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Coronaviruses and people with intellectual disability: an exploratory data analysis
J Tummers1,2, C Catal3, H Tobi4
1Information Technology Group, Wageningen University & Research, Wageningen, The Netherlands.
Journal of Intellectual Disability Research : JIDR
|April 21, 2020
Summary
The COVID-19 Open Research Dataset (CORD-19) can help researchers study the virus and its impact on individuals with intellectual and developmental disabilities (ID). Text mining of CORD-19 revealed key topics related to ID care.
Area of Science:
- Medical Informatics
- Public Health
- Genetics
Background:
- The COVID-19 pandemic significantly impacts global health.
- The COVID-19 Open Research Dataset (CORD-19) provides a valuable resource for researchers.
- Understanding the intersection of COVID-19 and intellectual and developmental disabilities (ID) is crucial.
Purpose of the Study:
- To assess the utility of the CORD-19 dataset for investigating COVID-19's impact on individuals with ID.
- To identify research trends and knowledge gaps concerning COVID-19 and ID.
Main Methods:
- Text mining techniques, including term frequency-inverse document frequency (TF-IDF) analysis.
- K-means clustering was applied to full-text articles from CORD-19.
- Identification of articles relevant to intellectual and developmental disabilities (ID) care.
Main Results:
- 259 articles related to ID care were identified within the CORD-19 dataset.
- Articles were clustered into five key topics: mental health, viral diseases, diagnoses and treatments, maternal care and paediatrics, and genetics.
- The dataset contains information on COVID-19, ID, and their relationship.
Conclusions:
- The CORD-19 dataset is a valuable resource for studying COVID-19 and its implications for individuals with ID.
- Further research using literature-based discovery approaches on CORD-19 is recommended.
- Development of a specialized dataset focusing on the intersection of COVID-19 and ID is suggested for future research.
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