@article{1475932,
      recid = {1475932},
      author = {Estuar, Maria Regina Justina, and De Lara-Tuprio, Elvira,},
      title = {COVID-19 experience in the Philippines : response,  surveillance and monitoring using the FASSSTER platform /},
      pages = {1 online resource (xx, 159 pages).},
      note = {Description based upon print version of record.},
      abstract = {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.},
      url = {http://library.usi.edu/record/1475932},
      doi = {https://doi.org/10.1007/978-981-99-3153-8},
}