1. A predictive data development method that models host-pathogen interactions based on simulated actions, interactions and at least one feedback loop executed by a suitably programmed computer, said method comprising: a) identifying a plurality of biological events associated with said interactions; b) identifying for each of said biological events at least one host agent and at least one pathogen agent associated with said events; c) identifying at least one action for each of said at least one host agent and said pathogen agent; d) identifying at least one interaction between said at least one host agent and said pathogen agent in a plurality of grids representative of said host; e) simulating a temporal course of said modeling using said plurality of biological events, said at least one host agent and said pathogen agent, said at least one action, and said at least one interaction; and f) displaying results of said simulating by graphically transforming the results into displays that indicate the predicted outcome of the host-pathogen interaction in a time-phased display; and g) wherein said simulating is accomplished using an agent-based simulation system comprising: 1) bidirectional flow at least of at least one of said at least one pathogen agent between at least two of said plurality of grids; and 2) at least one feedback loop representative at least of at least one said at least one interaction that applies output of at least one of said plurality of grids of the simulation as input for at least another of said plurality of grids of the simulation until an end is met, the end including at least one of: i) the host overcomes the pathogen; ii) the pathogen overcomes the host; and iii) the host becomes tolerant of the pathogen.