Mathematical Modeling And Intelligent Control For Combating Pandemics

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Mathematical Modeling and Intelligent Control for Combating Pandemics

Author : Zakia Hammouch
Publisher : Springer Nature
ISBN 13 : 3031331834
Total Pages : 278 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Mathematical Modeling and Intelligent Control for Combating Pandemics by : Zakia Hammouch

Download or read book Mathematical Modeling and Intelligent Control for Combating Pandemics written by Zakia Hammouch and published by Springer Nature. This book was released on 2023-09-11 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in this carefully curated volume, present cutting-edge research in applied mathematical modeling for combating COVID-19 and other potential pandemics. Mathematical modeling and intelligent control have emerged as powerful computational models and have shown significant success in combating any pandemic. These models can be used to understand how COVID-19 or other pandemics can spread, analyze data on the incidence of infectious diseases, and predict possible future scenarios concerning pandemics. This book also discusses new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 and other pandemics based on intelligent control systems that assist decision-makers, managers, professionals, and researchers. Much of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling and intelligent control for combating the Monkeypox virus and Langya Henipavirus.

Researches and Applications of Artificial Intelligence to Mitigate Pandemics

Author : Kauser Hameed
Publisher : Academic Press
ISBN 13 : 032389996X
Total Pages : 183 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Researches and Applications of Artificial Intelligence to Mitigate Pandemics by : Kauser Hameed

Download or read book Researches and Applications of Artificial Intelligence to Mitigate Pandemics written by Kauser Hameed and published by Academic Press. This book was released on 2021-04-27 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage. Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety

Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases

Author : Esteban A. Hernandez-Vargas
Publisher : Elsevier
ISBN 13 : 0323950655
Total Pages : 352 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases by : Esteban A. Hernandez-Vargas

Download or read book Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases written by Esteban A. Hernandez-Vargas and published by Elsevier. This book was released on 2023-03-21 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases: Lessons Learned from COVID-19 includes new research, models and simulations developed during the COVID-19 pandemic into how mathematical methods and practice can impact future response. Chapters go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modeling other emergent pandemic diseases. A major part of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling in ecology, economics and epidemiology. Readers will benefit from learning how to apply advanced mathematical modeling to a variety of topics of practical interest, including optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants. Provides a comprehensive overview of the state-of-the-art in mathematical modeling and computational simulations for emerging pandemics Presents modeling techniques that go beyond COVID-19, and that can be applied to tailoring interventions to attenuate high death tolls Includes illustrations, tables and dialog boxes to explain highly specialized concepts and insights with complex algorithms, along with links to programming code

Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control

Author : Hui-Jia Li
Publisher : Frontiers Media SA
ISBN 13 : 2889713865
Total Pages : 308 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control by : Hui-Jia Li

Download or read book Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control written by Hui-Jia Li and published by Frontiers Media SA. This book was released on 2021-09-27 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical Modeling in the Age of the Pandemic

Author : William P. Fox
Publisher : CRC Press
ISBN 13 : 1000395022
Total Pages : 174 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Mathematical Modeling in the Age of the Pandemic by : William P. Fox

Download or read book Mathematical Modeling in the Age of the Pandemic written by William P. Fox and published by CRC Press. This book was released on 2021-06-09 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: One cannot watch or read about the news these days without hearing about the models for COVID-19 or the testing that must occur to approve vaccines or treatments for the disease. The purpose of Mathematical Modeling in the Age of a Pandemic is to shed some light on the meaning and interpretations of many of the types of models that are or might be used in the presentation of analysis. Understanding the concepts presented is essential in the entire modeling process of a pandemic. From the virus itself and its infectious rates and deaths rates to explain the process for testing a vaccine or eventually a cure, the author builds, presents, and shows model testing. This book is an attempt, based on available data, to add some validity to the models developed and used, showing how close to reality the models are to predicting "results" from previous pandemics such as the Spanish flu in 1918 and more recently the Hong Kong flu. Then the author applies those same models to Italy, New York City, and the United States as a whole. Modeling is a process. It is essential to understand that there are many assumptions that go into the modeling of each type of model. The assumptions influence the interpretation of the results. Regardless of the modeling approach the results generally indicate approximately the same results. This book reveals how these interesting results are obtained.

Mathematics of Public Health

Author : V. Kumar Murty
Publisher : Springer Nature
ISBN 13 : 3030850536
Total Pages : 349 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Mathematics of Public Health by : V. Kumar Murty

Download or read book Mathematics of Public Health written by V. Kumar Murty and published by Springer Nature. This book was released on 2022-02-08 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research. This work brings together experts in mathematical modelling from across Canada and the world, presenting the latest modelling methods as they relate to the COVID-19 pandemic. A primary aim of this book is to make the content accessible so that researchers share the core methods that may be applied elsewhere. The mathematical theories and technologies in this book can be used to support decision makers on critical issues such as projecting outbreak trajectories, evaluating public health interventions for infection prevention and control, developing optimal strategies to return to a new normal, and designing vaccine candidates and informing mass immunization program. Topical coverage includes: basic susceptible-exposed-infectious-recovered (SEIR) modelling framework modified and applied to COVID-19 disease transmission dynamics; nearcasting and forecasting for needs of critical medical resources including personal protective equipment (PPE); predicting COVID-19 mortality; evaluating effectiveness of convalescent plasma treatment and the logistic implementation challenges; estimating impact of delays in contact tracing; quantifying heterogeneity in contact mixing and its evaluation with social distancing; modelling point of care diagnostics of COVID-19; and understanding non-reporting and underestimation. Further, readers will have the opportunity to learn about current modelling methodologies and technologies for emerging infectious disease outbreaks, pandemic mitigation rapid response, and the mathematics behind them. The volume will help the general audience and experts to better understand the important role that mathematics has been playing during this on-going crisis in supporting critical decision-making by governments and public health agencies.

Quality of Work-Life During Pandemic

Author : Gitanjali Rahul Shinde
Publisher : Springer Nature
ISBN 13 : 9811675236
Total Pages : 127 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Quality of Work-Life During Pandemic by : Gitanjali Rahul Shinde

Download or read book Quality of Work-Life During Pandemic written by Gitanjali Rahul Shinde and published by Springer Nature. This book was released on 2021-11-22 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.

Intelligent Computing Applications for COVID-19

Author : Tanzila Saba
Publisher : CRC Press
ISBN 13 : 1000423638
Total Pages : 338 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Computing Applications for COVID-19 by : Tanzila Saba

Download or read book Intelligent Computing Applications for COVID-19 written by Tanzila Saba and published by CRC Press. This book was released on 2021-09-08 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public.

Mathematical Analysis for Transmission of COVID-19

Author : Nita H. Shah
Publisher : Springer Nature
ISBN 13 : 9813362642
Total Pages : 366 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Mathematical Analysis for Transmission of COVID-19 by : Nita H. Shah

Download or read book Mathematical Analysis for Transmission of COVID-19 written by Nita H. Shah and published by Springer Nature. This book was released on 2021-04-01 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic.

COVID-19 Pandemic Dynamics

Author : Igor Nesteruk
Publisher : Springer Nature
ISBN 13 : 9813364165
Total Pages : 172 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis COVID-19 Pandemic Dynamics by : Igor Nesteruk

Download or read book COVID-19 Pandemic Dynamics written by Igor Nesteruk and published by Springer Nature. This book was released on 2021-02-10 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics.

Computational Intelligence for COVID-19 and Future Pandemics

Author : Utku Kose
Publisher : Springer Nature
ISBN 13 : 9811637830
Total Pages : 435 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Intelligence for COVID-19 and Future Pandemics by : Utku Kose

Download or read book Computational Intelligence for COVID-19 and Future Pandemics written by Utku Kose and published by Springer Nature. This book was released on 2022-01-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.

Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic

Author : Sarah Marie Treibert
Publisher : Springer Nature
ISBN 13 : 3658359323
Total Pages : 260 pages
Book Rating : 4.6/5 (583 download)

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Book Synopsis Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic by : Sarah Marie Treibert

Download or read book Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic written by Sarah Marie Treibert and published by Springer Nature. This book was released on 2021-12-11 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other.

Controlling Epidemics with Mathematical and Machine Learning Models

Author : Abraham Varghese
Publisher : Engineering Science Reference
ISBN 13 : 9781799883456
Total Pages : 0 pages
Book Rating : 4.8/5 (834 download)

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Book Synopsis Controlling Epidemics with Mathematical and Machine Learning Models by : Abraham Varghese

Download or read book Controlling Epidemics with Mathematical and Machine Learning Models written by Abraham Varghese and published by Engineering Science Reference. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The objective of this book is to make mathematical models for epidemical diseases, especially Covid-19, focusing on quarantine, isolation and vaccine effect for the control of the disease and providing simulation of the model to be done with the help of python/matlab"--

Mathematical Analysis of Infectious Diseases

Author : Praveen Agarwal
Publisher : Academic Press
ISBN 13 : 0323904580
Total Pages : 346 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Mathematical Analysis of Infectious Diseases by : Praveen Agarwal

Download or read book Mathematical Analysis of Infectious Diseases written by Praveen Agarwal and published by Academic Press. This book was released on 2022-06-01 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Analysis of Infectious Diseases updates on the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis is important, not only to understand disease progression, but also to provide predictions about the evolution of disease. One of the main focuses of the book is the transmission dynamics of the infectious diseases like COVID-19 and the intervention strategies. It also discusses optimal control strategies like vaccination and plasma transfusion and their potential effectiveness on infections using compartmental and mathematical models in epidemiology like SI, SIR, SICA, and SEIR. The book also covers topics like: biodynamic hypothesis and its application for the mathematical modeling of biological growth and the analysis of infectious diseases, mathematical modeling and analysis of diagnosis rate effects and prediction of viruses, data-driven graphical analysis of epidemic trends, dynamic simulation and scenario analysis of the spread of diseases, and the systematic review of the mathematical modeling of infectious disease like coronaviruses. Offers analytical and numerical techniques for virus models Discusses mathematical modeling and its applications in treating infectious diseases or analyzing their spreading rates Covers the application of differential equations for analyzing disease problems Examines probability distribution and bio-mathematical applications

Intelligent Systems and Methods to Combat Covid-19

Author : Amit Joshi
Publisher : Springer Nature
ISBN 13 : 9811565724
Total Pages : 91 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Intelligent Systems and Methods to Combat Covid-19 by : Amit Joshi

Download or read book Intelligent Systems and Methods to Combat Covid-19 written by Amit Joshi and published by Springer Nature. This book was released on 2020-08-26 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

Leveraging Artificial Intelligence in Global Epidemics

Author : Le Gruenwald
Publisher : Academic Press
ISBN 13 : 032390002X
Total Pages : 320 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Leveraging Artificial Intelligence in Global Epidemics by : Le Gruenwald

Download or read book Leveraging Artificial Intelligence in Global Epidemics written by Le Gruenwald and published by Academic Press. This book was released on 2021-07-28 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing

Advanced AI and Internet of Health Things for Combating Pandemics

Author : Mohamed Lahby
Publisher : Springer Nature
ISBN 13 : 3031286316
Total Pages : 397 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advanced AI and Internet of Health Things for Combating Pandemics by : Mohamed Lahby

Download or read book Advanced AI and Internet of Health Things for Combating Pandemics written by Mohamed Lahby and published by Springer Nature. This book was released on 2023-07-24 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research, theoretical methods, and novel applications in the field of Health 5.0. The authors focus on combating COVID-19 or other pandemics through facilitating various technological services. The authors discuss new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 or other pandemic based on machine intelligence models and communication technologies. The aim of the coverage is to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence and Internet of Medical Things (IoMT). This book emphasizes the need to analyze all the information through studies and research carried out in the field of computational intelligence, communication networks, and presents the best solutions to combat COVID and other pandemics.