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Miranda Teboh-Ewungkem (Lehigh University, Mathematics)

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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)

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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)

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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

Cristina Lanzas (North Carolina State University, Veterinary Medicine)

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Modelling environmentally transmitted pathogens Many pathogens are able to replicate or survive in abiotic environments. Disease transmission models that include environmental reservoirs and environment-to-host transmission have used a variety of functional forms and modelling frameworks without a clear connection to pathogen ecology or space and time scales. We present a conceptual framework to organize microparasites

Jonathan Dushoff (McMaster University, Biology)

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Transmission intervals and COVID control The spread of epidemics is structured by delay distributions, including the now-famous "serial interval" between the symptom-onset times of an infector and an infectee (often conflated with the "generation interval" between infection times). Defining these time distributions clearly, and describing how they relate to each other, and to key parameters

Benjamin Roche (Research Institute for Development (IRD), France, Disease Ecology)

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Vector-borne diseases spread and control: The case of Chikungunya in French overseas territories and consequences for dissemination in mainland territory Dengue, chikungunya and Zika viruses have expanded their geographic range during recent decades and are now considered emerging threats in temperate areas. In particular autochthonous transmissions of chikungunya virus (CHIKV) have regularly been observed in

Erin Mordecai (Stanford University, Biology)

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Nonlinear impacts of climate change on dengue transmission Dengue is a re-emerging mosquito-borne disease that infects hundreds of millions each year—a burden that is expected to increase with climate change. However, the precise relationship between dengue transmission and changing temperature is nuanced: previous research has shown that warmer temperatures can increase, decrease, or not affect