Interpreting time-series analyses for continuous-time biological models -- measles as a case study

DOI10.1016/S0022-5193(03)00031-6zbMath1464.92243WikidataQ47867158 ScholiaQ47867158MaRDI QIDQ2177243

Kathryn Glass, Yingcun Xia, Bryan T. Grenfell

Publication date: 6 May 2020

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

zbMATH Keywords

population dynamicsmeaslesepidemiological modelstime-series analysis

Mathematics Subject Classification ID

Epidemiology (92D30) Population dynamics (general) (92D25)

Related Items (3)

Structured models of infectious disease: inference with discrete data ⋮ Reconstruction of systems with impulses and delays from time series data ⋮ Estimation and inference of \(R_0\) of an infectious pathogen by a removal method

Cites Work

• Deterministic and stochastic models for the seasonal variability of measles transmission
• Time Series Modelling of Childhood Diseases: A Dynamical Systems Approach
• Seasonally forced disease dynamics explored as switching between attractors
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