Privacy and Security in Mobile Health (mHealth) Research
Open accessAbstract
Research on the use of mobile technologies for alcohol use problems is a developing field. Rapid technological advances in mobile health (or mHealth) research generate both opportunities and challenges, including how to create scalable systems capable of collecting unprecedented amounts of data and conducting interventions-some in real time-while at the same time protecting the privacy and safety of research participants. Although the research literature in this area is sparse, lessons can be borrowed from other communities, such as cybersecurity or Internet security, which offer many techniques to reduce the potential risk of data breaches or tampering in mHealth. More research into measures to minimize risk to privacy and security effectively in mHealth is needed. Even so, progress in mHealth research should not stop while the field waits for perfect solutions.
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Applications may record a substantial amount of data on the individual, such as visited environments recorded through geo-location.
“applications may record a substantial amount of data on the individual [e.g., visited environments that have been recorded through geo-location system (118)].”
From Mobile intervention for individuals with psychosis, dual disorders, and their common comorbidities: A literature review (2019) · cites this paper as [118]
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Lester, R. T., Ritvo, P., Mills, E. J., Kariri, A., Karanja, S., Chung, M. H., Jack, W., Habyarimana, J., Sadatsafavi, M., Najafzadeh, M., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)61997-6 · Cited by 1,278 · see citing works
mHealth Data Security: The Need for HIPAA-Compliant Standardization
Luxton, D. D., Kayl, R. A., & Mishkind, M. C. (2012) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2011.0180 · Cited by 169 · see citing works
Computer security impaired by legitimate users
Besnard, D., & Arief, B. (2004) · Computers & Security · doi:10.1016/j.cose.2003.09.002 · Cited by 152 · see citing works
Estrin, D. L. (2014) · Communications of the ACM · doi:10.1145/2580944 · Cited by 109 · see citing works
Legal, Regulatory, and Risk Management Issues in the Use of Technology to Deliver Mental Health Care
Kramer, G. M., Kinn, J. T., & Mishkind, M. C. (2014) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2014.04.008 · Cited by 97 · see citing works
(2013) · PubMed · Cited by 96 · see citing works
Security Considerations for E-Mental Health Interventions
Bennett, K., Bennett, A. J., & Griffiths, K. M. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1468 · Cited by 81 · see citing works
Participatory personal data: An emerging research challenge for the information sciences
Shilton, K. (2012) · J. Assoc. Inf. Sci. Technol. · doi:10.1002/asi.22655 · Cited by 59 · see citing works
Security Framework for Wireless Sensor Networks
Prasad, N. R., & Alam, M. (2006) · Wireless Personal Communications · doi:10.1007/s11277-006-9044-7 · Cited by 58 · see citing works
An amulet for trustworthy wearable mHealth
Sorber, J. M., Shin, M., Peterson, R., Cornelius, C. T., Mare, S., Prasad, A., Marois, Z., Smithayer, E., & Kotz, D. F. (2012) · IEEE Workshop on Mobile Computing Systems and Applications (WMCSA) · doi:10.1145/2162081.2162092 · Cited by 51 · see citing works
Henriksen, E. K. K., Burkow, T. M., Johnsen, E., & Vognild, L. K. (2013) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-13-85 · Cited by 31 · see citing works
Multimodal biometric authentication using speech and hand geometry fusion
Varchol, P., Levický, D., & Juhár, J. (2008) · International Conference on Systems, Signals and Image Processing · doi:10.1109/iwssip.2008.4604366 · Cited by 18 · see citing works
Mare, S., Sorber, J. M., Shin, M., Cornelius, C. T., & Kotz, D. F. (2011) · ACM Workshop on Privacy in the Electronic Society (WPES) · doi:10.1145/2046556.2046574 · Cited by 16 · see citing works
Adaptive security and privacy for mHealth sensing
Mare, S., Sorber, J. M., Shin, M.-H., Cornelius, C. T., & Kotz, D. F. (2011) · Cited by 10 · see citing works
CCmH: The cloud computing paradigm for mobile health (mHealth)
Adibi, S., Wickramasinghe, N. S., & Chan, C. (2013) · RMIT Research Repository (RMIT University Library) · doi:10.7321/jscse.v3.n3.61 · Cited by 7 · see citing works
Trust-Based Information System Architecture for Personal Wellness
Ruotsalainen, P., Nykänen, P., Seppälä, A., & Blobel, B. (2014) · PubMed · doi:10.5283/epub.31367 · Cited by 5 · see citing works
Advance Notice of Proposed Rulemaking Department of Health and Human Services
Schultz, W. B. (1997) · Clinical Research and Regulatory Affairs · doi:10.3109/10601339709019445 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Mare S Sorber J Shin M Cornelius C Kotz D Adapt-lite: Privacy-aware, secure, and efficient mHealth sensing Proceedings for Workshop on Privacy in the Electronic Society (WPES’11) 137 142 October 2011b Available at http://sharps.org/wp-content/uploads/MAREWPES.pdf
- Urban JM Hoofnagle CJ Li S Mobile Phones and Privacy (BCLT Research Paper Series, UC Berkeley Public Law Research Paper No. 2103405) Berkeley, CA University of California at Berkeley 2012 Available at http://ssrn.com/abstract=2103405
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Methods in predictive techniques for mental health status on social media: a critical review
Chancellor, S., & De Choudhury, M. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0233-7 · Cited by 557 · see citing works
The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study
Vaghefi, I., & Tulu, B. (2019) · JMIR mhealth and uhealth · doi:10.2196/12983 · Cited by 341 · see citing works
Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review
Shojaei, P., Vlahu‐Gjorgievska, E., & Chow, Y.-W. (2024) · Computers · doi:10.3390/computers13020041 · Cited by 197 · see citing works
Alfawzan, N., Christen, M., Spitale, G., & Biller‐Andorno, N. (2022) · JMIR mhealth and uhealth · doi:10.2196/33735 · Cited by 147 · see citing works
Karekla, M., Kasinopoulos, O., Neto, D. D., Ebert, D. D., Van Daele, T., Nordgreen, T., Höfer, S., Oeverland, S., & Jensen, K. L. (2019) · European Psychologist · doi:10.1027/1016-9040/a000349 · Cited by 117 · see citing works
Van Daele, T., Karekla, M., Kassianos, A. P., Compare, A., Haddouk, L., Salgado, J., Ebert, D. D., Trebbi, G., Bernaerts, S., Van Assche, E., et al. (2020) · Journal of Psychotherapy Integration · doi:10.1037/int0000218 · Cited by 122 · see citing works
Lobelo, F., Kelli, H. M., Tejedor, S. C., Pratt, M., McConnell, M. V., Martin, S. S., & Welk, G. J. (2016) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2016.02.007 · Cited by 113 · see citing works
Wearable devices for patient monitoring in the early postoperative period: a literature review
Amin, T., Mobbs, R. J., Mostafa, N., Sy, L. W., & Choy, W. J. (2021) · mHealth · doi:10.21037/mhealth-20-131 · Cited by 109 · see citing works
Challenges in implementing mHealth interventions: a technical perspective
Gurupur, V. P., & Wan, T. T. H. (2017) · mHealth · doi:10.21037/mhealth.2017.07.05 · Cited by 93 · see citing works
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?
Adans-Dester, C. P., Bamberg, S. J. M., Bertacchi, F., Caulfield, B., Chappie, K., Demarchi, D., Erb, M. K., Estrada, J. J., Fabara, E. E., Freni, M., et al. (2020) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2020.3015141 · Cited by 85 · see citing works
Adams, Z. W., McClure, E. A., Gray, K. M., Danielson, C. K., Treiber, F. A., & Ruggiero, K. J. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.10.019 · Cited by 78 · see citing works
Balbim, G. M., Marques, I. G., Márquez, D. X., Patel, D., Sharp, L. K., Kitsiou, S., & Nyenhuis, S. M. (2021) · JMIR mhealth and uhealth · doi:10.2196/25289 · Cited by 71 · see citing works
Rahimi, S. A., Menear, M., Robitaille, H., & Légaré, F. (2017) · Global Health Action · doi:10.1080/16549716.2017.1332259 · Cited by 71 · see citing works
Shin, Y., Kim, S. K., & Lee, M. (2019) · Public Health Nursing · doi:10.1111/phn.12655 · Cited by 64 · see citing works
Alhussein, G., & Hadjileontiadis, L. J. (2021) · JMIR mhealth and uhealth · doi:10.2196/32557 · Cited by 64 · see citing works
Puppala, M., He, T., Yu, X., Chen, S., Ogunti, R., & Wong, S. T. C. (2016) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2016.7455821 · Cited by 61 · see citing works
Foong, H. F., Kyaw, B. M., Upton, Z., & Car, L. T. (2020) · International Wound Journal · doi:10.1111/iwj.13396 · Cited by 54 · see citing works
Michele, R. D., & Furini, M. (2019) · EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS) · doi:10.1145/3342428.3342693 · Cited by 52 · see citing works
Threat modeling for mobile health systems
Große-Kampmann, M., Hertlein, M., Holz, T., & Pohlmann, N. (2018) · IEEE Wireless Communications and Networking Conference Workshops (WCNCW) · doi:10.1109/wcncw.2018.8369033 · Cited by 50 · see citing works
White paper: technology for surgical telementoring—SAGES Project 6 Technology Working Group
Bogen, E. M., Schlachta, C. M., & Ponsky, T. A. (2019) · Surgical Endoscopy · doi:10.1007/s00464-018-06631-8 · Cited by 45 · see citing works
Armand, T. P. T., Kim, H., & Kim, J.-I. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14030254 · Cited by 50 · see citing works
Walsh, S., Golden, E., & Priebe, S. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-008362 · Cited by 42 · see citing works
Rendina, H. J., & Mustanski, B. S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9019 · Cited by 39 · see citing works
Analysis of Security Protocols for Mobile Healthcare
Wazid, M., Zeadally, S., Das, A. K., & Odelu, V. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0596-0 · Cited by 36 · see citing works
Evaluating the Privacy Policies of Mobile Personal Health Records for Pregnancy Monitoring
Bachiri, M., Idri, A., Fernández-Alemán, J. L., & Toval, A. (2018) · Journal of Medical Systems · doi:10.1007/s10916-018-1002-x · Cited by 36 · see citing works
TigerAware: An Innovative Mobile Survey and Sensor Data Collection and Analytics System
Morrison, W., Guerdan, L., Kanugo, J., Trull, T. J., & Shang, Y. (2018) · IEEE International Conference on Data Science in Cyberspace · doi:10.1109/dsc.2018.00025 · Cited by 37 · see citing works
Privacy Risks and Security Threats in mHealth apps
Sampat, B. H., & Prabhakar, B. (2017) · Journal of International Technology and Information Management · doi:10.58729/1941-6679.1353 · Cited by 35 · see citing works
Pennou, A., Lecomte, T., Potvin, S., & Khazaal, Y. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00302 · Cited by 34 · see citing works
“, visited environments that have been recorded through geo-location system (118)].”
BackgroundZhang, D., Lim, J., Zhou, L., & Dahl, A. A. (2021) · JMIR Mental Health · doi:10.2196/31633 · Cited by 35 · see citing works
Wethington, E., Eccleston, C., Gay, G. K., Gooberman‐Hill, R., Schofield, P., Bacon, L., Dombrowski, W., Jamison, R. N., Rothman, M., Meador, L., et al. (2018) · Journal of Pain · doi:10.1016/j.jpain.2018.06.006 · Cited by 31 · see citing works
Potentials and Challenges of the Health Data Cooperative Model
van Roessel, I., Reumann, M., & Brand, A. M. (2017) · Public Health Genomics · doi:10.1159/000489994 · Cited by 30 · see citing works
Yoon, S., Ng, J. H., Kwan, Y. H., & Low, L. L. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.793473 · Cited by 29 · see citing works
Alsswey, A., Al‐Samarraie, H., & Bervell, B. (2021) · Health and Technology · doi:10.1007/s12553-021-00549-3 · Cited by 27 · see citing works
Aljedaani, B., Ahmad, A., Zahedi, M., & Babar, M. A. (2022) · Journal of Systems and Software · doi:10.1016/j.jss.2022.111519 · Cited by 27 · see citing works
Hackett, K. M., Kazemi, M., & Sellen, D. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.06.014 · Cited by 27 · see citing works
Cross-cultural perspectives on eHealth privacy in Africa
Namara, M., Wilkinson, D., Lowens, B. M., Knijnenburg, B. P., Orji, R., & Sekou, R. L. (2018) · African Human Computer Interaction Conference (AfriCHI) · doi:10.1145/3283458.3283472 · Cited by 26 · see citing works
Access control solutions in electronic health record systems: A systematic review
Cobrado, U. N., Sharief, S., Regahal, N. G., Zepka, E., Mamauag, M. B., & Velasco, L. C. (2024) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2024.101552 · Cited by 34 · see citing works
Demers, M., & Winstein, C. J. (2020) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2020.1856557 · Cited by 23 · see citing works
Rezaee, R., Khashayar, M., Saeedinezhad, S., Nasiri, M., & Zare, S. (2023) · JMIR mhealth and uhealth · doi:10.2196/39055 · Cited by 25 · see citing works
A Vulnerability Study of Mhealth Chronic Disease Management (CDM) Applications (apps)
Mabo, T., Swar, B., & Aghili, S. (2018) · Advances in Intelligent Systems and Computing · doi:10.1007/978-3-319-77703-0_58 · Cited by 24 · see citing works
Issom, D.-Z., Henriksen, A., Woldaregay, A. Z., Rochat, J., Lovis, C., & Hartvigsen, G. (2020) · JMIR Human Factors · doi:10.2196/14599 · Cited by 25 · see citing works
Choi, J., Cho, Y., & Woo, H. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8554 · Cited by 24 · see citing works
Security Vulnerabilities in Mobile Health Applications
Aliasgari, M., Black, M. D., & Yadav, N. (2018) · IEEE Conference on Application, Information and Network Security (AINS) · doi:10.1109/ains.2018.8631464 · Cited by 23 · see citing works
Shojaei, P., Vlahu‐Gjorgievska, E., & Chow, Y.-W. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.105907 · Cited by 21 · see citing works
Alzahrani, A., Gay, V. C., & Alturki, R. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912956 · Cited by 21 · see citing works
Chen, M., & Chan, K. L. (2020) · Trauma Violence & Abuse · doi:10.1177/1524838020967346 · Cited by 19 · see citing works
User Acceptance Factors for mHealth
Pan, A., & Zhao, F. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-91244-8_14 · Cited by 18 · see citing works
Medical Image Encryption using Chaotic Map Improved Advanced Encryption Standard
Bhogal, R. S., Li, B., Gale, A., & Chen, Y. (2018) · International Journal of Information Technology and Computer Science · doi:10.5815/ijitcs.2018.08.01 · Cited by 18 · see citing works
Sensing everyday activity: Parent perceptions and feasibility
Levin, H. I., Egger, D., Andres, L., Johnson, M., Bearman, S. K., & de Barbaro, K. (2021) · Infant Behavior and Development · doi:10.1016/j.infbeh.2020.101511 · Cited by 19 · see citing works
Chandler, R. D., Guillaume, D., Parker, A. G., Carter, S. E., & Hernandez, N. (2020) · Perspectives on Sexual and Reproductive Health · doi:10.1363/psrh.12170 · Cited by 17 · see citing works
South Korea: in the midst of a privacy reform centered on data sharing
Kim, H., Kim, S. Y., & Joly, Y. (2018) · Human Genetics · doi:10.1007/s00439-018-1920-1 · Cited by 18 · see citing works
Mwaka, E., Nakigudde, J., Ali, J., Ochieng, J., Hallez, K., Tweheyo, R., Labrique, A. B., Gibson, D. G., Rutebemberwa, E., & Pariyo, G. W. (2019) · mHealth · doi:10.21037/mhealth.2019.07.05 · Cited by 17 · see citing works
A proposal to improve the authentication process in m-health environments
Guillén‐Gámez, F. D., García‐Magariño, I., Bravo, J., Lacuesta, R., & Lloret, J. (2017) · IEEE Access · doi:10.1109/access.2017.2752176 · Cited by 16 · see citing works
Mladin, O. A., Spinean, A., Carniciu, S., & Serafinceanu, C. (2024) · Journal of Medicine and Life · doi:10.25122/jml-2024-0340 · Cited by 15 · see citing works
The willingness to use mobile health technology among gynaecologists: A survey study
Tadayon, H., Abbasi, R., & Jabali, M. S. (2021) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2021.100653 · Cited by 16 · see citing works
Exploring the need for a suitable privacy framework for mHealth when managing chronic diseases
Jusob, F. R., George, C. E., & Mapp, G. (2017) · Journal of Reliable Intelligent Environments · doi:10.1007/s40860-017-0049-7 · Cited by 15 · see citing works
The Recent Advances of Mobile Healthcare in Cardiology Practice
Kulbayeva, S., Tazhibayeva, K. N., Seyduanova, L. B., Smagulova, I., Mussina, A., Tanabayeva, S. B., & Saliev, I. (2022) · Acta Informatica Medica · doi:10.5455/aim.2022.30.236-250 · Cited by 19 · see citing works
Textile-integrated polymer optical fibers for healthcare and medical applications
Yamada, Y. (2020) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/abbf5f · Cited by 14 · see citing works
Moura, P., Fazendeiro, P., Inácio, P. R. M., Vieira‐Marques, P., & Ferreira, A. (2020) · Journal of Healthcare Engineering · doi:10.1155/2020/5601068 · Cited by 13 · see citing works
Deng, H., Vu, K. Q., Franco, J. R., Shepler, L. J., Abouzeid, C. A., Hamner, J. W., Mercier, H. W., Taylor, J. A., Kazis, L. E., Slavin, M. D., et al. (2023) · Journal of Medical Systems · doi:10.1007/s10916-023-01914-7 · Cited by 13 · see citing works
Mierzwa, S., RamaRao, S., Yun, J. A., & Jeong, B. G. (2020) · International Journal of Cybersecurity Intelligence and Cybercrime · doi:10.52306/03020420babw2272 · Cited by 12 · see citing works
Ssemugabo, C., Rutebemberwa, E., Kajungu, D., Pariyo, G. W., Hyder, A. A., & Gibson, D. G. (2019) · JMIR Formative Research · doi:10.2196/15000 · Cited by 11 · see citing works
VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health
Xu, A., Zheng, Z.-Z., Li, Q.-Y., Wu, F., & Chen, G.-H. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2023.3316145 · Cited by 10 · see citing works
HIPAA Technical Compliance Evaluation of Laravel-based mHealth Apps
Akter, M. S., Barek, M. A., Rahman, M. M., Riad, A. K. I., Rahman, M. A., Mia, M. R., Shahriar, H., Chu, W. C., & Ahamed, S. I. (2024) · IEEE International Conference on Digital Health (ICDH) · doi:10.1109/icdh62654.2024.00020 · Cited by 10 · see citing works
The Integrated Holistic Security and Privacy Framework Deployed in CrowdHEALTH Project
Malliaros, S., Xenakis, C., Moldovan, G., Mantas, J., Magdalinou, A., & Montandon, L. (2019) · Acta Informatica Medica · doi:10.5455/aim.2019.27.333-340 · Cited by 10 · see citing works
Sekandi, J. N., Murray, K., Berryman, C., Davis-Olwell, P., Hurst, C., Kakaire, R., Kiwanuka, N., Whalen, C. C., & Mwaka, E. (2022) · Interactive Journal of Medical Research · doi:10.2196/35062 · Cited by 10 · see citing works
Tesema, N., Guillaume, D., Francis, S., Paul, S., & Chandler, R. D. (2023) · JMIR Formative Research · doi:10.2196/37987 · Cited by 10 · see citing works
Asuquo, D. E., Attai, K. F., Obot, O. U., Ekpenyong, M. E., Akwaowo, C., Arnold, K., & Uzoka, F. (2024) · Clinical eHealth · doi:10.1016/j.ceh.2024.05.001 · Cited by 12 · see citing works
Mahlaola, T. B., & Dyk, B. V. (2016) · Health SA Gesondheid · doi:10.1016/j.hsag.2016.04.003 · Cited by 10 · see citing works
Leveraging Healthcare API to transform Interoperability: API Security and Privacy
Faruk, M. J. H., Patinga, A. J., Migiro, L., Shahriar, H., & Sneha, S. (2022) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac54236.2022.00082 · Cited by 9 · see citing works
Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease
Liaqat, M., Mushtaq, M., Jamil, A., Mushtaq, M. M., Ali, H., Anwar, R., Raza, A., Aslam, A., Tariq, T., Hussain, M., et al. (2024) · Cureus · doi:10.7759/cureus.62157 · Cited by 10 · see citing works
Digital Health Research Methods and Tools: Suggestions and Selected Resources for Researchers
Gray, K. M., & Gilbert, C. A. (2017) · Intelligent systems reference library · doi:10.1007/978-3-319-67513-8_2 · Cited by 9 · see citing works
Lea, N., Nicholls, J., & Fitzpatrick, N. K. (2018) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1641219 · Cited by 8 · see citing works
Chen, J., Wijesundara, J. G., Enyim, G. E., Lombardini, L., Gerber, B. S., Houston, T. K., & Sadasivam, R. S. (2021) · JMIR Human Factors · doi:10.2196/34452 · Cited by 9 · see citing works
New Engineering Method for the Risk Assessment: Case Study Signal Jamming of the M-Health Networks
Karoui, K., & Ftima, F. B. (2018) · Mobile Networks and Applications · doi:10.1007/s11036-018-1098-8 · Cited by 8 · see citing works
A new privacy framework for the management of chronic diseases via mHealth in a post-Covid-19 world
Jusob, F. R., George, C. E., & Mapp, G. (2021) · Journal of Public Health · doi:10.1007/s10389-021-01608-9 · Cited by 9 · see citing works
Alfaidi, A., & Chow, E. (2020) · International Conference on Computational Science and Computational Intelligence (CSCI) · doi:10.1109/csci51800.2020.00161 · Cited by 8 · see citing works
Perceptions of Security and Privacy in mHealth
Ferreira, A., Muchagata, J., Vieira‐Marques, P., Abrantes, D., & Teles, S. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-77392-2_19 · Cited by 8 · see citing works
Security and Privacy Analysis of Mhealth Application: A Case Study
Zhao, W., Shahriar, H., Clincy, V. A., & Bhuiyan, M. Z. A. (2020) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom50675.2020.00257 · Cited by 8 · see citing works
Stonbraker, S., Haight, E., Soriano, L., Guijosa, L., Davison, E., Bushley, D., Messina, L., & Halpern, M. (2020) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2020-0054 · Cited by 8 · see citing works
Alam, N. B., Haque, M. T., Subedar, S., Giacco, D., Singh, S. R. G., & Jilka, S. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1772744 · Cited by 7 · see citing works
Bati, G. F., & Singh, V. K. (2020) · Computers · doi:10.3390/computers10010003 · Cited by 7 · see citing works
Building Standardized and Secure Mobile Health Services Based on Social Media
Trigo, J. D., Rubio, Ó. J., Martinez-Espronceda, M., Alesanco, Á., García, J., & Serrano, L. (2020) · Electronics · doi:10.3390/electronics9122208 · Cited by 7 · see citing works
Developing personalized algorithms for sensing mental health symptoms in daily life
Timmons, A. C., Tutul, A. A., Avramidis, K., Duong, J. B., Carta, K. E., Walters, S. N., Jumonville, G. A., Carrasco, A. S., Freitag, G. F., Romero, D. N., et al. (2025) · npj Mental Health Research · doi:10.1038/s44184-025-00147-5 · Cited by 7 · see citing works
A review of recent advances in Privacy preservation in health care data publishing
Selvaraj, B., & Periyasamy, S. (2016) · International Journal of Pharma and Bio Sciences · doi:10.22376/ijpbs.2016.7.4.b33-41 · Cited by 6 · see citing works
Miley, E. V., Schaeffler, F., Beck, J. M., Eichner, M., & Jannetts, S. (2021) · Linguistics Vanguard · doi:10.1515/lingvan-2019-0015 · Cited by 6 · see citing works
A Systematic Review on Security and Privacy Issues in Mobile Devices and Systems
Alloghani, M. A., Baker, T., Al‐Jumeily, D., Hussain, A. J., Mustafina, J., & Aljaaf, A. J. (2019) · Springer eBooks · doi:10.1007/978-3-030-22277-2_23 · Cited by 6 · see citing works
Asfar, T., Alcaide, M. L., Jones, D. L., McClure, L. A., Brewer, J. A., Lee, D. J., & Carrico, A. W. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271946 · Cited by 6 · see citing works
Yates, D., & Islam, M. Z. (2019) · Communications in computer and information science · doi:10.1007/978-981-15-1699-3_19 · Cited by 6 · see citing works
Integrating Privacy-By-Design in e-Health
Amankona, V., Asante, A., Opoku, M., Gyaase, P. O., Srekumah, C., Peprah, A. K., & Amankwa-Danquah, P. (2021) · International Conference on Electrical, Computer and Energy Technologies (ICECET) · doi:10.1109/icecet52533.2021.9698489 · Cited by 6 · see citing works
Özkan, Ö., Son, Y. A., & Aydınoğlu, A. U. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/678912 · Cited by 5 · see citing works
Oduor, K. O., Ogweno, S., Ajwang, D., & Okinyi, N. (2023) · South Eastern European Journal of Public Health · doi:10.56801/seejph.vi.209 · Cited by 4 · see citing works
Technology-Based Interventions for Mental Health Support in Bangladesh
Muhammad, F., & Arafat, S. M. Y. (2024) · Springer eBooks · doi:10.1007/978-981-97-0610-5_16 · Cited by 5 · see citing works
Development and Presentation of an Ethical Framework for Health and Medical Apps
Tokgöz, P., Eger, H., Funke, S. S., Gutjar, A., Nguyen-Thi, T., & Dockweiler, C. (2019) · Journal of the International Society for Telemedicine and eHealth · doi:10.29086/jisfteh.7.e15 · Cited by 4 · see citing works
Scope of Tele-Pharmacists in Pandemic Situations of Bangladesh
Mohiuddin, A. K. (2020) · Current Trends in Clinical & Medical Sciences · doi:10.33552/ctcms.2020.01.000525 · Cited by 4 · see citing works
Burton, S. D., Tanczer, L., Vasudevan, S., Hailes, S. M. V., & Carr, M. (2020) · University College London · doi:10.14324/000.rp.10117734 · Cited by 4 · see citing works
Smartphone Apps for Pulmonary Hypertension: Systematic Search and Content Evaluation
Gutiérrez, N. B., Ramallo, H. R., Mendoza-Zambrano, E. M., Arreola, B. B., Santos‐Ramos, B., Martín, L. A., & Otero, R. (2024) · JMIR mhealth and uhealth · doi:10.2196/57289 · Cited by 3 · see citing works
Alfaidi, A., & Chow, E. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-75078-7_17 · Cited by 3 · see citing works
Separating Features From Functionality in Vaccination Apps: Computational Analysis
Shaw, G., Jr., Nadkarni, D., Phann, E., Sielaty, R., Ledenyi, M., Abnowf, R., Xu, Q., Arredondo, P., & Chen, S. (2022) · JMIR Formative Research · doi:10.2196/36818 · Cited by 3 · see citing works
- Authors
- Arora, S.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Arora, S
- Venue
- Alcohol Research: Current Reviews
- Published
- 2014
- Volume
- 36
- Issue
- 1
- Pages
- 143
- ISSN
- 2168-3492 (ISSN-L)
- 2169-4796
- PMC
- PMC4432854
- OpenAlex
- W1127100258
- Cited by
- 134
- References
- 17
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 12 · 2023: 9 · 2022: 14 · 2021: 18 · 2020: 20 · 2019: 16 · 2018: 19 · 2017: 8 · 2016: 9
- FWCI
- 10.26
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- public-domain
- Locations
- Alcohol research (publishedVersion, public-domain)
- Europe PMC (PubMed Central) (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- PubMed
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Keywords
- mobile health, privacy, data security, alcohol use problems, research participant protection, data breaches, cybersecurity, real-time intervention, mobile health intervention
- MeSH terms
- Humans, Computer Security, Telemedicine, Privacy, Biomedical Research
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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