Mathematical Modeling Simulations And Ai For Emergent Pandemic Diseases

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Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases

Esteban A. Hernandez-Vargas,Jorge X. Velasco-Hernandez
Mathematical Modeling Simulations and AI for Emergent Pandemic Diseases Book PDF

Author : Esteban A. Hernandez-Vargas,Jorge X. Velasco-Hernandez
Publisher : Elsevier
Page : 352 pages
File Size : 51,7 Mb
Release : 2023-03-21
Category : Computers
ISBN : 9780323950657

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Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases by Esteban A. Hernandez-Vargas,Jorge X. Velasco-Hernandez Pdf

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

Researches and Applications of Artificial Intelligence to Mitigate Pandemics

Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
Researches and Applications of Artificial Intelligence to Mitigate Pandemics Book PDF

Author : Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
Publisher : Academic Press
Page : 183 pages
File Size : 45,9 Mb
Release : 2021-04-27
Category : Technology & Engineering
ISBN : 9780323899963

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Researches and Applications of Artificial Intelligence to Mitigate Pandemics by Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed Pdf

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

Mathematics of Public Health

Jummy David,Jianhong Wu
Mathematics of Public Health Book PDF

Author : Jummy David,Jianhong Wu
Publisher : Springer Nature
Page : 324 pages
File Size : 43,9 Mb
Release : 2023-12-30
Category : Mathematics
ISBN : 9783031408052

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Mathematics of Public Health by Jummy David,Jianhong Wu Pdf

This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques. These methodologies are important for training and research in communicable diseases and can be applied to other threats to human health. The contributions contained in this collection/book cover a range of modelling techniques that have been and may be used to support decision-making on critical health related issues such as: Resource allocation Impact of climate change on communicable diseases Interaction of human behaviour change, and disease spread Disease outbreak trajectories projection Public health interventions evaluation Preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks Development of vaccines and decisions around vaccine allocation and optimization The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases. This volume was compiled from the weekly seminar series organized by the Mathematics for Public Health (MfPH) Next Generation Network. This network brings together the next generation of modellers from across Canada and the world, developing the latest mathematical models, modeling methodologies, and analytical and simulation tools for communicable diseases of global public health concerns. The weekly seminar series provides a unique forum for this network and their invited guest speakers to share their perspectives on the status and future directions of mathematics of public health.

COVID-19 Pandemic Dynamics

Igor Nesteruk
COVID 19 Pandemic Dynamics Book PDF

Author : Igor Nesteruk
Publisher : Springer Nature
Page : 172 pages
File Size : 55,8 Mb
Release : 2021-02-10
Category : Science
ISBN : 9789813364165

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COVID-19 Pandemic Dynamics by Igor Nesteruk Pdf

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.

Disease Modelling and Public Health

Anonim
Disease Modelling and Public Health Book PDF

Author : Anonim
Publisher : Elsevier
Page : 500 pages
File Size : 49,8 Mb
Release : 2017-10-23
Category : Mathematics
ISBN : 9780444639691

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Disease Modelling and Public Health by Anonim Pdf

Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology. As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy. Presents a comprehensive, two-part volume written by leading subject experts Provides a unique breadth and depth of content coverage Addresses the most cutting-edge developments in the field Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output

Mathematical Modeling and Intelligent Control for Combating Pandemics

Zakia Hammouch,Mohamed Lahby,Dumitru Baleanu
Mathematical Modeling and Intelligent Control for Combating Pandemics Book PDF

Author : Zakia Hammouch,Mohamed Lahby,Dumitru Baleanu
Publisher : Springer Nature
Page : 278 pages
File Size : 42,8 Mb
Release : 2023-09-11
Category : Science
ISBN : 9783031331831

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Mathematical Modeling and Intelligent Control for Combating Pandemics by Zakia Hammouch,Mohamed Lahby,Dumitru Baleanu Pdf

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.

Modeling and Dynamics of Infectious Diseases

Zhien Ma,Yicang Zhou,Jianhong Wu
Modeling and Dynamics of Infectious Diseases Book PDF

Author : Zhien Ma,Yicang Zhou,Jianhong Wu
Publisher : World Scientific
Page : 355 pages
File Size : 53,5 Mb
Release : 2009
Category : Medical
ISBN : 9789814261258

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Modeling and Dynamics of Infectious Diseases by Zhien Ma,Yicang Zhou,Jianhong Wu Pdf

This book provides a systematic introduction to the fundamental methods and techniques and the frontiers of ? along with many new ideas and results on ? infectious disease modeling, parameter estimation and transmission dynamics. It provides complementary approaches, from deterministic to statistical to network modeling; and it seeks viewpoints of the same issues from different angles, from mathematical modeling to statistical analysis to computer simulations and finally to concrete applications.

An Introduction to Mathematical Modeling of Infectious Diseases

Michael Y. Li
An Introduction to Mathematical Modeling of Infectious Diseases Book PDF

Author : Michael Y. Li
Publisher : Springer
Page : 156 pages
File Size : 41,9 Mb
Release : 2018-01-30
Category : Mathematics
ISBN : 9783319721224

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An Introduction to Mathematical Modeling of Infectious Diseases by Michael Y. Li Pdf

This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies. The book includes mathematical descriptions of epidemiological concepts, and uses classic epidemic models to introduce different mathematical methods in model analysis. Matlab codes are also included for numerical implementations. It is primarily written for upper undergraduate and beginning graduate students in mathematical sciences who have an interest in mathematical modeling of infectious diseases. Although written in a rigorous mathematical manner, the style is not unfriendly to non-mathematicians.

Mathematics of Public Health

V. Kumar Murty,Jianhong Wu
Mathematics of Public Health Book PDF

Author : V. Kumar Murty,Jianhong Wu
Publisher : Springer Nature
Page : 349 pages
File Size : 55,6 Mb
Release : 2022-02-08
Category : Mathematics
ISBN : 9783030850531

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Mathematics of Public Health by V. Kumar Murty,Jianhong Wu Pdf

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.

Mathematical Models in Epidemiology

Fred Brauer,Carlos Castillo-Chavez,Zhilan Feng
Mathematical Models in Epidemiology Book PDF

Author : Fred Brauer,Carlos Castillo-Chavez,Zhilan Feng
Publisher : Springer Nature
Page : 628 pages
File Size : 50,9 Mb
Release : 2019-10-10
Category : Mathematics
ISBN : 9781493998289

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Mathematical Models in Epidemiology by Fred Brauer,Carlos Castillo-Chavez,Zhilan Feng Pdf

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.

Mathematical Analysis of Infectious Diseases

Praveen Agarwal,Juan J. Nieto,Delfim F.M. Torres
Mathematical Analysis of Infectious Diseases Book PDF

Author : Praveen Agarwal,Juan J. Nieto,Delfim F.M. Torres
Publisher : Academic Press
Page : 346 pages
File Size : 44,9 Mb
Release : 2022-06-01
Category : Science
ISBN : 9780323904582

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Mathematical Analysis of Infectious Diseases by Praveen Agarwal,Juan J. Nieto,Delfim F.M. Torres Pdf

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

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

Praveen Agarwal,Juan J. Nieto,Michael Ruzhansky,Delfim F. M. Torres
Analysis of Infectious Disease Problems Covid 19 and Their Global Impact Book PDF

Author : Praveen Agarwal,Juan J. Nieto,Michael Ruzhansky,Delfim F. M. Torres
Publisher : Springer Nature
Page : 635 pages
File Size : 48,6 Mb
Release : 2021
Category : COVID-19 (Disease)
ISBN : 9789811624506

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Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact by Praveen Agarwal,Juan J. Nieto,Michael Ruzhansky,Delfim F. M. Torres Pdf

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.

Mathematical Modelling and Analysis of Infectious Diseases

Khalid Hattaf,Hemen Dutta
Mathematical Modelling and Analysis of Infectious Diseases Book PDF

Author : Khalid Hattaf,Hemen Dutta
Publisher : Springer Nature
Page : 348 pages
File Size : 49,5 Mb
Release : 2020-07-30
Category : Technology & Engineering
ISBN : 9783030498962

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Mathematical Modelling and Analysis of Infectious Diseases by Khalid Hattaf,Hemen Dutta Pdf

This book discusses significant research and study topics related to mathematical modelling and analysis of infectious diseases. It includes several models and modelling approaches with different aims, such as identifying and analysing causes of occurrence and re-occurrence, causes of spreading, treatments and control strategies. A valuable resource for researchers, students, educators, scientists, professionals and practitioners interested in gaining insights into various aspects of infectious diseases using mathematical modelling and mathematical analysis, the book will also appeal to general readers wanting to understand the dynamics of various diseases and related issues. Key Features Mathematical models that describe population prevalence or incidence of infectious diseases Mathematical tools and techniques to analyse data on the incidence of infectious diseases Early detection and risk estimate models of infectious diseases Mathematical models that describe the transmission of infectious diseases and analyse data Dynamical analysis and control strategies for infectious diseases Studies comparing the utility of particular models in describing infected diseases-related issues such as social, health and economic

Controlling Epidemics With Mathematical and Machine Learning Models

Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon
Controlling Epidemics With Mathematical and Machine Learning Models Book PDF

Author : Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon
Publisher : IGI Global
Page : 278 pages
File Size : 47,9 Mb
Release : 2022-10-21
Category : Medical
ISBN : 9781799883449

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Controlling Epidemics With Mathematical and Machine Learning Models by Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon Pdf

Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.

COVID-19: Prediction, Decision-Making, and its Impacts

K.C. Santosh,Amit Joshi
COVID 19 Prediction Decision Making and its Impacts Book PDF

Author : K.C. Santosh,Amit Joshi
Publisher : Springer Nature
Page : 137 pages
File Size : 52,7 Mb
Release : 2020-12-11
Category : Technology & Engineering
ISBN : 9789811596827

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COVID-19: Prediction, Decision-Making, and its Impacts by K.C. Santosh,Amit Joshi Pdf

The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.