Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics

Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics

Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2022

    • ‏129٫99 US$
    • ‏129٫99 US$

وصف الناشر

This volume gathers together selected peer-reviewed works presented at the BIOMAT 2022 International Symposium, which was virtually held on November 7-11, 2022, with an organization staff based in Rio de Janeiro, Brazil.
Topics touched on in this volume include infection spread in a population described by an agent-based approach; the study of gene essentiality via network-based computational modeling; stochastic models of neuronal dynamics; and the modeling of a statistical distribution of amino acids in protein domain families. The reader will also find 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 an SEIR model to analyze its spread in Brazil; the age-dependent manner of modeling its spread pattern; the impact of media awareness programs; and a web-based computational tool for Non-invasive hemodynamics evaluation of coronary stenosis are also covered.

Held every year since 2001, The BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promoting truly international cooperation for problem discussion. BIOMAT volumes published from 2017 to 2021 are also available by Springer.

النوع
علم وطبيعة
تاريخ النشر
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٢٤ يوليو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Nature Switzerland
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Mathematical Modelling of Biosystems Mathematical Modelling of Biosystems
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Trends in Biomathematics: Modeling Health Across Ecology, Social Interactions, and Cells Trends in Biomathematics: Modeling Health Across Ecology, Social Interactions, and Cells
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Trends in Biomathematics: Exploring Epidemics, Eco-Epidemiological Systems, and Optimal Control Strategies Trends in Biomathematics: Exploring Epidemics, Eco-Epidemiological Systems, and Optimal Control Strategies
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Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models
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Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells
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Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment
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