The team utilized a variety of data sources, including confirmed case numbers, hospital admissions, and mobility data. They employed advanced epidemiological models to analyze this data, taking into account factors like the basic reproduction number (R0), incubation period, and effectiveness of different public health measures. By integrating these factors, they were able to simulate various scenarios and predict outcomes under different intervention strategies.
