COVID Transmission Modelling
An Insight into Infectious Diseases Mechanism
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Description
COVID Transmission Modelling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of Covid-19 pandemic crisis worldwide and covers various aspects of newer modelling techniques and practical solutions for health emergencies. The book aims to formulate various innovative and pragmatic mathematical, statistical and epidemiological models on Covid 19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insight and knowledge of public health. The book contains 12 chapters - each chapter provides invaluable and exploratory tools to enable explicit assumptions and highlight key health indicators , also determine geometric progression , control measures of diseases. The present developed models will allow us to extrapolate the exact reason for the outbreak and pave the way for recent scientific information on vaccine trail, socio-economic, psychological and disease burden worldwide. These advanced techniques of modelling 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 advent of emerging health science, all models were demonstrated with real-life data sets, provided with more illustrations, eye-catching graphs and diagrams so that the readers can easily understand the concept of Covid 19 pandemic intervention, control measures and the impact.
Features
Covers all the aspects of mitigation/control measures, estimation of transmission rate, control measures, 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
All chapters cover application of innovative advanced statistical and epidemiological models and try to demonstrate possible solutions towards supportive treatment aspects of COVID 19 and their control measures
All models can easily be followed in formulating the mathematical derivations and key points
All chapters are 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.