An endemic–epidemic beta model for time series of infectious disease proportions

DOI10.1080/02664763.2021.1962264OpenAlexW3189487785MaRDI QIDQ5044690

Junyi Lu, Sebastian Meyer

Publication date: 2 November 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1962264

zbMATH Keywords

seasonalitymultivariate time seriesepidemic modellingbeta regressioninfluenza-like illness

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• Unnamed Item
• forecast
• gcmr
• Forecast
• betareg
• cdcfluview
• logitnorm

Cites Work

• Unnamed Item
• Power-law models for infectious disease spread
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• A general class of zero-or-one inflated beta regression models
• Beta autoregressive moving average models
• To explain or to predict?
• Improved estimators for a general class of beta regression models
• Coherent dispersion criteria for optimal experimental design
• Beta regression for time series analysis of bounded data, with application to Canada Google\(^{\circledR}\) Flu Trends
• Modeling seasonality in space-time infectious disease surveillance data
• A statistical framework for the analysis of multivariate infectious disease surveillance counts
• Regression and time series model selection in small samples
• A beta inflated mean regression model for fractional response variables
• Probabilistic Forecasts, Calibration and Sharpness
• Geometric approach to statistical analysis on the simplex

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