The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Taking connected mobile-health diagnostics of infectious diseases to the field
Open accessAbstract
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.
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Cites
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Self-citationDiagnostic point-of-care tests in resource-limited settings
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Cited by
Diagnosing COVID-19: The Disease and Tools for Detection
Udugama, B., Kadhiresan, P., Kozlowski, H. N., Malekjahani, A., Osborne, M., Li, V. Y. C., Chen, H., Mubareka, S., Gubbay, J. B., & Chan, W. C. W. (2020) · ACS Nano · doi:10.1021/acsnano.0c02624 · Cited by 1,754
Digital technologies in the public-health response to COVID-19
Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1011-4 · Cited by 1,195
Self-citationAmplification-free detection of SARS-CoV-2 with CRISPR-Cas13a and mobile phone microscopy
Fozouni, P., Son, S., Díaz de León Derby, M., Knott, G. J., Gray, C. N., D’Ambrosio, M. V., Zhao, C., Switz, N. A., Kumar, G. R., Stephens, S. I., et al. (2021) · Cell · doi:10.1016/j.cell.2020.12.001 · Cited by 1,047
Point-of-care diagnostics for infectious diseases: From methods to devices
Wang, C., Liu, M., Wang, Z., Li, S., Deng, Y., & He, N. (2021) · Nano Today · doi:10.1016/j.nantod.2021.101092 · Cited by 622
Pham, Q.-V., Nguyen, D. C., Huynh-The, T., Hwang, W.-J., & Pathirana, P. N. (2020) · IEEE Access · doi:10.1109/access.2020.3009328 · Cited by 413
“Despite many potentials, a number of challenges need to be addressed for the success of AI-based mHealth [128].”
Background
Metadata
- Authors
- Wood, C. S., Thomas, M. R., Budd, J., Mashamba-Thompson, T. P., Herbst, K., Pillay, D., Peeling, R. W., Johnson, A. M., McKendry, R. A., & Stevens, M. M.
- Venue
- Nature
- Published
- 2019-02
- Volume
- 566
- Issue
- 7745
- Pages
- 467-474
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2915410268
- Cited by
- 323
- References
- 78
- FWCI
- 68.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Taking connected mobile-health diagnostics of infectious diseases to the field. https://app.cochat.ai/papers/10.1038/s41586-019-0956-2
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- Wood, C. S., Thomas, M. R., Budd, J., Mashamba-Thompson, T. P., Herbst, K., Pillay, D., Peeling, R. W., Johnson, A. M., McKendry, R. A., & Stevens, M. M. (2019). Taking connected mobile-health diagnostics of infectious diseases to the field. Nature. https://doi.org/10.1038/s41586-019-0956-2
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
