Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39895, first published .
Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study

Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study

Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study

Haley Stone   1 , BSc, MIDI, MIPH ;   David Heslop   2 , BSc (Hons), MBBS, MPH, PhD ;   Samsung Lim   3 , BA, MA, PhD ;   Ines Sarmiento   1 , BSc, BE (Hons) ;   Mohana Kunasekaran   1 , BSc, MPH, MIPH, PhD ;   C Raina MacIntyre   1, 4 , MBBS (Hons), MAE, PhD

1 Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia

2 School of Population Health, Faculty of Medicine, University of New South Wales, Sydney, Australia

3 School of Civil & Environmental Engineering, University of New South Wales, Sydney, Australia

4 College of Public Service & Community Solutions, Arizona State University, Tempe, AZ, United States

Corresponding Author:

  • Haley Stone, BSc, MIDI, MIPH
  • Biosecurity Program, The Kirby Institute, Faculty of Medicine
  • University of New South Wales
  • Level 6 Wallace Wurth Building
  • High Street
  • Kensington, 2052
  • Australia
  • Phone: 61 2 9348 0672
  • Email: haley.c.stone@protonmail.com