Methods for detecting probable COVID-19 cases from large-scale survey data also reveal probable sex differences in symptom profiles
Abstract
Daily symptom reporting collected via web-based symptom survey tools holds the potential to improve disease monitoring. Such screening tools might be able to not only discriminate between states of acute illness and non-illness, but also make use of additional demographic information so as to identify how illnesses may differ across groups, such as biological sex. These capabilities may play an important role in the context of future disease outbreaks.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 10, 2022
- Source ID
- 10.3389/fdata.2022.1043704
Entities
People
- Amit Klein
- Anoushka Chowdhary
- Ashley E. Mason
- Benjamin L. Smarr
- Claudine Anglo
- Frederick M. Hecht
- Karena Puldon
- Leena S. Pandya
- Stephan Dilchert
- Wendy Hartogensis
Organizations
- United States Army Medical Research and Development Command