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. 2023 Mar 1;27(3):221-222.
doi: 10.5588/ijtld.22.0511.

Continuous cough monitoring: a novel digital biomarker for TB diagnosis and treatment response monitoring

S Huddart  1 , L Asege  2 , D Jaganath  1 , M Golla  3 , H Dang  4 , L Lovelina  5 , B Derendinger  6 , A Andama  7 , D J Christopher  5 , N V Nhung  8 , G Theron  6 , C M Denkinger  9 , P Nahid  1 , A Cattamanchi  1 , C Yu  3
Affiliations

Continuous cough monitoring: a novel digital biomarker for TB diagnosis and treatment response monitoring

S Huddart et al. Int J Tuberc Lung Dis. .
No abstract available

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Conflict of interest statement

Conflicts of interest: none declared.

Figures

Figure
Figure
Cough frequency trajectories by diagnosis. Local regression (LOESS) smoothing is applied to medCPH values by day within each diagnosis group. Shaded grey regions indicate LOESS confidence intervals. medCPH = median cough count per hour; LOESS = LOcally Estimated Scatterplot Smoothing.
See this image and copyright information in PMC

References

    1. The Hyfe Team Smart cough monitoring: an innovation milestone for global respiratory health. Hyfe Research Series. 2021;(1):1–6.
    1. Huddart S, et al. Feasibility and analysis considerations of continuous community-based cough monitoring in low- and middle-income settings. MedRXiv. 2022 doi: 10.1101/2022.07.06.22277224. [Published online] - DOI
    1. Proaño A, et al. Dynamics of cough frequency in adults undergoing treatment for pulmonary tuberculosis. Clin Infect Dis. 2017;64(9):1174–1181. - PMC - PubMed

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