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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

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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Keywords 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. Mathematical Biosciences and Engineering, 2017, 14(1): 67-77. doi: 10.3934/mbe.2017005


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  • 1. Wasiur R. KhudaBukhsh, Boseung Choi, Eben Kenah, Grzegorz A. Rempała, Survival dynamical systems: individual-level survival analysis from population-level epidemic models, Interface Focus, 2020, 10, 1, 20190048, 10.1098/rsfs.2019.0048

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Copyright Info: 2017, Mark G. Burch, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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