Projecting Course COVID-19 Turkey

The "Projecting Course COVID-19 Turkey" is a Bayesian negative binomial multilevel model with mixed effects specifically developed to project the progress of the COVID-19 pandemic in Turkey. This approach provides a nuanced analysis leveraging statistical methodologies to predict the trajectory of the pandemic under various containment measures and management protocols.

Key Features and Functionalities:

Bayesian Negative Binomial Multilevel Model: This model utilizes a sophisticated statistical framework to analyze and project the course of the COVID-19 pandemic, offering a high degree of accuracy in its predictions.

- Mixed Effects for Dynamic Projection: The model accounts for mixed effects, enabling it to adapt to changing conditions and provide projections that reflect the potential impact of various factors on the pandemic's trajectory.

- Prediction Intervals (PI): Provides projections with 80%, 95%, and 99% prediction intervals, offering a range of scenarios based on the confidence levels of the data and model predictions.

- Application to the Turkish Case: Specifically applied to the COVID-19 situation in Turkey, offering insights into the potential progression of the pandemic based on early March to late June data.

- Predictive Validity Analysis: This includes a predictive validity analysis that suggests that the model's projections should maintain a PI of around 95% for the first 12 days, indicating a high level of reliability in the short term.