The definitive story of COVID-19 and how global politics shape our health - from a world-leading expert and the pandemic's go-to science communicator

Professor Devi Sridhar has risen to prominence for her vital roles in communicating science to the public and speaking truth to power. In Preventable she highlights lessons learned from outbreaks past and present in a narrative that traces the COVID-19 pandemic - including her personal experience as a scientist - and sets out a vision for how we can better protect ourselves from the inevitable health crises to come.

In gripping and heartfelt prose, Sridhar exposes the varied realities of those affected and puts you in the room with key decision makers at crucial moments. She vibrantly conveys the twists and turns of a plot that saw: deadlier varients emerge (contrary to the predictions of social media pundits who argued it would mutate to a milder form); countries with weak health systems like Senegal and Vietnam fare better than countries like the US and UK (which were consistently ranked as the most prepared); and the quickest development of game-changing vaccines in history (and their unfair distribution)

Combining science, politics, ethics and economics, this definitive book dissects the global structures that determine our fate, and reveals the deep-seated economic and social inequalities at their heart - it will challenge, outrage and inspire.

Health research has made spectacular strides over the past few decades. The value of health research is obvious and irrefutable. What is not so apparent is that people who participate in research may be harmed during the process. Africa prides itself in having some of the most respected universities globally. It is a continent of immense research potential. At the same time, Africa suffers from many of the health burdens of low-income regions. While it affords many research opportunities, this creates the potential for the misuse of power on vulnerable individuals and populations.

This book explores why participants in health research require protection. It also explains how ethical principles and the law can assist inter alia research ethics committees, researchers, funders and institutions at which research is conducted, to safeguard the rights and dignity of individuals contributing to the research enterprise. It engages with this imbalance and examines how well-intentioned aims of ethical health research can be achieved while simultaneously maximising the protection of research participants. It draws on local and international documents and expertise to inform the resolution of many ethical dilemmas and complexities that inevitably arise in health research.

Health Research Ethics: Safeguarding the Interests of Research Participants provides a solid understanding of the normative values for protecting research participants against exploitation, harm and wrong. Since research ethics is multidisciplinary, this book will be of value to a range of professionals and academics inter alia those from the health sciences, social sciences, and legal disciplines.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. Providing a comprehensive overview of the current and future uses of Artificial Intelligence (AI) in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizations Key Features: Advises healthcare executives on how to effectively leverage AI to advance their strategies and plans and support digital transformation Discusses AI governance, change management, workforce management and the organization of AI experimentation and implementation Analyzes AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operations Provides risk mitigation approaches to address potential AI algorithm problems, liability and regulation Essential reading for policymakers, clinical executives and consultants in healthcare, this Advanced Introduction explores how to successfully integrate AI into healthcare organizations and will also prove invaluable to students and scholars interested in technological innovations in healthcare.