Modeling, Control and Drug Development for COVID-19 Outbreak Prevention

Modeling, Control and Drug Development for COVID-19 Outbreak Prevention
Author: Ahmad Taher Azar
Publisher: Springer Nature
Total Pages: 1115
Release: 2021-11-01
Genre: Computers
ISBN: 303072834X
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This book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19. This is an open access book.

Coronavirus Drug Discovery

Coronavirus Drug Discovery
Author: Chukwuebuka Egbuna
Publisher: Elsevier
Total Pages: 390
Release: 2022-05-25
Genre: Science
ISBN: 0323851789
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Coronavirus Drug Discovery, Volume 1: SARS-CoV-2 (COVID-19) Prevention, Diagnosis, and Treatment is the first of three volumes presenting comprehensive information on drug discovery against COVID-19. This volume provides background information on the genesis of COVID-19, the epidemiology, transmission, pathogenesis, and mutagenesis. It also presents the various treatment options, drug discovery opportunities and vaccine developmental processes. Written by global team of experts from key institutions across the globe, this book is recommended to all concerned agencies, private research firms, and consortiums working on finding a solution to COVID-19 and its variants. By design, this book will be useful to drug developers, medicinal chemists, pharmacologists, health experts, researchers, students and faculty members in industry and academia. Presents information on the genesis of COVID-19, global impact and collaborative efforts Details the epidemiology, transmission, pathogenesis, and mutagenesis of SARS-CoV-2 Documents the various treatment options and vaccine development for COVID-19

Omics Approaches and Technologies in COVID-19

Omics Approaches and Technologies in COVID-19
Author: Debmalya Barh
Publisher: Academic Press
Total Pages: 464
Release: 2022-12-01
Genre: Medical
ISBN: 0323986218
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The COVID-19 pandemic has affected the entire world in an unprecedented way since 2019. However, novel and innovative applications of various omics, computational, and smart technologies have helped manage the pandemic of the 21st century in a very effective manner. Omics approaches and technologies in COVID-19 presents up-to-date knowledge on omics, genetic engineering, mathematical and computational approaches, and advanced technologies in the diagnosis, prevention, monitoring, and management of COVID-19. This book contains 26 chapters written by academic and industry experts from more than 15 countries. Split into three sections (Omics; Artificial Intelligence and Bioinformatics; and Smart and Emerging Technologies), it brings an overview of novel technologies under omics such as, genomic, metagenomic, pangenomic, metabolomics and proteomics in COVID-19. In addition, it discusses hostpathogen interactions and interactomics, management options, application of genetic engineering, mathematical modeling andsimulations, systems biology, and bioinformatics approaches in COVID-19 drug discovery and vaccine development. This is a valuable resource for students, biotechnologists, bioinformaticians, virologists, clinicians, and pharmaceutical, biomedical, and healthcare industry people who want to understand the promising omics and other technologies used in combating COVID-19 from various aspects. Provides novel technologies for rapid diagnostics, drug discovery, vaccine development, monitoring, prediction of future waves, etc. Describes various omics applications including genomics, metagenomics, epigenomics, nutrigenomics, transcriptomics,miRNAomics, proteomics, metabolomics, phenomics, multiomics, etc., in COVID-19 Presents applications of genetic engineering, CRISPR, artificial intelligence, mathematical and in silico modeling, systems biology,and other computational approaches in COVID-19 Discusses emerging, digital, and smart technologies for the monitoring and management of COVID-19

Computational Epidemiology

Computational Epidemiology
Author: Ellen Kuhl
Publisher: Springer Nature
Total Pages: 312
Release: 2021-09-22
Genre: Technology & Engineering
ISBN: 3030828905
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This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

COVID-19 Pandemic

COVID-19 Pandemic
Author: Mamata Mohapatra
Publisher: Springer Nature
Total Pages: 212
Release: 2022-01-06
Genre: Technology & Engineering
ISBN: 9811643725
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This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection and discusses developments in the field of nanoparticle/inorganic/organic materials development for antiviral application, therapeutic applications, PPE kit formulations and inclusion of simulated data. The contents focus on measures to keep the infections in check, materials aspects for detection and monitoring, AI modeling for prediction of spread of the virus, among others. This book will be a useful reference for researchers, scientists and policy makers alike.

COVID Transmission Modeling

COVID Transmission Modeling
Author: DM Basavarajaiah
Publisher: CRC Press
Total Pages: 458
Release: 2022-06-28
Genre: Mathematics
ISBN: 1000593215
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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.

Coronavirus Therapeutics – Volume II

Coronavirus Therapeutics – Volume II
Author: Alexzander A. A. Asea
Publisher: Springer Nature
Total Pages: 242
Release: 2022-02-08
Genre: Medical
ISBN: 3030851133
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The book Coronavirus Therapeutics Volume II provides the most comprehensive review on contemporary knowledge on the consequences during the outbreak of Coronavirus. This also describes the clinical features, diagnostic evaluation and management of Coronavirus patients. Using an integrative approach to the understanding of paradigm gap in host-pathogen interaction studies to the management of Coronavirus patients in the Intensive Care Unit to the current challenges for the effective management of Coronavirus pandemic risk factors including diabetes, hypertension, obesity and repercussion on the central and peripheral nervous system. Key basic and clinical research laboratories from major universities, academic medical hospitals, biotechnology and pharmaceutical laboratories around the world have contributed articles that review present research activity on the role of heat shock proteins in human diseases and importantly project the field into the future. The book is a must read for graduate students. medical students, basic science researchers and postdoctoral scholars in the fields of Cancer Biology, Oncology, Cardiovascular Diseases, Microbiology, Inflammation, Translational Medicine, Clinical Research, Biotechnology, Cell & Molecular Medicine, Pharmaceutical Scientists and Researchers involved in Drug Discovery.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
Author: Khalid Raza
Publisher: Springer
Total Pages: 436
Release: 2020-10-17
Genre: Technology & Engineering
ISBN: 9789811585333
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The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Evidence-Based Practice for Public Health Emergency Preparedness and Response

Evidence-Based Practice for Public Health Emergency Preparedness and Response
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 501
Release: 2020-11-28
Genre: Medical
ISBN: 0309670381
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When communities face complex public health emergencies, state local, tribal, and territorial public health agencies must make difficult decisions regarding how to effectively respond. The public health emergency preparedness and response (PHEPR) system, with its multifaceted mission to prevent, protect against, quickly respond to, and recover from public health emergencies, is inherently complex and encompasses policies, organizations, and programs. Since the events of September 11, 2001, the United States has invested billions of dollars and immeasurable amounts of human capital to develop and enhance public health emergency preparedness and infrastructure to respond to a wide range of public health threats, including infectious diseases, natural disasters, and chemical, biological, radiological, and nuclear events. Despite the investments in research and the growing body of empirical literature on a range of preparedness and response capabilities and functions, there has been no national-level, comprehensive review and grading of evidence for public health emergency preparedness and response practices comparable to those utilized in medicine and other public health fields. Evidence-Based Practice for Public Health Emergency Preparedness and Response reviews the state of the evidence on PHEPR practices and the improvements necessary to move the field forward and to strengthen the PHEPR system. This publication evaluates PHEPR evidence to understand the balance of benefits and harms of PHEPR practices, with a focus on four main areas of PHEPR: engagement with and training of community-based partners to improve the outcomes of at-risk populations after public health emergencies; activation of a public health emergency operations center; communication of public health alerts and guidance to technical audiences during a public health emergency; and implementation of quarantine to reduce the spread of contagious illness.

Biomedical Innovations to Combat COVID-19

Biomedical Innovations to Combat COVID-19
Author: Sergio Rosales-Mendoza
Publisher: Academic Press
Total Pages: 411
Release: 2021-10-15
Genre: Medical
ISBN: 0323902499
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Biomedical Innovations to Combat COVID-19 provides an updated overview on the development of vaccines, antiviral drugs and nanomaterials, and diagnostic methods for the fight against COVID-19. Perspectives on such technologies are identified, discussed, and enriched with figures for easy understanding and applicability. Furthermore, it contains basic aspects of virology, immunology, and antiviral drugs that are needed to fully appreciate these innovations. This book is split into four sections: introduction, presenting basic virologic and epidemiological aspects of COVID-19; vaccines against COVID-19, discussing their different types and applications used to develop them; diagnostic approaches for SARS-CoV-2, encompassing advanced sensing and microfluidic-based biosensors; and drug development and delivery, where antivirals based on nanomaterials or drugs are presented. It is a valuable source for virologists, biotechnologists, and members of biomedical field interested in learning more about how novel technologies can be applied to fasten the eradication of the COVID-19 and similar pandemics. Presents updated literature coverage summarizing the most relevant information on COVID-19 Written by experts from diverse scientific domains in order to provide readers with a thorough view on the subject Encompasses tables, figures and information trees especially developed for the book in order to condense and highlight key points for quick reference