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

JMIR Theme Issue: COVID-19 Special Issue (2391) Telehealth and Telemonitoring (1566) Outbreak and Pandemic Preparedness and Management (1675) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) mHealth for Data Collection and Research (914) Theme Issue: Apps for COVID-19 (#Apps4Covid) (133)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23197, first published .
Characteristics and Symptoms of App Users Seeking COVID-19–Related Digital Health Information and Remote Services: Retrospective Cohort Study

Characteristics and Symptoms of App Users Seeking COVID-19–Related Digital Health Information and Remote Services: Retrospective Cohort Study

Characteristics and Symptoms of App Users Seeking COVID-19–Related Digital Health Information and Remote Services: Retrospective Cohort Study

Authors of this article:

Amichai Perlman1 Author Orcid Image ;   Alina Vodonos Zilberg1 Author Orcid Image ;   Peter Bak1 Author Orcid Image ;   Michael Dreyfuss1 Author Orcid Image ;   Maya Leventer-Roberts1, 2 Author Orcid Image ;   Yael Vurembrand1, 3 Author Orcid Image ;   Howard E Jeffries1, 4 Author Orcid Image ;   Eyal Fisher1, 5 Author Orcid Image ;   Yael Steuerman1 Author Orcid Image ;   Yinat Namir1 Author Orcid Image ;   Yaara Goldschmidt1 Author Orcid Image ;   Daniel Souroujon1 Author Orcid Image
Article Authors Cited by (29) Tweetations (31) Metrics

Journals

  1. Sarradon-Eck A, Bouchez T, Auroy L, Schuers M, Darmon D. Attitudes of General Practitioners Toward Prescription of Mobile Health Apps: Qualitative Study. JMIR mHealth and uHealth 2021;9(3):e21795 View
  2. Khoshrounejad F, Hamednia M, Mehrjerd A, Pichaghsaz S, Jamalirad H, Sargolzaei M, Hoseini B, Aalaei S. Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges. Frontiers in Public Health 2021;9 View
  3. Meheli S, Sinha C, Kadaba M. Understanding People With Chronic Pain Who Use a Cognitive Behavioral Therapy–Based Artificial Intelligence Mental Health App (Wysa): Mixed Methods Retrospective Observational Study. JMIR Human Factors 2022;9(2):e35671 View
  4. Hannum M, Koch R, Ramirez V, Marks S, Toskala A, Herriman R, Lin C, Joseph P, Reed D. RETRACTED AND REPLACED: Taste loss as a distinct symptom of COVID-19: a systematic review and meta-analysis. Chemical Senses 2022;47 View
  5. Okaniwa F, Yoshida H. Evaluation of Dietary Management Using Artificial Intelligence and Human Interventions: Nonrandomized Controlled Trial. JMIR Formative Research 2022;6(6):e30630 View
  6. Munsch N, Gruarin S, Nateqi J, Lutz T, Binder M, Aberle J, Martin A, Knapp B. Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna. Wiener klinische Wochenschrift 2022;134(9-10):344 View
  7. Kujala S, Hörhammer I. Health Care Professionals’ Experiences of Web-Based Symptom Checkers for Triage: Cross-sectional Survey Study. Journal of Medical Internet Research 2022;24(5):e33505 View
  8. Montesi M. Human information behavior during the Covid-19 health crisis. A literature review. Library & Information Science Research 2021;43(4):101122 View
  9. Reeves J, Pageler N, Wick E, Melton G, Tan Y, Clay B, Longhurst C. The Clinical Information Systems Response to the COVID-19 Pandemic. Yearbook of Medical Informatics 2021;30(01):105 View
  10. Asadi F, Rahimi F, Ghaderkhany S, Almasi S. Self‐care for coronavirus disease through electronic health technologies: A scoping review. Health Science Reports 2023;6(2) View
  11. Ledesma Solaeche F, Coppolillo F, Trillo F, Dingianna A, Heffner L. Telemedicina en seguros de salud durante la pandemia de la COVID-19. Atención Primaria Práctica 2022;4(3):100144 View
  12. Laukka E, Kujala S, Gluschkoff K, Kanste O, Hörhammer I, Heponiemi T. Leaders’ support for using online symptom checkers in Finnish primary care: Survey study. Health Informatics Journal 2021;27(4):146045822110522 View
  13. Röbbelen A, Schmieding M, Kopka M, Balzer F, Feufel M. Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial. JMIR Public Health and Surveillance 2022;8(4):e33733 View
  14. Prathipati K, Mishra M, Rathod B, Tripathy J, B H S, Bidkar V, Dabhekar S, Shete V, G D. Symptomatology and Relationship Between Symptoms and Duration Among COVID-19 Patients in a COVID-19 Care Hospital in Central India. Cureus 2022 View
  15. Sinha C, Meheli S, Kadaba M. Understanding Digital Mental Health Needs and Usage With an Artificial Intelligence–Led Mental Health App (Wysa) During the COVID-19 Pandemic: Retrospective Analysis. JMIR Formative Research 2023;7:e41913 View
  16. Yang L, Wu J, Mo X, Chen Y, Huang S, Zhou L, Dai J, Xie L, Chen S, Shang H, Rao B, Weng B, Abulimiti A, Wu S, Xie X. Changes in Mobile Health Apps Usage Before and After the COVID-19 Outbreak in China: Semilongitudinal Survey. JMIR Public Health and Surveillance 2023;9:e40552 View
  17. Meystre S, Heider P, Kim Y, Davis M, Obeid J, Madory J, Alekseyenko A. Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing. Journal of the American Medical Informatics Association 2021;29(1):12 View
  18. 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
  19. Bao X, Ke P. Chaos, expansion, and contraction: The information worlds of depression patients during theCOVID‐19 pandemic lockdown. Journal of the Association for Information Science and Technology 2023;74(8):971 View
  20. Zou C, Harvard A, Qian J, Fox B. A systematic review of digital health technologies for the care of older adults during COVID-19 pandemic. DIGITAL HEALTH 2023;9 View
  21. Schooley B, Ahmed A, Maxwell J, Feldman S. Predictors of COVID-19 From a Statewide Digital Symptom and Risk Assessment Tool: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e46026 View
  22. Riboli-Sasco E, El-Osta A, Alaa A, Webber I, Karki M, El Asmar M, Purohit K, Painter A, Hayhoe B. Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review. Journal of Medical Internet Research 2023;25:e43803 View
  23. Mahlknecht A, Engl A, Piccoliori G, Wiedermann C. Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice. BMC Primary Care 2023;24(1) View
  24. Wiedermann C, Mahlknecht A, Piccoliori G, Engl A. Redesigning Primary Care: The Emergence of Artificial-Intelligence-Driven Symptom Diagnostic Tools. Journal of Personalized Medicine 2023;13(9):1379 View
  25. Hannum M, Koch R, Ramirez V, Marks S, Toskala A, Herriman R, Lin C, Joseph P, Reed D. Taste loss as a distinct symptom of COVID-19: a systematic review and meta-analysis. Chemical Senses 2023;48 View
  26. Oliveira S, Dos Santos D, Gadelha C, Moita S, Da Silva L, De Oliveira N, Santos L, Da Silva D, De Sousa L, Da Silva J. USO DE TECNOLOGIAS DIGITAIS EM SAÚDE NO ENFRENTAMENTO DA PANDEMIA DE COVID-19: UMA REVISÃO. Revista Contemporânea 2024;4(1):4837 View
  27. Perlman A, Pickman Y, Dreyfuss M, Manes I, Bak P, Souroujon D, Paz E, Ebbert J, Zeltzer D. Digitally enabled asynchronous remote medical management of anxiety and depression: A cohort study. Journal of Telemedicine and Telecare 2024 View
  28. Hussein Ali Ramadhan , Abdullah A. Qadir , Roza E. Mirdan , Harem K. Ahmed , Imad J. Habibullah , Karukh K. Mohammed , Berun A. Abdalla , Fahmi H. Kakamad , Shvan H. Mohammed , Sabah Jalal Hasan , Fakher Abdullah . COVID-19 Ocular Manifestation: A Cross-Sectional Study. Barw Medical Journal 2024 View
  29. Avnat E, Samin M, Ben Joya D, Schneider E, Yanko E, Eshel D, Ovadia S, Lev Y, Souroujon D. The potential of evidence based clinical intake tools to discover or ground prevalence of symptoms using real-life virtual health encounters: a retrospective cohort study (Preprint). Journal of Medical Internet Research 2023 View