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

Clinical Information and Decision Making (1314) Surveillance Systems (427) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) JMIR Theme Issue: COVID-19 Special Issue (2388)

Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18948, first published .
Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences From Hubei, China

Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences From Hubei, China

Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences From Hubei, China

Authors of this article:

Mengchun Gong1 Author Orcid Image ;   Li Liu2 Author Orcid Image ;   Xin Sun3 Author Orcid Image ;   Yue Yang2 Author Orcid Image ;   Shuang Wang4 Author Orcid Image ;   Hong Zhu1, 2 Author Orcid Image
Article Authors Cited by (50) Tweetations (11) Metrics

Journals

  1. Budd J, Miller B, Manning E, Lampos V, Zhuang M, Edelstein M, Rees G, Emery V, Stevens M, Keegan N, Short M, Pillay D, Manley E, Cox I, Heymann D, Johnson A, McKendry R. Digital technologies in the public-health response to COVID-19. Nature Medicine 2020;26(8):1183 View
  2. Tebeje T, Klein J. Applications of e-Health to Support Person-Centered Health Care at the Time of COVID-19 Pandemic. Telemedicine and e-Health 2021;27(2):150 View
  3. Huang Q, Kang Y. Mathematical Modeling of COVID-19 Control and Prevention Based on Immigration Population Data in China: Model Development and Validation. JMIR Public Health and Surveillance 2020;6(2):e18638 View
  4. Nomura S, Yoneoka D, Shi S, Tanoue Y, Kawashima T, Eguchi A, Matsuura K, Makiyama K, Ejima K, Taniguchi T, Sakamoto H, Kunishima H, Gilmour S, Nishiura H, Miyata H. An assessment of self-reported COVID-19 related symptoms of 227,898 users of a social networking service in Japan: Has the regional risk changed after the declaration of the state of emergency?. The Lancet Regional Health - Western Pacific 2020;1:100011 View
  5. Javaid M, Haleem A, Singh R, Haq M, Raina A, Suman R. Industry 5.0: Potential Applications in COVID-19. Journal of Industrial Integration and Management 2020;05(04):507 View
  6. Olufadewa I, Adesina M, Ekpo M, Akinloye S, Iyanda T, Nwachukwu P, Kodzo L. Lessons from the coronavirus disease 2019 (COVID-19) pandemic response in China, Italy, and the U.S.: a guide for Africa and low- and middle-income countries. Global Health Journal 2021;5(1):56 View
  7. Teixeira R, Doetsch J. The multifaceted role of mobile technologies as a strategy to combat COVID-19 pandemic. Epidemiology and Infection 2020;148 View
  8. Lim H, Teo C, Ng C, Chiew T, Ng W, Abdullah A, Abdul Hadi H, Liew C, Chan C. An Automated Patient Self-Monitoring System to Reduce Health Care System Burden During the COVID-19 Pandemic in Malaysia: Development and Implementation Study. JMIR Medical Informatics 2021;9(2):e23427 View
  9. Wang T, Paschalidis A, Liu Q, Liu Y, Yuan Y, Paschalidis I. Predictive Models of Mortality for Hospitalized Patients With COVID-19: Retrospective Cohort Study. JMIR Medical Informatics 2020;8(10):e21788 View
  10. Piri R, Nøddeskou-Fink A, Høilund-Carlsen P. RESEARCH DURING THE COVID-19 PANDEMIC: THE USE OF CLOUD-BASED IMAGE ANALYSIS. Central Asian Journal of Medical Hypotheses and Ethics 2021;2(1):59 View
  11. Zhao Z, Ma Y, Mushtaq A, Rajper A, Shehab M, Heybourne A, Song W, Ren H, Tse Z. Applications of Robotics, Artificial Intelligence, and Digital Technologies During COVID-19: A Review. Disaster Medicine and Public Health Preparedness 2022;16(4):1634 View
  12. R Niakan Kalhori S, Bahaadinbeigy K, Deldar K, Gholamzadeh M, Hajesmaeel-Gohari S, Ayyoubzadeh S. Digital Health Solutions to Control the COVID-19 Pandemic in Countries With High Disease Prevalence: Literature Review. Journal of Medical Internet Research 2021;23(3):e19473 View
  13. Mahmud A, Chowdhury S, Sojib K, Chowdhury A, Quader M, Paul S, Saidy M, Uddin R, Engø-Monsen K, Buckee C. Participatory syndromic surveillance as a tool for tracking COVID-19 in Bangladesh. Epidemics 2021;35:100462 View
  14. Singh R, Haleem A, Javaid M, Kataria R, Singhal S. Cloud Computing in Solving Problems of COVID-19 Pandemic. Journal of Industrial Integration and Management 2021;06(02):209 View
  15. 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
  16. Abd-Alrazaq A, Hassan A, Abuelezz I, Ahmed A, Alzubaidi M, Shah U, Alhuwail D, Giannicchi A, Househ M. Overview of Technologies Implemented During the First Wave of the COVID-19 Pandemic: Scoping Review. Journal of Medical Internet Research 2021;23(9):e29136 View
  17. Rehse D, Tremöhlen F. Fostering participation in digital contact tracing. Information Economics and Policy 2021:100938 View
  18. Prado N, Biscarde D, Pinto Junior E, Santos H, Mota S, Menezes E, Oliveira J, Santos A. Ações de vigilância à saúde integradas à Atenção Primária à Saúde diante da pandemia da COVID-19: contribuições para o debate. Ciência & Saúde Coletiva 2021;26(7):2843 View
  19. 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;2:100118 View
  20. Godkov M, Shustov V, Kasholkina E. Dynamics and gender and age features of the COVID-19 EPIDEMIC process in Moscow (results of screening survey for 1.5 years). Laboratornaya sluzhba 2021;10(4):30 View
  21. Subramanian M, Shanmuga Vadivel K, Hatamleh W, Alnuaim A, Abdelhady M, V E S. The role of contemporary digital tools and technologies in COVID‐19 crisis: An exploratory analysis. Expert Systems 2022;39(6) View
  22. 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):146045822110657 View
  23. 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
  24. Frank J, Williams A. A simple tool for comparing benefits and ‘costs’ of COVID-19 exit strategies. Public Health 2020;188:4 View
  25. Barone S, Chakhunashvili A. Pandemetrics: systematically assessing, monitoring, and controlling the evolution of a pandemic. Quality & Quantity 2023;57(2):1701 View
  26. Huang F, Chen W, Sun W, Zhang L, Lu H. Chinese infection‐control strategies for COVID‐19 prevention: A qualitative study with confirmed cases. Public Health Nursing 2022;39(3):683 View
  27. Zhao S, Miao J, Zhao J, Naghshbandi N. A comprehensive and systematic review of the banking systems based on pay-as-you-go payment fashion and cloud computing in the pandemic era. Information Systems and e-Business Management 2023 View
  28. SAĞLAM E, TOPBAŞ E. Covid-19 Pozitif Tanısı Olan Hastanın Hastane Sürecinde ve Taburculuktan Sonra Hemşire Desteğinin Önemi: Olgu Sunumu. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi 2022;11(3):1274 View
  29. AlKnawy B, Kozlakidis Z, Tarkoma S, Bates D, Honkela A, Crooks G, Rhee K, McKillop M. Digital public health leadership in the global fight for health security. BMJ Global Health 2023;8(2):e011454 View
  30. Boyle J, Sparks R. Syndromic surveillance to detect disease outbreaks using time between emergency department presentations. Emergency Medicine Australasia 2022;34(1):92 View
  31. Jones T, Marimuthu K, Bearman G. Virtual Infection Prevention and Control in Low- and Middle-Income Countries. International Journal of Infectious Diseases 2022;117:93 View
  32. Dixon B, Holmes J. Managing Pandemics with Health Informatics. Yearbook of Medical Informatics 2021;30(01):069 View
  33. Gong M, Jiao Y, Gong Y, Liu L. Data standards and standardization: The shortest plank of bucket for the COVID-19 containment. The Lancet Regional Health - Western Pacific 2022;29:100565 View
  34. 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
  35. Theby M. Public Sector Cloud Computing Adoption and Utilization during COVID-19: An Agenda for Research and Practice. SSRN Electronic Journal 2022 View
  36. Amiri P, Nadri H, Bahaadinbeigy K. Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review. BMC Health Services Research 2023;23(1) View
  37. Alsaqqa H, Alwawi A. Digital intervention for public health: searching for implementing characteristics, concepts and recommendations: scoping review. Frontiers in Public Health 2023;11 View
  38. Townsend J, Hassler H, Lamb A, Sah P, Alvarez Nishio A, Nguyen C, Tew A, Galvani A, Dornburg A, Mahalingam S. Seasonality of endemic COVID-19. mBio 2023;14(6) View
  39. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View
  40. Xu J. The Current Status and Promotional Strategies for Cloud Migration of Hospital Information Systems in China: Strengths, Weaknesses, Opportunities, and Threats Analysis. JMIR Medical Informatics 2024;12:e52080 View
  41. Comer L, Donelle L, Hiebert B, Smith M, Kothari A, Stranges S, Gilliland J, Long J, Burkell J, Shelley J, Hall J, Shelley J, Cooke T, Ngole Dione M, Facca D. Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e47154 View

Books/Policy Documents

  1. Qazi S, Ahmad S, Raza K. Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis. View
  2. Zheng M. 2021 International Conference on Applications and Techniques in Cyber Intelligence. View
  3. Mane V, Patki S, Dhumma A, Apte K. Handbook of Research on Applied Intelligence for Health and Clinical Informatics. View
  4. Adetunji C, Olaniyan O, Adeyomoye O, Dare A, Adeniyi M, Alex E, Rebezov M, Garipova L, Shariati M. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis. View
  5. Mohapatra S, Satpathy S, Paul D. Applications of Artificial Intelligence in COVID-19. View
  6. Azam I, Usman M. Emerging Technologies During the Era of COVID-19 Pandemic. View
  7. Nagaraj A. COVID 19 – Monitoring with IoT Devices. View