Abstract
Currently, two main social policies are used by different governments to prevent the uncontrolled spreading of COVID-19, lockdowns, or “self-isolation” and borders closings. In both cases, the aim of clustering population is to localise the illness propagation in closed communities and prevent it from spread through the entire human network. In the Chapter, we discuss which mechanism better blocks the spread of the epidemic: self-quarantine in local communities induced by increasing the weights of small cliques in the human network or sharp clustering via closing of borders between arbitrary parts of the human network. In an ideal situation, when all self-isolated communities are absolutely disconnected from each other, and when the border crossings between cities and countries are totally prohibited, both protocols are equally efficient and definitely inhibit disease expansion. However, in reality, it is impossible to isolate people’s communities completely and some fraction of cross-community connections is always present. In that case, we claim that the human network clustering obtained by self-isolation better prevents the spread of the epidemic than the instant separation of the network into the clusters.
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Notes
- 1.
Outer vertices we understand as nodes connected by cross-cluster (outer) links, while inner vertices are nodes connected by in-cluster (inner) links. These notations should not be confused with outer and inner links in directed networks.
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Acknowledgements
We are grateful to O. Yartseva for pushing us to think about the impact of the underlying network structure on epidemic spread and to M. Tamm for valuable discussions. O.V, S.N. and A.G. acknowledge the support of the Russian Science Foundation Grant No. 21-11-00215
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Valba, O.V., Avetisov, V.A., Gorsky, A.S., Nechaev, S.K. (2021). What Social Policy Is Better: Lockdowns or Borders Closings During SARS-CoV-2 Pandemic?. In: Legach, F.a.E.I., Sharov, K.S. (eds) SARS-CoV-2 and Coronacrisis. Springer, Singapore. https://doi.org/10.1007/978-981-16-2605-0_5
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