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REPLY TO KUŚMIERZ AND TOYOIZUMI: A network-based explanation of whymost COVID-19 infection curves are linear.

Authors :
Thurner, Stefan
Klimek, Peter
Hanel, Rudolf
Source :
Proceedings of the National Academy of Sciences of the United States of America; 3/9/2021, Vol. 118 Issue 10, p1-1, 1p
Publication Year :
2021

Abstract

REPLY TO KU'SMIERZ AND TOYOIZUMI: A network-based explanation of whymost COVID-19 infection curves are linear. As seen in figure 2A in ref. 2, the D c values for ER networks for different settings are clearly below the corresponding D c for SW networks. LETTER REPLY TO KU SMIERZ AND TOYOIZUMI: Anetwork-basedexplanationofwhymost COVID-19infectioncurvesarelinear Stefan Thurner a,b,c,1, Peter Klimek a,b , and Rudolf Hanel a,b  In a comment on our recent paper (1), the commentators point out that infection curves on small-world (SW) networks are linear only in the vicinity of the critical point (2) and that infection dynamics on complex or SW networks have already been studied, for instance,inref.3. [Extracted from the article]

Details

Language :
English
ISSN :
00278424
Volume :
118
Issue :
10
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
149280909
Full Text :
https://doi.org/10.1073/pnas.2100906118