COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism

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  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 figures
This book is aimed at  postgraduate students studying medicine and healthcare, mathematics, and  statistical information. Researchers will also find this book very  helpful.