Network-based analysis of a small Ebola outbreak

Mark G. Burch; Karly A. Jacobsen; Joseph H. Tien; Grzegorz A. Rempała; Mark G. Burch; Karly A. Jacobsen; Joseph H. Tien; Grzegorz A. Rempała

doi:10.3934/mbe.2017005

Mathematical Biosciences and Engineering

2017, Volume 14, Issue 1: 67-77. doi: 10.3934/mbe.2017005

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Network-based analysis of a small Ebola outbreak

1.
College of Public Health, The Ohio State University, Columbus, OH 43210, USA
2.
Mathematical Biosciences Institute, The Ohio State University, Columbus, OH 43210, USA
3.
Department of Mathematics and Mathematical Biosciences Institute, The Ohio State University, Columbus, OH 43210, USA
4.
College of Public Health and Mathematical Biosciences Institute, The Ohio State University, Columbus, OH 43210, USA

Received: 06 November 2015 Accepted: 15 April 2016 Published: 01 February 2017
MSC : Primary: 92B; Secondary: 92C60

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).
- Ebola,
- network epidemic models,
- configuration model,
- branching process,
- statistical inference
Citation: Mark G. Burch, Karly A. Jacobsen, Joseph H. Tien, Grzegorz A. Rempała. Network-based analysis of a small Ebola outbreak[J]. Mathematical Biosciences and Engineering, 2017, 14(1): 67-77. doi: 10.3934/mbe.2017005

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Abstract

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).

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