activity
20202026
most citedReal-time forecasts of the 2019-nCoV epidemic in China from February 5th to February 24th, 2020

13 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Functional regression with multivariate responses

Ruiyan Luo, Xin Qi

We consider the functional regression model with multivariate response and functional predictors. Compared to fitting each individual response variable separately, taking advantage…

stat.AP2025

COVID-19 Forecasting from U.S. Wastewater Surveillance Data: A Retrospective Multi-Model Study (2022-2024)

Faharudeen Alhassan, Hamed Karami, Amanda Bleichrodt +4

Accurate and reliable forecasting models are critical for guiding public health responses and policy decisions during pandemics such as COVID-19. Retrospective evaluation of model…

q-bio.QM2025

Comparative study of Bayesian and Frequentist methods for epidemic forecasting: Insights from simulated and historical data

Hamed Karami, Ruiyan Luo, Pejman Sanaei +1

Accurate epidemic forecasting is critical for effective public health interventions. This study compares Bayesian and Frequentist estimation frameworks within deterministic compart…

q-bio.QM2024

BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations

Hamed Karami, Amanda Bleichrodt, Ruiyan Luo +1

Background: Mathematical models based on ordinary differential equations (ODEs) are essential tools across various scientific disciplines, including biology, ecology, and healthcar…

q-bio.PE2020★ 13 cited

Real-time forecasts of the 2019-nCoV epidemic in China from February 5th to February 24th, 2020

K. Roosa, Y. Lee, R. Luo +5

The initial cluster of severe pneumonia cases that triggered the 2019-nCoV epidemic was identified in Wuhan, China in December 2019. While early cases of the disease were linked to…