Optimal test-kit-based intervention strategy of epidemic spreading in heterogeneous complex networks
Optimal test-kit-based intervention strategy of epidemic spreading in heterogeneous complex networks
Ghosh, S.; Senapati, A.; Chattopadhyay, J.; Hens, C.; Ghosh, D.
Abstract
We propose a deterministic compartmental model of infectious disease that considers the test kits as an important ingredient for the suppression and mitigation of epidemics. A rigorous simulation (with an analytical argument) is provided to reveal the effective reduction of the final outbreak size and the peak of infection as a function of basic reproduction number in a single patch. Furthermore, to study the impact of long and short-distance human migration among the patches, we consider heterogeneous networks where the linear diffusive connectivity
is determined by the network link structure. We numerically confirm that implementation of test kits in a fraction of nodes (patches) having larger degrees or betweenness centralities can reduce the peak of infection (as well as the final outbreak size) significantly. A next-generation matrix-based analytical treatment is provided to find out the critical transmission probability in the entire network for the onset of epidemics. Finally, the optimal intervention strategy is validated in two real networks: the global airport network and the transportation network of Kolkata, India.
Keywords: Infectious disease modelling; Test-kit; Complex network; Intervention strategy
Verknüpfte Publikationen
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Data publication: Optimal test-kit-based intervention strategy of epidemic …
ROBIS: 34174 HZDR-primary research data are used by this (Id 34173) publication
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Chaos: An Interdisciplinary Journal of Nonlinear Science 31(2021), 071101
DOI: 10.1063/5.0053262
Cited 13 times in Scopus
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Permalink: https://www.hzdr.de/publications/Publ-34173