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Found 2 papers, 1 papers with code
Inferring COVID-19 spreading rates and potential change points for case number forecasts
As COVID-19 is rapidly spreading across the globe, short-term modeling forecasts provide time-critical information for decisions on containment and mitigation strategies.
Sampling effects and measurement overlap can bias the inference of neuronal avalanches
To date, it is still impossible to sample the entire mammalian brain with single-neuron precision.
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