Can Algorithms Predict the Spread of Infectious Diseases?
Yes, algorithms can predict the spread of infectious diseases through models like the SIR model (Susceptible, Infected, Recovered) and its variants. These models use differential equations to simulate the transmission dynamics of infectious diseases within a population. More advanced models, such as agent-based models, simulate interactions between individuals to provide a more granular view of how diseases spread.
