2026-10-10T13:02:18Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34048454 2026-10-01T17:33:37Z category_7 category_21 category_734 category_64 category_106 category_132 portal_5 item_type_1 month_year_10_2026

<p>Associations between Hyfe app recorded cough frequency and participant-recorded or observed indicators.</p> Patrick Biché (21723990) Francis Kayondo (21723996) Annet Nalutaaya (568860) James Mukiibi (7037513) Mariam Nantale (8534604) Joowhan Sung (21723993) David W. Dowdy (8964830) Achilles Katamba (322133) Emily A. Kendall (8964824) Medicine Biotechnology Biological Sciences not elsewhere classified Cancer Science Policy Infectious Diseases xlink "> symptom respiratory questionnaire scores inverse probability weighting hyfe research app adults (&# 8805 68 %), respectively 60 &# 8211 58 &# 8211 side implementation challenges meet accuracy thresholds recorded cough frequency median cough frequency cough monitoring tools 96 facility ). 9 &# 8211 884 enrolled participants 8 &# 8211 reported cough severity 6 &# 8211 4 &# 8211 cough frequency cough monitoring reported cough implementation feasibility diagnostic accuracy xpert mtb valid recordings tuberculosis screening study assessed security concerns rif ultra observed coughs objective alternative higher among future development explored provider differential enrollment analyzed thematically alone screening 48 hours 15 years <p>Each plot includes estimated regression lines with 95% confidence intervals. Green points and lines represent community participants; orange represents health facility participants. Spearman correlation coefficients (ρ) and p-values are provided for each group. SGRQ: Saint George’s Respiratory Questionnaire.</p> 2026-10-01T17:33:31Z Image Figure 10.1371/journal.pgph.0005201.g003 https://figshare.com/articles/figure/_p_Associations_between_Hyfe_app_recorded_cough_frequency_and_participant-recorded_or_observed_indicators_p_/34048454 CC BY 4.0