Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework
As the need for real-time, operational ID forecasting capabilities increases, this standardized and automated platform for data collection, analysis, and reporting is a major step forward in enabling evidence-based public health decisions and policies for the prevention and mitigation of future ID outbreaks.
Authors
- Colby Ham (ORCID: https://orcid.org/0000-0002-5071-1180)
- Karl Pazdernik (ORCID: https://orcid.org/0000-0003-1410-4006)
- Samantha Erwin (ORCID: https://orcid.org/0000-0002-5162-4193)
- Lauren Charles (ORCID: https://orcid.org/0000-0003-0727-0479)
- Samuel L. Dixon
- Ravikiran Keshavamurthy (ORCID: https://orcid.org/0000-0003-1041-3696)
Institutions
- North Carolina State University (US)
- Pacific Northwest National Laboratory (US)
- Washington State University (US)
Publication Details
- Journal
- JMIR Public Health and Surveillance
- Published
- 2024-12-24
- DOI
- https://doi.org/10.2196/59971
- Citations
- 2
- Primary Topic
- Viral Infections and Vectors
- Type
- article
- Field-Weighted Citation Impact
- 0.78