Strong spatial embedding of social networks generates nonstandard epidemic dynamics independent of degree distribution and clustering

DOI10.1073/pnas.1910181117zbMath1485.92131OpenAlexW3083988257WikidataQ99233641 ScholiaQ99233641MaRDI QIDQ5073162

David J. Haw, Steven Riley, Rachael Pung

Publication date: 5 May 2022

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.1910181117

Mathematics Subject Classification ID

Epidemiology (92D30) Social networks; opinion dynamics (91D30)

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Cites Work

• Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US
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• Contact network epidemiology: Bond percolation applied to infectious disease prediction and control
• Bounding the Size and Probability of Epidemics on Networks
• Uncovering space-independent communities in spatial networks
• Collective dynamics of ‘small-world’ networks

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