NETWORK-BASED ANALYSIS OF A SMALL EBOLA OUTBREAK

被引：2
|
作者：
Burch, Mark G. [1 ]
Jacobsen, Karly A. [2 ]
Tien, Joseph H. [2 ,3 ]
Rempala, Grzegorz A. [1 ,2 ]
机构：
[1] Ohio State Univ, Coll Publ Hlth, Columbus, OH 43210 USA
[2] Ohio State Univ, Math Biosci Inst, Columbus, OH 43210 USA
[3] Ohio State Univ, Dept Math, Columbus, OH 43210 USA
来源：
MATHEMATICAL BIOSCIENCES AND ENGINEERING | 2017年 / 14卷 / 01期
基金：
美国国家科学基金会;
关键词：
Ebola; network epidemic models; configuration model; branching process; statistical inference; VIRUS DISEASE; DYNAMICS; LIMIT; INFERENCE; EPIDEMICS;
D O I：
10.3934/mbe.2017005
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We present a method for estimating epidemic parameters in network-based stochastic epidemic models when the total number of infections is assumed to be small. We illustrate the method by reanalyzing the data from the 2014 Democratic Republic of the Congo (DRC) Ebola outbreak described in Maganga et al. (2014).
引用
收藏
页码：67 / 77
页数：11
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