Applies Koopman operator with EDMD and tailored dictionary to an SIRSD model to identify dominant modes and predict outbreak peaks from synthetic data across four diseases.
Ebola virus disease outbreak, West Africa, october 2014; https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6343a3.htm, Accessed on: August 18, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.DS 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Koopman Operator Framework for Nonlinear Epidemic Dynamics: Application to an SIRSD Model
Applies Koopman operator with EDMD and tailored dictionary to an SIRSD model to identify dominant modes and predict outbreak peaks from synthetic data across four diseases.