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Found 7 papers, 4 papers with code
Equivalence of Mass Action and Poisson Network SIR Epidemic Models
This brief note highlights a largely overlooked similarity between the SIR ordinary differential equations used for epidemics on the configuration model of a Poisson network and the classical mass-action SIR equations introduced nearly a century ago by Kermack and McKendrick.
Necessary and sufficient conditions for exact closures of epidemic equations on configuration model networks
We prove that the exact closure of SIR pairwise epidemic equations on a configuration model network is possible if and only if the degree distribution is Poisson, Binomial, or Negative Binomial.
Likelihood-Free Dynamical Survival Analysis Applied to the COVID-19 Epidemic in Ohio
The Dynamical Survival Analysis (DSA) is a framework for modeling epidemics based on mean field dynamics applied to individual (agent) level history of infection and recovery.
Dynamic Survival Analysis for non-Markovian Epidemic Models
We present a new method for analyzing stochastic epidemic models under minimal assumptions.
A Machine Learning Model for Nowcasting Epidemic Incidence
Due to delay in reporting, the daily national and statewide COVID-19 incidence counts are often unreliable and need to be estimated from recent data.
Incorporating age and delay into models for biophysical systems
We show how the limiting PDE system can be used for the purpose of further model reductions and for devising efficient simulation algorithms.
Populations and Evolution 92B05
Forecasting elections using compartmental models of infection
To shed light on this process, we develop a method for forecasting elections from the perspective of dynamical systems.
Physics and Society Social and Information Networks Dynamical Systems Adaptation and Self-Organizing Systems Populations and Evolution
