Deploying System Dynamics Models for Disease Surveillance in the Philippines

Disease surveillance is vital for monitoring outbreaks and designing timely public health interventions. However, especially in developing contexts, disease surveillance efforts are constrained by challenges of data scarcity. In this work, we discuss the deployment of system dynamics simulation mode...

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Main Authors: Uyheng, Joshua, Pulmano, Christian E, Estuar, Ma. Regina Justina E
Format: text
Published: Archīum Ateneo 2020
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Online Access:https://archium.ateneo.edu/mathematics-faculty-pubs/147
https://link.springer.com/chapter/10.1007/978-3-030-61255-9_4
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Institution: Ateneo De Manila University
id ph-ateneo-arc.mathematics-faculty-pubs-1146
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spelling ph-ateneo-arc.mathematics-faculty-pubs-11462021-02-15T06:55:48Z Deploying System Dynamics Models for Disease Surveillance in the Philippines Uyheng, Joshua Pulmano, Christian E Estuar, Ma. Regina Justina E Disease surveillance is vital for monitoring outbreaks and designing timely public health interventions. However, especially in developing contexts, disease surveillance efforts are constrained by challenges of data scarcity. In this work, we discuss the deployment of system dynamics simulation models to aid in local disease surveillance programs in the Philippines. More specifically, we propose that (a) available time series records of disease incidence can be used to initialize simulation models with high accuracy and interpretability, and (b) virtual experiments can be used to test various what-if scenarios in designing potential interventions. Experiments with three years of data on dengue fever in the Western Visayas region illustrate our proposed framework as deployed on the FASSSTER platform. We conclude by outlining challenges and potential directions for future work. 2020-10-11T07:00:00Z text https://archium.ateneo.edu/mathematics-faculty-pubs/147 https://link.springer.com/chapter/10.1007/978-3-030-61255-9_4 Mathematics Faculty Publications Archīum Ateneo Disease surveillance System dynamics Simulation Applied Mathematics Computer Sciences Medicine and Health Sciences
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 Disease surveillance
System dynamics
Simulation
Applied Mathematics
Computer Sciences
Medicine and Health Sciences
spellingShingle Disease surveillance
System dynamics
Simulation
Applied Mathematics
Computer Sciences
Medicine and Health Sciences
Uyheng, Joshua
Pulmano, Christian E
Estuar, Ma. Regina Justina E
Deploying System Dynamics Models for Disease Surveillance in the Philippines
description Disease surveillance is vital for monitoring outbreaks and designing timely public health interventions. However, especially in developing contexts, disease surveillance efforts are constrained by challenges of data scarcity. In this work, we discuss the deployment of system dynamics simulation models to aid in local disease surveillance programs in the Philippines. More specifically, we propose that (a) available time series records of disease incidence can be used to initialize simulation models with high accuracy and interpretability, and (b) virtual experiments can be used to test various what-if scenarios in designing potential interventions. Experiments with three years of data on dengue fever in the Western Visayas region illustrate our proposed framework as deployed on the FASSSTER platform. We conclude by outlining challenges and potential directions for future work.
format text
author Uyheng, Joshua
Pulmano, Christian E
Estuar, Ma. Regina Justina E
author_facet Uyheng, Joshua
Pulmano, Christian E
Estuar, Ma. Regina Justina E
author_sort Uyheng, Joshua
title Deploying System Dynamics Models for Disease Surveillance in the Philippines
title_short Deploying System Dynamics Models for Disease Surveillance in the Philippines
title_full Deploying System Dynamics Models for Disease Surveillance in the Philippines
title_fullStr Deploying System Dynamics Models for Disease Surveillance in the Philippines
title_full_unstemmed Deploying System Dynamics Models for Disease Surveillance in the Philippines
title_sort deploying system dynamics models for disease surveillance in the philippines
publisher Archīum Ateneo
publishDate 2020
url https://archium.ateneo.edu/mathematics-faculty-pubs/147
https://link.springer.com/chapter/10.1007/978-3-030-61255-9_4
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