Description
Taylor and Francis Ltd COVID Transmission Modeling 1st Edition 2022 Hardbound by Murthy, B Narasimha
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.FeaturesAddresses 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 outbreakCovers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measuresIncludes models that can easily be followed in formulating the mathematical derivations and key pointsSupplemented with ample illustrations, images, diagrams, and figuresThis book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful. 1. Mathematical Modeling Approach to COVID-19: Vetted Real Data.2. Time Series Stochastic Projection Models for the Estimation of COVID Trend3. Study of Anxiety and Fear of COVID-194. COVID-19 Gene Sequencing Modeling5. Real-Time PCR (RT-PCR) for COVID-19 Diagnosis and Changes in Threshold Cycle (Ct) in Association with Different Parameters6. COVID-19 Vaccination Modeling Approach to Public Health Policy7. Trend of COVID-19 Surge Projection8. Risk Analysis of COVID-19-Vetted by Real Data Sets9. Data-Driven Decision Support Model for COVID-1910. Age-Specific SARS-Cov-19 Incidence Modeling11. National Health Policies and Their Perspectives on the Approach to Control COVID-19 and Other Infectious Diseases12. Statistical Ethics for Computational Biology and Medical Science