activity
20182026
collaborators

5 papers

cs.AI2026

Beyond Single-Pathogen Forecasts: Predicting Shared Respiratory Hospital Burden from Influenza, COVID-19, and RSV

Gaurob Saha, MinJae Woo, Lior Rennert

Co-circulating influenza, COVID-19, and respiratory syncytial virus (RSV) create a shared hospital-admission burden, because beds, staff, testing capacity, and respiratory support…

stat.CO2026

CCMnet: A Software Package for Network Generation with Congruence Class Models

Ravi Goyal, Victor De Gruttola, Natasha K. Martin +2

We introduce CCMnet, an R package designed to generate network ensembles that accurately reflect the uncertainty inherent in empirical data. While traditional network modeling ofte…

stat.AP2026

Early warning of Mpox outbreaks in U.S. jurisdictions using Lasso Vector Autoregression models with cross-jurisdictional lags

Hannah Craddock, Joel O. Wertheim, Eliah Aronoff-Spencer +8

Mpox is an orthopoxvirus that infects humans and animals and is transmitted primarily through close physical contact. The episodic and spatially heterogeneous dynamics of Mpox tran…

cs.SI2024

Enhancing structural resilience in healthcare through patient flow network

Lu Zhong, Lior Rennert, Sen Pei +1

Large-scale disasters, such as pandemics and climate-related events, place extraordinary pressure on healthcare providers due to extreme demand surges. Managing these surges is ess…

stat.ME2018

Cox Regression Model Under Dependent Truncation

Lior Rennert, Sharon X. Xie

Truncation is a statistical phenomenon that occurs in many time to event studies. For example, autopsy-confirmed studies of neurodegenerative diseases are subject to an inherent le…