Science

Resources

I operate the unofficial GRDI-AMR and GRDI-AMR-OH project website. See grdi-amr.com/.

Publications

See more at Google Scholar and Research Gate.

Phillips, C., Chapman, B., Agunos, A., Carson, C. A., Parmley, E. J., Reid-Smith, R. J., Smith, B. A., & Murphy, C. P. (2022). A scoping review of factors potentially linked with antimicrobial-resistant bacteria from turkeys (iAM.AMR Project). Epidemiology and Infection, 150, e153. https://doi.org/10.1017/S0950268822001224

Collineau, L., Chapman, B., Bao, X., Sivapathasundaram, B., Carson, C. A., Fazil, A., Reid-Smith, R. J., & Smith, B. A. (2020). A farm-to-fork quantitative risk assessment model for Salmonella Heidelberg resistant to third-generation cephalosporins in broiler chickens in Canada. International Journal of Food Microbiology, 330, 108559. https://doi.org/10.1016/j.ijfoodmicro.2020.108559

Collineau, L., Phillips, C., Chapman, B., Agunos, A., Carson, C., Fazil, A., Reid-Smith, R. J., & Smith, B. A. (2020). A within-flock model of Salmonella Heidelberg transmission in broiler chickens. Preventive Veterinary Medicine, 174, 104823. https://doi.org/10.1016/j.prevetmed.2019.104823

Collineau, L., Boerlin, P., Carson, C. A., Chapman, B., Fazil, A., Hetman, B., McEwen, S. A., Parmley, E. J., Reid-Smith, R. J., Taboada, E. N., & Smith, B. A. (2019). Integrating whole-genome sequencing data into quantitative risk assessment of foodborne antimicrobial resistance: A review of opportunities and challenges. Frontiers in Microbiology, 10, 1107. https://doi.org/10.3389/fmicb.2019.01107

Carson, C., Li, X.-Z., Agunos, A., Loest, D., Chapman, B., Finley, R., Mehrotra, M., Sherk, L. M., Gaumond, R., & Irwin, R. (2019). Ceftiofur-resistant Salmonella enterica serovar Heidelberg of poultry origin – a risk profile using the Codex framework. Epidemiology and Infection, 147, e296. https://doi.org/10.1017/S0950268819001778

Murphy, C. P., Carson, C., Smith, B. A., Chapman, B., Marrotte, J., McCann, M., Primeau, C., Sharma, P., & Parmley, E. J. (2018). Factors potentially linked with the occurrence of antimicrobial resistance in selected bacteria from cattle, chickens and pigs: A scoping review of publications for use in modelling of antimicrobial resistance (IAM.AMR Project). Zoonoses and Public Health, 65(8), 957–971. https://doi.org/10.1111/zph.12515

Chapman, B., Pintar, K., & Smith, B. A. (2018). Multi‐Exposure Pathway Model to Compare Escherichia coli O157 Risks and Interventions. Risk Analysis, 38(2), 392–409. https://doi.org/10.1111/risa.12826

Chapman, B., Otten, A., Fazil, A., Ernst, N., & Smith, B. A. (2016). A review of quantitative microbial risk assessment and consumer process models for Campylobacter in broiler chickens. Microbial Risk Analysis, 2–3, 3–15. https://doi.org/10.1016/j.mran.2016.07.001