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REPLY TO KUŚMIERZ AND TOYOIZUMI: A network-based explanation of whymost COVID-19 infection curves are linear.
- 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]
- Subjects :
- COVID-19
EXPLANATION
MEDICAL statistics
COMPLEXITY (Philosophy)
Subjects
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