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

Surveillance Systems (430) Infodemiology and Infoveillance (1278) Infectious Diseases (non-STD/STI) (1490) Influenza and Influenza-Like-Illness (ILI) Surveillance (203)

Published on in Vol 5, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11780, first published .
Flucast: A Real-Time Tool to Predict Severity of an Influenza Season

Flucast: A Real-Time Tool to Predict Severity of an Influenza Season

Flucast: A Real-Time Tool to Predict Severity of an Influenza Season

Authors of this article:

Aye Moa1 Author Orcid Image ;   David Muscatello2 Author Orcid Image ;   Abrar Chughtai2 Author Orcid Image ;   Xin Chen1 Author Orcid Image ;   C Raina MacIntyre1, 3 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Aye Moa   1 , PhD ;   David Muscatello   2 , PhD ;   Abrar Chughtai   2 , PhD ;   Xin Chen   1 , MPH ;   C Raina MacIntyre   1, 3 , PhD

1 Biosecurity Program, The Kirby Institute, University of New South Wales, Sydney, Australia

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

3 College of Health Solutions and College of Public Service & Community Solutions, Arizona State University, Tempe, AZ, United States

Corresponding Author:

  • Aye Moa, PhD
  • Biosecurity Program
  • The Kirby Institute
  • University of New South Wales
  • Gate 9, High Street
  • Sydney, NSW 2052
  • Australia
  • Phone: 61 02 93850938
  • Email: a.moa@unsw.edu.au