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Math Dept Colloquium: Chris Bauch (University of Waterloo, Applied Mathematics)

339 Little Hall (The Atrium)

Modelling interactions between disease dynamics and human social dynamics The interplay between disease dynamics and vaccinating behaviour driven by social processes has been receiving increasing attention from mathematical modellers, due to vaccine refusal and other behavioural phenomena. Vaccine scares could become more common as eradication goals are approached for more vaccine-preventable diseases, on account of

Rhonda Bacher (UF Biostatistics)

368 Little Hall

Trendy: Segmented regression analysis of gene expression dynamics High-throughput expression profiling experiments with ordered conditions (e.g. time-course or spatial-course) are becoming more common for studying detailed differentiation processes or spatial patterns. Identifying dynamic changes at both the individual gene and whole transcriptome level can provide important insights about genes, pathways, and critical time points.

Jason Cory Brunson (UF Laboratory for Systems Medicine)

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Network Analyses of Murine Glomeruli Kidneys filter blood through capillary bundles called glomeruli. Improved understanding of glomerular topological and spatial structure may inform our understanding of its development and function. We devised a new imaging approach to 12 murine glomeruli, using automated microtome tape to collect .5-micron serial sections and scanning electron microscopy to image

Chayu Yang (UF Mathematics)

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Basic reproduction numbers for a class of reaction-diffusion epidemic models We study the basic reproduction numbers for a class of reaction-diffusion epidemic models that are developed from autonomous ODE systems. A general numerical framework is applied to compute such basic reproduction numbers; meanwhile, the numerical formulation provides useful insight into their characterizations. Using matrix analysis,

Churni Gupta (UF Mathematics)

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A Network Immuno-epidemiological Model of HIV and Opioid Epidemics Severe Substance Abuse Disorder (commonly known as Addiction), and HIV individually claim many lives all over the world every year. But the spread of HIV is often due to intravenous drug usage, and drug usage by HIV positive people often lower their immunity and effectiveness of

Shasha Gao (UF Mathematics)

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A dynamic model to assess human papillomavirus vaccination strategies in a heterosexual population combined with men who have sex with men Vaccination is effective in preventing human papillomavirus (HPV) infection. Who should be vaccinated and what's the best vaccine distribution strategy need more investigation. In this paper, we use a dynamic model to assess HPV

Math Dept Colloquium: Reinhard Laubenbacher (UF Laboratory for Systems Medicine)

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Mathematics and the Life Sciences The close connection between mathematics and the physical sciences during the past century has been of great benefit to both. New mathematics has been inspired by problems in physics, while physics benefited from the theoretical power of mathematics in fundamental ways. The relationship between mathematics and the life sciences has

Michael Cortez (Florida State University, Biological Science)

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How does interspecific host competition alter the amplification and dilution of disease? For pathogens that infect multiple host species, the loss or addition of one host species in a community can affect levels of disease in other host species. Using a 2-host, 1-pathogen epidemiological model, I explore how competition for resources between host species alters

Cristina Korb (UF Mathematics)

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Wolbachia establishment and invasion in Aedes Aegypti population to suppress Zika transmission Arboviral diseases such as dengue and Zika are diseases that pose a threat to health problems globally. Traditional control methods against mosquito populations that transmit arboviral diseases should be complemented by longer lasting and larger scale methods such as the use of an

Luis Sordo Vieira (UF Laboratory for Systems Medicine)

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Mathematics as a tool for data integration Recent advances in technology has led to the acquisition of multimodal biological data measuring biological phenomena at various spatiotemporal scales. In this talk, we will discuss how mathematical modeling can be used as a tool for data integration using use cases from respiratory infections, cancer biology, and psychiatry.