Article

COVID-19 real world data infrastructure: A big data resource for study of the impact of COVID-19 in patient populations with immunocompromising conditions

2024-09-09

Abstract excerpt

<h4>Background</h4> We created a United States-based real-world data resource to better understand the continued impact of the COVID-19 pandemic on immunocompromised patients, who are typically under-represented in prospective studies and clinical trials. <h4>Methods: </h4>: The COVID-19 Real World Data infrastructure (CRWDi) was created by linking and harmonizing deidentified HealthVerity medical and pharmacy cla...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c36b73a4-8371-5655-a0c0-623be8fce1fd
DOI: 10.1101/2024.09.08.24313270

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

COVID-19 real world data infrastructure: A big data resource for study of the impact of COVID-19 in patient populations with immunocompromising conditionsDOI 10.1101/2024.09.08.24313270Read

Establishing and characterising large COVID-19 cohorts after mapping the Information System for Research in Primary Care in Catalonia to the OMOP Common Data ModelSemantic proximity Read

Databiology Lab CORONAHACK: Collection of Public COVID-19 DataSemantic proximity Read

Establishment of the large-scale longitudinal multi-omics dataset in COVID-19 patients: data profile and biospecimenSemantic proximity Read

Scanning the Medical Phenome to Identify New Medical Diagnoses After Recovery From COVID-19 in a US CohortSemantic proximity Read

Evaluation of post-acute COVID-19 health outcomes (ECHOES) in England: The development of national surveillance system for long- term health outcomes following COVID-19Semantic proximity Read

Accuracy of Computable Phenotyping Approaches for SARS-CoV-2 Infection and COVID-19 Hospitalizations from the Electronic Health RecordSemantic proximity Read

Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness 4-19-2023Semantic proximity Read

Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort.Semantic proximity Read

Study protocol for the St James's Hospital, Tallaght University Hospital, Trinity College Dublin Allied Researchers' (STTAR) Bioresource for COVID-19Semantic proximity Read

Validation of Real-World Case Definitions for COVID-19 Diagnosis and Severe COVID-19 Illness Among Patients Infected with SARS-CoV-2: Translation of Clinical Trial Definitions to Real-World SettingsSemantic proximity Read

A global omics data sharing and analytics marketplace: Case study of a rapid data COVID-19 pandemic response platformSemantic proximity Read

Privacy-Protecting, Reliable Response Data Discovery Using COVID-19 Patient ObservationsSemantic proximity Read