Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact PDF full book. Access full book title Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact by Praveen Agarwal. Download full books in PDF and EPUB format.
Author: Praveen Agarwal Publisher: Springer Nature ISBN: 981162450X Category : COVID-19 (Disease) Languages : en Pages : 635
Book Description
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.
Author: Praveen Agarwal Publisher: Springer Nature ISBN: 981162450X Category : COVID-19 (Disease) Languages : en Pages : 635
Book Description
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.
Author: Praveen Agarwal Publisher: Academic Press ISBN: 0323904580 Category : Science Languages : en Pages : 346
Book Description
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
Author: Lyle D. Broemeling Publisher: CRC Press ISBN: 1000336476 Category : Mathematics Languages : en Pages : 216
Book Description
Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics. Features: Represents the first book on infectious disease from a Bayesian perspective. Employs WinBUGS and R to generate observations that follow the course of contagious maladies. Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919. Compares standard non-Bayesian and Bayesian inferences. Offers a companion website with the R and WinBUGS code.
Author: DM Basavarajaiah Publisher: CRC Press ISBN: 1000593215 Category : Mathematics Languages : en Pages : 458
Book Description
COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of the COVID-19 pandemic crisis and covers various aspects of newer modeling techniques and practical solutions for health emergencies. This book aims to formulate various innovative and pragmatic mathematical, statistical, and epidemiological models using COVID-19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insights and knowledge of public health. Each of the book’s 12 chapters provides invaluable and exploratory tools to enable explicit assumptions, highlights key health indicators, and determines the geometric progression and control measures of the disease. The present developed models will allow readers to extrapolate the exact reason for the outbreak and pave the way for scientific information on vaccine trials and socioeconomic, psychological, and disease burden worldwide. These advanced techniques of modeling and their applications are in greater need than ever for effective connection between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policymakers for making appropriate decisions at the right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions and their control measures, and their impact. Features Addresses all aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID-19, herd immunity, and various methods, including newer mathematical, statistical, and epidemiological models in the analysis of COVID-19 pandemic outbreak Covers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measures Includes models that can easily be followed in formulating the mathematical derivations and key points Supplemented with ample illustrations, images, diagrams, and figures This book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful.
Author: Sukhyun Ryu Publisher: Frontiers Media SA ISBN: 2832548954 Category : Medical Languages : en Pages : 137
Book Description
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have had a global impact, leading to a set of public health and social measures (PHSMs). These measures—such as hand hygiene, mask wearing, and social distancing—have affected people’s behavior and thus led to change in the transmission of infectious diseases. Studies of the impact of the opportunistic implementation of PHSMs on infectious diseases including respiratory virus infections during the Coronavirus Disease 2019 (COVID-19) pandemic have been reported. For example, seasonal influenza epidemics, sexual transmitted infections, and pediatric infectious diseases decreased significantly during the COVID-19 pandemic.
Author: Robert J Sherertz Publisher: World Scientific ISBN: 9811264597 Category : Science Languages : en Pages : 548
Book Description
COVID Chaos is a book about the 2019 SARS-CoV-2 Pandemic that was written real time, spanning the time from March 31, 2020 through December 31, 2021, by two Emeritus Professors of Infectious Diseases (Adult - RJS, Pediatrics - JSA). RJS's and JSA's careers began with the HIV pandemic, involved collaboration with the 2009 Influenza pandemic, and now are finishing up with the Coronavirus pandemic. The authors have broad experience with outbreaks, from the local level (RJS had career long responsibilities for controlling outbreaks at medical school hospitals and worked taking care of COVID-19 patients during the pandemic), all the way up to the pandemic level (JSA wrote a book about the 2009 Influenza pandemic and has worked with the WHO for the past 10 years.The aim of the book is to give the reader some insight into the global impact of the SARS-CoV-2 outbreak during the first two years, from multiple perspectives (patient, healthcare provider, global citizen, public health, economic, geopolitical). An attempt was also made to understand how SARS-CoV-2 caused disease, both its pathogenesis at the individual patient level, and globally, as to how it was so successful at causing a pandemic and how it compares with other organisms capable of causing outbreaks, epidemics and pandemics. It is written to be of interest to anyone who likes to read and wants to know more about what happened during the COVID-19 pandemic and why.COVID Chaos was written by two infectious disease physicians, who each have over 35 years of experience caring for patients with a large variety of infectious diseases. Additionally, both did research in understanding the pathogenesis of infectious diseases, and collectively have many years of experience handling outbreaks at the local level, have been involved with guideline documents making recommendations for reducing infections at the national level, and have global experience managing international infectious diseases.The book begins with three first person accounts from physicians involved in COVID-19 care during the early pandemic, when it was overwhelming hospitals.It then tracks its course from Wuhan, China, to other parts of the world, while comparing and contrasting public health interventions, both at the hospital and local community level, all the way up to country level.The book attempts to understand the broad spectrum of COVID-19 disease, both clinically and pathophysiologically, as well as its global collateral damage. It explores in depth SARS-CoV-2 vaccine development, testing and the geopolitical problems with vaccine deployment, and attempts to understand the origin of SARS-CoV-2 and its place in the pantheon of other organisms causing pandemics.The book concludes with some late breaking pandemic events at the end of 2021 (Omicron variant, etc.) and a global photo essay about the pandemic.
Author: William C. Cockerham Publisher: Routledge ISBN: 1000332608 Category : Social Science Languages : en Pages : 251
Book Description
This reader offers some of the most important writing to date from the science of COVID-19 and what science says about its spread and social implications. The readings have been carefully selected, introduced, and interpreted for an introductory or graduate student readership by a distinguished medical sociology and political science team. While some of the early science was inaccurate, lacking sufficient data, or otherwise incomplete, the author team has selected the most important and reliable early work for teachers and students in courses on medical sociology, public health, nursing, infectious diseases, epidemiology, anthropology of medicine, sociology of health and illness, social aspects of medicine, comparative health systems, health policy and management, health behaviors, and community health. Global in scope, the book tells the story of what happened and how COVID-19 was dealt with. Much of this material is in clinical journals, normally not considered in the social sciences, which are nonetheless informative and authoritative for student and faculty readers. Their selection and interpretation for students makes this concise reader an essential teaching source about COVID-19. An accompanying online resource on the book’s Routledge web page will update and evolve by providing links to new readings as the science develops.
Author: D. M. Basavarajaiah Publisher: Chapman & Hall/CRC ISBN: 9781003204794 Category : Mathematics Languages : en Pages : 364
Book Description
COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of the COVID-19 pandemic crisis and covers various aspects of newer modeling techniques and practical solutions for health emergencies. This book aims to formulate various innovative and pragmatic mathematical, statistical, and epidemiological models using COVID-19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insights and knowledge of public health. Each of the book's 12 chapters provides invaluable and exploratory tools to enable explicit assumptions, highlights key health indicators, and determines the geometric progression and control measures of the disease. The present developed models will allow readers to extrapolate the exact reason for the outbreak and pave the way for scientific information on vaccine trials and socioeconomic, psychological, and disease burden worldwide. These advanced techniques of modeling and their applications are in greater need than ever for effective connection between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policymakers for making appropriate decisions at the right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions and their control measures, and their impact. Features Addresses all aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID-19, herd immunity, and various methods, including newer mathematical, statistical, and epidemiological models in the analysis of COVID-19 pandemic outbreak Covers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measures Includes models that can easily be followed in formulating the mathematical derivations and key points Supplemented with ample illustrations, images, diagrams, and figures This book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful.
Author: Prema-chandra Athukorala Publisher: Cambridge University Press ISBN: 1009336045 Category : Business & Economics Languages : en Pages : 77
Book Description
The pandemic of 1918–20-commonly known as the Spanish flu-infected over a quarter of the world's population and killed over fifty million people. It is by far the greatest humanitarian disaster caused by an infectious disease in modern history. Epidemiologists and health scientists often draw on this experience to set the plausible upper bound (the 'worst case scenario') on future pandemic mortality. The purpose of this study is to piece together and analyse the scattered multi-disciplinary literature on the pandemic in order to place debates on the evolving course of the current COVID-19 crisis in historical perspective. The analysis focuses on the changing characteristics of pathogens and disease over time, the institutional factors that shaped the global spread, the demographic and socio-economic consequences, and pharmaceutical and non-pharmaceutical responses to the pandemic. This title is also available as Open Access on Cambridge Core.
Author: Praveen Agarwal
Author: Praveen Agarwal
Author: Praveen Agarwal
Author: Lyle D. Broemeling
Author: DM Basavarajaiah
Author: Longbing Cao
Author: Sukhyun Ryu 
Author: Robert J Sherertz
Author: William C. Cockerham
Author: D. M. Basavarajaiah
Author: Prema-chandra Athukorala