Cristina Lanzas

One Health antimicrobial resistance modelling: from science to policy

Redman-White, C. J., Knight, G., Lanzas, C., Mader, R., Bunnik, B., Mardones, F. O., … Moran, D. (2026, January 1). Science in One Health, Vol. 1.

P-1022. Modeling the Impact of Sampling Intensity on Observing C. difficile Transmission in Healthcare Settings

Curtis, S., Arya, S., & Lanzas, C. (2026, January 1). Open Forum Infectious Diseases, Vol. 1.

Effects of regional diversity on antimicrobial prescribing in dogs and cats in North Carolina from 2019 to 2020

Jolley, A., Love, W., Frey, E., Riggott, J., Carrier, N., May, C., … Lanzas, C. (2025, April 29). JAC-Antimicrobial Resistance, Vol. 7.

Genomic Dynamics of the Emergent Candida auris : Exploring Climate-dependent Trends

Jara, M., Frias-De-Diego, A., Petit, R. A., Wang, Y., Frias, M., & Lanzas, C. (2025, July 25). Open Forum Infectious Diseases.

Influence of Sequencing Technology on Pangenome-Level Analysis and Detection of Antimicrobial Resistance Genes in ESKAPE Pathogens

Frias-De-Diego, A., Jara, M., & Lanzas, C. (2025, March 26). Open Forum Infectious Diseases, Vol. 12.

Influence of Sequencing Technology on Pangenome-level Analysis and Detection of Antimicrobial Resistance Genes in ESKAPE Pathogens

Frias-De-Diego, A., Jara, M., & Lanzas, C. (2025, January 11).

Risk factors for fluoroquinolone- and macrolide-resistance among swine Campylobacter coli using multi-layered chain graphs

Wang, C. A., Love, W. J., Jara, M., Vliet, A. H. M., Thakur, S., & Lanzas, C. (2025, January 16).

Risk factors for fluoroquinolone- and macrolide-resistance among swine Campylobacter coli using multi-layered chain graphs

Wang, C. A., Love, W. J., Jara, M., Vliet, A. H. M., Thakur, S., & Lanzas, C. (2025, August 13). (N. M. Dixit, Ed.). PLoS Computational Biology, Vol. 21.

Analysis of within-pen and between-pen fenceline temporal contact networks in confined feedlot cattle

Seger, H. L., Sanderson, M. W., White, B. J., & Lanzas, C. (2024, April 16). Preventive Veterinary Medicine, Vol. 227.

Geographic disparities and predictors of COVID-19 vaccination in Missouri: a retrospective ecological study

Lacy, A., Khan, M. M., Nath, N. D., Das, P., Igoe, M., Lenhart, S., … Odoi, A. (2024, March 11). Frontiers in Public Health, Vol. 12.

Modeling county level COVID-19 transmission in the greater St. Louis area: Challenges of uncertainty and identifiability when fitting mechanistic models to time-varying processes

Das, P., Igoe, M., Lacy, A., Farthing, T., Timsina, A., Lanzas, C., … Lloyd, A. L. (2024, March 25). Mathematical Biosciences, Vol. 371.

Quantifying trade-offs between therapeutic efficacy and resistance dissemination for enrofloxacin dose regimens in cattle

Deb, L. C., Timsina, A., Lenhart, S., Foster, D., & Lanzas, C. (2024, September 4). Scientific Reports, Vol. 14.

The contribution of community transmission to the burden of hospital-associated pathogens: A systematic scoping review of epidemiological models

Lin, G., Poleon, S., Hamilton, A., Salvekar, N., Jara, M., Haghpanah, F., … Klein, E. (2024, December 16). One Health, Vol. 20.

The effect of temporal resolution and contact duration on Real-Time location system-based contact networks for confined feedlot cattle

Seger, H. L., Sanderson, M. W., White, B. J., & Lanzas, C. (2024, December 13). Preventive Veterinary Medicine, Vol. 235.

Distilling Mechanistic Models From Multi-Omics Data

Erwin, S., Fletcher, J. R., Sweeney, D. C., Theriot, C. M., & Lanzas, C. (2023, September 6).

Early coronavirus disease 2019 (COVID-19) pandemic effects on individual-level risk for healthcare-associated infections in hospitalized patients

Farthing, T. S., Jolley, A., Nickel, K. B., Hill, C., Stwalley, D., Reske, K. A., … Lanzas, C. (2023, June 29). Infection Control and Hospital Epidemiology, Vol. 6.

Early evaluation of the Food and Drug Administration (FDA) guidance on antimicrobial use in food animals on antimicrobial resistance trends reported by the National Antimicrobial Resistance Monitoring System (2012–2019)

Deb, L. C., Jara, M., & Lanzas, C. (2023, June 16). One Health, Vol. 17.

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

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

Modeling impact of vaccination on COVID-19 dynamics in St. Louis

Lacy, A., Igoe, M., Das, P., Farthing, T., Lloyd, A. L., Lanzas, C., … Lenhart, S. (2023, December 5). Journal of Biological Dynamics, Vol. 17.

A review of epidemiological models of Clostridioides difficile transmission and control (2009–2021)

Lanzas, C., Jara, M., Tucker, R., & Curtis, S. (2022, February 22). Anaerobe, Vol. 74, p. 102541.

Epidemiology of Plasmid Lineages Mediating the Spread of Extended-Spectrum Beta-Lactamases among Clinical Escherichia coli

Mahmud, B., Wallace, M. A., Reske, K. A., Alvarado, K., Muenks, C. E., Rasmussen, D. A., … Dantas, G. (2022, August 22). (C. W. Marshall, Ed.). MSystems, Vol. 8.

Extensions of mean-field approximations for environmentally-transmitted pathogen networks

Davies, K., Lenhart, S., Day, J., Lloyd, A. L., & Lanzas, C. (2022, November 4). Mathematical Biosciences & Engineering, pp. ["1637–1673"].

Geographic disparities and determinants of COVID-19 incidence risk in the greater St. Louis Area, Missouri (United States)

Das, P., Igoe, M., Lenhart, S., Luong, L., Lanzas, C., Lloyd, A. L., & Odoi, A. (2022, September 28). PLoS ONE, Vol. 17.

Geographic disparities and predictors of COVID-19 hospitalization risks in the St. Louis Area, Missouri (USA)

Igoe, M., Das, P., Lenhart, S., Lloyd, A. L., Luong, L., Tian, D., … Odoi, A. (2022, February 15). BMC Public Health, Vol. 2.

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

Love, W. J., Wang, C. A., & Lanzas, C. (2022, July 4). JAC-Antimicrobial Resistance, Vol. 7.

Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach

Farthing, T. S., & Lanzas, C. (2021, November 12). Epidemics, Vol. 12.

Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: an agent-based modeling approach

Farthing, T. S., & Lanzas, C. (2021, January 22). (Vol. 1). Vol. 1.

Combining epidemiological and ecological methods to quantify social effects on Escherichia coli transmission

Farthing, T. S., Dawson, D. E., Sanderson, M. W., Seger, H., & Lanzas, C. (2021, October 1). Royal Society Open Science, Vol. 10.

Identifying patient-level risk factors associated with non- β -lactam resistance outcomes in invasive methicillin-resistant Staphylococcus aureus infections in the United States using chain graphs

Love, W. J., Wang, C. A., & Lanzas, C. (2021, November 14). (Vol. 11). Vol. 11.

Inferring environmental transmission using phylodynamics: a case-study using simulated evolution of an enteric pathogen

Journal of The Royal Society Interface, 18(179), 20210041.

Mathematically modeling the effect of touch frequency on the environmental transmission of Clostridioides difficile in healthcare settings

Sulyok, C. J., Fox, L., Ritchie, H., Lanzas, C., Lenhart, S., & Day, J. (2021, July 24). Mathematical Biosciences, Vol. 10.

Modelling the role of mortality‐based response triggers on the effectiveness of African swine fever control strategies

Transboundary and Emerging Diseases, 69(4).

When can we stop wearing masks? Agent-based modeling to identify when vaccine coverage makes nonpharmaceutical interventions for reducing SARS-CoV-2 infections redundant in indoor gatherings

Farthing, T. S., & Lanzas, C. (2021, April 27). (Vol. 4). Vol. 4.

Accounting for space and uncertainty in real‐time location system‐derived contact networks

Farthing, T. S., Dawson, D. E., Sanderson, M. W., & Lanzas, C. (2020, April 12). Ecology and Evolution.

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

Cazer, C. L., Al-Mamun, M. A., Kaniyamattam, K., Love, W. J., Booth, J. G., Lanzas, C., & Gröhn, Y. T. (2020, June 30). Frontiers in Microbiology, Vol. 11.

Ecological and Socioeconomic Factors Associated with Bartonella henselae Exposure in Dogs Tested for Vector-Borne Diseases in North Carolina

Vector-Borne and Zoonotic Diseases, 19(8), 582–595.

Estimation of multidrug resistance variability in the National Antimicrobial Monitoring System

Zawack, K., Love, W. J., Lanzas, C., Booth, J. G., & Gröhn, Y. T. (2019, March 12). Preventive Veterinary Medicine, Vol. 167, pp. 137–145.

Metapopulation Model from Pathogen’s Perspective: A Versatile Framework to Quantify Pathogen Transfer and Circulation between Environment and Hosts

Chen, S., Lanzas, C., Lee, C., Zenarosa, G. L., Arif, A. A., & Dulin, M. (2019, February 8). Scientific Reports, Vol. 9.

Multi-scale dynamics of infectious diseases

Garabed, R. B., Jolles, A., Garira, W., Lanzas, C., Gutierrez, J., & Rempala, G. (2019, December 13). Interface Focus, Vol. 10, p. 20190118.

On modelling environmentally transmitted pathogens

Lanzas, C., Davies, K., Erwin, S., & Dawson, D. (2019, December 13). Interface Focus, Vol. 10.

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

Cazer, C. L., Al-Mamun, M. A., Kaniyamattam, K., Love, W. J., Booth, J. G., Lanzas, C., & Gröhn, Y. T. (2019, April 12). Frontiers in Microbiology, Vol. 10.

Inferring the interaction structure of resistance to antimicrobials

Zawack, K., Love, W., Lanzas, C., Booth, J. G., & Gröhn, Y. T. (2018, February 12). Preventive Veterinary Medicine, Vol. 152, pp. 81–88.

Investigating behavioral drivers of seasonal Shiga-Toxigenic Escherichia Coli (STEC) patterns in grazing cattle using an agent-based model

Dawson, D. E., Keung, J. H., Napoles, M. G., Vella, M. R., Chen, S., Sanderson, M. W., & Lanzas, C. (2018, October 10). PLoS ONE, Vol. 13.

Phenotypical resistance correlation networks for 10 non-typhoidalSalmonellasubpopulations in an active antimicrobial surveillance programme

Love, W. J., Zawack, K. A., Booth, J. G., Gröhn, Y. T., & Lanzas, C. (2018, April 30). Epidemiology and Infection.

Shifts in the Gut Metabolome and Clostridium difficile Transcriptome throughout Colonization and Infection in a Mouse Model

Fletcher, J. R., Erwin, S., Lanzas, C., & Theriot, C. M. (2018, March 27). MSphere, Vol. 3.

Transmission on empirical dynamic contact networks is influenced by data processing decisions

Dawson, D. E., Farthing, T. S., Sanderson, M. W., & Lanzas, C. (2018, August 29). Epidemics, Vol. 26, pp. 32–42.

A proposed analytic framework for determining the impact of an antimicrobial resistance intervention

Grohn, Y. T., Carson, C., Lanzas, C., Pullum, L., Stanhope, M., & Volkova, V. (2017, May 16). Animal Health Research Reviews, Vol. 18, pp. 1–25.

Arresting Contagion: Science, Policy, and Conflicts Over Animal Disease Control. By Alan L. Olmstead and Paul W. Rhode. Cambridge (Massachusetts): Harvard University Press. $49.95. xi + 465 p.; ill.; index. ISBN: 978-0-674-72877-6. 2015.

The Quarterly Review of Biology, 92(4), 456–457.

Mathematical Modeling of the Effects of Nutrient Competition and Bile Acid Metabolism by the Gut Microbiota on Colonization Resistance Against Clostridium difficile

In Association for Women in Mathematics Series (pp. 137–161).

Optimal control of vaccination rate in an epidemiological model of Clostridium difficile transmission

Stephenson, B., Lanzas, C., Lenhart, S., & Day, J. (2017, May 8). Journal of Mathematical Biology, Vol. 75, pp. 1693–1713.

Pathogen transfer through environment–host contact: an agent-based queueing theoretic framework

Chen, S., Lenhart, S., Day, J. D., Lee, C., Dulin, M., & Lanzas, C. (2017, September 30). Mathematical Medicine and Biology A Journal of the IMA, Vol. 35, pp. 409–425.

An Evaluation of Food as a Potential Source forClostridium difficileAcquisition in Hospitalized Patients

Kwon, J. H., Lanzas, C., Reske, K. A., Hink, T., Seiler, S. M., Bommarito, K. M., … Dubberke, E. R. (2016, October 3). Infection Control and Hospital Epidemiology, Vol. 37, pp. 1401–1407.

Antimicrobial Stewardship and Environmental Decontamination for the Control of Clostridium difficile Transmission in Healthcare Settings

Bintz, J., Lenhart, S., & Lanzas, C. (2016, November 8). Bulletin of Mathematical Biology, Vol. 79, pp. 36–62.

Basic Reproduction Number and Transmission Dynamics of Common Serogroups of Enterohemorrhagic Escherichia coli

Chen, S., Sanderson, M. W., Lee, C., Cernicchiaro, N., Renter, D. G., & Lanzas, C. (2016, July 12). Applied and Environmental Microbiology, Vol. 82, pp. 5612–5620.

Distinction and connection between contact network, social network, and disease transmission network

Chen, S., & Lanzas, C. (2016, July 5). Preventive Veterinary Medicine, Vol. 131, pp. 8–11.

Epigenetics, Obesity and Early-Life Cadmium or Lead Exposure

Park, S. S., Skaar, D. A., Jirtle, R. L., & Hoyo, C. (2016, December 16). Epigenomics, Vol. 9, pp. 57–75.

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

Love, W. J., Zawack, K. A., Booth, J. G., Grӧhn, Y. T., & Lanzas, C. (2016, November 16). (M. M. Tanaka, Ed.). PLoS Computational Biology, Vol. 12, p. e1005160.

Mathematical modeling tools to study preharvest food safety

Microbiology Spectrum, 4(4).

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

Zawack, K., Li, M., Booth, J. G., Love, W., Lanzas, C., & Gröhn, Y. T. (2016, June 22). Antimicrobial Agents and Chemotherapy, Vol. 60, pp. 5302–5311.

Spatial-Temporal Dynamics of High-Resolution Animal Networks: What Can We Learn from Domestic Animals?

Chen, S., Ilany, A., White, B. J., Sanderson, M. W., & Lanzas, C. (2015, June 24). PLoS ONE, Vol. 10.

Accurate prediction of major histocompatibility complex class II epitopes by sparse representation via ℓ1-minimization

Aguilar-Bonavides, C., Sanchez-Arias, R., & Lanzas, C. (2014, November 4). BioData Mining.

Complex system modelling for veterinary epidemiology

Lanzas, C., & Chen, S. (2014, October 5). Preventive Veterinary Medicine, Vol. 118, pp. 207–214.

Effectiveness of Screening Hospital Admissions to Detect Asymptomatic Carriers of Clostridium difficile: A Modeling Evaluation

Lanzas, C., & Dubberke, E. R. (2014, June 20). Infection Control and Hospital Epidemiology, Vol. 35, pp. 1043–1050.

Highly dynamic animal contact network and implications on disease transmission

Chen, S., White, B. J., Sanderson, M. W., Amrine, D. E., Ilany, A., & Lanzas, C. (2014, March 26). Scientific Reports, Vol. 4.

Evaluating targets for control of plasmid-mediated antimicrobial resistance in enteric commensals of beef cattle: a modelling approach

VOLKOVA, V. V., LU, Z., LANZAS, C., & GROHN, Y. T. (2013, January 23). Epidemiology and Infection, Vol. 141, pp. 2294–2312.

Evalution of the “Iceberg Phenomenon” in Johne's Disease through Mathematical Modelling

Magombedze, G., Ngonghala, C. N., & Lanzas, C. (2013, October 22). PLoS ONE, Vol. 8.

Modelling dynamics of plasmid-gene mediated antimicrobial resistance in enteric bacteria using stochastic differential equations

Volkova, V. V., Lu, Z., Lanzas, C., Scott, H. M., & Gröhn, Y. T. (2013, August 28). Scientific Reports, Vol. 3.

Temporal-spatial heterogeneity in animal-environment contact: Implications for the exposure and transmission of pathogens

Chen, S., Sanderson, M. W., White, B. J., Amrine, D. E., & Lanzas, C. (2013, November 1). Scientific Reports, Vol. 3.

Investigating effects of between- and within-host variability on Escherichia coli O157 shedding pattern and transmission

Chen, S., Sanderson, M., & Lanzas, C. (2012, October 3). Preventive Veterinary Medicine, Vol. 109, pp. 47–57.

Mathematical Model of Plasmid-Mediated Resistance to Ceftiofur in Commensal Enteric Escherichia coli of Cattle

Volkova, V. V., Lanzas, C., Lu, Z., & Gröhn, Y. T. (2012, May 16). PLoS ONE, Vol. 7.

Epidemiological Model forClostridium difficileTransmission in Healthcare Settings

Lanzas, C., Dubberke, E. R., Lu, Z., Reske, K. A., & Gröhn, Y. T. (2011, May 10). Infection Control and Hospital Epidemiology, Vol. 32, pp. 553–561.

Mathematical Modeling of the Transmission and Control of Foodborne Pathogens and Antimicrobial Resistance at Preharvest

Lanzas, C., Lu, Z., & Gröhn, Y. T. (2010, November 3). Foodborne Pathogens and Disease, Vol. 8, pp. 1–10.

The Ecology and Pathobiology of Clostridium difficile Infections: An Interdisciplinary Challenge

Dubberke, E. R., Haslam, D. B., Lanzas, C., Bobo, L. D., Burnham, C.-A. D., Gröhn, Y. T., & Tarr, P. I. (2010, September 24). Zoonoses and Public Health, Vol. 58, pp. 4–20.

Development of a mechanistic model to represent the dynamics of particle flow out of the rumen and to predict rate of passage of forage particles in dairy cattle

Seo, S., Lanzas, C., Tedeschi, L. O., Pell, A. N., & Fox, D. G. (2009, July 21). Journal of Dairy Science, Vol. 92, pp. 3981–4000.

Model or meal? Farm animal populations as models for infectious diseases of humans

Lanzas, C., Ayscue, P., Ivanek, R., & Gröhn, Y. T. (2009, December 23). Nature Reviews Microbiology, Vol. 8, pp. 139–148.

Modeling On-FarmEscherichia coliO157:H7 Population Dynamics

Ayscue, P., Lanzas, C., Ivanek, R., & Gröhn, Y. T. (2009, March 18). Foodborne Pathogens and Disease, Vol. 6, pp. 461–470.

Transmission Dynamics of a Multidrug-ResistantSalmonellaTyphimurium Outbreak in a Dairy Farm

Lanzas, C., Warnick, L. D., James, K. L., Wright, E. M., Wiedmann, M., & Gröhn, Y. T. (2009, November 17). Foodborne Pathogens and Disease, Vol. 7, pp. 467–474.

Improved Feed Protein Fractionation Schemes for Formulating Rations with the Cornell Net Carbohydrate and Protein System

Lanzas, C., Broderick, G. A., & Fox, D. G. (2008, November 26). Journal of Dairy Science, Vol. 91, pp. 4881–4891.

The effect of heterogeneous infectious period and contagiousness on the dynamics ofSalmonellatransmission in dairy cattle

LANZAS, C., BRIEN, S., IVANEK, R., LO, Y., CHAPAGAIN, P. P., RAY, K. A., … GRÖHN, Y. T. (2008, January 16). Epidemiology and Infection, Vol. 136, pp. 1496–1510.

The risk and control ofSalmonellaoutbreaks in calf-raising operations: a mathematical modeling approach

Lanzas, C., Warnick, L. D., Ivanek, R., Ayscue, P., Nydam, D. V., & Gröhn, Y. T. (2008, September 8). Veterinary Research, Vol. 39.