Details

Autor(en) / Beteiligte

• Basavarajaiah, DM
• Murthy, B Narasimha

Titel

COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism

Auflage

1

Ort / Verlag

Milton: CRC Press

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of COVID-19 pandemic crisis worldwide 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. This book contains 12 chapters. Each chapter provides invaluable and exploratory tools to enable explicit assumptions, highlight key health indicators, and also determine the geometric progression and control measures of the disease. The present developed models will allow us 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/association between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policy makers for taking appropriate decisions at right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with more illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions, control measures, and the impact. Features Covers all the aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID, 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 tries to demonstrate 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 Is supplemented with ample number of illustrations, images, diagrams, and figures. This book is aimed at postgraduate students in medical, mathematics, and statistical information. Researchers will also find this book helpful.