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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Archīum Ateneo
2023
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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 |
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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 |
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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 |
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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. |
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text |
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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 |
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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 |
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Geospatial and Spatio-Temporal Models |
title_sort |
geospatial and spatio-temporal models |
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Archīum Ateneo |
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2023 |
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https://archium.ateneo.edu/discs-faculty-pubs/414 https://doi.org/10.1007/978-981-99-3153-8_7 |
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