Published on in Vol 22 , No 10 (2020) :October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/21299, first published
.

Journals
- Siddique S, Chow J. Machine Learning in Healthcare Communication. Encyclopedia 2021;1(1):220 View
- 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
- Munsch N, Martin A, Gruarin S, Nateqi J, Abdarahmane I, Weingartner-Ortner R, Knapp B. Authors’ Reply to: Screening Tools: Their Intended Audiences and Purposes. Comment on “Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study”. Journal of Medical Internet Research 2021;23(5):e26543 View
- Millen E, Gilsdorf A, Fenech M, Gilbert S. Screening Tools: Their Intended Audiences and Purposes. Comment on “Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study”. Journal of Medical Internet Research 2021;23(5):e26148 View
- Umair M, Cheema M, Cheema O, Li H, Lu H. Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT. Sensors 2021;21(11):3838 View
- Deng L, Chen L, Yang T, Liu M, Li S, Jiang T. Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study. Journal of Medical Internet Research 2021;23(6):e26892 View
- Morales H, Guedes M, Silva J, Massuda A. COVID-19 in Brazil—Preliminary Analysis of Response Supported by Artificial Intelligence in Municipalities. Frontiers in Digital Health 2021;3 View
- Snitz K, Honigstein D, Weissgross R, Ravia A, Mishor E, Perl O, Karagach S, Medhanie A, Harel N, Shushan S, Roth Y, Iravani B, Arshamian A, Ernst G, Okamoto M, Poo C, Bonacchi N, Mainen Z, Monteleone E, Dinnella C, Spinelli S, Mariño-Sánchez F, Ferdenzi C, Smeets M, Touhara K, Bensafi M, Hummel T, Lundström J, Sobel N. An olfactory self-test effectively screens for COVID-19. Communications Medicine 2022;2(1) View
- 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
- Kadirvelu B, Burcea G, Quint J, Costelloe C, Faisal A. Variation in global COVID-19 symptoms by geography and by chronic disease: A global survey using the COVID-19 Symptom Mapper. eClinicalMedicine 2022;45:101317 View
- Wilson L, Marasoiu M. The Development and Use of Chatbots in Public Health: Scoping Review. JMIR Human Factors 2022;9(4):e35882 View
- Liu A, Odisho A, Brown III W, Gonzales R, Neinstein A, Judson T. Patient Experience and Feedback After Using an Electronic Health Record–Integrated COVID-19 Symptom Checker: Survey Study. JMIR Human Factors 2022;9(3):e40064 View
- 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
- Chiu H, Hwang C, Chen S, Shih F, Han H, King C, Gilbert J, Fang C, Oyang Y. Machine learning for emerging infectious disease field responses. Scientific Reports 2022;12(1) View
- Hennemann S, Kuhn S, Witthöft M, Jungmann S. Diagnostic Performance of an App-Based Symptom Checker in Mental Disorders: Comparative Study in Psychotherapy Outpatients. JMIR Mental Health 2022;9(1):e32832 View
- Amiri P, Karahanna E. Chatbot use cases in the Covid-19 public health response. Journal of the American Medical Informatics Association 2022;29(5):1000 View
- 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
- Doğan P, Güney Varal İ, Ararat A, Güler Kazancı E. Evaluation of Red Blood Cell Distribution Width-Platelet Ratio as an Early Predictor of Late-Onset Sepsis in Preterm Infants. Güncel Pediatri 2022;20(1):27 View
- Po (Harvey) Chin Y, Song W, Islam M, Bates D, Zhou L, Chuan (Jack) Li Y. Sequential coupling of dry and wet COVID-19 screening to reduce the number of quarantined individuals. Computer Methods and Programs in Biomedicine 2022;218:106715 View
- Zobel M, Knapp B, Nateqi J, Martin A, V. E. S. Correlating global trends in COVID-19 cases with online symptom checker self-assessments. PLOS ONE 2023;18(2):e0281709 View
- Michel J, Kilb T, Mettler A, Müller M, Hautz W, Hautz S, Sauter T. The Utility of an Online Forward Triage Tool During the SARS-CoV-2 Pandemic: Health Care Provider and Health Authority Perspectives. Frontiers in Public Health 2022;10 View
- de Campos Filho A, Vasconcelos Cursino J, do Nascimento J, de Souza R, da Silva Lima Roque G, de Souza Cavalcanti A. Content and Usability Validation of an Intelligent Virtual Conversation Assistant Used for Virtual Triage During the COVID-19 Pandemic in Brazil. CIN: Computers, Informatics, Nursing 2022;40(11):779 View
- Judson T, Pierce L, Tutman A, Mourad M, Neinstein A, Shuler G, Gonzales R, Odisho A. Utilization patterns and efficiency gains from use of a fully EHR-integrated COVID-19 self-triage and self-scheduling tool: a retrospective analysis. Journal of the American Medical Informatics Association 2022;29(12):2066 View
- Megahed N, Abdel-Kader R. Smart Cities after COVID-19: Building a conceptual framework through a multidisciplinary perspective. Scientific African 2022;17:e01374 View
- Liu V, Kaila M, Koskela T. User initiated symptom assessment with an electronic symptom checker. Study protocol for mixed-methods validation. (Preprint). JMIR Research Protocols 2022 View
- Hogeveen S, Donaghy-Hughes M, Nova A, Saari M, Sinn C, Northwood M, Heckman G, Geffen L, Hirdes J. The interRAI COVID-19 vulnerability screener: Results of a health surveillance initiative for vulnerable adults in the community during the COVID-19 pandemic. Archives of Gerontology and Geriatrics 2023;113:105056 View
- Lin S, Nateqi J, Weingartner-Ortner R, Gruarin S, Marling H, Pilgram V, Lagler F, Aigner E, Martin A. An artificial intelligence-based approach for identifying rare disease patients using retrospective electronic health records applied for Pompe disease. Frontiers in Neurology 2023;14 View
Books/Policy Documents
- Etienne L, Faux F, Roecker O. Artificial Intelligence in Medicine. View
- Singh A, Virdi K, Choudhary A. Impact of AI and Data Science in Response to Coronavirus Pandemic. View
- Aftab H, Gautam V, Hawkins R, Alexander R, Habli I. Wireless Mobile Communication and Healthcare. View
- Filchev R, Pavlova D, Dimova R, Dovramadjiev T. Human Interaction, Emerging Technologies and Future Systems V. View