SIRTEM: Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19

Fahim Tasneema Azad; Robert W. Dodge; Allen M. Varghese; Jaejin Lee; Giulia Pedrielli; K. Selçuk Candan; Gerardo Chowell-Puente

doi:10.1145/3555310

SIRTEM: Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19

Fahim Tasneema Azad, Robert W. Dodge, Allen M. Varghese, Jaejin Lee, Giulia Pedrielli, K. Selçuk Candan, Gerardo Chowell-Puente

Engineering, Ira A. Fulton Schools of (IAFSE)

Research output: Contribution to journal › Article › peer-review

Abstract

COVID-19 outbreak was declared a pandemic by the World Health Organization on March 11, 2020. To minimize casualties and the impact on the economy, various mitigation measures have being employed with the purpose to slow the spread of the infection, such as complete lockdown, social distancing, and random testing. The key contribution of this article is twofold. First, we present a novel extended spatially informed epidemic model, SIRTEM, Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19, that integrates a multi-modal testing strategy considering test accuracies. Our second contribution is an optimization model to provide a cost-effective testing strategy when multiple test types are available. The developed optimization model incorporates realistic spatially based constraints, such as testing capacity and hospital bed limitation as well.

Original language	English (US)
Article number	3555310
Journal	ACM Transactions on Spatial Algorithms and Systems
Volume	8
Issue number	4
DOIs	https://doi.org/10.1145/3555310
State	Published - Nov 2 2022

Keywords

COVID-19
multi-accuracy testing
multi-city mixing

ASJC Scopus subject areas

Signal Processing
Information Systems
Modeling and Simulation
Computer Science Applications
Geometry and Topology
Discrete Mathematics and Combinatorics

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10.1145/3555310

Cite this

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abstract = "COVID-19 outbreak was declared a pandemic by the World Health Organization on March 11, 2020. To minimize casualties and the impact on the economy, various mitigation measures have being employed with the purpose to slow the spread of the infection, such as complete lockdown, social distancing, and random testing. The key contribution of this article is twofold. First, we present a novel extended spatially informed epidemic model, SIRTEM, Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19, that integrates a multi-modal testing strategy considering test accuracies. Our second contribution is an optimization model to provide a cost-effective testing strategy when multiple test types are available. The developed optimization model incorporates realistic spatially based constraints, such as testing capacity and hospital bed limitation as well.",

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AU - Azad, Fahim Tasneema

AU - Dodge, Robert W.

AU - Varghese, Allen M.

AU - Lee, Jaejin

AU - Pedrielli, Giulia

AU - Selçuk Candan, K.

AU - Chowell-Puente, Gerardo

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SIRTEM: Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19

Abstract

Keywords

ASJC Scopus subject areas

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