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.
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