Global Covid-19 Research and Modeling: A Historical Record
暫譯: 全球 COVID-19 研究與建模：歷史紀錄
Cao, Longbing
- 出版商: Springer
- 出版日期: 2025-03-31
- 售價: $7,630
- 貴賓價: 9.5 折 $7,249
- 語言: 英文
- 頁數: 383
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819999170
- ISBN-13: 9789819999170
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商品描述
This book provides answers to fundamental and challenging questions regarding the global response to COVID-19. It creates a historical record of COVID-19 research conducted over the four years of the pandemic, with a focus on how researchers have responded, quantified, and modeled COVID-19 problems. Since mid-2021, we have diligently monitored and analyzed global scientific efforts in tackling COVID-19. Our comprehensive global endeavor involves collecting, processing, analyzing, and discovering COVID-19 related scientific literature in English since January 2020. This provides insights into how scientists across disciplines and almost every country and regions have fought against COVID-19. Additionally, we explore the quantification of COVID-19 problems and impacts through mathematics, AI, machine learning, data science, epidemiology, and domain knowledge. The book reports findings on publication quantities, impacts, collaborations, and correlations with the economy and infectionsglobally, regionally, and country-wide. These results represent the first and only holistic and systematic studies aimed at scientifically understanding, quantifying, and containing the pandemic. We hope this comprehensive analysis will contribute to better preparedness, response, and management of future emergencies and inspire further research in infectious diseases. The book also serves as a valuable resource for research policy, funding management authorities, researchers, policy makers, and funding bodies involved in infectious disease management, public health, and emergency resilience.
商品描述(中文翻譯)
本書提供了關於全球對 COVID-19 回應的基本和挑戰性問題的答案。它創建了一個 COVID-19 研究的歷史記錄，涵蓋了疫情四年期間的研究，重點在於研究人員如何回應、量化和建模 COVID-19 問題。自 2021 年中以來，我們一直在勤勉地監測和分析全球在應對 COVID-19 方面的科學努力。我們的綜合全球工作涉及自 2020 年 1 月以來收集、處理、分析和發現與 COVID-19 相關的英語科學文獻。這提供了有關科學家如何跨學科以及幾乎每個國家和地區共同對抗 COVID-19 的見解。此外，我們通過數學、人工智慧 (AI)、機器學習、數據科學、流行病學和領域知識來探討 COVID-19 問題和影響的量化。本書報告了全球、區域和國家層面上出版數量、影響、合作以及與經濟和感染的相關性等發現。這些結果代表了首個也是唯一的全面和系統性研究，旨在科學地理解、量化和控制疫情。我們希望這一綜合分析能為未來應急情況的更好準備、回應和管理做出貢獻，並激發對傳染病進一步的研究。本書同時也是研究政策、資金管理機構、研究人員、政策制定者和參與傳染病管理、公共衛生和應急韌性的資金機構的重要資源。
作者簡介
Prof Longbing Cao is the Distinguished Chair in Artificial Intelligence (AI) and an Australian Research Council Future Fellow (professor) at the School of Computing, Macquarie University, Australia. Before joining Macquarie, he was the Founding Director of the Advanced Analytics Institute at the University of Technology Sydney and was a chief technology officer. Prof Cao is an internationally active research leader in AI, data science, and machine learning in both research and practice. He chaired many ACM and IEEE chapters and task forces and served as general chairs, program chairs, and steering committee chairs of prestigious international conferences. He has served as editors-in-chief and on editorial boards of core AI and data science journals. His significant research leadership and socioeconomic benefits have been recognized by an individual Australia's Eureka Prize and elected as an ACM Distinguished Scientist by ACM.
作者簡介(中文翻譯)
長炳教授是澳洲麥考瑞大學計算機學院的人工智慧（AI）特聘教授及澳洲研究委員會未來研究員（教授）。在加入麥考瑞大學之前，他是悉尼科技大學高級分析研究所的創始主任，並擔任首席技術官。長教授在人工智慧、數據科學和機器學習的研究與實踐方面都是國際活躍的研究領導者。他曾主持多個ACM和IEEE分會及工作小組，並擔任多個國際會議的總主席、程序主席和指導委員會主席。他曾擔任核心人工智慧和數據科學期刊的主編及編輯委員會成員。他在研究領導力及其對社會經濟的貢獻獲得了澳洲尤里卡獎的個人獎項，並被ACM選為傑出科學家。
