICROBIOLOGY, 10.

By: C. Cazer*, M. Al-Mamun*, K. Kaniyamattam*, W. Love n, J. Booth*, C. Lanzas n, Y. Grohn*

author keywords: association rule mining; antimicrobial resistance; Escherichia coli; machine learning; multidrug resistance; foodborne bacteria
TL;DR: A strong subnetwork of beta-lactam resistance existed in each year and the beta- lactam resistances also had strong associations with sulfisoxazole, gentamicin, streptomycin and tetracycline resistances. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: April 29, 2019

2018 journal article

Inferring the interaction structure of resistance to antimicrobials

PREVENTIVE VETERINARY MEDICINE, 152, 81–88.

By: K. Zawack*, W. Love n, C. Lanzas n, J. Booth* & Y. Grohn*

author keywords: Interactions; Log-linear models; Bayesian statistics; Multidrug resistance
MeSH headings : Animals; Anti-Bacterial Agents / pharmacology; Bayes Theorem; Chickens; Drug Resistance, Bacterial; Escherichia coli / drug effects; Food Microbiology; Linear Models; Meat / microbiology; Turkeys
TL;DR: A Bayesian approach is adopted which reveals that E. coli resistance associations can be broken into two subnetworks, characterized by more complex interactions between a variety of drug classes that vary between the chicken and turkey datasets. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

Markov Networks of Collateral Resistance: National Antimicrobial Resistance Monitoring System Surveillance Results from Escherichia coli Isolates, 2004-2012

PLOS COMPUTATIONAL BIOLOGY, 12(11).

By: W. Love n, K. Zawack*, J. Booth*, Y. Grohn* & C. Lanzas n

Ed(s): M. Tanaka

MeSH headings : Anti-Bacterial Agents / therapeutic use; Bacterial Infections / epidemiology; Bacterial Infections / microbiology; Computer Simulation; Drug Resistance, Bacterial; Escherichia coli / drug effects; Escherichia coli / isolation & purification; Humans; Markov Chains; Models, Statistical; Population Surveillance / methods; Prevalence; Reproducibility of Results; Risk Assessment / methods; Sensitivity and Specificity; Treatment Outcome
TL;DR: The current method provides a novel method to study the joint resistance distribution, but additional work is required to unite the underlying biological and genetic characteristics of the isolates with the current results derived from phenotypic data. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

Monitoring Antimicrobial Resistance in the Food Supply Chain and Its Implications for FDA Policy Initiatives

ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, 60(9), 5302–5311.

By: K. Zawack*, M. Li*, J. Booth*, W. Love n, C. Lanzas n & Y. Grohm

MeSH headings : Abattoirs / legislation & jurisprudence; Analysis of Variance; Animals; Anti-Bacterial Agents / pharmacology; Campylobacter coli / drug effects; Campylobacter coli / growth & development; Campylobacter jejuni / drug effects; Campylobacter jejuni / growth & development; Cattle; Ciprofloxacin / pharmacology; Drug Resistance, Multiple, Bacterial; Enrofloxacin; Escherichia coli / drug effects; Escherichia coli / growth & development; Fluoroquinolones / pharmacology; Food Handling / legislation & jurisprudence; Food Microbiology; Food Supply / legislation & jurisprudence; Humans; Meat / microbiology; Microbial Sensitivity Tests; Poultry / microbiology; Salmonella typhimurium / drug effects; Salmonella typhimurium / growth & development; Swine; United States; United States Food and Drug Administration / legislation & jurisprudence
TL;DR: Detailed analysis of data provided by the National Antimicrobial Resistance Monitoring System showed the complexities of the AMR policy with no statistically significant change in resistance of both Campylobacter jejuni and Campyloblacter coli to ciprofloxacin, another second-generation fluoroquinolone. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

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