Public health

COVID-19

Nowcasting Models for Public Health Decision-Making Show Promise with Dynamic Parameter Selection

In public health, data availability significantly limits decision-making, particularly during epidemics. Traditional methods may not accurately reflect the trajectory of an outbreak. Nowcasting models can estimate eventual case counts by accounting for reporting delays but have limitations when applied to multiple surveillance systems. Researchers sought to address these problems by