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COVID-19 Experience in the Philippines Response, Surveillance and Monitoring Using the FASSSTER Platform /

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 Earl...

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Bibliografski detalji
Autor kompanije: SpringerLink (Online service)
Daljnji autori: Estuar, Maria Regina Justina (Urednik), De Lara-Tuprio, Elvira (Urednik)
Format: Elektronički e-knjiga
Jezik:engleski
Izdano: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Izdanje:1st ed. 2023.
Serija:Disaster Risk Reduction, Methods, Approaches and Practices,
Teme:
Natural disasters.
Public health.
Electronic data processing > Management.
Diseases > Animal models.
Natural Hazards.
Public Health.
IT Operations.
Disease Models.
Online pristup:https://doi.org/10.1007/978-981-99-3153-8
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Sadržaj:
  • Chapter 1. Origins of FASSSTER
  • Chapter 2. Management of COVID-19 Data for the FASSSTER Platform
  • Chapter 3. FASSSTER Data Pipeline and DevOps
  • Chapter 4. Disease Surveillance Metrics and Statistics
  • Chapter 5. Effective Reproduction Number Rt
  • Chapter 6. The FASSSTER SEIR Model
  • Chapter 7. Geospatial and Spatio-Temporal Models. .

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