Delve 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.
Zhaobin 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.
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