Hybrid Modeling of Ebola Propagation

被引：0

作者：

Tanade, Cyrus ^{[1
]}

Pate, Nathanael ^{[2
]}

Paljug, Elianna ^{[2
]}

Hoffman, Ryan A. ^{[2
]}

Wang, May D. ^{[2
]}

机构：

[1] UCL, Dept Med Phys & Biomed Engn, London, England

[2] Georgia Inst Technol, Dept Biomed Engn, Atlanta, GA 30332 USA

来源：

2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE) | 2019年

关键词：

Ebola outbreak; agent-based modeling; compartmental modeling; VIRUS DISEASE; DYNAMICS; TRANSMISSION; OUTBREAK;

D O I：

10.1109/BIBE.2019.00044

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The Ebola virus disease (EVD) epidemic that occurred in West Africa between 2014-16 resulted in over 28,000 cases and 11,000 deaths - one of the deadliest to date. A generalized model of the spatiotemporal progression of EVD for Liberia, Guinea, and Sierra Leone in 2014-16 remains elusive. There is also a disconnect in the literature on which interventions are most effective in curbing disease progression. To solve these two key issues, we designed a hybrid agent-based and compartmental model that switches from one paradigm to the other on a stochastic threshold. We modeled disease progression with promising accuracy using WHO datasets.

引用

页码：204 / 210

页数：7

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