Here we developed a new efficient model of in-host malaria dynamics that accounts for the basic in-host processes: parasite replication, its regulation by innate and adaptive immunity, and antigenic variation (immune evasion) of Plasmodium parasites, particularly Plasmodium falciparum. We calibrated our model using malaria-therapy data (MT). Our calibration procedure accounted for both deterministic and pseudorandom components of host parasitemia observed in MT histories. By screening 127 MT cases we collected a set of calibrated parameters that serves as a basis for creating heterogeneous agent-based communities (ABC) of 'MT-like' hosts. We conducted preliminary numeric experiments with such ABC by subjecting them to inoculation patterns observed in different field studies and comparing predicted outputs. Future developments will include coupled human-mosquito systems, realistic population strata and distributed environment.
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