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The Observational Health Data Sciences and Informatics (OHDSI) international community is hosting a COVID-19 virtual study-a-thon this week (March 26-29) to inform healthcare decision-making in response to the current global pandemic. The preliminary research results on this web-based application are from a retrospective, real-world, observational study in support of this activity and will subsequently be submitted to a peer-reviewed, scientific journal. During manuscript development and the subsequent review period, these results are considered under embargo and should not be disclosed without explicit permission and consent from the authors. | ||
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Development Status: | ||
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Below is the abstract of the manuscript that summarizes the findings: | ||
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Background: | ||
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Methods: | ||
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Results: | ||
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Discussion: | ||
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Below are links for study-related artifacts that have been made available as part of this study: | ||
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**Protocol:** [link](https://github.com/ohdsi-studies/Covid19PredictionStudies/blob/master/SevereInHospitalizedPatients/docs/PLP_protocol_Q3_20200329.docx) | ||
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### Packages ### | ||
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- OHDSI simple model validation: [link](https://github.com/ohdsi-studies/Covid19PredictionStudies/tree/master/CovidSimpleModels) | ||
- Existing model validation: [link](https://github.com/ohdsi-studies/Covid19PredictionStudies/tree/master/CovidVulnerabilityIndex) |