Bruijn, Christopher de (2022) Centrality-based Control Policies for Early Epidemics in Structured Community Networks. Integration Project, Industrial Engineering and Management.
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Abstract
This research proposes a novel centrality-based isolation policy that aims to control epidemic spreading by isolating only a set percentage of the most central nodes when infected. A discrete-time stochastic SIQS model is used that allows for isolation interventions. Specific contributions are highlighted as follows: (i) Network topology versus centrality measures. Node selection for the proposed isolation policy is centrality-based and dynamic. Therefore, the performance of four commonly-used centrality measures, namely degree-, eigenvector-, closeness-, and betweenness centrality is compared for three different topology types in a dynamic, temporal network. Erdos-Renyi-, nearly-isolated community-, and community-affiliation graphs are considered. The performance of centrality measures is evaluated based on the spectral radius reduction per centrality type, as well as their effect on total costs. (ii) Centrality-based intervention policy for early epidemics. The proposed isolation policy is designed so that only the most central nodes of a given network are to be isolated. Additionally, it is designed to work with limited information, with only infection rate β, recovery rate δ, community membership and basic community density information required. This enables usage in early epidemics where no vaccination strategy is possible. Total costs are minimized by balancing intervention costs and costs of infection, leading to a policy that limits the adverse effects of an epidemic.
| Item Type: | Thesis (Integration Project) |
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| Supervisor name: | Monshizadeh Naini, N. and Larsen, G.K.H. and Malladi, V.S.P. |
| Degree programme: | Industrial Engineering and Management |
| Thesis type: | Integration Project |
| Language: | English |
| Date Deposited: | 12 Jul 2022 13:46 |
| Last Modified: | 12 Jul 2022 13:46 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/27787 |
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