Global prevalence of post-COVID-19 condition: a systematic review and meta-analysis of prospective evidence.

This corrigendum is being published to correct a number of errors and imprecisions, on pages 113, 120-125 and 138, of the following article: Taher MK, Salzman T, Banal A, Morissette K, Domingo FR, Cheung AM, Cooper CL, Boland L, Zuckermann AM, Mullah MA, Laprise C, Colonna R, Hashi A, Rahman P, Collins E, Corrin T, Waddell LA, Pagaduan JE, Ahmad R, Jaramillo Garcia AP. Global prevalence of post-COVID-19 condition: a systematic review and meta-analysis of prospective evidence. Health Promot Chronic Dis Prev Can.

Global prevalence of post-COVID-19 condition: a systematic review and meta-analysis of prospective evidence.

Introduction: We investigated the prevalence of new or persistent manifestations experienced by COVID-19 survivors at 3 or more months after their initial infection, collectively known as post-COVID-19 condition (PCC).

Methods: We searched four electronic databases and major grey literature resources for prospective studies, systematic reviews, authoritative reports and population surveys. A random-effects meta-analysis pooled the prevalence data of 22 symptoms and outcomes.

Impact of acute stress on psychomotor bimanual performance during a simulated tumor resection task.

OBJECTIVE Severe bleeding during neurosurgical operations can result in acute stress affecting the bimanual psychomotor performance of the operator, leading to surgical error and an adverse patient outcome. Objective methods to assess the influence of acute stress on neurosurgical bimanual psychomotor performance have not been developed. Virtual reality simulators, such as NeuroTouch, allow the testing of acute stress on psychomotor performance in risk-free environments.

Effect of Smoothing in Generalized Linear Mixed Models on the Estimation of Covariance Parameters for Longitudinal Data.

Besides being mainly used for analyzing clustered or longitudinal data, generalized linear mixed models can also be used for smoothing via restricting changes in the fit at the knots in regression splines. The resulting models are usually called semiparametric mixed models (SPMMs). We investigate the effect of smoothing using SPMMs on the correlation and variance parameter estimates for serially correlated longitudinal normal, Poisson and binary data.

Assessing bimanual performance in brain tumor resection with NeuroTouch, a virtual reality simulator.

Background: Validated procedures to objectively measure neurosurgical bimanual psychomotor skills are unavailable. The NeuroTouch simulator provides metrics to determine bimanual performance, but validation is essential before implementation of this platform into neurosurgical training, assessment, and curriculum development.

Objective: To develop, evaluate, and validate neurosurgical bimanual performance metrics for resection of simulated brain tumors with NeuroTouch.