Incidence of long COVID among U.S. children and adults during the omicron era - Tracking Post-COVID Conditions (Track-PCC) network, 2022-2023.

Background: Long COVID, or Post-COVID Conditions (PCC), refers to new and persisting sequelae occurring in the months following an acute SARS-CoV-2 infection. Although previous studies have reported estimates of PCC incidence, few have examined trends during the Omicron variant period or have included geographically distinct regions for the same time periods.

Methods: Track PCC is a surveillance network, leveraging electronic health records and public health data to monitor incidence over time across five diverse geographic sites in the U.

RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning.

Modern robotic manufacturing requires collision-free coordination of multiple robots to complete numerous tasks in shared, obstacle-rich workspaces. Although individual tasks may be simple in isolation, automated joint task allocation, scheduling, and motion planning under spatiotemporal constraints remain computationally intractable for classical methods at real-world scales. Existing multiarm systems deployed in industry rely on human intuition and experience to design feasible trajectories manually in a labor-intensive process.

Corrigendum to 'SCAI Expert Consensus Statement on Alternative Access for Transcatheter Aortic Valve Replacement' [Journal of the Society for Cardiovascular Angiography & Interventions 4 (2025) 102514].

[This corrects the article DOI: 10.1016/j.jscai.

Components of Family-Focused Interventions that Have Common Impacts Across Parental Domestic Violence and Abuse, Mental Ill-Health, and Substance Misuse: An Intervention Components Analysis.

Support for families experiencing domestic violence and abuse (DVA), mental ill-health (MH) and substance misuse (SU) is often delivered in siloes, despite the frequent co-occurrence of these public health issues. Little evidence-based guidance exists on which interventions best support families experiencing a combination of these problems. Identifying intervention components with common impacts across parental DVA, MH and SU could inform policy and practice.

Assessing Public Health Capacity for Infectious Disease Modeling: A Qualitative Study of State and Local Agencies.

Infectious disease modeling and forecasting tools are crucial for outbreak management. However, variability exists in the capacity of state and local health departments to effectively utilize these tools, influenced by factors such as infrastructure, funding, staff capacity, and data access. This study aims to identify the current priorities, needs, and capacities of state and local public health departments regarding infectious disease modeling and forecasting tools.