How To Prevent The Next Pandemic Summary
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How to Prevent the Next Pandemic
The COVID-19 pandemic isn't over, but even as governments around the world strive to put it behind us, they're also starting to talk about what happens next. How can we prevent a new pandemic from killing millions of people and devastating the global economy? Can we even hope to accomplish this? Bill Gates believes the answer is yes, and in this book he 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 disaster 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, he first makes us understand the science of corona diseases. Then he helps us understand how the nations of the world, working in conjunction with one another and with the private sector, can not only ward off another COVID-like catastrophe but also go far to eliminate all respiratory diseases, including the flu. Here is a clarion call - strong, comprehensive, and of the gravest importance - from one of our greatest and most effective thinkers and activists.
Modernizing Global Health Security to Prevent, Detect, and Respond
Modernizing Global Health Security to Prevent, Detect, and Respond explores—through thoughtful, thorough, and diverse scientific review and analyses—factors that have led to recent public health emergencies and offers a vision for a better protected global environment. The authors consider the history of global health security, governance, and legal structures with an eye toward novel approaches for the present and future. The book presents a vision for a more protected and safer global public health future (with the actions needed to achieve it) to prevent, detect, and respond to (re)emerging threats. Its aim is to chart a way forward with the understanding that future pandemics must and can be prevented. Major topics examined from a public health perspective include global health security; the growing concept of One Health; epidemic and pandemic prevention, detection, and response; reviews of past (e.g., Ebola, MERS-CoV, Zika, and COVID-19) public health emergencies of international concern; roles of information and communication technology; humanmade public health threats; and legal and ethical issues (e.g., viral sovereignty, trust, and transparency). Modernizing Global Health Security to Prevent, Detect, and Respond provides the academic substance and quality for researchers and practitioners to deeply understand the why of health emergencies, and most importantly—what we can and should do now to prepare. - Highlights (re)emerging past and future threats to public health (e.g., climate change, antibiotic resistance, failures of societal sectors to work together) - Discusses new visions for global health security in each chapter - Considers how to leverage technological innovations to advance public health - Includes practical examples through case studies from around the world
Leveraging Artificial Intelligence in Global Epidemics
Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. - Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies - Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data - Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing