Emergency services could plan their response and contain disease outbreak more effectively using an evolutionary analysis of public health data during a major disease outbreak like bird flu.

Evolutionary game theory is a mathematical tool that allows researchers to simulate various scenarios and predict outcomes. It essentially applies Darwinian selection to the contests, strategies, and analytics that various "actors" in the scenario might be involved. The Chinese team has now applied this approach to understanding the spread of disease and demonstrated that there are four main outcomes one might see with a pandemic in today's world all affected by the government response to the outbreak, the provision of healthcare, the isolation of patients and availability of treatments of the given disease.
Their approach tested on actual data from the 2009 outbreak of influenza A (H1N1) accords with a scenario involving active prevention and control, which led to limited casualties of the epidemic. The ongoing analysis of data associated with the current outbreak of Ebola might be exploited to ensure quarantine and control measures are put in place effectively to prevent widespread deaths from this lethal disease and likewise with future emergent pathogens.
Source-Eurekalert