Network-Based Analysis of a Small Ebola Outbreak
Mark G. Burch, Karly A. Jacobsen, Joseph H. Tien, Grzegorz A. Rempala
TL;DR
This paper introduces a network-based method for estimating epidemic parameters specifically tailored for small outbreaks, demonstrated through reanalysis of the 2014 DRC Ebola data.
Contribution
The paper develops a novel approach for parameter estimation in small epidemic outbreaks within network models, addressing a gap in existing methods.
Findings
Effective estimation of epidemic parameters for small outbreaks
Application to 2014 DRC Ebola data shows practical utility
Method improves understanding of outbreak dynamics in limited cases
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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