COVID Transmission Modeling
Chapman & Hall/CRC (Verlag)
978-1-032-06970-8 (ISBN)
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.
Basavarajaiah D M is an Associate Professor and Head of Department of Statistics and Computer Science, Karnataka Veterinary Animal and Fisheries Sciences University (B), Hebbal, Bangalore. He obtained his Ph.D from the National Institute of Epidemiology (NIE), ICMR, Chennai; (affiliated with the University of Madras). His research focuses on Statistical Theory, Statistical modeling on high-dimensional data sets in Agriculture, Medicine, Veterinary and Animal Sciences. He has written hundreds of research articles and published seven academic books in various national journals and Springer nature group (HIV transmission Statistical modeling and Design of Experiments and advanced statistical techniques in Clinical research). He is serving as an Editorial Board Member and Scientific Board advisor of various International indexed journals. He is also an Academic editor of Plos One, TJPRC,Science Publication, a Life Member of numerous academic organizations and has received several accolades for his academic and research Excellence (Chartered Scientist award stalwart by Science Council, the United Kingdom in Collaboration with Royal Statistical Society, International Scientist award honored by VDGOOD organization, Best Reviewer award-2016 ‘TRANSSTELLAR’Journal Publications and Research Consultancy,TJPRCLtd., (NAAS rated Journals), Bharathshikshratana and Indo-Dubai Achiever’s Pacific award honored by Global Society of health and educational growth new Delhi, Best reviewer -2015, Best Scientific Board advisor- 2016 and Best editorial and researcher award bestowed by International Academy of Engineering Science and Technology, USA). He is a Fellow of Royal Statistical Society, UK (London) & Mathematical Society, UK (London). He is an active member of the Board of Studies and Academic Council of various Universities. B Narasimha Murthy is a well -known academician and researcher, former Scientist ‘G’ (Director Grade cadre), National Institute of Epidemiology of ICMR, Chennai. Presently, he is a National Level Monitor, National Health Mission, MOH&FW, Government of India. He has obtained his Ph.D from International Institute of Population Science (IIPS), affiliated by Bombay University (1985). His area of research heeds Mathematical Statistics, Operational research, Clinical research, Public health, Demography and Vital Statistics, Mathematical modeling with respect to Medical Science and Public health. He has penned more than 100 research articles published in the reputed National and International Journals two books published in Springer Nature. He is Serving as an editorial Board Member and Scientific Board advisor of various International indexed MCI and UGC recognized Journals. He is also an Academic editor of Plos OneJournals, Science Publication, and a Life Member of various academic organizations. He has been honored with several accolades for his academic and research excellence viz.,Prof. R. N. Srivastava Gold medal award, ‘Bharat Jyothi Award’, ‘Best Citizens of India etc. He served as a member of the Board of Studies of various National Universities (University of Madras, AcharyaNagarjunaUniversity &the University of Kerala). He is a visiting emeritus Professor of Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, North Carolina University, USA etc. Reviewer of National and International Journals.
1. Mathematical Modeling Approach to COVID-19: Vetted Real Data.
2. Time Series Stochastic Projection Models for the Estimation of COVID Trend
3. Study of Anxiety and Fear of COVID-19
4. COVID-19 Gene Sequencing Modeling
5. Real-Time PCR (RT-PCR) for COVID-19 Diagnosis and Changes in Threshold Cycle (Ct) in Association with Different Parameters
6. COVID-19 Vaccination Modeling Approach to Public Health Policy
7. Trend of COVID-19 Surge Projection
8. Risk Analysis of COVID-19—Vetted by Real Data Sets
9. Data-Driven Decision Support Model for COVID-19
10. Age-Specific SARS-Cov-19 Incidence Modeling
11. National Health Policies and Their Perspectives on the Approach to Control COVID-19 and Other Infectious Diseases
12. Statistical Ethics for Computational Biology and Medical Science
| Erscheinungsdatum | 13.06.2022 |
|---|---|
| Zusatzinfo | 103 Tables, black and white; 142 Line drawings, black and white; 29 Halftones, black and white; 171 Illustrations, black and white |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 1760 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| ISBN-10 | 1-032-06970-8 / 1032069708 |
| ISBN-13 | 978-1-032-06970-8 / 9781032069708 |
| Zustand | Neuware |
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