Local and cluster distributed reproduction numbers, built from the next-generation matrix and infection ratios, plus a bounded-Gaussian and shuffle privacy mechanism, give accurate private estimates of regional epidemic spread in COVID-19 data.
On a networked SIS epidemic model with cooperative and antagonistic opinion dynamics,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SY 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy
Local and cluster distributed reproduction numbers, built from the next-generation matrix and infection ratios, plus a bounded-Gaussian and shuffle privacy mechanism, give accurate private estimates of regional epidemic spread in COVID-19 data.