Exploring Susceptible Infectious Recovered Sir Model For Covid 19 Investigation

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Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation

Author : Rahul Saxena
Publisher : Springer Nature
ISBN 13 : 9811941750
Total Pages : 63 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation by : Rahul Saxena

Download or read book Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation written by Rahul Saxena and published by Springer Nature. This book was released on 2022-09-02 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The predictive modelling of the disease, with the exact facts and figures, provides a ground to reason about growing trends and its future trajectory. The book emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations. Moreover, since COVID-19 spread outburst has been twice, the intensity studies and comparative analysis of the two waves of COVID-19 are another interesting feature of the book content. The book is a knowledge base for various researchers and academicians to dive into the detailing of the COVID spread (mathematical) model and understand how it could be explored to draw outcomes. To represent the factual information and analytical results effectively, graphical and diagrammatic representations have been appended at appropriate places. To keep the explanation simple and yet concrete, mathematical concepts have also been introduced; to carry out analysis to generate results for understanding the viral dynamics.

Applied Mathematical Ecology

Author : Simon A. Levin
Publisher : Springer Science & Business Media
ISBN 13 : 3642613179
Total Pages : 498 pages
Book Rating : 4.6/5 (426 download)

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Book Synopsis Applied Mathematical Ecology by : Simon A. Levin

Download or read book Applied Mathematical Ecology written by Simon A. Levin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Autumn Course on Mathematical Ecology was held at the Intern ational Centre for Theoretical Physics in Trieste, Italy in November and December of 1986. During the four year period that had elapsed since the First Autumn Course on Mathematical Ecology, sufficient progress had been made in applied mathemat ical ecology to merit tilting the balance maintained between theoretical aspects and applications in the 1982 Course toward applications. The course format, while similar to that of the first Autumn Course on Mathematical Ecology, consequently focused upon applications of mathematical ecology. Current areas of application are almost as diverse as the spectrum covered by ecology. The topiys of this book reflect this diversity and were chosen because of perceived interest and utility to developing countries. Topical lectures began with foundational material mostly derived from Math ematical Ecology: An Introduction (a compilation of the lectures of the 1982 course published by Springer-Verlag in this series, Volume 17) and, when possible, progressed to the frontiers of research. In addition to the course lectures, workshops were arranged for small groups to supplement and enhance the learning experience. Other perspectives were provided through presentations by course participants and speakers at the associated Research Conference. Many of the research papers are in a companion volume, Mathematical Ecology: Proceedings Trieste 1986, published by World Scientific Press in 1988. This book is structured primarily by application area. Part II provides an introduction to mathematical and statistical applications in resource management.

Analysis of the SIR Model on a Network of Nodes

Author : Isabelle Stepler
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (138 download)

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Book Synopsis Analysis of the SIR Model on a Network of Nodes by : Isabelle Stepler

Download or read book Analysis of the SIR Model on a Network of Nodes written by Isabelle Stepler and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Susceptible-Infected-Recovered model, or SIR model, was one of the first infectious disease models created. Since its first application, it has been modified in many different ways to more accurately model infectious diseases in different situations. This paper explores the standard SIR model, the standard SIR model without lifetime immunity, and the multi-node SIR model in order to investigate the effectiveness and the differences between each model. We analyze the convergence of each model as time approaches infinity, simulate the two-node model to confirm that multi-node SIR models can reproduce multiple infection peaks, and discuss parameter estimation to discover when SIR models, especially on multiple nodes, can be fit to data and then used for prediction. Due to these investigations, we conclude that multi-node SIR models are a great option for modeling complicated, real-world disease situations because of their inherent flexibility and ability to reproduce more varied infection dynamics. For ideal parameter estimation, multi-node SIR models should only have a few nodes and use data points as spaced out in time as possible, allowing prediction to be more accurate.

Mathematical Epidemiology

Author : Fred Brauer
Publisher : Springer Science & Business Media
ISBN 13 : 3540789103
Total Pages : 415 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Mathematical Epidemiology by : Fred Brauer

Download or read book Mathematical Epidemiology written by Fred Brauer and published by Springer Science & Business Media. This book was released on 2008-04-30 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).

Global COVID-19 Research and Modeling

Author : Longbing Cao
Publisher : Springer Nature
ISBN 13 : 9819999154
Total Pages : 409 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Global COVID-19 Research and Modeling by : Longbing Cao

Download or read book Global COVID-19 Research and Modeling written by Longbing Cao and published by Springer Nature. This book was released on with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Mathematical Epidemiology

Author : Maia Martcheva
Publisher : Springer
ISBN 13 : 1489976124
Total Pages : 462 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis An Introduction to Mathematical Epidemiology by : Maia Martcheva

Download or read book An Introduction to Mathematical Epidemiology written by Maia Martcheva and published by Springer. This book was released on 2015-10-20 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models.

The physical environment and health: Implications for the planning and management of healthy cities

Author : Linchuan Yang
Publisher : Frontiers Media SA
ISBN 13 : 2832529704
Total Pages : 1001 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis The physical environment and health: Implications for the planning and management of healthy cities by : Linchuan Yang

Download or read book The physical environment and health: Implications for the planning and management of healthy cities written by Linchuan Yang and published by Frontiers Media SA. This book was released on 2023-08-30 with total page 1001 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Modeling and Data Analysis in COVID-19 Research

Author : Chhabi Rani Panigrahi
Publisher : CRC Press
ISBN 13 : 1000384977
Total Pages : 271 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Computational Modeling and Data Analysis in COVID-19 Research by : Chhabi Rani Panigrahi

Download or read book Computational Modeling and Data Analysis in COVID-19 Research written by Chhabi Rani Panigrahi and published by CRC Press. This book was released on 2021-05-09 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

Modeling of COVID-19 and Other Infectious Diseases: Mathematical, Statistical and Biophysical Analysis of Spread Patterns

Author : Omar El Deeb
Publisher : Frontiers Media SA
ISBN 13 : 283252138X
Total Pages : 116 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Modeling of COVID-19 and Other Infectious Diseases: Mathematical, Statistical and Biophysical Analysis of Spread Patterns by : Omar El Deeb

Download or read book Modeling of COVID-19 and Other Infectious Diseases: Mathematical, Statistical and Biophysical Analysis of Spread Patterns written by Omar El Deeb and published by Frontiers Media SA. This book was released on 2023-04-24 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advancements in Climate and Smart Environment Technology

Author : Mabrouki, Jamal
Publisher : IGI Global
ISBN 13 :
Total Pages : 309 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Advancements in Climate and Smart Environment Technology by : Mabrouki, Jamal

Download or read book Advancements in Climate and Smart Environment Technology written by Mabrouki, Jamal and published by IGI Global. This book was released on 2024-05-06 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world faces escalating environmental and healthcare challenges, from climate change to managing natural resources and providing efficient medical services. These issues are complex, often requiring intricate modeling and intervention from domain experts. Traditional analytical methods need help to cope with the complexity and scale of these challenges, leading to inefficiencies and suboptimal outcomes. There is a pressing need for innovative solutions that can enhance our ability to address these issues effectively. Advancements in Climate and Smart Environment Technology present a compelling solution to these pressing problems. By leveraging the power of artificial intelligence (AI) techniques, we offer a path toward more efficient and effective solutions in environmental engineering, healthcare management, and natural resource conservation. AI provides the tools to model complex systems, optimize processes, and make informed decisions without constant expert intervention, thus revolutionizing these fields. This book is a comprehensive guide for scholars, researchers, and practitioners in various fields related to environmental and healthcare sciences. It explores the applications of AI in areas such as innovative environments, sustainable agriculture, climate change mitigation, and healthcare delivery.

Modeling Infectious Diseases in Humans and Animals

Author : Matt J. Keeling
Publisher : Princeton University Press
ISBN 13 : 1400841038
Total Pages : 385 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Modeling Infectious Diseases in Humans and Animals by : Matt J. Keeling

Download or read book Modeling Infectious Diseases in Humans and Animals written by Matt J. Keeling and published by Princeton University Press. This book was released on 2011-09-19 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. This book provides a timely and comprehensive introduction to the modeling of infectious diseases in humans and animals, focusing on recent developments as well as more traditional approaches. Matt Keeling and Pejman Rohani move from modeling with simple differential equations to more recent, complex models, where spatial structure, seasonal "forcing," or stochasticity influence the dynamics, and where computer simulation needs to be used to generate theory. In each of the eight chapters, they deal with a specific modeling approach or set of techniques designed to capture a particular biological factor. They illustrate the methodology used with examples from recent research literature on human and infectious disease modeling, showing how such techniques can be used in practice. Diseases considered include BSE, foot-and-mouth, HIV, measles, rubella, smallpox, and West Nile virus, among others. Particular attention is given throughout the book to the development of practical models, useful both as predictive tools and as a means to understand fundamental epidemiological processes. To emphasize this approach, the last chapter is dedicated to modeling and understanding the control of diseases through vaccination, quarantine, or culling. Comprehensive, practical introduction to infectious disease modeling Builds from simple to complex predictive models Models and methodology fully supported by examples drawn from research literature Practical models aid students' understanding of fundamental epidemiological processes For many of the models presented, the authors provide accompanying programs written in Java, C, Fortran, and MATLAB In-depth treatment of role of modeling in understanding disease control

Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications

Author : Thoralf Reis
Publisher : Springer Nature
ISBN 13 : 303068007X
Total Pages : 213 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications by : Thoralf Reis

Download or read book Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications written by Thoralf Reis and published by Springer Nature. This book was released on 2021-02-02 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020. The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design.

Data-Centric Business and Applications

Author : Peter Štarchoň
Publisher : Springer Nature
ISBN 13 : 3031591313
Total Pages : 446 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Data-Centric Business and Applications by : Peter Štarchoň

Download or read book Data-Centric Business and Applications written by Peter Štarchoň and published by Springer Nature. This book was released on with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact

Author : Praveen Agarwal
Publisher : Springer Nature
ISBN 13 : 981162450X
Total Pages : 635 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact by : Praveen Agarwal

Download or read book Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact written by Praveen Agarwal and published by Springer Nature. This book was released on 2021 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is a collection of selected research articles discussing the analysis of infectious diseases by using mathematical modelling in recent times. Divided into two parts, the book gives a general and country-wise analysis of Covid-19. Analytical and numerical techniques for virus models are presented along with the application of mathematical modelling in the analysis of their spreading rates and treatments. The book also includes applications of fractional differential equations as well as ordinary, partial and integrodifferential equations with optimization methods. Probability distribution and their bio-mathematical applications have also been studied. This book is a valuable resource for researchers, scholars, biomathematicians and medical experts.

MSEA 2023

Author : Gaikar Vilas
Publisher : European Alliance for Innovation
ISBN 13 : 1631904159
Total Pages : 859 pages
Book Rating : 4.6/5 (319 download)

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Book Synopsis MSEA 2023 by : Gaikar Vilas

Download or read book MSEA 2023 written by Gaikar Vilas and published by European Alliance for Innovation. This book was released on 2023-07-21 with total page 859 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2nd International Conference on Mathematical Statistics and Economic Analysis (MSEA 2023) was held virtually from 26-28 May 2023 in Nanjing, China. The conference was attended by researchers, teachers, students and engineers in the field of mathematical statistics and economic analysis. Through data statistics and analysis, we can quickly understand the pattern of economic development. This conference combines mathematical statistics and economic analysis, explores the relationship between the two, and provides a platform for experts and scholars in the fields of mathematical statistics and economic analysis to discuss related issues and exchange ideas. Therefore, we hope to create a forum for sharing research results and exploring future research directions, so that participants can learn about the latest research directions, contents and results of mathematical statistics and economic analysis; secondly, we hope that the conference can provide solutions to the major problems facing mathematical statistics and economic analysis, and create a space that encourages discussion and joint development of research, technological development and innovation.

Mathematical Models in Epidemiology

Author : Fred Brauer
Publisher : Springer Nature
ISBN 13 : 1493998285
Total Pages : 628 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Mathematical Models in Epidemiology by : Fred Brauer

Download or read book Mathematical Models in Epidemiology written by Fred Brauer and published by Springer Nature. This book was released on 2019-10-10 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted diseases, (ii) a detailed analysis of models for important specific diseases, including tuberculosis, HIV/AIDS, influenza, Ebola virus disease, malaria, dengue fever and the Zika virus, (iii) an introduction to more advanced mathematical topics, including age structure, spatial structure, and mobility, and (iv) some challenges and opportunities for the future. There are exercises of varying degrees of difficulty, and projects leading to new research directions. For the benefit of public health professionals whose contact with mathematics may not be recent, there is an appendix covering the necessary mathematical background. There are indications which sections require a strong mathematical background so that the book can be useful for both mathematical modelers and public health professionals.

Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities

Author : Tetyana Chumachenko
Publisher : Frontiers Media SA
ISBN 13 : 2832553931
Total Pages : 309 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities by : Tetyana Chumachenko

Download or read book Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities written by Tetyana Chumachenko and published by Frontiers Media SA. This book was released on 2024-09-02 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has shown promise as an effective tool in disaster preparedness and response, providing a unique perspective on some of the most urgent health challenges. Rapid advances in AI technology can potentially revolutionize the way how we respond to emergencies and disasters that affect the world's health, including early warning systems, resource allocation, and real-time decision-making. This Research Topic aims to explore the latest developments in AI and its applications in global health and disaster response, providing a comprehensive overview of the potential and challenges of AI in improving health outcomes in crises. This Research Topic will bring together leading researchers, practitioners, and policymakers in global health and disaster response to share their experiences and insights on how AI can be leveraged to improve response efforts and enhance healthcare delivery.