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Cristina Lanzas

Associate Professor

Education

Affiliations

Projects

Papers

Dawson D, Rasmussen D, Peng X, Lanzas C. (2021). Inferring environmental transmission using phylodynamics: a case-study using simulated evolution of an enteric pathogen. Journal of the Royal Society, Interface, 18(179)

Farthing TS, Lanzas C. (2021). 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. medRxiv : the preprint server for health sciences

Sulyok CJ, Fox L, Ritchie H, Lanzas C, Lenhart S, Day J. (2021). Mathematically modeling the effect of touch frequency on the environmental transmission of Clostridioides difficile in healthcare settings. Mathematical biosciences

Farthing TS, Dawson DE, Sanderson MW, Lanzas C. (2020). Accounting for space and uncertainty in real-time location system-derived contact networks. Ecology and evolution, 10(11)

Erwin S, Foster DM, Jacob ME, Papich MG, Lanzas C. (2020). The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data. PloS one, 15(1)

Cazer CL, Al-Mamun MA, Kaniyamattam K, Love WJ, Booth JG, Lanzas C, Gröhn YT. (2020). Identified by Association Rule Mining. Frontiers in microbiology, (11)

Stephenson B, Lanzas C, Lenhart S, Ponce E, Bintz J, Dubberke ER, Day J. (2020). Comparing intervention strategies for reducing Clostridioides difficile transmission in acute healthcare settings: an agent-based modeling study. BMC infectious diseases, 20(1)

Lanzas C, Davies K, Erwin S, Dawson D. (2020). On modelling environmentally transmitted pathogens. Interface focus, 10(1)

Lashnits EW, Dawson DE, Breitschwerdt E, Lanzas C. (2019). Exposure in Dogs Tested for Vector-Borne Diseases in North Carolina. Vector borne and zoonotic diseases (Larchmont, N.Y.), 19(8)

Cazer CL, Al-Mamun MA, Kaniyamattam K, Love WJ, Booth JG, Lanzas C, Gröhn YT. (2019). Identified by Association Rule Mining. Frontiers in microbiology, (10)

Chen S, Lanzas C, Lee C, Zenarosa GL, Arif AA, Dulin M. (2019). Metapopulation Model from Pathogen's Perspective: A Versatile Framework to Quantify Pathogen Transfer and Circulation between Environment and Hosts. Scientific reports, 9(1)

Zawack K, Love WJ, Lanzas C, Booth JG, Gröhn YT. (2019). Estimation of multidrug resistance variability in the National Antimicrobial Monitoring System. Preventive veterinary medicine, (167)

Fletcher JR, Erwin S, Lanzas C, Theriot CM. (2018). Transcriptome throughout Colonization and Infection in a Mouse Model. mSphere, 3(2)

Zawack K, Love W, Lanzas C, Booth JG, Gröhn YT. (2018). Inferring the interaction structure of resistance to antimicrobials. Preventive veterinary medicine, (152)

Dawson DE, Farthing TS, Sanderson MW, Lanzas C. (2019). Transmission on empirical dynamic contact networks is influenced by data processing decisions. Epidemics, (26)

Dawson DE, Keung JH, Napoles MG, Vella MR, Chen S, Sanderson MW, Lanzas C. (2018). Investigating behavioral drivers of seasonal Shiga-Toxigenic Escherichia Coli (STEC) patterns in grazing cattle using an agent-based model. PLoS One, 13(10)

Grohn YT, Carson C, Lanzas C, Pullum L, Stanhope M, Volkova V. (2017). A proposed analytic framework for determining the impact of an antimicrobial resistance intervention. Animal health research reviews, 18(1)

Stephenson B, Lanzas C, Lenhart S, Day J. (2017). Optimal control of vaccination rate in an epidemiological model of Clostridium difficile transmission. Journal of mathematical biology, 75(6-7)

Chen S, Lenhart S, Day JD, Lee C, Dulin M, Lanzas C. (2018). Pathogen transfer through environment-host contact: an agent-based queueing theoretic framework. Mathematical medicine and biology : a journal of the IMA, 35(3)

Lanzas C, Chen S. (2016). Mathematical Modeling Tools to Study Preharvest Food Safety. Microbiology spectrum, 4(4)

Love WJ, Zawack KA, Booth JG, Grӧhn YT, 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)

Chen S, Lanzas C. (2016). Distinction and connection between contact network, social network, and disease transmission network. Preventive veterinary medicine, (131)

Chen S, Sanderson MW, Lee C, Cernicchiaro N, Renter DG, Lanzas C. (2016). Basic Reproduction Number and Transmission Dynamics of Common Serogroups of Enterohemorrhagic Escherichia coli. Applied and environmental microbiology, 82(18)

Bintz J, Lenhart S, Lanzas C. (2016). Antimicrobial Stewardship and Environmental Decontamination for the Control of Clostridium difficile Transmission in Healthcare Settings. Bulletin of mathematical biology, 79(1)

Kwon JH, Lanzas C, Reske KA, Hink T, Seiler SM, Bommarito KM, Burnham CD, Dubberke ER. (2016). An Evaluation of Food as a Potential Source for Clostridium difficile Acquisition in Hospitalized Patients. Infection control and hospital epidemiology, 37(12)

Chen S, Ilany A, White BJ, Sanderson MW, Lanzas C. (2015). Spatial-Temporal Dynamics of High-Resolution Animal Networks: What Can We Learn from Domestic Animals?. PLoS One, 10(6)

Chen S, White BJ, Sanderson MW, Amrine DE, Ilany A, Lanzas C. (2014). Highly dynamic animal contact network and implications on disease transmission. Scientific reports, (4)

Lanzas C, Dubberke ER. (2014). Effectiveness of screening hospital admissions to detect asymptomatic carriers of Clostridium difficile: a modeling evaluation. Infection control and hospital epidemiology, 35(8)

Aguilar-Bonavides C, Sanchez-Arias R, Lanzas C. (2014). Accurate prediction of major histocompatibility complex class II epitopes by sparse representation via ℓ 1-minimization. BioData mining, (7)

Lanzas C, Chen S. (2015). Complex system modelling for veterinary epidemiology. Preventive veterinary medicine, 118(2-3)

Chen S, Sanderson MW, White BJ, Amrine DE, Lanzas C. (2013). Temporal-spatial heterogeneity in animal-environment contact: implications for the exposure and transmission of pathogens. Scientific reports, (3)

Magombedze G, Magombedze G, Ngonghala CN, Lanzas C. (2013). Evaluation [corrected] of the "Iceberg Phenomenon" in Johne's disease through mathematical modelling. PLoS One, 8(10)

Lanzas C, Lu Z, Gröhn YT. (2010). Mathematical modeling of the transmission and control of foodborne pathogens and antimicrobial resistance at preharvest. Foodborne pathogens and disease, 8(1)

Lanzas C, Ayscue P, Ivanek R, Gröhn YT. (2010). Model or meal? Farm animal populations as models for infectious diseases of humans. Nature reviews. Microbiology, 8(2)

Lanzas C, Warnick LD, James KL, Wright EM, Wiedmann M, Gröhn YT. (2010). Transmission dynamics of a multidrug-resistant Salmonella typhimurium outbreak in a dairy farm. Foodborne pathogens and disease, 7(4)

Lanzas C, Warnick LD, Ivanek R, Ayscue P, Nydam DV, Gröhn YT. (2008). The risk and control of Salmonella outbreaks in calf-raising operations: a mathematical modeling approach. Veterinary research, 39(6)

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