OpenAlex | Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model

Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model

Work

Year: 2021

Type: article

Source: Journal of the Royal Statistical Society Series B (Statistical Methodology)

Authors Feiyu Jiang, Zifeng Zhao, Xiaofeng Shao

Institutions Fudan University, University of Notre Dame, University of Illinois Urbana-Champaign

Cites: 41

Cited by: 17

Related to: 10

FWCI: 1.334

Citation percentile (by year/subfield): 55.27

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

Sustainable Development Goal Good health and well-being

Open Access status: closed

Funders National Science Foundation, National Science Foundation, National Science Foundation, China Scholarship Council

Grant IDS DMS-20-14018, DMS-18-07032, DMS-20-14053, 201906210093