The field of epidemiological modeling is constantly evolving. Future developments for Covidestim may include incorporating additional data sources, such as wastewater analysis or mobility data, to enhance the accuracy of its estimates. Advances in computational power and machine learning algorithms could also improve the model's predictive capabilities. Additionally, expanding the model to cover other infectious diseases could make Covidestim a valuable tool for ongoing public health surveillance.
