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Citing this Article

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Published on 13.05.16 in Vol 4, No 2 (2016): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5022):

(note that this is only a small subset of citations)

  1. Gashu KD, Gelaye KA, Mekonnen ZA, Lester R, Tilahun B. Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis. BMC Infectious Diseases 2020;20(1)
    CrossRef
  2. Keutzer L, Wicha SG, Simonsson US. Mobile Health Apps for Improvement of Tuberculosis Treatment: Descriptive Review. JMIR mHealth and uHealth 2020;8(4):e17246
    CrossRef
  3. Karagöz R, Aslan FG, Altındiş S, İnci MB, Hatipoğlu H, Altındiş M. BİRİNCİ BASAMAKTA ÇALIŞAN HEKİMLERİN TÜBERKÜLOZ (TB) TANI VE TEDAVİSİNDE YAKLAŞIMLARININ VE BİLGİ DÜZEYİNİN DEĞERLENDİRİLMESİ. Online Türk Sağlık Bilimleri Dergisi 2017;
    CrossRef
  4. Shivalli S, Hondappagol A, Akshaya KM, Nirgude A, Varun N, Reddy RHR, Sharath BN. Does mobile phone instructional video demonstrating sputum expectoration improve the sputum sample quality and quantity in presumptive pulmonary TB cases? Protocol for a prospective pragmatic non-randomised controlled trial in Karnataka state, India. BMJ Open 2020;10(3):e032991
    CrossRef
  5. Nouri R, R Niakan Kalhori S, Ghazisaeedi M, Marchand G, Yasini M. Criteria for assessing the quality of mHealth apps: a systematic review. Journal of the American Medical Informatics Association 2018;25(8):1089
    CrossRef
  6. Chopra K, Arora V. TB care in Private Sector: Much more needed. Indian Journal of Tuberculosis 2016;63(4):217
    CrossRef
  7. Nguyen LH, Tran BX, Rocha LEC, Nguyen HLT, Yang C, Latkin CA, Thorson A, Strömdahl S. A Systematic Review of eHealth Interventions Addressing HIV/STI Prevention Among Men Who Have Sex With Men. AIDS and Behavior 2019;23(9):2253
    CrossRef
  8. dos Santos LRA, Anselmo LMP, Oliveira LS, Merli FS, Silva CC, Prado GCS, Crepaldi NY, Bernardi FA, Marçal MA, R-Netto A, Rijo RPCL, Bollela VR, Alves D. TBM-App: a clinical decision support system for tuberculous meningitis. Procedia Computer Science 2019;164:565
    CrossRef
  9. Park H, Lee S. International Nursing. Nursing Administration Quarterly 2019;43(4):337
    CrossRef
  10. Iribarren SJ, Rodriguez Y, Lin L, Chirico C, Discacciati V, Schnall R, Demiris G. Converting and expanding a mobile support intervention: Focus group and field-testing findings from individuals in active tuberculosis treatment. International Journal of Medical Informatics 2020;136:104057
    CrossRef
  11. Iribarren SJ, Wallingford J, Schnall R, Demiris G. Converting and expanding mobile support tools for tuberculosis treatment support: Design recommendations from domain and design experts. Journal of Biomedical Informatics: X 2020;5:100066
    CrossRef
  12. Kumar AA, De Costa A, Das A, Srinivasa G, D'Souza G, Rodrigues R. Mobile Health for Tuberculosis Management in South India: Is Video-Based Directly Observed Treatment an Acceptable Alternative?. JMIR mHealth and uHealth 2019;7(4):e11687
    CrossRef
  13. Lee Y, Raviglione MC, Flahault A. Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review. Journal of Medical Internet Research 2020;22(2):e15727
    CrossRef
  14. Udugama B, Kadhiresan P, Kozlowski HN, Malekjahani A, Osborne M, Li VYC, Chen H, Mubareka S, Gubbay JB, Chan WCW. Diagnosing COVID-19: The Disease and Tools for Detection. ACS Nano 2020;14(4):3822
    CrossRef
  15. Laskar P, Yallapu MM, Chauhan SC. “Tomorrow Never Dies”: Recent Advances in Diagnosis, Treatment, and Prevention Modalities against Coronavirus (COVID-19) amid Controversies. Diseases 2020;8(3):30
    CrossRef
  16. Heynsbergh N, O SC, Livingston PM. Assessment of Data Usage of Cancer e-Interventions (ADUCI) Framework for Health App Use of Cancer Patients and Their Caregivers: Framework Development Study. JMIR Cancer 2020;6(2):e18230
    CrossRef
  17. Moulahoum H, Ghorbanizamani F, Zihnioglu F, Turhan K, Timur S. How should diagnostic kits development adapt quickly in COVID 19-like pandemic models? Pros and cons of sensory platforms used in COVID-19 sensing. Talanta 2021;222:121534
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.5022):

  1. Monteiro AB, Millão LF, de Castro MS, Cazella SC, Caregnato RCA, Viegas K. Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence. 2019. Chapter 28:239
    CrossRef
  2. Seneviratne M, Peiris D. Revolutionizing Tropical Medicine. 2019. :566
    CrossRef