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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...

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Bibliografiske detaljer
Principais autores: Zimu Song, Bingnan Li, Adriana Notaras, Samsung Lim, C. Raina MacIntyre
Format: Artigo
Sprog:Inglês
Udgivet: Taylor & Francis Group 2026-07-01
Serier:Geo-spatial Information Science
Fag:
Online adgang:https://www.tandfonline.com/doi/10.1080/10095020.2026.2706337
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