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

JMIR Theme Issue: COVID-19 Special Issue (2452) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Hygiene and Infection Prevention (317) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (374) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20334, first published .
Features and Functionalities of Smartphone Apps Related to COVID-19: Systematic Search in App Stores and Content Analysis

Features and Functionalities of Smartphone Apps Related to COVID-19: Systematic Search in App Stores and Content Analysis

Features and Functionalities of Smartphone Apps Related to COVID-19: Systematic Search in App Stores and Content Analysis

Authors of this article:

Roberto Collado-Borrell1 Author Orcid Image ;   Vicente Escudero-Vilaplana1 Author Orcid Image ;   Cristina Villanueva-Bueno1 Author Orcid Image ;   Ana Herranz-Alonso1 Author Orcid Image ;   Maria Sanjurjo-Saez1 Author Orcid Image
Article Authors Cited by (66) Tweetations (4) Metrics

Journals

  1. Kondylakis H, Katehakis D, Kouroubali A, Logothetidis F, Triantafyllidis A, Kalamaras I, Votis K, Tzovaras D. COVID-19 Mobile Apps: A Systematic Review of the Literature. Journal of Medical Internet Research 2020;22(12):e23170 View
  2. Jung Y, Agulto R. A Public Platform for Virtual IoT-Based Monitoring and Tracking of COVID-19. Electronics 2020;10(1):12 View
  3. Kawakami N, Sasaki N, Kuroda R, Tsuno K, Imamura K. The Effects of Downloading a Government-Issued COVID-19 Contact Tracing App on Psychological Distress During the Pandemic Among Employed Adults: Prospective Study. JMIR Mental Health 2021;8(1):e23699 View
  4. Kumar P, Sah A, Tripathi G, Kashyap A, Tripathi A, Rao R, Mishra P, Mallick K, Husain A, Kashyap M. Role of ACE2 receptor and the landscape of treatment options from convalescent plasma therapy to the drug repurposing in COVID-19. Molecular and Cellular Biochemistry 2021;476(2):553 View
  5. Almalki M, Giannicchi A. Health Apps for Combating COVID-19: Descriptive Review and Taxonomy. JMIR mHealth and uHealth 2021;9(3):e24322 View
  6. 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
  7. Camacho-Rivera M, Islam J, Rivera A, Vidot D. Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey. JMIR mHealth and uHealth 2020;8(12):e24693 View
  8. Teixeira R, Doetsch J. The multifaceted role of mobile technologies as a strategy to combat COVID-19 pandemic. Epidemiology and Infection 2020;148 View
  9. Chen Y, Yu Y, Lin X, Han Z, Feng Z, Hua X, Chen D, Xu X, Zhang Y, Wang G, Huang C. Intelligent Rehabilitation Assistance Tools for Distal Radius Fracture: A Systematic Review Based on Literatures and Mobile Application Stores. Computational and Mathematical Methods in Medicine 2020;2020:1 View
  10. Oldeweme A, Märtins J, Westmattelmann D, Schewe G. The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps. Journal of Medical Internet Research 2021;23(2):e25893 View
  11. Waggoner P. Community Detection in Google Searches Related to “Coronavirus”. Journal of Data Science 2021:334 View
  12. Kahnbach L, Lehr D, Brandenburger J, Mallwitz T, Jent S, Hannibal S, Funk B, Janneck M. Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps. Journal of Medical Internet Research 2021;23(6):e27989 View
  13. Lee H, Kang J, Yeo J. Medical Specialty Recommendations by an Artificial Intelligence Chatbot on a Smartphone: Development and Deployment. Journal of Medical Internet Research 2021;23(5):e27460 View
  14. Bermejo-Gil B, Pérez-Robledo F, Llamas-Ramos R, Silva L, Sales-Mendes A, Leithardt V, Llamas-Ramos I. RespiraConNosotros: A Viable Home-Based Telerehabilitation System for Respiratory Patients. Sensors 2021;21(10):3318 View
  15. Raposo A, Marques L, Correia R, Melo F, Valente J, Pereira T, Rosário L, Froes F, Sanches J, Silva H. e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19. Sensors 2021;21(10):3397 View
  16. Sait U, K.V. G, Shivakumar S, Kumar T, Bhaumik R, Prajapati S, Bhalla K, Chakrapani A. A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images. Applied Soft Computing 2021;109:107522 View
  17. Zhang M, Chen J, Tong K, Yu E, Wu A. Problematic Smartphone Use during the COVID-19 Pandemic: Its Association with Pandemic-Related and Generalized Beliefs. International Journal of Environmental Research and Public Health 2021;18(11):5724 View
  18. Javaid M, Haleem A, Pratap Singh R, Suman R. Pedagogy and innovative care tenets in COVID-19 Pandemic: An enhancive way through Dentistry 4.0. Sensors International 2021:100118 View
  19. Park J, Han J, Kim Y, Rho M. Development, Acceptance, and Concerns Surrounding App-Based Services to Overcome the COVID-19 Outbreak in South Korea: Web-Based Survey Study. JMIR Medical Informatics 2021;9(7):e29315 View
  20. Mata-Greve F, Johnson M, Pullmann M, Friedman E, Griffith Fillipo I, Comtois K, Arean P. Mental Health and the Perceived Usability of Digital Mental Health Tools Among Essential Workers and People Unemployed Due to COVID-19: Cross-sectional Survey Study. JMIR Mental Health 2021;8(8):e28360 View
  21. Wong Z, Rigby M. Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation. International Journal of Medical Informatics 2022;157:104639 View
  22. Rahimi R, Khoundabi B, fathian A. Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens. International Journal of Medical Informatics 2021;155:104571 View
  23. Scholl A, Sassenberg K. How Identification With the Social Environment and With the Government Guide the Use of the Official COVID-19 Contact Tracing App: Three Quantitative Survey Studies. JMIR mHealth and uHealth 2021;9(11):e28146 View
  24. Wu Y, Ye Q, Shen F, Zhang Z, Jiang C. Country- and app-level factors affecting the adoption and evaluation of COVID-19 mobile apps. BMC Public Health 2022;22(1) View
  25. Krüger N, Behne A, Beinke J, Stibe A, Teuteberg F. Exploring User Acceptance Determinants of COVID-19-Tracing Apps to Manage the Pandemic. International Journal of Technology and Human Interaction 2021;18(1):1 View
  26. García-Sánchez S, Somoza-Fernández B, de Lorenzo-Pinto A, Ortega-Navarro C, Herranz-Alonso A, Sanjurjo M. Mobile Health Apps Providing Information on Drugs for Adult Emergency Care: Systematic Search on App Stores and Content Analysis. JMIR mHealth and uHealth 2022;10(4):e29985 View
  27. Chen T, Wang Y. Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach. Healthcare 2021;9(11):1461 View
  28. Mora-Aguilera G, Martínez-Bustamante V, Acevedo-Sánchez G, Coria-Contreras J, Guzmán-Hernández E, Flores-Colorado O, Mendoza-Ramos C, Hernández-Nava G, Álvarez-Maya I, Gutiérrez-Espinosa M, Gómez-Linton R, Robles-Bustamante A, Gallardo-Hernández A. Surveillance Web System and Mouthwash-Saliva qPCR for Labor Ambulatory SARS-CoV-2 Detection and Prevention. International Journal of Environmental Research and Public Health 2022;19(3):1271 View
  29. Stumpf E, Ambati R, Shekhar R, Staffa S, Zurakowski D, Sinha P. A Smartphone application to provide real-time cardiopulmonary resuscitation quality feedback. The American Journal of Emergency Medicine 2022;60:34 View
  30. Ali Y, Khan H. A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions. Computer Networks 2023;224:109605 View
  31. Lin Y, Chen T. A Ubiquitous Clinic Recommendation System Using the Modified Mixed-Binary Nonlinear Programming-Feedforward Neural Network Approach. Journal of Theoretical and Applied Electronic Commerce Research 2021;16(7):3282 View
  32. Romero-Jimenez R, Escudero-Vilaplana V, Chamorro-De-Vega E, Ais-Larisgoitia A, Lobato Matilla M, Herranz-Alonso A, Sanjurjo M. The Characteristics and Functionalities of Mobile Apps Aimed at Patients Diagnosed With Immune-Mediated Inflammatory Diseases: Systematic App Search. Journal of Medical Internet Research 2022;24(3):e31016 View
  33. 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
  34. Kim Y, Choi J, Ji Y, Woo H. Insights from Review and Content Analysis of Current COVID-19 Mobile Apps and Recommendations for Future Pandemics. International Journal of Environmental Research and Public Health 2022;19(22):14652 View
  35. Bardus M, Al Daccache M, Maalouf N, Al Sarih R, Elhajj I. Data Management and Privacy Policy of COVID-19 Contact-Tracing Apps: Systematic Review and Content Analysis. JMIR mHealth and uHealth 2022;10(7):e35195 View
  36. Lee Y, Huang L, Chen S, Shao J, Lai C, Yang N. Effects of Mobile Application Program (App)-Assisted Health Education on Preventive Behaviors and Cancer Literacy among Women with Cervical Intraepithelial Neoplasia. International Journal of Environmental Research and Public Health 2021;18(21):11603 View
  37. Mohammad H, Elham M, Mehraeen E, Aghamohammadi V, Seyedalinaghi S, Kalantari S, Nahid M, Nasiri K. Identifying data elements and key features of a mobile-based self-care application for patients with COVID-19 in Iran. Health Informatics Journal 2021;27(4) View
  38. Oyibo K, Morita P. Designing Better Exposure Notification Apps: The Role of Persuasive Design. JMIR Public Health and Surveillance 2021;7(11):e28956 View
  39. Mbiine R, Nakanwagi C, Lekuya H, Aine J, Hakim K, Nabunya L, Tomusange H. An Early Warning Mobile Health Screening and Risk Scoring App for Preventing In-Hospital Transmission of COVID-19 by Health Care Workers: Development and Feasibility Study. JMIR Formative Research 2021;5(12):e27521 View
  40. Lee B, Ibrahim S, Zhang T. Mobile Apps Leveraged in the COVID-19 Pandemic in East and South-East Asia: Review and Content Analysis. JMIR mHealth and uHealth 2021;9(11):e32093 View
  41. Herrera Montano I, Pérez Pacho J, Gracia Villar S, Aparicio Obregón S, Breñosa Martinez J, de la Torre Díez I. Descriptive Analysis of Mobile Apps for Management of COVID-19 in Spain and Development of an Innovate App in that field. Scientific Reports 2022;12(1) View
  42. Abdolkarimi S, Mousavi B, A. M. Content Analysis of Health-Based Iranian Systems and Apps on Covid-19. Iranian Journal of War and Public Health 2020;12(4):223 View
  43. Báez Gutiérrez N, Rodríguez Ramallo H, Fernández González M, Abdel-Kader Martín L. Smartphone Apps for Patients With Hematologic Malignancies: Systematic Review and Evaluation of Content. JMIR mHealth and uHealth 2022;10(9):e35851 View
  44. Narrillos-Moraza Á, Gómez-Martínez-Sagrera P, Amor-García M, Escudero-Vilaplana V, Collado-Borrell R, Villanueva-Bueno C, Gómez-Centurión I, Herranz-Alonso A, Sanjurjo-Sáez M. Mobile Apps for Hematological Conditions: Review and Content Analysis Using the Mobile App Rating Scale. JMIR mHealth and uHealth 2022;10(2):e32826 View
  45. Ziebart C, Kfrerer M, Stanley M, Austin L. A Digital-First Health Care Approach to Managing Pandemics: Scoping Review of Pandemic Self-triage Tools. Journal of Medical Internet Research 2023;25:e40983 View
  46. Xu R, Shi L, Shi Z, Li T, Wang D. Investigating Individuals’ Preferences in Determining the Functions of Smartphone Apps for Fighting Pandemics: Best-Worst Scaling Survey Study. Journal of Medical Internet Research 2023;25:e48308 View
  47. Lin Y, Rowles G, Stromberg A, Zeidan R, Mankowski R. Impact of COVID-19 on Mobile Technology use in adults in the United States. F1000Research 2023;12:1376 View
  48. Nisi V, Prandi C, Ma S, Ferreira M, Nicolau H, Esteves A, Nunes N. The design of Tecnico GO!: catering for students’ well-being during the COVID-19 pandemics. Multimedia Tools and Applications 2023;82(29):46129 View
  49. Birenboim A, Bulis Y, Omer I. A typology of tourism mobility apps. Tourism Management Perspectives 2023;48:101161 View
  50. Holl F, Schobel J, Swoboda W. Mobile Apps for COVID-19: A Systematic Review of Reviews. Healthcare 2024;12(2):139 View
  51. Ramzy M, Ibrahim B. User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques. Information Processing & Management 2024;61(3):103644 View
  52. Song S, Park J, Rho M. Effectiveness and intention to use a COVID-19 self-management app for epidemiological investigation: a web-based survey study. Frontiers in Public Health 2024;12 View
  53. Ramzy M. Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis. Aslib Journal of Information Management 2024 View
  54. Liu C, Graham R. Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-19. Big Data & Society 2021;8(1) View
  55. Meraji M, Sarbaz M, Siahsar M, Mahmoodian S, Ameri F. Evaluation of Mobile Phone Applications relat-ed to COVID-19 Using Mobile App Rating Scale. South Medical Journal 2024;26(6):391 View

Books/Policy Documents

  1. Shehata A. Mass Communications and the Influence of Information During Times of Crises. View
  2. Prathibha S, Nirmal Raja K, Shyamkumar M, Kirthiga M. Data Engineering for Smart Systems. View
  3. Heikkilä E, Suoheimo M, Häkkilä J. Human-Computer Interaction – INTERACT 2021. View
  4. Chen T. Sustainable Smart Healthcare. View
  5. Chen T, Lee Y. Smart and Healthy Walking. View
  6. Moretti V, Caliandro A. Reframing Algorithms. View