Interpretations of Menstrual Blood Appearance and Diagnostic Potential Among Social Media Users: Cross-Sectional Mixed Methods Social Media Listening Study.

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Title: Interpretations of Menstrual Blood Appearance and Diagnostic Potential Among Social Media Users: Cross-Sectional Mixed Methods Social Media Listening Study.
Authors: Niedermeier R; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Leopoldstrasse 5, Munich, 80802, Germany, 49 17661809275., Castelletti N; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Leopoldstrasse 5, Munich, 80802, Germany, 49 17661809275.; Fraunhofer Institute for Translational Medicine and Pharmacology, ITMP, Immunology, Infection and Pandemic Research, Munich, Germany.; Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany., Bender A; Department of Statistics, LMU Munich, Munich, Germany.; Munich Center for Machine Learning (MCML), LMU Munich, Munich, Germany., Hoelscher M; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Leopoldstrasse 5, Munich, 80802, Germany, 49 17661809275.; Fraunhofer Institute for Translational Medicine and Pharmacology, ITMP, Immunology, Infection and Pandemic Research, Munich, Germany.; German Centre for Infection Research (DZIF), partner site Munich, Munich, Germany.; Unit Global Health, Helmholtz Center Munich, German Research Center for Environmental Health (HMGU), Neuherberg, Germany., Ivanova O; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Leopoldstrasse 5, Munich, 80802, Germany, 49 17661809275.; SPHERE, NHMRC Centre of Research Excellence, Department of General Practice, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Source: Journal of medical Internet research [J Med Internet Res] 2026 May 04; Vol. 28, pp. e85550. Date of Electronic Publication: 2026 May 04.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1438-8871
DOI:10.2196/85550