A Pandemic Forecasting Framework An Application Of Risk Analysis
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A Pandemic Forecasting Framework: An Application of Risk Analysis
Author: Allan Dizioli
language: en
Publisher: International Monetary Fund
Release Date: 2021-08-27
This paper introduces a simple, frequently and easily updated, close to the data epidemiological model that has been used for near-term forecast and policy analysis. We provide several practical examples of how the model has been used. We explain the epidemic development in the UK, the USA and Brazil through the model lens. Moreover, we show how our model would have predicted that a super infectious variant, such as the delta, would spread and argue that current vaccination levels in many countries are not enough to curb other waves of infections in the future. Finally, we briefly discuss the importance of how to model re-infections in epidemiological models.
Pandemic Influenza Preparedness and Response
Author: World Health Organization
language: en
Publisher: World Health Organization
Release Date: 2009
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).
Security and Risk Analysis for Intelligent Cloud Computing
This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access. This book: • Covers topics such as AI, Blockchain, and ML/DL in cloud security. • Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats. • Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models. • Examines security delivered as a service—a different facet of cloud security.