Governments, businesses, and individuals around the world are thinking about what happens after the COVID-19 pandemic. Can we hope to not only ward off another COVID-like disaster but also eliminate all respiratory diseases, including the flu? Bill Gates, one of our greatest and most effective thinkers and activists, believes the answer is yes. The author of the #1 New York Times best seller How to Avoid a Climate Disaster lays out clearly and convincingly what the world should have learned from COVID-19 and what all of us can do to ward off another catastrophe like it. Relying on the shared knowledge of the world’s foremost experts and on his own experience of combating fatal diseases through the Gates Foundation, Gates first helps us understand the science of infectious diseases. Then he shows us how the nations of the world, working in conjunction with one another and with the private sector, how we can prevent a new pandemic from killing millions of people and devastating the global economy. Here is a clarion call—strong, comprehensive, and of the gravest importance.

This guidance is an update of WHO global influenza preparedness plan: the role of WHO and recommendations for national measures before and during pandemics, published March 2005 (WHO/CDS/CSR/GIP/2005.5).

A Wall Street Journal and National Bestseller! The man who predicted the worst economic crisis in US history shows you how to survive it. The current crisis is not like 2008 or even 1929. The New Depression that has emerged from the COVID pandemic is the worst economic crisis in U.S. history. Most fired employees will remain redundant. Bankruptcies will be common, and banks will buckle under the weight of bad debts. Deflation, debt, and demography will wreck any chance of recovery, and social disorder will follow closely on the heels of market chaos. The happy talk from Wall Street and the White House is an illusion. The worst is yet to come. But for knowledgeable investors, all hope is not lost. In The New Great Depression, James Rickards, New York Times bestselling author of Aftermath and The New Case for Gold, pulls back the curtain to reveal the true risks to our financial system and what savvy investors can do to survive -- even prosper -- during a time of unrivaled turbulence. Drawing on historical case studies, monetary theory, and behind-the-scenes access to the halls of power, Rickards shines a clarifying light on the events taking place, so investors understand what's really happening and what they can do about it. A must-read for any fans of Rickards and for investors everywhere who want to understand how to preserve their wealth during the worst economic crisis in US history.

Religious wars, global terrorism, pandemics, and genocide have all helped to usher in the Anxiety Age. Who better to lead the way out than popular psychic Sylvia Browne? In End of Days, Browne tackles the most daunting of subjects with her trademark clarity, wisdom, and serenity, answering such difficult questions as: What's coming in the next fifty years? What do the great prophecies of Nostradamus and the Book of Revelation mean? If the world is really going to end, what will unfold in our final hours? For anyone who's ever wondered where we're headed, and what—if anything—we can do to prevent a catastrophe of biblical proportions, End of Days is a riveting and insightful must-read.

Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).

This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics.

An Observer Book of the Year A Times Science Book of the Year A New Statesman Book of the Year A Financial Times Science Book of the Year 'Astonishingly bold' Daily Mail 'It is hard to imagine a more timely book ... much of the modern world will make more sense having read it.' The Times We live in a world that's more interconnected than ever before. Our lives are shaped by outbreaks - of disease, of misinformation, even of violence - that appear, spread and fade away with bewildering speed. To understand them, we need to learn the hidden laws that govern them. From 'superspreaders' who might spark a pandemic or bring down a financial system to the social dynamics that make loneliness catch on, The Rules of Contagion offers compelling insights into human behaviour and explains how we can get better at predicting what happens next. Along the way, Adam Kucharski explores how innovations spread through friendship networks, what links computer viruses with folk stories - and why the most useful predictions aren't necessarily the ones that come true. Now revised and updated with content on Covid-19.

COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

Comprehensively presents the foundations and leading application research in medical informatics/biomedicine. The concepts and techniques are illustrated with detailed case studies. Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.