COVID-19 Experience in the Philippines : Response, Surveillance and Monitoring Using the FASSSTER Platform / edited by Maria Regina Justina Estuar, Elvira De Lara-Tuprio.

Format:

Book

Contributor:

Estuar, Maria Regina Justina, editor.

De Lara-Tuprio, Elvira, editor.

Series:

Disaster Risk Reduction, Methods, Approaches and Practices, 2196-4114

Language:

English

Subjects (All):

Natural disasters.

Public health.

Electronic data processing--Management.

Diseases--Animal models.

Natural Hazards.

Public Health.

IT Operations.

Disease Models.

Local Subjects:

Natural Hazards.

Public Health.

IT Operations.

Disease Models.

Physical Description:

1 online resource (169 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

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.

Contents:

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. .

Notes:

Includes bibliographical references.

Other Format:

Print version: Estuar, Maria Regina Justina COVID-19 Experience in the Philippines

ISBN:

981-9931-53-3

OCLC:

1393306579