Published on in Vol 20, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10886, first published .
Cloud Computing for Infectious Disease Surveillance and Control: Development and Evaluation of a Hospital Automated Laboratory Reporting System

Cloud Computing for Infectious Disease Surveillance and Control: Development and Evaluation of a Hospital Automated Laboratory Reporting System

Cloud Computing for Infectious Disease Surveillance and Control: Development and Evaluation of a Hospital Automated Laboratory Reporting System

Journals

  1. Hsieh P, Lin W. Understanding the performance impact of the epidemic prevention cloud: an integrative model of the task-technology fit and status quo bias. Behaviour & Information Technology 2020;39(8):899 View
  2. Al-Zinati M, Alrashdan R, Al-Duwairi B, Aloqaily M. A re-organizing biosurveillance framework based on fog and mobile edge computing. Multimedia Tools and Applications 2021;80(11):16805 View
  3. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156 View
  4. Leclère B, Buckeridge D, Lepelletier D. Evaluation of a web-based tool for labelling potential hospital outbreaks: a mixed methods study. Journal of Hospital Infection 2019;103(2):210 View
  5. George J, Häsler B, Mremi I, Sindato C, Mboera L, Rweyemamu M, Mlangwa J. A systematic review on integration mechanisms in human and animal health surveillance systems with a view to addressing global health security threats. One Health Outlook 2020;2(1) View
  6. Du X, Zhao X, Gao H, Shen W, Liao J. Analysis of Monitoring, Early Warning and Emergency Response System for New Major Infectious Diseases in China and Overseas. Current Medical Science 2021;41(1):62 View
  7. Aldahiri A, Alrashed B, Hussain W. Trends in Using IoT with Machine Learning in Health Prediction System. Forecasting 2021;3(1):181 View
  8. Li L, Novillo-Ortiz D, Azzopardi-Muscat N, Kostkova P. Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews. Frontiers in Public Health 2021;9 View
  9. Yeh C, Peng S, Yang H, Islam M, Poly T, Hsu C, Huff S, Chen H, Lin M. Logical Observation Identifiers Names and Codes (LOINC®) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan. Diagnostics 2021;11(9):1564 View
  10. Aghdassi S, Kohlmorgen B, Schröder C, Peña Diaz L, Thoma N, Rohde A, Piening B, Gastmeier P, Behnke M. Implementation of an automated cluster alert system into the routine work of infection control and hospital epidemiology: experiences from a tertiary care university hospital. BMC Infectious Diseases 2021;21(1) View
  11. Rath S. Trends in using IoT with machine learning in smart health assessment. International journal of health sciences 2022:3335 View
  12. Guo C, Wu J. Pathogen Discovery in the Post-COVID Era. Pathogens 2024;13(1):51 View

Books/Policy Documents

  1. Thottempudi P. Sustainable Science and Intelligent Technologies for Societal Development. View