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

Muslim, Arbaaz et al.
arXiv (All) · Papers
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computers-and-societymachine-learning
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 unaddress
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