A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy

DOI10.1007/S10260-021-00617-YOpenAlexW3143019769MaRDI QIDQ2082484

Luca Scrucca

Publication date: 4 October 2022

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2104.01344

zbMATH Keywords

COVINDEXGAM beta regressionpandemic surveillancepublic-health decision-making

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Introduction to the special issue on Data Science for COVID-19 ⋮ Optimal two-stage spatial sampling design for estimating critical parameters of SARS-CoV-2 epidemic: efficiency versus feasibility

Uses Software

• Unnamed Item
• mgcv
• gamair
• betareg
• GitHub
• EpiEstim

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Beta Regression for Modelling Rates and Proportions
• Inflated beta distributions
• Inference and computation with generalized additive models and their extensions
• Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
• Thin Plate Regression Splines
• An ensemble approach to short‐term forecast of COVID‐19 intensive care occupancy in Italian regions

This page was built for publication: A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy