Analysis and spatiotemporal distribution of infectious disease early warning signals during a major flooding event: New South Wales and Queensland 2022 floods
OSINT-generated signals of disease in animals and humans appeared to associate with flooding as suggested by descriptive analysis. In flood-risk areas, OSINT surveillance can assist with preparedness and response to the health effects of weather events, including diarrheal and emerging infectious diseases.
Authors
- Abrar Ahmad Chughtai (ORCID: https://orcid.org/0000-0003-4203-7891)
- Adriana Notaras (ORCID: https://orcid.org/0000-0003-0251-9626)
- C. Raina MacIntyre (ORCID: https://orcid.org/0000-0002-3060-0555)
- Samsung Lim (ORCID: https://orcid.org/0000-0001-9838-8960)
Institutions
- UNSW Sydney (AU)
Publication Details
- Journal
- Public Health
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1016/j.puhe.2025.106013
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00