William Love

Love, W. J., Wang, C. A., & Lanzas, C. (2022). 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. https://doi.org/10.1093/jacamr/dlac068

Cazer, C. L., Al-Mamun, M. A., Kaniyamattam, K., Love, W. J., Booth, J. G., Lanzas, C., & Grohn, Y. T. (2020). Shared Multidrug Resistance Patterns in Chicken-Associated Escherichia coli Identified by Association Rule Mining (vol 10, 687, 2019). FRONTIERS IN MICROBIOLOGY, Vol. 11. https://doi.org/10.3389/fmicb.2020.01359

Moisa, S. J., Aly, S. S., Lehenbauer, T. W., Love, W. J., Rossitto, P. V., Van Eenennaam, A. L., … Hulbert, L. E. (2019). 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. https://doi.org/10.1177/1040638718807242

Zawack, K., Love, W. J., Lanzas, C., Booth, J. G., & Grohn, Y. T. (2019). Estimation of multidrug resistance variability in the National Antimicrobial Monitoring System. PREVENTIVE VETERINARY MEDICINE, 167, 137–145. https://doi.org/10.1016/j.prevetmed.2019.03.006

Maier, G. U., Love, W. J., Karle, B. M., Dubrovsky, S. A., Williams, D. R., Champagne, J. D., … Aly, S. S. (2019). 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. https://doi.org/10.3168/jds.2018-14773

Karle, B. M., Maier, G. U., Love, W. J., Dubrovsky, S. A., Williams, D. R., Anderson, R. J., … Aly, S. S. (2019). Regional management practices and prevalence of bovine respiratory disease in California's preweaned dairy calves. JOURNAL OF DAIRY SCIENCE, 102(8), 7583–7596. https://doi.org/10.3168/jds.2018-14775

Cazer, C. L., Al-Mamun, M. A., Kaniyamattam, K., Love, W. J., Booth, J. G., Lanzas, C., & Grohn, Y. T. (2019). Shared Multidrug Resistance Patterns in Chicken-Associated Escherichia coli Identified by Association Rule Mining. FRONTIERS IN MICROBIOLOGY, 10. https://doi.org/10.3389/fmicb.2019.00687

Zawack, K., Love, W., Lanzas, C., Booth, J. G., & Grohn, Y. T. (2018). Inferring the interaction structure of resistance to antimicrobials. Preventive Veterinary Medicine, 152, 81–88. https://doi.org/10.1016/j.prevetmed.2018.02.007

Love, W. J., Zawack, K. A., Booth, J. G., Grohn, Y. T., & Lanzas, C. (2016). Markov networks of collateral resistance: National antimicrobial resistance monitoring system surveillance results from Escherichia coli isolates, 2004-2012. PLoS Computational Biology, 12(11). https://doi.org/10.1371/journal.pcbi.1005160

Zawack, K., Li, M., Booth, J. G., Love, W., Lanzas, C., & Grohm, Y. T. (2016). Monitoring antimicrobial resistance in the food supply chain and its implications for FDA policy initiatives. Antimicrobial Agents and Chemotherapy, 60(9), 5302–5311. https://doi.org/10.1128/aac.00688-16