Real-time epidemiological surveillance data: tracking the occurrences of avian influenza outbreaks around the world
The dataset includes comprehensive and up-to-date information on epidemiological patterns, including geographic spread, incidence rates, and demographic factors. Collected through systematic monitoring and reporting systems, this dataset is invaluable to researchers seeking to understand the evolving nature of avian influenza outbreaks in the global context. By sharing these data, we aim to contribute to the collective knowledge base by supporting evidence-based strategies for effective public health management and intervention.
Authors
- Fabio Scarpa (ORCID: https://orcid.org/0000-0002-3501-714X)
- Ranjan K. Mohapatra (ORCID: https://orcid.org/0000-0001-7623-3343)
- Lawrence Sena Tuglo (ORCID: https://orcid.org/0000-0001-8695-2384)
- Francesco Branda (ORCID: https://orcid.org/0000-0002-9485-3877)
- Massimo Ciccozzi (ORCID: https://orcid.org/0000-0003-3866-9239)
Institutions
- Università Campus Bio-Medico (IT)
- University of Sassari (IT)
- University of Health and Allied Sciences (GH)
- Government College of Engineering, Keonjhar (IN)
Publication Details
- Journal
- BMC Research Notes
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1186/s13104-024-07042-w
- Citations
- 6
- Primary Topic
- Animal Disease Management and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 9.51