|
![]() |
|||
|
||||
OverviewDelve into the intricate world of infectious diseases and viral dynamics in 'When Corona Meets Darwin: Exploring the Science Behind COVID-19.' From debunking misconceptions about herd immunity to unraveling the mysterious disappearance of SARS, this book takes readers on a compelling journey through the complexities of pandemics. Explore the inner workings of the human immune system, the evolution of viruses like SARS-CoV-2, and the challenges in developing vaccines for global health threats. With insightful discussions on the impact of viral heterogeneity and the consequences of China's dynamic-zero policies, 'When Corona Meets Darwin: Exploring the Science Behind COVID-19' offers a thought-provoking exploration of the science behind infectious diseases and the strategies for combating them. This groundbreaking book reconstructs a new theoretical framework in computational immunology in an accessible and innovative manner. This book is an essential read for anyone seeking a deeper understanding of the current and future landscape of global health. Full Product DetailsAuthor: Zhaobin Xu , Dongqing WeiPublisher: Cambridge Scholars Publishing Imprint: Cambridge Scholars Publishing Edition: Unabridged edition ISBN: 9781036405311ISBN 10: 1036405311 Pages: 212 Publication Date: 05 June 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationZhaobin Xu is a life science professor at Dezhou University, China. He earned his PhD in systems biology from Villanova University, Pennsylvania, USA in 2015. With postdoctoral experience in computer enzyme design at Tsinghua University, China, he delves into virus research using bioinformatics and mathematical modeling, focusing on SARS-CoV-2 interactions with hosts. His Markov chain model accurately forecasts COVID-19 trends and evaluates government policies. Xu's innovative virus theories explain coronavirus prevalence variations, RNA virus evolution, and defective virus infections while proposing insights into adaptive immunity dynamics.Dongqing Wei, a Fellow of the Royal Society of Chemistry and distinguished bioinformatics professor at Shanghai Jiao Tong University, has authored over 550 papers. His groundbreaking work in bioinformatics/AI drug design and molecular simulation spans chemical, physical, and biological systems. Notable achievements include discovering ferroelectric nematic liquid crystals, pioneering ab initio MD simulation of explosion, and developing the anti-aging drug candidate WGX-50. With 12,000+ SCI citations, an H factor of 62, and extensive conference engagements, Wei is a leading figure in interdisciplinary sciences and computational life sciences. Tab Content 6Author Website:Countries AvailableAll regions |