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This book will explore and formulate new mathematical/statistical and epidemiological modelling based on the research findings. It covers all the aspects of mitigation, estimation of transmission rate, control measures, economic impact assessment, genetic complexity of COVID and herd immunity.
This book will explore and formulate new mathematical/statistical and epidemiological modelling based on the research findings. It covers all the aspects of mitigation, estimation of transmission rate, control measures, economic impact assessment, genetic complexity of COVID and herd immunity.
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Autorenporträt
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.
Inhaltsangabe
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
