Active Learning To Minimize The Possible Risk Of Future Epidemics

Future epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and deep structures, raises a fundamental question: how big data is big enough to effectively tackle future epidemics? In this context, active learning, often referred to as human or expert-in-the-loop learning, becomes imperative, enabling machines to commence learning from day one with minimal labeled data. In unsupervised learning, the focus shifts toward constructing advanced machine learning models like deep structured networks that autonomously learn over time, with human or expert intervention only when errors occur and for limited data—a process we term mentoring. In the context of Covid-19, this book explores the use of deep features to classify data into two clusters (0/1: Covid-19/non-Covid-19) across three distinct datasets: cough sound, Computed Tomography (CT) scan, and chest x-ray (CXR). Not to be confused, our primary objective is to provide a strong assertion on how active learning could potentially be used to predict disease from any upcoming epidemics. Upon request (education/training purpose), GitHub source codes are provided.

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).

As the culminating volume in the DCP3 series, volume 9 will provide an overview of DCP3 findings and methods, a summary of messages and substantive lessons to be taken from DCP3, and a further discussion of cross-cutting and synthesizing topics across the first eight volumes. The introductory chapters (1-3) in this volume take as their starting point the elements of the Essential Packages presented in the overview chapters of each volume. First, the chapter on intersectoral policy priorities for health includes fiscal and intersectoral policies and assembles a subset of the population policies and applies strict criteria for a low-income setting in order to propose a "highest-priority" essential package. Second, the chapter on packages of care and delivery platforms for universal health coverage (UHC) includes health sector interventions, primarily clinical and public health services, and uses the same approach to propose a highest priority package of interventions and policies that meet similar criteria, provides cost estimates, and describes a pathway to UHC.

The COVID-19 pandemic has placed extraordinary demands on leaders compelled to navigate a complex, far-reaching event that threatened human life, business continuity and survival. What can leaders learn from the crisis response to equip them for a post-pandemic world and beyond? Leadership in a Post-Pandemic World brings together cutting-edge research by authors Prof. David McGuire and Dr. Marie-Line Germain with thought-provoking evidence-based contributions from leading international researchers offering fresh insights into how leadership approaches and practices have evolved in the light of the COVID-19 pandemic. Divided into four sections, it discusses the leadership challenges and subsequent skills required to deal with the pandemic in politics, education, healthcare and business industries; emergency planning; organizational and personal resilience; the effect of dysfunctional and narcissistic leaders; lessons learned and how such lessons will shape the leadership of the future. This book is a vital resource for leaders, students of leadership, strategy and management, and anyone interested in the long-term consequences of crisis leadership on our society as a whole.

Gastronomic tourism has made remarkable progress within the past decade in both academia and within its own sector. However, many industries have suffered from the COVID-19 pandemic, and food tourism businesses had to take unique precautions for the health and safety of global consumers. Despite the economic turbulence of the COVID-19 pandemic, there are many strategies available for the restaurant industry to thrive. Gastronomy, Hospitality, and the Future of the Restaurant Industry: Post-COVID-19 Perspectives presents the most recent research surrounding food and gastronomy in relation to hospitality and tourism, highlighting emerging themes and different methods of approach. Concretely, it constitutes a timely and relevant compendium of chapters that offers its readers relevant issues in gastronomy and management strategies in the hospitality industry. Covering topics such as food tourism, organic food production, and restaurant communication, this book is an essential resource for managers, business owners, entrepreneurs, consultants, marketing specialists, government officials, libraries, researchers, academicians, educators, and students.