Project Sc(y)lla Estimation: SARS-Cov-2 Large-scale Longitudinal Analyses on the comparative safety and effectiveness of treatments under evaluation for COVID-19 across an international observational data network
- Analytics use case(s): Population-Level Estimation
- Study type: Clinical Application
- Tags: OHDSI, Study-a-thon, COVID-19
- Study lead: George Hripcsak, Daniel Prieto-Alhambra, Patrick Ryan, Peter Rijnbeck, Marc Suchard
- Study lead forums tag: Daniel_Prieto
- Study start date: TBD
- Study end date: TBD
- Protocol: PDF
- Publications: -
- Results explorer: https://data.ohdsi.org/ScyllaEstimation/
Objectives: The aim of this study is to the comparative effectiveness and safety of all emerging drug therapies used in COVID-19 treatment.
Specifically, the study has the following objectives:
1) To assess comparative effectiveness and safety among treatments administered during hospitalization and prior to intensive services, and 2) To assess comparative effectiveness and safety among treatments administered after COVID-19 positive testing or diagnosis in outpatient setting without prior hospitalization
Package Usage
The following will guide you through the package setup and execution process:
- Study package setup: Guides you through the steps to install the study package.
- Study execution: Guides you through the steps to execute the study package.
Development status
Ready for use