Machine learning-based time series forecasting with polygon-based emerging hotspot analysis for early warning of mpox in the United States
Mpox has raised great concern worldwide since its significant outbreak in 2022, marked by widespread transmission and high case numbers in non-endemic countries. Traditional surveillance systems often lag behind real-world outbreaks, underscoring the need for early warning tools capable of providing...
Tallennettuna:
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Taylor & Francis Group
2026-07-01
|
| Sarja: | Geo-spatial Information Science |
| Aiheet: | |
| Linkit: | https://www.tandfonline.com/doi/10.1080/10095020.2026.2706337 |
| Tagit: |
Ei tageja, Lisää ensimmäinen tagi!
|