Innovative computational advances for disease outbreaks

Kidane Desta Gebreyesus, Chuan-Hsiung Chang

研究成果: Conference contribution同行評審

摘要

SIR (susceptible, infectious, removed) epidemic models are commonly used in infectious disease study. These models use systems of differential equations to estimate epidemiological parameters. However, differential equations often suffer from numerical challenges. Here, we proposed simple, effective and robust innovative methods for estimating key infectious disease parameters. Our methods are reformed from the SIR models, by adjusting components of model compartments. We illustrated the methods using the recent large disease outbreaks, Ebola virus disease and Middle East respiratory syndrome Coronavirus.

原文English
主出版物標題WCE 2016 - World Congress on Engineering 2016
編輯Len Gelman, David W.L. Hukins, S. I. Ao, S. I. Ao, Len Gelman, S. I. Ao, Alexander M. Korsunsky, Andrew Hunter
發行者Newswood Limited
頁面523-525
頁數3
ISBN(電子)9789881925305
出版狀態Published - 2016
事件World Congress on Engineering 2016, WCE 2016 - London, United Kingdom
持續時間: 29 6月 20161 7月 2016

出版系列

名字Lecture Notes in Engineering and Computer Science
2223
ISSN(列印)2078-0958

Conference

ConferenceWorld Congress on Engineering 2016, WCE 2016
國家/地區United Kingdom
城市London
期間29/06/161/07/16

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