Publications by authors named "Joshua Bauermeister"
Data discovery, the ability to find datasets relevant to an analysis, increases scientific opportunity, improves rigour and accelerates activity. Rapid growth in the depth, breadth, quantity and availability of data provides unprecedented opportunities and challenges for data discovery. A potential tool for increasing the efficiency of data discovery, particularly across multiple datasets is data harmonisation.
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- Research-ready data enhances the rigor and opportunities in scientific research by creating a unified data environment, particularly valuable for analyses involving multiple cohorts.
- The C-Surv model was developed through stakeholder feedback and is designed with a structured approach based on 18 relevant data themes, using standard naming conventions for variables in longitudinal studies.
- Implementing this common data model provides significant advantages, as shown by reduced data preparation times compared to specific cohort models, and aids in the efficient discovery and analysis of research data.
Trajectories of common mental disorders symptoms before and during the COVID-19 pandemic: findings from the ELSA-Brasil COVID-19 Mental Health Cohort.
Soc Psychiatry Psychiatr Epidemiol
December 2022
Aim: Evidence indicates most people were resilient to the impact of the COVID-19 pandemic on mental health. However, evidence also suggests the pandemic effect on mental health may be heterogeneous. Therefore, we aimed to identify groups of trajectories of common mental disorders' (CMD) symptoms assessed before (2017-19) and during the COVID-19 pandemic (2020-2021), and to investigate predictors of trajectories.
View Article and Find Full Text PDFBackground: Rates of depression have increased worldwide during the COVID-19 pandemic. One known protective factor for depression is social support, but more work is needed to quantify the extent to which social support could reduce depression risk during a global crisis, and specifically to identify which types of support are most helpful, and who might benefit most.
Methods: Data were obtained from participants in the Research Program who responded to the COVID-19 Participant Experience (COPE) survey administered monthly from May 2020 to July 2020 (N=69,066, 66% female).
The Dementias Platform UK Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts. The Data Portal is an end-to-end data management solution providing a secure, fully auditable, remote access environment for the analysis of cohort data. All projects utilising the data are by default collaborations with the cohort research teams generating the data.
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