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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMIR Theme Issue: COVID-19 Special Issue (2461) Infectious Diseases (non-STD/STI) (1592) Outbreak and Pandemic Preparedness and Management (1743)

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

Elizabeth Benedict Kpozehouen   1 , MBBS, MHM, MPH ;   Xin Chen   1 , MPH ;   Mengyao Zhu   2 , BS, MPH ;   C Raina Macintyre   1 , MBBS Hons 1, FRACP, FAFPHM, M App Epid, PhD

1 Biosecurity Program, The Kirby Institute for Infection and Immunity, University of New South Wales, Sydney, Australia

2 School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia

Corresponding Author:

  • Elizabeth Benedict Kpozehouen, MBBS, MHM, MPH
  • Biosecurity Program
  • The Kirby Institute for Infection and Immunity
  • University of New South Wales
  • Level 6 Wallace Wurth Building
  • University of New South Wales
  • Sydney, 2052
  • Australia
  • Phone: 61 93850082
  • Email: bettysanga@protonmail.com