deathdaily

deathdaily predicts daily COVID-19 mortality counts over a seven-day horizon to support epidemiological analysis of pandemic trends.

Key Features:

• Short-Term Mortality Forecasting: Generates predictions of daily COVID-19 deaths up to seven days in advance.
• Trend and Resurgence Detection: Identifies patterns suggesting resurgence of COVID-19 mortality associated with emerging variants or epidemiological changes.
• Data-Driven Epidemiological Modeling: Produces mortality forecasts based on data-driven analytical models of COVID-19 death trends.

Scientific Applications:

• Epidemiological Modeling: Supports analysis of temporal trends in COVID-19 mortality.
• Public Health Surveillance: Assists monitoring of pandemic dynamics and detection of mortality surges.
• Intervention Impact Assessment: Enables evaluation of how vaccination campaigns and public health interventions influence mortality trends.

Methodology:

deathdaily applies data-driven predictive modeling to historical COVID-19 mortality data to forecast daily death counts over a seven-day prediction horizon.