Czy AI może przewidywać rozprzestrzenianie się wirusa hanta na podstawie danych z wiadomości ?
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As of 2024, AI systems can ingest large volumes of multilingual news reports, pre-process them with named-entity recognition to extract event and case counts, and then feed those signals into epidemiological models that estimate hantavirus transmission risk. Several research prototypes have shown that combining transformer-based language models with compartmental models can reproduce historical outbreak patterns and provide short-term forecasts with accuracy comparable to traditional surveillance systems, although performance degrades when coverage of local media is sparse or biased. Public-health agencies have not yet integrated these AI pipelines into routine surveillance dashboards.
— Enriched May 12, 2026 · Source: World Health Organization
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Status last checked on May 12, 2026.
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