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Daniel B. Neill

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#machine learning Preprint Oct 2026

Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health

The efficacy of traditional disease prediction is limited by spatial gaps and temporal lags, which impact the timing and targets of resource deployments. Outbreaks escalate undetected, chronic disease burdens are quantified years later, and at-risk populations in data-sparse regions remain unaddressed. Planetary geospa...

Arbaaz Muslim, Aviv Slobodkin, Katherine Wheeler-Martin et al. · 0 citations
Aug 2026

Flexibly Incorporating Prior Information Into Subset Scan Statistics

It is demonstrated that this approach maintains computational efficiency and exact detection of the highest-scoring subset for small-sized filter sets, and initial results for scaling to larger-sized filter sets are presented.

Daniel B. Neill, Shi-Zhan Gong, Ellie Haber et al. · 0 citations

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