Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics
Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2022
Produktform: Buch / Einband - fest (Hardcover)
Topics covered in this volume include infection spread in population described by an agent-based approach; the study of gene essentiality via network-based computational modeling; stochastic models of neuronal dynamics; the modeling of statistical distribution of amino acids in protein domain families. Texts in epidemic models with dynamic social distancing; with no vertical transmission; and with general incidence rates. Aspects of COVID-19 dynamics: the use of a SEIR model to analyze its spread in Brazil; the age-dependent manner of modeling its spread pattern; impact of media awareness programs. A Web-based computational tool for Non-invasive hemodynamics evaluation of coronary stenosis.
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