001475932 000__ 04660cam\\22006017a\4500 001475932 001__ 1475932 001475932 003__ OCoLC 001475932 005__ 20231003174624.0 001475932 006__ m\\\\\o\\d\\\\\\\\ 001475932 007__ cr\cn\nnnunnun 001475932 008__ 230812s2023\\\\si\\\\\\o\\\\\000\0\eng\d 001475932 020__ $$a9789819931538 001475932 020__ $$a9819931533 001475932 0247_ $$a10.1007/978-981-99-3153-8$$2doi 001475932 035__ $$aSP(OCoLC)1393306579 001475932 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dEBLCP$$dOCLCQ$$dVLB$$dOCLCO 001475932 049__ $$aISEA 001475932 050_4 $$aRA644.C67$$bC68 2023eb 001475932 08204 $$a362.1962/4144/0954$$223/eng/20230815 001475932 24500 $$aCOVID-19 experience in the Philippines :$$bresponse, surveillance and monitoring using the FASSSTER platform /$$cMaria Regina Justina Estuar, Elvira De Lara-Tuprio, editors. 001475932 264_1 $$aSingapore :$$bSpringer,$$c[2023] 001475932 264_4 $$c©2023 001475932 300__ $$a1 online resource (xx, 159 pages). 001475932 4901_ $$aDisaster risk reduction 001475932 500__ $$aDescription based upon print version of record. 001475932 50500 $$gPart I.$$tCOVID-19 Disease Surveillance System in the Philippines --$$tOrigins of FASSSTER --$$tManagement of COVID-19 Data for the FASSSTER Platform --$$tFASSSTER Data Pipeline and DevOps --$$gPart II.$$tFASSSTER Analytics and Models --$$tDisease Surveillance Metrics and Statistics --$$tEffective Reproduction Number Rt --$$tThe FASSSTER SEIR model --$$tGeospatial and spatio-temporal models. 001475932 506__ $$aAccess limited to authorized users. 001475932 520__ $$aThis book provides an overview of the extensive work that has been done on the design and implementation of the COVID-19 Philippines Local Government Unit Monitoring Platform, more commonly known as Feasibility Analysis of Syndromic Surveillance Using Spatio-Temporal Epidemiological Modeler for Early Detection of Diseases (FASSSTER). The project began in 2016 as a pilot study in developing a multidimensional approach in disease modeling requiring the development of an interoperable platform to accommodate input of data from various sources including electronic medical records, various disease surveillance systems, social media, online news, and weather data. In 2020, the FASSSTER platform was reconfigured for use in the COVID-19 pandemic. Using lessons learned from the previous design and implementation of the platform toward its full adoption by the Department of Health of the Philippines, this book narrates the story of FASSSTER in two main parts. Part I provides a historical perspective of the FASSSTER platform as a modeling and disease surveillance system for dengue, measles and typhoid, followed by the origins of the FASSSTER framework and how it was reconfigured for the management of COVID-19 information for the Philippines. Part I also explains the different technologies and system components of FASSSTER that paved the way to the operationalization of the FASSSTER model and allowed for seamless rendering of projections and analytics. Part II describes the FASSSTER analytics and models including the Susceptible-Exposed-Infected-Recovered (SEIR) model, the model for time-varying reproduction number, spatiotemporal models and contact tracing models, which became the basis for the imposition of restrictions in mobility translated into localized lockdowns. 001475932 650_0 $$aCOVID-19 (Disease)$$zPhilippines$$xEpidemiology. 001475932 650_0 $$aCOVID-19 (Disease)$$xTransmission$$xMathematical models. 001475932 650_0 $$aHealth planning$$zPhilippines. 001475932 650_6 $$aCOVID-19$$zPhilippines$$xÉpidémiologie. 001475932 650_6 $$aCOVID-19$$xTransmission$$xModèles mathématiques. 001475932 650_6 $$aSanté publique$$xPlanification$$zPhilippines. 001475932 655_0 $$aElectronic books. 001475932 7001_ $$aEstuar, Maria Regina Justina,$$eeditor. 001475932 7001_ $$aDe Lara-Tuprio, Elvira,$$eeditor. 001475932 77608 $$iPrint version:$$aEstuar, Maria Regina Justina$$tCOVID-19 Experience in the Philippines$$dSingapore : Springer,c2023$$z9789819931521 001475932 830_0 $$aDisaster risk reduction. 001475932 852__ $$bebk 001475932 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-3153-8$$zOnline Access$$91397441.1 001475932 909CO $$ooai:library.usi.edu:1475932$$pGLOBAL_SET 001475932 980__ $$aBIB 001475932 980__ $$aEBOOK 001475932 982__ $$aEbook 001475932 983__ $$aOnline 001475932 994__ $$a92$$bISE