Bioinformatics & AI

To control infectious diseases like COVID-19, public health officials rely on mathematical numbers called R0 and Rt, which measure how fast a virus is spreading. However, early calculations often struggle to account for the exact timing of when people become contagious, especially when they spread the virus before showing symptoms. Researchers developed a refined mathematical model that uses a specific bell-curve distribution to map these transmission intervals. By better accounting for presymptomatic spread, this framework provides a more accurate tool for predicting outbreaks, evaluating the success of lockdowns, and determining exact vaccination rates needed to protect communities.