Polynomial epidemics and clustering in contact networks
Related Experiment Video
Updated: Aug 21, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Balázs Szendroi1, Gábor Csányi
1Department of Mathematics, Utrecht University, NL-3508 TA, Utrecht, The Netherlands. szendroi@math.uu.nl
Abstract:
It is widely known that the spread of the human immunodeficiency virus was slower than exponential in several populations, even at the very beginning of the epidemic. We show that this implies a significant reduction in the effective reproductive rate of the epidemic, and describe a general mechanism, related to the clustering properties of the disease transmission network, that is capable of explaining this reduction. Our considerations provide what is, to our knowledge, a new angle on polynomial epidemic processes, and may have implications for the choice of strategy against such epidemics.
Related Concept Videos
Steps in Outbreak Investigation
Exponential Equations for Modeling Growth
Modeling with Differential Equations
Statistical Methods for Analyzing Epidemiological Data
Investigation of Disease Outbreaks
Radical Chain-Growth Polymerization: Overview
