Researchers at Los Alamos National Laboratory are investigating the complex relationships between the spread of the HIV virus in a population (epidemiology) and the actual, rapid evolution of the virus (phylogenetics) within each patient’s body.
“We have developed novel ways of estimating epidemics dynamics such as who infected whom, and the true population incidence of infection versus mere diagnoses dates,” said Thomas Leitner, principal investigator.
“Obviously, knowledge about these things is important for public health monitoring, decision making and intervention campaigns, and further to forensic investigations.”
The team models the uninfected population using traditional differential equations on the computer; this is done for computational speed, because an agent-based component is much more demanding. Once a person is infected, he/she becomes an “agent” in computer modeling terms, and the model starts following their behavior individually, as well as the viral HIV evolution within the person.
Agent-based Modeling Clarifies Infection History