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The updated WHO pandemic influenza severity assessment (PISA) framework set out in this document provides a systematic approach for interpreting data collected through existing surveillance systems and improving their usefulness for risk communication and decision-making. The approach enables the severity of current influenza and syndromic respiratory illness activity to be assessed relative to previous years by using historical data to set thresholds that then allow for the qualitative categorization of such activity. PISA is designed to be implemented continuously based on stable/ routine reporting systems, enabling activity during epidemic and pandemic periods to be compared. Information to assess severity especially early and throughout the course of a pandemic will also be provided through investigations, studies and modelling.
In the past several years, there have been significant technological advances in the field of crisis response. However, many aspects concerning the efficient collection and integration of geo-information, applied semantics and situation awareness for disaster management remain open. Improving crisis response systems and making them intelligent requires extensive collaboration between emergency responders, disaster managers, system designers and researchers alike. To facilitate this process, the Gi4DM (GeoInformation for Disaster Management) conferences have been held regularly since 2005. The events are coordinated by the Joint Board of Geospatial Information Societies (JB GIS) and ICSU GeoUnions. This book presents the outcomes of the Gi4DM 2018 conference, which was organised by the ISPRS-URSI Joint Working Group ICWG III/IVa: Disaster Assessment, Monitoring and Management and held in Istanbul, Turkey on 18-21 March 2018. It includes 12 scientific papers focusing on the intelligent use of geo-information, semantics and situation awareness.
This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.
The Pandemic Influenza Preparedness (PIP) Framework is a World Health Assembly resolution adopted unanimously by all Member States in 2011. It brings together Member States, industry, other stakeholders and WHO to implement a global approach to pandemic influenza preparedness and response. The Framework includes a benefit-sharing mechanism called the Partnership Contribution (PC). The PC is collected as an annual cash contribution from influenza vaccine, diagnostic, and pharmaceutical manufacturers that use the WHO Global Influenza Surveillance and Response System (GISRS). Funds are allocated for: (a) pandemic preparedness capacity building; (b) response activities during the time of an influenza pandemic; and (c) PIP Secretariat for the management and implementation of the Framework. This report presents overall success metrics and infographics to illustrate progress in PIP Framework implementation. A progress report is published four times a biennium, and covers technical and financial implementation for the PIP PC High-Level Implementation Plan II (HLIP II), as well as the PIP Secretariat. Milestones are reported every six months and indicators are reported yearly. All data are presented cumulatively from the beginning of each biennium, in this case, 1 January 2022.
Roland Benedikter and Karim Fathi describe the pluri-dimensional characteristics of the Coronavirus crisis and draw the pillars for a more “multi-resilient” Post-Corona world, including political recommendations on how to generate it.