| 书目名称 | Global COVID-19 Research and Modeling | | 副标题 | A Historical Record | | 编辑 | Longbing Cao | | 视频video | | | 概述 | Answers tough questions: How do global researchers respond to COVID-19? How to quantify, model COVID-19 problems?.A historical record to collect, process, analyze the vasty COVID related literature ar | | 丛书名称 | Data Analytics | | 图书封面 |  | | 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 | | 出版日期 | Book 2024 | | 关键词 | COVID-19 pandemic; Epidemic modeling; COVID-19 modeling; Machine learning; Statistical learning; Deep lea | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-9915-6 | | isbn_softcover | 978-981-99-9917-0 | | isbn_ebook | 978-981-99-9915-6Series ISSN 2520-1859 Series E-ISSN 2520-1867 | | issn_series | 2520-1859 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 16:11:01
