Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19515, first published .
Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China

Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China

Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China

Authors of this article:

Qing Ye1, 2 Author Orcid Image ;   Jin Zhou1 Author Orcid Image ;   Hong Wu2 Author Orcid Image

Journals

  1. Kamal M. The triple-edged sword of COVID-19: understanding the use of digital technologies and the impact of productive, disruptive, and destructive nature of the pandemic. Information Systems Management 2020;37(4):310 View
  2. S. P, Velan B, S. C, F.V. J, P. V, K. J. Mobile technologies for contact tracing and prevention of COVID-19 positive cases: a cross- sectional study. International Journal of Pervasive Computing and Communications 2022;18(2):226 View
  3. Brown S, Rhee J, Guha A, Rao V. Innovation in Precision Cardio-Oncology During the Coronavirus Pandemic and Into a Post-pandemic World. Frontiers in Cardiovascular Medicine 2020;7 View
  4. Elmore J, Wang P, Kerr K, Schriger D, Morrison D, Brookmeyer R, Pfeffer M, Payne T, Currier J. Excess Patient Visits for Cough and Pulmonary Disease at a Large US Health System in the Months Prior to the COVID-19 Pandemic: Time-Series Analysis. Journal of Medical Internet Research 2020;22(9):e21562 View
  5. Wirth F, Johns M, Meurers T, Prasser F. Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review. JMIR mHealth and uHealth 2020;8(11):e22594 View
  6. Gholamzadeh M, Abtahi H, Safdari R. Suggesting a framework for preparedness against the pandemic outbreak based on medical informatics solutions: a thematic analysis. The International Journal of Health Planning and Management 2021;36(3):754 View
  7. Wei C. Research on university laboratory management and maintenance framework based on computer aided technology. Microprocessors and Microsystems 2020:103617 View
  8. Kelly J, Campbell K, Gong E, Scuffham P. The Internet of Things: Impact and Implications for Health Care Delivery. Journal of Medical Internet Research 2020;22(11):e20135 View
  9. Chang W. The influences of the COVID-19 pandemic on medical service behaviors. Taiwanese Journal of Obstetrics and Gynecology 2020;59(6):821 View
  10. Gerli P, Arakpogun E, Elsahn Z, Olan F, Prime K. Beyond contact-tracing: The public value of eHealth application in a pandemic. Government Information Quarterly 2021;38(3):101581 View
  11. Siddiqui S, Shakir M, Khan A, Dey I. Internet of Things (IoT) Enabled Architecture for Social Distancing During Pandemic. Frontiers in Communications and Networks 2021;2 View
  12. Kulikowski C. Pandemics: Historically Slow “Learning Curve” Leading to Biomedical Informatics and Vaccine Breakthroughs. Yearbook of Medical Informatics 2021;30(01):290 View
  13. K. G, M. R, Vinayachandra , K. K. Integration of Adaptive Technologies with Healthcare for the Early Identification and Control of COVID-19 Pandemic Disease. International Journal of Health Sciences and Pharmacy 2020:5 View
  14. Huang M, Wang J, Nicholas S, Maitland E, Guo Z. Development, Status Quo, and Challenges to China’s Health Informatization During COVID-19: Evaluation and Recommendations. Journal of Medical Internet Research 2021;23(6):e27345 View
  15. Kolasa K, Mazzi F, Leszczuk-Czubkowska E, Zrubka Z, Péntek M. State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review. JMIR mHealth and uHealth 2021;9(6):e23250 View
  16. Zhu N, Ferlie E, Castro-Sánchez E, Birgand G, Holmes A, Atun R, Kieltyka H, Ahmad R. Macro level factors influencing strategic responses to emergent pandemics: A scoping review. Journal of Global Health 2021;11 View
  17. Dong J, Wu H, Zhou D, Li K, Zhang Y, Ji H, Tong Z, Lou S, Liu Z. Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China. Journal of Medical Systems 2021;45(9) View
  18. Lyon V, LeRouge C, Fruhling A, Thompson M. Home testing for COVID-19 and other virus outbreaks: The complex system of translating to communities. Health Systems 2021;10(4):298 View
  19. Min-Allah N, Alahmed B, Albreek E, Alghamdi L, Alawad D, Alharbi A, Al-Akkas N, Musleh D, Alrashed S. A survey of COVID-19 contact-tracing apps. Computers in Biology and Medicine 2021;137:104787 View
  20. 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
  21. Wang H, Yuan X, Wang J, Sun C, Wang G. Telemedicine maybe an effective solution for management of chronic disease during the COVID-19 epidemic. Primary Health Care Research & Development 2021;22 View
  22. Leal-Neto O, Egger T, Schlegel M, Flury D, Sumer J, Albrich W, Babouee Flury B, Kuster S, Vernazza P, Kahlert C, Kohler P. Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study. JMIR Public Health and Surveillance 2021;7(11):e33576 View
  23. Almasri A. The Users’ Behavioral Intention to use Mobile Health-Tech Application to Prevent the Spreading of Coronavirus. South East European Journal of Economics and Business 2022;17(2):18 View
  24. Mukataeva Z, Dinmukhamedova A, Kabieva S, Baidalinova B, Khamzina S, Zekenova L, Aizman R. Comparative characteristics of developing morphofunctional features of schoolchildren from different climatic and geographical regions. Journal of Pediatric Endocrinology and Metabolism 2022;0(0) View
  25. Tilahun B, Gashu K, Mekonnen Z, Endehabtu B, Angaw D. Mapping the Role of Digital Health Technologies in Prevention and Control of COVID-19 Pandemic: Review of the Literature. Yearbook of Medical Informatics 2021;30(01):026 View
  26. Humayun M, Alsayat A. Prediction Model for Coronavirus Pandemic Using Deep Learning. Computer Systems Science and Engineering 2022;40(3):947 View
  27. Kim J, Park K. 6G and the Internet of Things: Topic Analysis. Journal of Industrial Integration and Management 2022;07(04):535 View
  28. Bannister-Tyrrell M, Chen M, Choi V, Miglietta A, Galea G. Systematic scoping review of the implementation, adoption, use, and effectiveness of digital contact tracing interventions for COVID-19 in the Western Pacific Region. The Lancet Regional Health - Western Pacific 2023;34:100647 View
  29. 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
  30. Gao J. The complementary and substitutive value of online health information. Health & Social Care in the Community 2022;30(5) View
  31. Boguslavsky D, Sharova N, Sharov K. Public Policy Measures to Increase Anti-SARS-CoV-2 Vaccination Rate in Russia. International Journal of Environmental Research and Public Health 2022;19(6):3387 View
  32. Negro-Calduch E, Azzopardi-Muscat N, Nitzan D, Pebody R, Jorgensen P, Novillo-Ortiz D. Health Information Systems in the COVID-19 Pandemic: A Short Survey of Experiences and Lessons Learned From the European Region. Frontiers in Public Health 2021;9 View
  33. Hasan I, Dhawan P, Rizvi S, Dhir S. Data analytics and knowledge management approach for COVID-19 prediction and control. International Journal of Information Technology 2023;15(2):937 View
  34. Wen L, Ou Z, Duan W, Zhu W, Xiao X, Zhang Y, Luo H, Cheng W, Lian W. Using a 5G network in hospitals to reduce nosocomial infection during the COVID-19 pandemic. Communications Medicine 2022;2(1) View
  35. Asadzadeh A, Mohammadzadeh Z, Fathifar Z, Jahangiri-Mirshekarlou S, Rezaei-Hachesu P. A framework for information technology-based management against COVID-19 in Iran. BMC Public Health 2022;22(1) View
  36. Wei L, Liu N, Chen J, Sun J. Topic Evolution of Chinese COVID-19 Policies Based on Co-Occurrence Clustering Network Analysis. Sustainability 2022;14(4):2411 View
  37. Feng X, Li Y, Hang Z, Fan Z, Yu Q, Xin R, Chien Y. TBR-NER: Research on COVID-19 Text Information Extraction Based on Joint Learning of Topic Recognition and Named Entity Recognition. Journal of Sensors 2022;2022:1 View
  38. Heinrichs H, Mueller F, Rohfleisch L, Schulz V, Talbot S, Kiessling F. Digitalization impacts the COVID-19 pandemic and the stringency of government measures. Scientific Reports 2022;12(1) View
  39. Ebubeogu A, Ozigbu C, Maswadi K, Seixas A, Ofem P, Conserve D. Predicting the number of COVID-19 infections and deaths in USA. Globalization and Health 2022;18(1) View
  40. Mehraeen E, Mehrtak M, SeyedAlinaghi S, Nazeri Z, Afsahi A, Behnezhad F, Vahedi F, Barzegary A, Karimi A, Mehrabi N, Dadras O, Jahanfar S. Technology in the Era of COVID-19: A Systematic Review of Current Evidence. Infectious Disorders - Drug Targets 2022;22(4) View
  41. NATHANI N, Hasan Z. IMPACT OF AI IN INTERNET OF MEDICAL THINGS FOR HEALTH CARE DELIVERY. International Journal of Engineering Technologies and Management Research 2021;8(8):18 View
  42. Fan Y, Wang Z, Deng S, Lv H, Wang F. The function and quality of individual epidemic prevention and control apps during the COVID-19 pandemic: A systematic review of Chinese apps. International Journal of Medical Informatics 2022;160:104694 View
  43. Liu S, Zheng D. Impacts of tourists’ trust, perception and acceptance of health quick response technology on responsible pandemic travel behaviours. Journal of Hospitality and Tourism Technology 2023;14(2):278 View
  44. Aborujilah A, Elsebaie A, Mokhtar S. IoT MEMS: IoT-Based Paradigm for Medical Equipment Management Systems of ICUs in Light of COVID-19 Outbreak. IEEE Access 2021;9:131120 View
  45. Zheng D, Liu S, Lu W. Do You Trust Digital Health Pass? Understanding Tourists’ Responses toward Using Health QR Codes in Pandemic Travel. Journal of China Tourism Research 2023;19(1):31 View
  46. Helal M, Palei T. Researching Impact of Country Technological Readiness for Digital Transformation and Advanced Technology Introduction for Value Creation. Vestnik of the Plekhanov Russian University of Economics 2023;20(2):178 View
  47. Nguyen T. Citizens' intentions to use e-government during the COVID-19 pandemic: integrating the technology acceptance model and perceived risk theory. Kybernetes 2023;52(7):2329 View
  48. Peplinski J, Pearce J. Economic Efficiency of an Open-Source National Medical Lab Software in Canada. Journal of Medical Systems 2023;47(1) View
  49. Liu C. An Analysis of Innovative Development Based on Computer Assisted in Promoting the International Transmission of Chinese Culture under the Background of Big Data. Applied Artificial Intelligence 2023;37(1) View
  50. Assaye B, Belachew M, Worku A, Birhanu S, Sisay A, Kassaw M, Mekonen H. Perception towards the implementation of telemedicine during COVID-19 pandemic: a cross-sectional study. BMC Health Services Research 2023;23(1) View
  51. DAŞ GEÇİM G, ALTINER YAŞ M. ASSOCIATIONS BETWEEN E-HEALTH LITERACY AND PERCEPTION OF CONTROL OF COVID-19 AMONG ADOLESCENTS. Samsun Sağlık Bilimleri Dergisi 2023;8(2):413 View
  52. Othman E, Werner P, Saxen F, Al-Hamadi A, Gruss S, Walter S. Automated Electrodermal Activity and Facial Expression Analysis for Continuous Pain Intensity Monitoring on the X-ITE Pain Database. Life 2023;13(9):1828 View
  53. Jiang J, Zheng Z. Personal Information Protection and Privacy Policy Compliance of Health Code Apps in China: Scale Development and Content Analysis. JMIR mHealth and uHealth 2023;11:e48714 View
  54. Tan M, Xia J, Luo H, Meng G, Zhu Z. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research. Computational and Structural Biotechnology Journal 2023;21:4697 View
  55. Mahapatra S, Sinha D. Smart h‐Chain: A blockchain based healthcare framework with insurance fraud detection. Transactions on Emerging Telecommunications Technologies 2024;35(4) View
  56. 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
  57. Zaerkabeh M, Dezfoulian H, Jalilian F. Knowledge management in dealing with the crisis of the COVID-19 pandemic: Review, evaluation and improvement strategies. International Journal of Disaster Risk Reduction 2024;111:104738 View
  58. Pasic M, Begic E, Kadic F, Gavrankapetanovic A, Pasic M. Development of neural network models for prediction of the outcome of COVID-19 hospitalized patients based on initial laboratory findings, demographics, and comorbidities. Journal of Family Medicine and Primary Care 2022;11(8):4488 View
  59. Sharma I, Tiwari V, Gupta S, Rana N. Examining the nexus between technostress and turnover intention: the moderating influence of PsyCap in Indian information management contexts. Journal of Enterprise Information Management 2024 View

Books/Policy Documents

  1. Liao H, Zhou Z, Zhou Y. Intelligent Human Computer Interaction. View
  2. Olalere M, Olalere O, Gan C, Alenezi H. COVID-19 and the Sustainable Development Goals. View
  3. Li X, Wang J. Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022). View
  4. . Industry 4.0 and Global Businesses. View
  5. Mbunge E, Ndumiso N, Kavu T, Dandajena K, Batani J, Fashoto S. The Science behind the COVID Pandemic and Healthcare Technology Solutions. View
  6. Aboobakuru M, Moosa S, Usman S, Shafeeu H. The Science behind the COVID Pandemic and Healthcare Technology Solutions. View
  7. Hussein S, Sami A. International Conference on Innovative Computing and Communications. View
  8. Demetriou D, Mathabe K, Lolas G, Dlamini Z. Society 5.0 and Next Generation Healthcare. View
  9. Church D. Clinical Laboratory Management. View