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Taking connected mobile-health diagnostics of infectious diseases to the field

Author

Listed:
  • Christopher S. Wood

    (Imperial College London
    Imperial College London
    Imperial College London
    Karolinska Institutet)

  • Michael R. Thomas

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Jobie Budd

    (University College London)

  • Tivani P. Mashamba-Thompson

    (University of KwaZulu-Natal)

  • Kobus Herbst

    (Durban)

  • Deenan Pillay

    (Durban
    University College London)

  • Rosanna W. Peeling

    (London School of Hygiene and Tropical Medicine)

  • Anne M. Johnson

    (University College London)

  • Rachel A. McKendry

    (University College London)

  • Molly M. Stevens

    (Imperial College London
    Imperial College London
    Imperial College London
    Karolinska Institutet)

Abstract

Mobile health, or ‘mHealth’, is the application of mobile devices, their components and related technologies to healthcare. It is already improving patients’ access to treatment and advice. Now, in combination with internet-connected diagnostic devices, it offers novel ways to diagnose, track and control infectious diseases and to improve the efficiency of the health system. Here we examine the promise of these technologies and discuss the challenges in realizing their potential to increase patients’ access to testing, aid in their treatment and improve the capability of public health authorities to monitor outbreaks, implement response strategies and assess the impact of interventions across the world.

Suggested Citation

  • Christopher S. Wood & Michael R. Thomas & Jobie Budd & Tivani P. Mashamba-Thompson & Kobus Herbst & Deenan Pillay & Rosanna W. Peeling & Anne M. Johnson & Rachel A. McKendry & Molly M. Stevens, 2019. "Taking connected mobile-health diagnostics of infectious diseases to the field," Nature, Nature, vol. 566(7745), pages 467-474, February.
    • Handle: RePEc:nat:nature:v:566:y:2019:i:7745:d:10.1038_s41586-019-0956-2
    DOI: 10.1038/s41586-019-0956-2
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    Cited by:

    1. Bangfeng Wang & Yiwei Li & Mengfan Zhou & Yulong Han & Mingyu Zhang & Zhaolong Gao & Zetai Liu & Peng Chen & Wei Du & Xingcai Zhang & Xiaojun Feng & Bi-Feng Liu, 2023. "Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    2. Evan Rosevear & Michael Trebilcock & Mariana Mota Prado, 2021. "The New Progressivism and its implications for institutional theories of development," Development Policy Review, Overseas Development Institute, vol. 39(4), pages 644-664, July.
    3. Fuyong Lu & Xian Huang & Xintao Wang, 2022. "Willingness to Pay for Mobile Health Live Streaming during the COVID-19 Pandemic: Integrating TPB with Compatibility," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    4. Yuqian Guo & Yaofeng Zhou & Hong Duan & Derong Xu & Min Wei & Yuhao Wu & Ying Xiong & Xirui Chen & Siyuan Wang & Daofeng Liu & Xiaolin Huang & Hongbo Xin & Yonghua Xiong & Ben Zhong Tang, 2024. "CRISPR/Cas-mediated “one to more” lighting-up nucleic acid detection using aggregation-induced emission luminogens," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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