Resumen
Datos solicitados: Datos sobre cantidad y tipo de casos pediátricos de COVID-19
Objetivo del proyecto: Desarrollo de modelos para predecir necesidades asistenciales en pediatría (plantilla)
Requester
Name: Aditi Rangarajan
Institution: Lurie Children’s Hospital of Chicago (Illinois, USA)
Description of project:
The aim of using this data is to model cases and how hospital resources can be used for further analysis with COVID-19. Using this data, the aim of the project is to model the impact of healthcare practices on paediatric cases of COVID-19.
Terms of collaboration:
Besides the transfer of data, the requester would like to collaborate and/or get advice from the data provider.
Detailed description of data:
Reports from institutions, ideally places with a high number of COVID cases would be good. Any raw data from hospitals regarding pediatric patient admissions, the length of stay/discharge date, whether they get tested and possibly the result. Also healthcare worker policies, including physical distancing and modifications of practice protocol.
Protocol:
Information will be de-identified and randomized
Status of ethical approval:
The requester will receive anonymized data and does not require ethical approval from his institution.
Nota: En caso necesario, Crowdfight COVID-19 puede proporcionar ayuda para el procesamiento, preparación o envío de los datos. Esto incluye asesoramiento técnico, apoyo de expertos en bases de datos, o voluntarios que realicen tareas manuales (organización de datos, etc.).