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Yang Yang (UF Biostatistics)

Zoom

Statistical Adjustment for Reporting Bias in Surveillance Data of Infectious Diseases Reporting bias is common in the surveillance of infectious diseases and takes different forms. A typical example is that outbreaks are investigated only if the number of cases exceeds a prespecified threshold. Another example is that most outbreak investigations only survey cases, ignoring individuals

Southeast Center for Mathematics and Biology 4th Annual Symposium

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Join us for a lively exploration of the math-bio interface The Symposium will host daily panel discussion about important issues in math-bio research and traineeship. How can we productively embed ourselves in a second discipline? What paths have led to successful math-bio careers in academia? In industry? Support the next generation of math-bio researchers Following

Hayriye Gulbudak (University of Louisiana at Lafayette, Mathematics)

Zoom

Modeling across-scale feedbacks of infectious diseases A current challenge for disease modeling and public health is to understand pathogen dynamics across infection scales from within-host to between-host. Viral and immune response kinetics upon infection impact transmission to other hosts and feedback into population-wide immunity, all of which influence the severity, trajectory, and evolution of a

Hemaho B. Taboe (University of Abomey-Calavi, Benin, Biostatistics)

Zoom

Quantifying the effects of vaccines and a booster vaccine dose on the dynamics of COVID-19 in the United States The coronavirus disease 2019 (COVID-19) pandemic continues to have a devastating impact on health systems and economies across the globe, with the USA among the worse impacted nations. Implementing public health measures in tandem with effective

Miranda Teboh-Ewungkem (Lehigh University, Mathematics)

Zoom

Using Mathematics to Unravel Mosquito Behavioral Dynamics that Capacitates Malaria Parasite Success in a Human-Mosquito Built Environment Many bottlenecks can hamper a successful malaria parasite transmission from one human to another. For example, a successful transmission of the parasite from humans to mosquitoes and back to humans requires that a susceptible feeding female mosquito successfully

Shasha Gao (UF Mathematics)

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The impact of vaccination on human papillomavirus infection with disassortative geographical mixing Human papillomavirus (HPV) infection can spread between regions. What is the impact of disassortative geographical mixing on the dynamics of HPV transmission? Vaccination is effective in preventing HPV infection. How to allocate HPV vaccines between genders within each region and between regions to

Julie A. Spencer (Los Alamos National Lab)

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What is Influenza-Like Illness? Influenza-like illness (ILI) is a not a single disease, but is a large group of pathogens grouped together because they have similar symptoms. In the United States, ILI affects an estimated 9-49 million people every year. The CDC defines the presence ILI as a fever of at least 100 degrees Fahrenheit,

Zhilan Feng (Purdue University, Mathematics and NSF DMS Program Director)

Zoom

Mathematical models of infectious diseases -- Consequences of underlying assumptions Mathematical models have been used to study various disease transmission dynamics and control for epidemics. Many of these studies are based on SEIR- types of compartmental models with exponentially distributed stage durations. We examine the underlying assumptions made in some of these models and present

Alun Lloyd (North Carolina State University, Mathematics)

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Stochasticity and Heterogeneity in the Aedes aegypti/Dengue Transmission System: Implications for Spread and Control of Infection The Aedes aegypti mosquito is the vector for several infections of public health concern, including dengue, chikungunya, Zika and yellow fever. The mosquito lives in close proximity to humans, typically only disperses over short distances and its population density

Tony Jhwueng (Feng-Chia University, Taiwan, Statistics)

Zoom

Modeling rate of adaptive trait evolution using Cox–Ingersoll–Ross process: An Approximate Bayesian Computation approach Abstract: Over the past decades, the Gaussian process has been widely used to study trait evolution. In particular, two members of Gaussian processes, Brownian motion and the Ornstein-Uhlenbeck process, have been frequently applied for describing continuous trait evolution. Models have been