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

JMIR Theme Issue: COVID-19 Special Issue (2452) Artificial Intelligence (1371) Internet of Things (79) Telehealth and Telemonitoring (1671) Machine Learning (1465) Secondary Use of Clinical Data for Research and Surveillance (366) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19104, first published .
Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

Authors of this article:

Aya Sedky Adly1 Author Orcid Image ;   Afnan Sedky Adly2, 3 Author Orcid Image ;   Mahmoud Sedky Adly4, 5 Author Orcid Image
Article Authors Cited by (101) Tweetations (21) Metrics

Journals

  1. Yigitcanlar T, Cugurullo F. The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities. Sustainability 2020;12(20):8548 View
  2. Lorencin I, Baressi Šegota S, Anđelić N, Blagojević A, Šušteršić T, Protić A, Arsenijević M, Ćabov T, Filipović N, Car Z. Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks. Journal of Personalized Medicine 2021;11(1):28 View
  3. Yang C, Zhang W, Pang Z, Zhang J, Zou D, Zhang X, Guo S, Wan J, Wang K, Pang W. A Low-Cost, Ear-Contactless Electronic Stethoscope Powered by Raspberry Pi for Auscultation of Patients With COVID-19: Prototype Development and Feasibility Study. JMIR Medical Informatics 2021;9(1):e22753 View
  4. Gaeta A, Loia V, Orciuoli F. A method based on Graph Theory and Three Way Decisions to evaluate critical regions in epidemic diffusion:. Applied Intelligence 2021;51(5):2939 View
  5. Paiva Proença Lobo Lopes F, Kitamura F, Prado G, Kuriki P, Garcia M, Lanza E. Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil. PLOS ONE 2021;16(2):e0245384 View
  6. Malik Y, Sircar S, Bhat S, Ansari M, Pande T, Kumar P, Mathapati B, Balasubramanian G, Kaushik R, Natesan S, Ezzikouri S, El Zowalaty M, Dhama K. How artificial intelligence may help the Covid‐19 pandemic: Pitfalls and lessons for the future. Reviews in Medical Virology 2021;31(5):1 View
  7. Javaid M, Khan I. Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic. Journal of Oral Biology and Craniofacial Research 2021;11(2):209 View
  8. Gianquintieri L, Brovelli M, Pagliosa A, Dassi G, Brambilla P, Bonora R, Sechi G, Caiani E. Mapping Spatiotemporal Diffusion of COVID-19 in Lombardy (Italy) on the Base of Emergency Medical Services Activities. ISPRS International Journal of Geo-Information 2020;9(11):639 View
  9. Yadav A, Verma D, Kumar A, Kumar P, Solanki P. The Perspectives of Biomarkers based Electrochemical Immunosensors, Artificial intelligence and the Internet of Medical Things towards COVID-19 Diagnosis and Management. Materials Today Chemistry 2021:100443 View
  10. Madanian S, Norris T, Parry D. Disaster eHealth: Scoping Review. Journal of Medical Internet Research 2020;22(10):e18310 View
  11. Chen J, See K. Artificial Intelligence for COVID-19: Rapid Review. Journal of Medical Internet Research 2020;22(10):e21476 View
  12. Salehi M, Mohammadi R, Ghaffari H, Sadighi N, Reiazi R. Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images. The British Journal of Radiology 2021;94(1121) View
  13. Adly A, Adly A, Adly M. Effects of laser acupuncture tele-therapy for rheumatoid arthritis elderly patients. Lasers in Medical Science 2022;37(1):499 View
  14. Adly A, Adly M, Adly A. Telemanagement of Home-Isolated COVID-19 Patients Using Oxygen Therapy With Noninvasive Positive Pressure Ventilation and Physical Therapy Techniques: Randomized Clinical Trial. Journal of Medical Internet Research 2021;23(4):e23446 View
  15. El Emam K, Mosquera L, Jonker E, Sood H. Evaluating the utility of synthetic COVID-19 case data. JAMIA Open 2021;4(1) View
  16. Martín J, Tena N, Asuero A. Current state of diagnostic, screening and surveillance testing methods for COVID-19 from an analytical chemistry point of view. Microchemical Journal 2021;167:106305 View
  17. Musulin J, Baressi Šegota S, Štifanić D, Lorencin I, Anđelić N, Šušteršič T, Blagojević A, Filipović N, Ćabov T, Markova-Car E. Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(8):4287 View
  18. Payedimarri A, Concina D, Portinale L, Canonico M, Seys D, Vanhaecht K, Panella M. Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(9):4499 View
  19. Saverino A, Baiardi P, Galata G, Pedemonte G, Vassallo C, Pistarini C. The Challenge of Reorganizing Rehabilitation Services at the Time of COVID-19 Pandemic: A New Digital and Artificial Intelligence Platform to Support Team Work in Planning and Delivering Safe and High Quality Care. Frontiers in Neurology 2021;12 View
  20. Amanatidis D, Mylona I, Kamenidou I, Mamalis S, Stavrianea A. Mining Textual and Imagery Instagram Data during the COVID-19 Pandemic. Applied Sciences 2021;11(9):4281 View
  21. Adly A, Adly A, Adly M, Ali M. A novel approach utilizing laser acupuncture teletherapy for management of elderly-onset rheumatoid arthritis: A randomized clinical trial. Journal of Telemedicine and Telecare 2021;27(5):298 View
  22. Alhasan M, Hasaneen M. Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic. Computerized Medical Imaging and Graphics 2021;91:101933 View
  23. Dabbagh R, Jamal A, Temsah M, Masud J, Titi M, Amer Y, Alkubeyyer M, Alhazmi T, Baothman F, Hneiny L. Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review. Computer Methods and Programs in Biomedicine 2021;205:105993 View
  24. Valtchev S, Asgary A, Chen M, Cronemberger F, Najafabadi M, Cojocaru M, Wu J. Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data. Electronics 2021;10(14):1626 View
  25. Hussein T, Hammad M, Fung P, Al-Kloub M, Odeh I, Zaidan M, Wraith D. COVID-19 Pandemic Development in Jordan—Short-Term and Long-Term Forecasting. Vaccines 2021;9(7):728 View
  26. Nasseef O, Baabdullah A, Alalwan A, Lal B, Dwivedi Y. Artificial intelligence-based public healthcare systems: G2G knowledge-based exchange to enhance the decision-making process. Government Information Quarterly 2022;39(4):101618 View
  27. Lau Y, Lau K, Ibrahim N. Management of Parkinson’s Disease in the COVID-19 Pandemic and Future Perspectives in the Era of Vaccination. Journal of Movement Disorders 2021;14(3):177 View
  28. Khan J, Khan J, Ali F, Ullah F, Bacha J, Lee S. Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review. IEEE Access 2022;10:62613 View
  29. Dwivedi R, Mehrotra D, Chandra S. Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review. Journal of Oral Biology and Craniofacial Research 2022;12(2):302 View
  30. Hussein T, Hammad M, Surakhi O, AlKhanafseh M, Fung P, Zaidan M, Wraith D, Ershaidat N. Short-Term and Long-Term COVID-19 Pandemic Forecasting Revisited with the Emergence of OMICRON Variant in Jordan. Vaccines 2022;10(4):569 View
  31. Cobeñas R, de Vedia M, Florez J, Jaramillo D, Ferrari L, Re R. Rendimiento diagnóstico de algoritmos de inteligencia artificial para detección de compromiso pulmonar por COVID-19 basados en radiografía portátil. Medicina Clínica 2023;160(2):78 View
  32. Issar R, Jayam C, Lokade A, Agrawal A, Vashisth S, Kalidoss V. Survey vis-à-vis “Information Acquirement Systems” Available for Indian Dentists in the Wake of COVID-19 Crisis. Journal of South Asian Association of Pediatric Dentistry 2021;4(2):90 View
  33. Gianquintieri L, Brovelli M, Pagliosa A, Dassi G, Brambilla P, Bonora R, Sechi G, Caiani E. Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning. International Journal of Environmental Research and Public Health 2022;19(15):9012 View
  34. Roland T, Böck C, Tschoellitsch T, Maletzky A, Hochreiter S, Meier J, Klambauer G. Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests. Journal of Medical Systems 2022;46(5) View
  35. Heyen N, Salloch S. The ethics of machine learning-based clinical decision support: an analysis through the lens of professionalisation theory. BMC Medical Ethics 2021;22(1) View
  36. Cobeñas R, de Vedia M, Florez J, Jaramillo D, Ferrari L, Re R. Diagnostic performance of artificial intelligence algorithms for detection of pulmonary involvement by COVID-19 based on portable radiography. Medicina Clínica (English Edition) 2023;160(2):78 View
  37. de Sá A, Carvalho J, Naves E. Reflections on epistemological aspects of artificial intelligence during the COVID-19 pandemic. AI & SOCIETY 2023;38(4):1601 View
  38. Su J, Zhao S, Lakshmanna K. An Interactive Nursing Knowledge System Based on Artificial Intelligence and Its Implications for Neonatal Care Management. Wireless Communications and Mobile Computing 2022;2022:1 View
  39. Ali Al Shehri S, Al-Sulaiman A, Azmi S, Alshehri S. Bio-safety and bio-security: A major global concern for ongoing COVID-19 pandemic. Saudi Journal of Biological Sciences 2022;29(1):132 View
  40. Darbandi M, Alrasheedi A, Alnowibet K, Javaheri D, Mehbodniya A. Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic. Information Systems and e-Business Management 2022 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. González-Revuelta M, Novas N, Gázquez J, Rodríguez-Maresca M, García-Torrecillas J. User Perception of New E-Health Challenges: Implications for the Care Process. International Journal of Environmental Research and Public Health 2022;19(7):3875 View
  43. Albert C, Baez A, Hunter L, Heslen J, Rutland J. Epidemiological intelligence fusion centers: health security and COVID-19 in the Dominican Republic. Intelligence and National Security 2023;38(1):90 View
  44. Yang L, Iwami M, Chen Y, Wu M, van Dam K. Computational decision-support tools for urban design to improve resilience against COVID-19 and other infectious diseases: A systematic review. Progress in Planning 2023;168:100657 View
  45. Uthman O, Adetokunboh O, Wiysonge C, Al-Awlaqi S, Hanefeld J, El Bcheraoui C. Classification Schemes of COVID-19 High Risk Areas and Resulting Policies: A Rapid Review. Frontiers in Public Health 2022;10 View
  46. Rahmani A, Azhir E, Naserbakht M, Mohammadi M, Aldalwie A, Majeed M, Taher Karim S, Hosseinzadeh M. Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review. Multimedia Tools and Applications 2022;81(20):28779 View
  47. Pervushkin S, Zelter P, Kramm E, Sartakova E. Comparison of Intra- and Inter-Observer Consistency (Intra-Expert Reliability, Inter-Expert Reliability) in Assessing the Extent of COVID-19 Pneumonia Lesions on Chest Computed Tomography. Annals of the Russian academy of medical sciences 2022;77(2):97 View
  48. NAKAMURA K, MAZAKI L, HAYASHI Y, TSUJI T, FURUSAWA H. Predicting the Classification of Home Oxygen Therapy for Post-COVID-19 Rehabilitation Patients Using a Neural Network. Physical Therapy Research 2022;25(3):99 View
  49. Arora G, Joshi J, Mandal R, Shrivastava N, Virmani R, Sethi T. Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19. Pathogens 2021;10(8):1048 View
  50. Wu H, Lu X, Wang H. The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review. JMIR AI 2023;2:e38397 View
  51. Tillaguango Jiménez J. Revisión Sistemática de Literatura: Análisis de viabilidad para la detección y diagnóstico de Covid-19, aplicando modelos de Inteligencia Artificial (IA). CEDAMAZ 2021;11(2):142 View
  52. Jiang Y, Mosquera L, Jiang B, Kong L, El Emam K, Zhou J. Measuring re-identification risk using a synthetic estimator to enable data sharing. PLOS ONE 2022;17(6):e0269097 View
  53. Kamarzarrin M, eghbal n. Modeling of self-assessment system of COVID-19 disease diagnosis using Type-2 Sugeno fuzzy inference system. Journal of Control 2021;14(5):49 View
  54. Al Ewaidat H, Abdel Samee N, Allam J, Patro K, Pławiak P, Mahmoud N, Hammad M, Dogra A. The Knowledge and Perception about COVID-19 among Medical Imaging Professionals. Health & Social Care in the Community 2023;2023:1 View
  55. Kaushik H, Singh D, Tiwari S, Kaur M, Jeong C, Nam Y, Attique Khan M. Screening of COVID-19 Patients Using Deep Learning and IoT Framework. Computers, Materials & Continua 2021;69(3):3459 View
  56. Lee K. How Are Material Values and Voluntary Simplicity Lifestyle Related to Attitudes and Intentions toward Commercial Sharing during the COVID-19 Pandemic? Evidence from Japan. Sustainability 2022;14(13):7812 View
  57. Djenouri Y, Belhadi A, Yazidi A, Srivastava G, Lin J. Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism. Expert Systems 2024;41(6) View
  58. Das S, Bose I, Sarkar U. Predicting the outbreak of epidemics using a network-based approach. European Journal of Operational Research 2023;309(2):819 View
  59. Agarwal P, Swami S, Malhotra S. Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review. Journal of Science and Technology Policy Management 2024;15(3):506 View
  60. Ali L, E. A. Alnawayseh S, Salahat M, M. Ghazal T, A. A. Tomh M, Mago B. AI-Based Intelligent Model to Predict Epidemics Using Machine Learning Technique. Intelligent Automation & Soft Computing 2023;36(1):1095 View
  61. Vishwakarma L, Singh R, Mishra R, Kumari A. Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions. International Journal of Production Research 2023:1 View
  62. Bibri S, Alexandre A, Sharifi A, Krogstie J. Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review. Energy Informatics 2023;6(1) View
  63. GONDI S, CHOKSHI D. Cities as Platforms for Population Health: Past, Present, and Future. The Milbank Quarterly 2023;101(S1):242 View
  64. Kumar M, Kumar A, Verma S, Bhattacharya P, Ghimire D, Kim S, Hosen A. Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues. Electronics 2023;12(9):2050 View
  65. Dabbagh R, Jamal A, Bhuiyan Masud J, Titi M, Amer Y, Khayat A, Alhazmi T, Hneiny L, Baothman F, Alkubeyyer M, Khan S, Temsah M. Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review. Cureus 2023 View
  66. Kottler J, Khosla S, Recio V, Chestek D, Shanks J, Larimer K, Hoek T. Evaluating an Advanced Practice Provider-Managed Coronavirus Disease 2019 Deterioration Program. The Journal for Nurse Practitioners 2023;19(9):104754 View
  67. Shao C, Zhang H. Climate change characteristics and population health impact factors using deep neural network and hyperautomation mechanism. The Journal of Supercomputing 2024;80(7):8637 View
  68. Kulkov I, Kulkova J, Leone D, Rohrbeck R, Menvielle L. Stand-alone or run together: artificial intelligence as an enabler for other technologies. International Journal of Entrepreneurial Behavior & Research 2024;30(8):2082 View
  69. Tao P, Liu N, Dong C. Research progress of MIoT and digital healthcare in the new era. Clinical eHealth 2024;7:1 View
  70. Ajagbe S, Awotunde J, Florez H. Ensuring Intrusion Detection for IoT Services Through an Improved CNN. SN Computer Science 2023;5(1) View
  71. Thangaraju P, Sudha TY S, Velmurugan H, Thangaraju E, Chirumamilla K, Chakrabarti T, Chakrabarti P. A Registry-based Audit of a Current Situation of Clinical Research in COVID-19 Using Artificial Intelligence Techniques: A Systematic Review. Coronaviruses 2023;4(4) View
  72. Chen A, Zhao Y, Zheng Y, Hu H, Hu X, Fishe J, Hogan W, Shenkman E, Guo Y, Bian J. Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization. Informatics 2024;11(1):4 View
  73. Chen P, Cheng Y, Zhong Z, Zhang F, Pai N, Li C, Lin C. Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS). IEEE Access 2024;12:9757 View
  74. Lyu S, Adegboye O, Adhinugraha K, Emeto T, Taniar D. Analysing the impact of comorbid conditions and media coverage on online symptom search data: a novel AI-based approach for COVID-19 tracking. Infectious Diseases 2024;56(5):348 View
  75. Mushebenge A, Ugbaja S, Mbatha N, Khan R, Kumalo H. Unravelling Insights into the Evolution and Management of SARS-CoV-2. BioMedInformatics 2024;4(1):385 View
  76. Afyouni I, Hashim I, Aghbari Z, Elsaka T, Almahmoud M, Abualigah L. Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond. Applied Spatial Analysis and Policy 2024;17(3):1359 View
  77. Ahuja V, Nair L. Artificial Intelligence and technology in COVID Era. Journal of Anaesthesiology Clinical Pharmacology 2021;37(1):28 View
  78. Henny , Syakurah R. COVID-19 CONTACT TRACING WITH SILACAK APP BY HEALTH CENTER TRACERS IN NORTH MUSI RAWAS. Darmabakti Cendekia: Journal of Community Service and Engagements 2023;5(2):82 View
  79. Shanbehzadeh M, Nopour R, Kazemi-Arpanahi H. Internet of Things (IoT) Adoption Model for Early Identification and Monitoring of COVID-19 Cases. International Journal of Preventive Medicine 2022;13(1):112 View

Books/Policy Documents

  1. Adly A, Adly A, Adly M. Healthcare Paradigms in the Internet of Things Ecosystem. View
  2. Szewczyk R, Janik K. Control, Computer Engineering and Neuroscience. View
  3. Roman R. Computer Science and Health Engineering in Health Services. View
  4. Alansari H, Gerwe O, Razzaque A. The Big Data-Driven Digital Economy: Artificial and Computational Intelligence. View
  5. Uddin M, Munni M. Vision, Sensing and Analytics: Integrative Approaches. View
  6. Velpula B, Jha S, Selvanambi R. Proceedings of International Conference on Data Science and Applications. View
  7. Privorotskaya S, Vishnevskiy K, Shcherbakov R. COVID-19 and Society. View
  8. Wainwright S. Health Informatics and Patient Safety in Times of Crisis. View
  9. Rong G, Zheng Y, Chen Y, Zhang Y, Zhu P, Sawan M. Encyclopedia of Sensors and Biosensors. View
  10. Wan Y, van Wamelen D, Lau Y, Rota S, Tan E. Covid-19 and Parkinsonism. View
  11. Lefèvre T, Colineaux H, Morgand C, Tournois L, Delpierre C. Artificial Intelligence in Covid-19. View
  12. Verma S, Malviya R, Alam M, Tripathi B. Deep Learning for Targeted Treatments. View
  13. Sharma R, Chakraborty P, Barman S. Modern Approaches in Waste Bioremediation. View
  14. Różyło-Kalinowska I, Orhan K. Artificial Intelligence in Dentistry. View
  15. Sundar R, Srikaanth P, Naik D, Murugan V, Karumudi M, Boopathi S. Semantic Web Technologies and Applications in Artificial Intelligence of Things. View
  16. Adly A, Adly A, Malthiery E, Shah S, Estephan E, Adly M. IoT Edge Intelligence. View
  17. Agrawal Y, Nath B. Future of AI in Biomedicine and Biotechnology. View
  18. Kostadinov R, Topalov V, Georgieva M, Georgiev S, Madzharov Y. Environmental Protection and Disaster Risks (EnviroRisks 2024). View
  19. Papadopoulou P, Apostolaki S, Lytras M, Konstantinopoulou S. Policies, Initiatives, and Innovations for Global Health. View