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

Ruth Niedermeier   ¹ , Dr Med ;   Noemi Castelletti   ^{1, 2, 3} , PD, Dr rer nat ;   Andreas Bender   ^{4, 5} , PhD ;   Michael Hoelscher   ^{1, 2, 6, 7} , Prof Dr Med ;   Olena Ivanova   ^{1, 8} , Dr med, PhD

¹ Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany

² Fraunhofer Institute for Translational Medicine and Pharmacology, ITMP, Immunology, Infection and Pandemic Research, Munich, Germany

³ Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany

⁴ Department of Statistics, LMU Munich, Munich, Germany

⁵ Munich Center for Machine Learning (MCML), LMU Munich, Munich, Germany

⁶ German Centre for Infection Research (DZIF), partner site Munich, Munich, Germany

⁷ Unit Global Health, Helmholtz Center Munich, German Research Center for Environmental Health (HMGU), Neuherberg, Germany

⁸ SPHERE, NHMRC Centre of Research Excellence, Department of General Practice, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia