Objectives Missing data is a common problem during the development, evaluation, and
implementation of prediction models. Although machine learning (ML) methods are often …

Reliable and complete data held in disaster databases are imperative to inform effective
disaster preparedness and mitigation policies. Nonetheless, disaster databases are highly …

Health economic evaluations are comparative analyses of alternative courses of action in
terms of their costs and consequences. The Consolidated Health Economic Evaluation …

Background We describe post-COVID symptomatology in a non-hospitalised, national
sample of adolescents aged 11–17 years with PCR-confirmed SARS-CoV-2 infection …

Importance Pulse oximetry (SpO 2) is routinely used for transcutaneous monitoring of blood
oxygenation, but it can overestimate actual oxygenation. This is more common in patients of …

Background Cardiorespiratory fitness (CRF) is inversely associated with all-cause mortality.
However, the association of CRF and mortality risk for different races, women, and elderly …

Importance Little is known about the risk factors for, and the risk of, developing post–COVID-
19 conditions (PCCs) among children. Objectives To estimate the proportion of SARS-CoV-2 …

Importance SARS-CoV-2, which causes COVID-19, poses considerable morbidity and
mortality risks. Studies using data collected during routine clinical practice can supplement …

Objective To document the detailed characteristics including severity, type, and locations of
rheumatic and musculoskeletal symptoms along with other COVID-19 persistent symptoms …

This article provides new reflections and recommendations from authors of the initial
effectiveness-implementation hybrid study manuscript and additional experts in their …