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Found 5 papers, 4 papers with code
Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation
One way to reduce the computational cost of simulating epidemics on these networks is sparsification, where a representative subset of edges is selected based on some measure of their importance.
Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2
SARS-CoV-2 causing COVID-19 disease has moved rapidly around the globe, infecting millions and killing hundreds of thousands.
Beyond $R_0$: Heterogeneity in secondary infections and probabilistic epidemic forecasting
Lastly, we demonstrate that without data on the heterogeneity in secondary infections for emerging infectious diseases like COVID-19, the uncertainty in outbreak size ranges dramatically.
Populations and Evolution Applied Physics Physics and Society
Interacting contagions are indistinguishable from social reinforcement
From fake news to innovative technologies, many contagions spread via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single source.
Physics and Society Dynamical Systems Populations and Evolution
On the predictability of infectious disease outbreaks
As a result, predicting when, where, and how far diseases will spread requires a complex systems approach to modeling.
Physics and Society Populations and Evolution
