What is jhu backtests?

JHU backtests, also known as the Johns Hopkins University backtests, are a set of models developed by researchers at Johns Hopkins University to analyze the spread and impact of infectious diseases. These backtests are designed to simulate the spread of multiple infectious diseases, including influenza and COVID-19, in different geographic regions and populations.

The JHU backtests are widely recognized as one of the most accurate and reliable modeling techniques for predicting the spread and impact of infectious diseases. They use a variety of complex statistical models and data analysis techniques to estimate the number of infections, hospitalizations, and deaths that can occur in different scenarios.

The JHU backtests are regularly updated and refined as new data becomes available, helping to improve the accuracy and reliability of infectious disease predictions. The models are used by public health officials, policymakers, and researchers around the world to guide decision-making and develop effective strategies for controlling the spread of infectious diseases.