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Peer-reviewedCC BY-NC-ND 4.0BMC Medicine

Assessing the impact of additional inclusion criteria on the representativeness of EHR-based long COVID cohorts identified using U09.9

  • Charisse Madlock-Brown
  • Brenda M. McGrath
  • Kenneth J. Wilkins
  • Jaime Seltzer
  • Alison R. Anderson
  • Anjali Sharathkumar
  • Hannah Davis
  • Nicole Weiskopf
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{madlockbrown2026assessing,
  title = {{Assessing the impact of additional inclusion criteria on the representativeness of EHR-based long COVID cohorts identified using U09.9}},
  author = {Charisse Madlock-Brown and Brenda M. McGrath and Kenneth J. Wilkins and Jaime Seltzer and Alison R. Anderson and Anjali Sharathkumar and Hannah Davis and Nicole Weiskopf},
  journal = {BMC Medicine},
  year = {2026},
  month = oct,
  doi = {10.1186/s12916-026-05326-5},
  url = {https://link.springer.com/article/10.1186/s12916-026-05326-5},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Assessing the impact of additional inclusion criteria on the representativeness of EHR-based long COVID cohorts identified using U09.9
AU  - Charisse Madlock-Brown
AU  - Brenda M. McGrath
AU  - Kenneth J. Wilkins
AU  - Jaime Seltzer
AU  - Alison R. Anderson
AU  - Anjali Sharathkumar
AU  - Hannah Davis
AU  - Nicole Weiskopf
PY  - 2026
DA  - 2026/10/27
JO  - BMC Medicine
DO  - 10.1186/s12916-026-05326-5
UR  - https://link.springer.com/article/10.1186/s12916-026-05326-5
SN  - 1741-7015
ER  -