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

Infectious Diseases (non-STD/STI) (1592) Wearables and MHealth Reviews (276) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (578) mHealth in a Clinical Setting (624) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377) Surveillance Systems (466) Reviews on Public Health Technology and Innovation (70) mHealth for Health Administration (150)

Published on in Vol 4, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9015, first published .
Assessing the Concepts and Designs of 58 Mobile Apps for the Management of the 2014-2015 West Africa Ebola Outbreak: Systematic Review

Assessing the Concepts and Designs of 58 Mobile Apps for the Management of the 2014-2015 West Africa Ebola Outbreak: Systematic Review

Assessing the Concepts and Designs of 58 Mobile Apps for the Management of the 2014-2015 West Africa Ebola Outbreak: Systematic Review

Authors of this article:

Daniel Tom-Aba1, 2 Author Orcid Image ;   Patrick Mboya Nguku3 Author Orcid Image ;   Chinedu Chukwujekwu Arinze3 Author Orcid Image ;   Gerard Krause1, 2 Author Orcid Image
Article Authors Cited by (44) Tweetations (11) Metrics

Journals

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  11. Elkhodr M, Mubin O, Iftikhar Z, Masood M, Alsinglawi B, Shahid S, Alnajjar F. Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis. Journal of Medical Internet Research 2021;23(2):e23467 View
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  15. Kishore K, Jaswal V, Verma M, Koushal V. Exploring the Utility of Google Mobility Data During the COVID-19 Pandemic in India: Digital Epidemiological Analysis. JMIR Public Health and Surveillance 2021;7(8):e29957 View
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  19. Kaspar K, Nordmeyer L. Personality and Motivation to Comply With COVID-19 Protective Measures in Germany. Frontiers in Psychology 2022;13 View
  20. Silenou B, Nyirenda J, Zaghloul A, Lange B, Doerrbecker J, Schenkel K, Krause G. Availability and Suitability of Digital Health Tools in Africa for Pandemic Control: Scoping Review and Cluster Analysis. JMIR Public Health and Surveillance 2021;7(12):e30106 View
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  22. Ojokoh B, Aribisala B, Sarumi O, Gabriel A, Omisore O, Taiwo A, Igbe T, Chukwuocha U, Yusuf T, Afolayan A, Babalola O, Adebayo T, Afolabi O. Contact Tracing Strategies for COVID-19 Prevention and Containment: A Scoping Review. Big Data and Cognitive Computing 2022;6(4):111 View
  23. El-Sherif D, Abouzid M. Analysis of mHealth research: mapping the relationship between mobile apps technology and healthcare during COVID-19 outbreak. Globalization and Health 2022;18(1) View
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  25. Brasier N, Osthoff M, De Ieso F, Eckstein J. Next-Generation Digital Biomarkers for Tuberculosis and Antibiotic Stewardship: Perspective on Novel Molecular Digital Biomarkers in Sweat, Saliva, and Exhaled Breath. Journal of Medical Internet Research 2021;23(8):e25907 View
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  32. Hollis S, Stolow J, Rosenthal M, Morreale S, Moses L. Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study. BMC Public Health 2023;23(1) View
  33. Kaburi B, Wyss K, Kenu E, Asiedu-Bekoe F, Hauri A, Laryea D, Klett-Tammen C, Leone F, Walter C, Krause G. Facilitators and Barriers in the Implementation of a Digital Surveillance and Outbreak Response System in Ghana Before and During the COVID-19 Pandemic: Qualitative Analysis of Stakeholder Interviews. JMIR Formative Research 2023;7:e45715 View
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Books/Policy Documents

  1. Karaarslan E, Aydın D. Data Science for COVID-19. View
  2. Farrelly G, Trabelsi H, Cocosila M. A New Era of Consumer Behavior - In and Beyond the Pandemic. View
  3. Cilliers L. Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions. View
  4. Dabass J, Dabass M, Dabass B. Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems. View
  5. Nawaz F, Opriessnig E, Usman F, Agrohi J, Arshad Z, Kashyap R, Anwar S. Precision Health in the Digital Age. View