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Patient level dataset to study the effect of COVID-19 in people with Multiple Sclerosis

Hamza Khan1,2,3,4, Lotte Geys1,2,3, Peer Baneke5

  • 1University MS Center (UMSC), Hasselt, Pelt, Belgium.

Scientific Data
|January 31, 2024
PubMed

Insights

This study addresses concerns about COVID-19 in people with Multiple Sclerosis (MS) by releasing a dataset. This data aids understanding of COVID-19 impacts and informs educational efforts on data science in MS research.

Area of Science:

  • Neurology
  • Infectious Diseases
  • Data Science

Background:

  • Multiple Sclerosis (MS) is an autoimmune disease increasing infection risk in young adults.
  • Concerns exist regarding COVID-19 interactions with MS disease-modifying therapies.
  • The COVID-19 in MS Global Data Sharing Initiative (GDSI) was established to address these concerns.

Purpose of the Study:

  • To anonymize and release a sub-dataset from the GDSI.
  • To provide data for statistical analysis on COVID-19 in MS patients.
  • To support educational activities on data science within MS research.

Main Methods:

  • Data anonymization techniques applied to GDSI sub-dataset.
  • Public release of a dataset containing PwMS demographics, comorbidities, and COVID-19 information.
  • Utilized a fast data entry tool for data collection.

Main Results:

  • A comprehensive dataset on COVID-19 in people with MS (PwMS) is now publicly available.
  • The dataset facilitates research into COVID-19's effects on PwMS.
  • The data supports educational initiatives in data science for MS.

Conclusions:

  • The released GDSI dataset is a valuable resource for understanding COVID-19 in MS.
  • This initiative enhances research capabilities and data science education in the MS community.
  • Publicly sharing data promotes transparency and collaborative research in neuro-immunology.

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