Affiliation:
1. School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA
2. Dept. of Population Health Sciences, Georgia State University, Atlanta, GA, USA
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.
Publisher
Association for Computing Machinery (ACM)
Subject
Discrete Mathematics and Combinatorics,Geometry and Topology,Computer Science Applications,Modeling and Simulation,Information Systems,Signal Processing
Reference93 articles.
1. An Epidemiological Model of Malaria Accounting for Asymptomatic Carriers
2. Estimating the reproduction number of ebola virus (EBOV) during the 2014 outbreak in west africa;Althaus Christian L.;PLoS Curr.,2014
3. Roy M. Anderson, B. Anderson, and Robert M. May. 1992. Infectious Diseases of Humans: Dynamics and Control. Oxford University Press.
4. How will country-based mitigation measures influence the course of the COVID-19 epidemic?
5. Hakan Andersson and Tom Britton. 2012. Stochastic Epidemic Models and Their Statistical Analysis. Vol. 151. Springer Science & Business Media.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献