-
出版商:
Springer
-
出版日期:
2024-08-09
-
售價:
$4,020
-
貴賓價:
9.5 折
$3,819
-
語言:
英文
-
頁數:
159
-
裝訂:
Quality Paper - also called trade paper
-
ISBN:
981993155X
-
ISBN-13:
9789819931552
商品描述
This book provides an overview of the extensive work that has been done on the design and implementation of the COVID-19 Philippines Local Government Unit Monitoring Platform, more commonly known as Feasibility Analysis of Syndromic Surveillance Using Spatio-Temporal Epidemiological Modeler for Early Detection of Diseases (FASSSTER). The project began in 2016 as a pilot study in developing a multidimensional approach in disease modeling requiring the development of an interoperable platform to accommodate input of data from various sources including electronic medical records, various disease surveillance systems, social media, online news, and weather data. In 2020, the FASSSTER platform was reconfigured for use in the COVID-19 pandemic. Using lessons learned from the previous design and implementation of the platform toward its full adoption by the Department of Health of the Philippines, this book narrates the story of FASSSTER in two main parts.Part I provides a historical perspective of the FASSSTER platform as a modeling and disease surveillance system for dengue, measles and typhoid, followed by the origins of the FASSSTER framework and how it was reconfigured for the management of COVID-19 information for the Philippines. Part I also explains the different technologies and system components of FASSSTER that paved the way to the operationalization of the FASSSTER model and allowed for seamless rendering of projections and analytics. Part II describes the FASSSTER analytics and models including the Susceptible-Exposed-Infected-Recovered (SEIR) model, the model for time-varying reproduction number, spatiotemporal models and contact tracing models, which became the basis for the imposition of restrictions in mobility translated into localized lockdowns.
商品描述(中文翻譯)
本書提供了對於設計和實施 COVID-19 菲律賓地方政府單位監測平台的廣泛工作的概述，該平台更常被稱為使用時空流行病學模型進行症狀監測的可行性分析（FASSSTER）。該項目始於 2016 年，作為一項試點研究，旨在開發一種多維度的疾病建模方法，並需要開發一個可互操作的平台，以便從各種來源（包括電子病歷、各種疾病監測系統、社交媒體、在線新聞和氣象數據）輸入數據。2020 年，FASSSTER 平台被重新配置以應對 COVID-19 大流行。利用從先前平台設計和實施中獲得的經驗教訓，促進其被菲律賓衛生部全面採用，本書將 FASSSTER 的故事分為兩個主要部分。第一部分提供了 FASSSTER 平台作為登革熱、麻疹和傷寒的建模和疾病監測系統的歷史視角，接著介紹了 FASSSTER 框架的起源以及如何重新配置以管理菲律賓的 COVID-19 資訊。第一部分還解釋了 FASSSTER 的不同技術和系統組件，這些組件為 FASSSTER 模型的運作鋪平了道路，並實現了無縫的預測和分析。第二部分描述了 FASSSTER 的分析和模型，包括易感-潛伏-感染-康復（SEIR）模型、時間變化繁殖數模型、時空模型和接觸追蹤模型，這些模型成為限制流動性並轉化為地方封鎖的基礎。
作者簡介
Regina Estuar is a full professor in the Department of Information Systems and Computer Science, Loyola Schools, Ateneo de Manila University, Philippines. She holds a senior fellow post at the Philippine Public Safety College where she serves as an adviser to information and communication technology (ICT) tools for disaster resilience. In 2019, she received The Outstanding Women in the Nation's Service (TOWNS) award for her contribution in science and technology, specifically in the design of ICT-based platforms for public health, disease surveillance and disaster response. In 2012, she founded the Ateneo Social Computing Laboratory to establish a firm foundation in the development of social computing platforms through the lens of social psychology. Since 2007, she has managed the Ateneo Center for Computing Competency and Research (formerly the Ateneo Java Wireless Competency Center), a research incubator laboratory that has been producing technologies for social good and socialchange. In 2020, she led a team of mathematical modelers, data scientists, software engineers and epidemiologists, in designing, developing, deploying and maintaining a scenario-based analytics and disease modeling platform to aid in the management of the COVID-19 pandemic.
Elvira P. de Lara-Tuprio is a professor and former chair of the Department of Mathematics, School of Science and Engineering at the Ateneo de Manila University. She has been teaching mathematics since 1990 and financial mathematics, including financial derivatives and risk management, since 2009. She was awarded a FINEX-Citibank Outstanding Finance Educator Award for the National Capital Region in 2011. Outside academe, she is a finance practitioner, having served as a consultant and reviewer of risk management models for a number of local banks since 2010. Aside from finance, her research includes epidemiological modeling and flood hazard modeling. She is also actively involved in mathematics education, through teacher training and reviewing of learning materials and teachers' guides for public schools. She is an author of mathematics textbooks designed for high school and college students. Dr. Elvie heads the mathematical modeling team for FASSSTER.
作者簡介(中文翻譯)
Regina Estuar 是菲律賓馬尼拉雅典耀大學資訊系統與計算機科學系的正教授。她在菲律賓公共安全學院擔任高級研究員，擔任災害韌性資訊與通信技術（ICT）工具的顧問。2019年，她因在科學與技術方面的貢獻，特別是在公共健康、疾病監測和災害應對的ICT平台設計上，獲得全國服務傑出女性（TOWNS）獎。2012年，她創立了雅典耀社會計算實驗室，旨在通過社會心理學的視角建立社會計算平台發展的堅實基礎。自2007年以來，她一直管理雅典耀計算能力與研究中心（前身為雅典耀Java無線能力中心），這是一個研究孵化實驗室，致力於為社會公益和社會變革開發技術。2020年，她領導了一支由數學建模師、數據科學家、軟體工程師和流行病學家組成的團隊，設計、開發、部署和維護一個基於情境的分析和疾病建模平台，以協助管理COVID-19疫情。
Elvira P. de Lara-Tuprio 是馬尼拉雅典耀大學科學與工程學院數學系的教授及前系主任。自1990年以來，她一直教授數學，自2009年以來教授金融數學，包括金融衍生品和風險管理。2011年，她獲得全國首都區FINEX-Citibank傑出金融教育者獎。除了學術界，她還是一名金融從業者，自2010年以來擔任多家地方銀行的風險管理模型顧問和審查員。除了金融領域，她的研究還包括流行病學建模和洪水危害建模。她也積極參與數學教育，通過教師培訓和審查公立學校的學習材料及教師指南。她是為高中和大學生設計的數學教科書的作者。Elvie博士負責FASSSTER的數學建模團隊。
