Overview
- Provides a framework for designing and developing an operational disease surveillance dashboard in a health crisis
- Serves as a mini-handbook or toolkit on disease modeling and surveillance
- Includes source codes available for future disease surveillance needs
Part of the book series: Disaster Risk Reduction (DRR)
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About this book
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.
Keywords
Table of contents (7 chapters)
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Front Matter
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COVID-19 Disease Surveillance System in the Philippines
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Front Matter
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FASSSTER Analytics and Models
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Front Matter
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Back Matter
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: COVID-19 Experience in the Philippines
Book Subtitle: Response, Surveillance and Monitoring Using the FASSSTER Platform
Editors: Maria Regina Justina Estuar, Elvira De Lara-Tuprio
Series Title: Disaster Risk Reduction
DOI: https://doi.org/10.1007/978-981-99-3153-8
Publisher: Springer Singapore
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-3152-1Published: 08 August 2023
Softcover ISBN: 978-981-99-3155-2Due: 08 September 2023
eBook ISBN: 978-981-99-3153-8Published: 07 August 2023
Series ISSN: 2196-4106
Series E-ISSN: 2196-4114
Edition Number: 1
Number of Pages: XX, 159
Number of Illustrations: 7 b/w illustrations, 58 illustrations in colour
Topics: Natural Hazards, Public Health, Management of Computing and Information Systems, Developmental Biology