Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios

DOI10.1080/02664763.2021.1941806arXiv2004.05272MaRDI QIDQ6078151

Claire Donnat, Susan P. Holmes

Publication date: 27 September 2023

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

Full work available at URL: https://arxiv.org/abs/2004.05272

zbMATH Keywords

Bayesian statisticsprobabilistic modelsCOVID-19

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Cites Work

• The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
• The Mathematics of Infectious Diseases
• Heterogeneous social interactions and the COVID-19 lockdown outcome in a multi-group SEIR model
• Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study
• Unnamed Item

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