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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727)

Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18939, first published .
Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study

Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study

Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study

Authors of this article:

Elizabeth Benedict Kpozehouen1 Author Orcid Image ;   Xin Chen1 Author Orcid Image ;   Mengyao Zhu2 Author Orcid Image ;   C Raina Macintyre1 Author Orcid Image
Article Authors Cited by (12) Tweetations (8) Metrics

Journals

  1. Himmel M, Frey S. SARS-CoV-2: International Investigation Under the WHO or BWC. Frontiers in Public Health 2022;9 View
  2. Liu H, Tang Z, Zhao N, Qian W. Analysis and Simulations of Open-Source Intelligence Process System Dynamics from User’s Perspective. Computer Modeling in Engineering & Sciences 2023;134(1):541 View
  3. Verma M, Sharma P, Verma H, Singh A, Singh D, Verma P, Siddiqui A. Rapid diagnostic methods for SARS-CoV-2 (COVID-19) detection: an evidence-based report. Journal of Medicine and Life 2021;14(4):431 View
  4. Hou S, Zhang X, Yi B, Tang Y. Public attitudes on open source communities in China: A text mining analysis. Technology in Society 2022;71:102112 View
  5. MacIntyre C, Lim S, Quigley A. Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts. Cell Reports Medicine 2022;3(12):100867 View
  6. Mohamadi M, Lin Y, Vulliet M, Flahault A, Rozanova L, Fabre G. COVID-19 Vaccination Strategy in China: A Case Study. Epidemiologia 2021;2(3):402 View
  7. Hammouri H, Almomani F, Abdel Muhsen R, Abughazzi A, Daghmash R, Abudayah A, Hasan I, Alzein E. Lifestyle Variations during and after the COVID-19 Pandemic: A Cross-Sectional Study of Diet, Physical Activities, and Weight Gain among the Jordanian Adult Population. International Journal of Environmental Research and Public Health 2022;19(3):1346 View
  8. MacIntyre C, Chen X, Kunasekaran M, Quigley A, Lim S, Stone H, Paik H, Yao L, Heslop D, Wei W, Sarmiento I, Gurdasani D. Artificial intelligence in public health: the potential of epidemic early warning systems. Journal of International Medical Research 2023;51(3) View
  9. Stone H, Heslop D, Lim S, Sarmiento I, Kunasekaran M, MacIntyre C. Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study. JMIR Infodemiology 2023;3:e39895 View
  10. Zheng J, Zhang N, Shen G, Liang F, Zhao Y, He X, Wang Y, He R, Chen W, Xue H, Shen Y, Fu Y, Zhang W, Zhang L, Bhatt S, Mao Y, Zhu B. Spatiotemporal and Seasonal Trends of Class A and B Notifiable Infectious Diseases in China: Retrospective Analysis. JMIR Public Health and Surveillance 2023;9:e42820 View
  11. Chen X, Kalyar F, Chughtai A, MacIntyre C. Use of a risk assessment tool to determine the origin of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Risk Analysis 2024;44(8):1896 View
  12. Kannan A, Chen R, Akhtar Z, Sutton B, Quigley A, Morris M, MacIntyre C. Use of Open-Source Epidemic Intelligence for Infectious Disease Outbreaks, Ukraine, 2022. Emerging Infectious Diseases 2024;30(9) View