Author: Medo, Mat'uvs
Title: Epidemic spreading on spatial networks with distance-dependent connectivity Cord-id: qorgt221 Document date: 2020_3_29
ID: qorgt221
Snippet: We study the epidemic spreading on spatial networks where the probability that two nodes are connected decays with their distance as a power law. As the exponent of the distance dependence grows, the resulting networks smoothly transition from the random network limit to the regular lattice limit. We show that despite keeping the average number of contacts constant, the increasing exponent hampers the epidemic spreading as it makes long-distance connections less frequent. The growth of the numbe
Document: We study the epidemic spreading on spatial networks where the probability that two nodes are connected decays with their distance as a power law. As the exponent of the distance dependence grows, the resulting networks smoothly transition from the random network limit to the regular lattice limit. We show that despite keeping the average number of contacts constant, the increasing exponent hampers the epidemic spreading as it makes long-distance connections less frequent. The growth of the number of infections is also influenced by the exponent value and changes from exponential growth to power-law growth. The resulting growth is compatible with recent analyses of the COVID-19 spreading in most countries.
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