03717nam a22005655i 4500 978-3-031-40474-0 DE-He213 20251030110812.0 cr nn 008mamaa 230825s2024 sz | s |||| 0|eng d 9783031404740 978-3-031-40474-0 10.1007/978-3-031-40474-0 doi R858-859.7 MBG bicssc UB bicssc MED117000 bisacsh UXT thema Smallwood, Melissa. author. aut http://id.loc.gov/vocabulary/relators/aut 65740 The Future of Long COVID [electronic resource] : A Threatcasting Approach / by Melissa Smallwood. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VII, 108 p. 2 illus., 1 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Synthesis Lectures on Threatcasting, 2771-1579 Introduction -- What is Long COVID? -- International Perspectives on Long COVID -- COVID-19 vs. Past Pandemics: What Can we Learn? -- Threatcasting Project & Themes -- Where Do We Go from Here? -- Conclusion. This book provides an overview of Long COVID, the chronic illness and disability that can result from COVID-19 infection in 20–30% of survivors. It approaches the topic through its larger social, political, and historical context utilizing the Threatcasting methodology for scenario-based foresight. The book brings together multiple perspectives on Long COVID, such as patient experiences, healthcare system impacts, historical frameworks, and the information ecosystem surrounding COVID to explore the long-term structural implications of Long COVID beyond the current acute crisis. It is intended to be a guide for policy makers, healthcare providers, researchers, and anyone whose work will play a role in mitigating the long tail of COVID-19. Framing the pandemic within a historical and political framework while approaching Long COVID from the future-casting perspective, this book seeks to disentangle the issues posed by Long COVID from the current moment and is intended to establish new ways of thinking about and preparing for similar complex, over-the-horizon potential threats. The first book to apply the Threatcasting framework to a public-health issue like COVID-19 Draws together multiple perspectives of Long COVID that were previously discussed independently within their fields Comprehensively examines the history and future of Long COVID. Medical informatics. 60693 Social sciences Data processing. 65741 Biomedical engineering. Computer security. 58241 Health Informatics. 65742 Computer Application in Social and Behavioral Sciences. 65743 Medical and Health Technologies. 65744 Biomedical Engineering and Bioengineering. 65745 Principles and Models of Security. 65746 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031404733 Printed edition: 9783031404757 Printed edition: 9783031404764 Synthesis Lectures on Threatcasting, 2771-1579 65747 https://doi.org/10.1007/978-3-031-40474-0 ZDB-2-SXSC 56247 56247