Geospatial and Spatio-Temporal Models

One of the main functions of the FASSSTER platform is to provide Spatio-Temporal approach in understanding disease spread. In fact; the name of the platform when spelled out explicitly indicates Spatio-Temporal analysis. Specifically; the original version of FASSSTER made use of Spatio-Temporal Epid...

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Main Authors: Benito, Daniel Joseph, Yao, Lean Franzl, Uyheng, Joshua, De Lara-Tuprio, Elvira, Pulmano, Christian E, Estuar, Ma. Regina Justina
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Published: Archīum Ateneo 2023
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Online Access:https://archium.ateneo.edu/discs-faculty-pubs/414
https://doi.org/10.1007/978-981-99-3153-8_7
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Institution: Ateneo De Manila University
id ph-ateneo-arc.discs-faculty-pubs-1414
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spelling ph-ateneo-arc.discs-faculty-pubs-14142024-04-29T08:16:40Z Geospatial and Spatio-Temporal Models Benito, Daniel Joseph Yao, Lean Franzl Uyheng, Joshua De Lara-Tuprio, Elvira Pulmano, Christian E Estuar, Ma. Regina Justina One of the main functions of the FASSSTER platform is to provide Spatio-Temporal approach in understanding disease spread. In fact; the name of the platform when spelled out explicitly indicates Spatio-Temporal analysis. Specifically; the original version of FASSSTER made use of Spatio-Temporal Epidemiological Modeler (STEM) to visualize the spread of dengue; measles; and typhoid that is derived from the SEIR projections. Given the limitations in using STEM for spatial and spatio-temporal analysis for COVID-19 cases in the Philippines; more appropriate models were developed to accommodate the need for better visualization as well as a better prediction on the spread of the disease. 2023-08-08T07:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/414 https://doi.org/10.1007/978-981-99-3153-8_7 Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Geospatial Spatio-temporal Epidemiology Spatial autocorrelation Integrated nested laplace approximation Analytical, Diagnostic and Therapeutic Techniques and Equipment Data Science Epidemiology Medicine and Health Sciences Physical Sciences and Mathematics Public Health
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Geospatial
Spatio-temporal
Epidemiology
Spatial autocorrelation
Integrated nested laplace approximation
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Data Science
Epidemiology
Medicine and Health Sciences
Physical Sciences and Mathematics
Public Health
spellingShingle Geospatial
Spatio-temporal
Epidemiology
Spatial autocorrelation
Integrated nested laplace approximation
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Data Science
Epidemiology
Medicine and Health Sciences
Physical Sciences and Mathematics
Public Health
Benito, Daniel Joseph
Yao, Lean Franzl
Uyheng, Joshua
De Lara-Tuprio, Elvira
Pulmano, Christian E
Estuar, Ma. Regina Justina
Geospatial and Spatio-Temporal Models
description One of the main functions of the FASSSTER platform is to provide Spatio-Temporal approach in understanding disease spread. In fact; the name of the platform when spelled out explicitly indicates Spatio-Temporal analysis. Specifically; the original version of FASSSTER made use of Spatio-Temporal Epidemiological Modeler (STEM) to visualize the spread of dengue; measles; and typhoid that is derived from the SEIR projections. Given the limitations in using STEM for spatial and spatio-temporal analysis for COVID-19 cases in the Philippines; more appropriate models were developed to accommodate the need for better visualization as well as a better prediction on the spread of the disease.
format text
author Benito, Daniel Joseph
Yao, Lean Franzl
Uyheng, Joshua
De Lara-Tuprio, Elvira
Pulmano, Christian E
Estuar, Ma. Regina Justina
author_facet Benito, Daniel Joseph
Yao, Lean Franzl
Uyheng, Joshua
De Lara-Tuprio, Elvira
Pulmano, Christian E
Estuar, Ma. Regina Justina
author_sort Benito, Daniel Joseph
title Geospatial and Spatio-Temporal Models
title_short Geospatial and Spatio-Temporal Models
title_full Geospatial and Spatio-Temporal Models
title_fullStr Geospatial and Spatio-Temporal Models
title_full_unstemmed Geospatial and Spatio-Temporal Models
title_sort geospatial and spatio-temporal models
publisher Archīum Ateneo
publishDate 2023
url https://archium.ateneo.edu/discs-faculty-pubs/414
https://doi.org/10.1007/978-981-99-3153-8_7
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