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SIMULATION, Vol. 73, No. 4, 213-217 (1999)
DOI: 10.1177/003754979907300403

Other

Discrete-Event Models of Mixed-Phenotype Plasmodium falciparum Malaria

F. Ellis McKenzie

Department of Organismic and Evolutionary Biology, and Division of Applied Sciences Harvard University Cambridge, Massachusetts, USA

Roger C. Wong

Department of Organismic and Evolutionary Biology, and Division of Applied Sciences Harvard University Cambridge, Massachusetts, USA

William H. Bossert

Department of Organismic and Evolutionary Biology, and Division of Applied Sciences Harvard University Cambridge, Massachusetts, USA

We extend our basic discrete-event model of Plasmodium falciparum malaria to encom pass circumstances in which multiple pheno typic variants of the parasite circulate within interacting human and mosquito populations, and we compare a version in which variants behave independently to one in which they in teract through shared host immune responses. Relative to the standard hypothesis of statisti cal independence, frequencies of mixed-pheno type infection in humans were as expected in the independent-immunity version and much less than expected in the cross-immunity ver sion ; in both versions, however, such frequen cies in mosquitoes were much greater than expected.

Key Words: Epidemiology • infectious disease • malaria • population biology • prevalence • transmission • vector


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