SIMULATION: Transactions of The Society for Modeling and Simulation International

McKenzie, F. Ellis; Wong, Roger C.; Bossert, William H.

doi: 10.1177/003754979907300403pmid: 18698381

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.

Court, M.C.

doi: 10.1177/003754979907300404pmid: N/A

There has been increasing interest in developing simulation models capable of analyzing commer cial aircraft-cabin egress under both non-life- threatening and life-threatening scenarios. At issue is the ability to accurately simulate human behavior within non-toxic environments, as well as the debilitating effects that toxic environments (e.g., fire and smoke) have on human-decision making. A set of criteria has been identified by the Federal Aviation Administration for developing simulation models capable of analyzing commer cial aircraft-cabin egress. These criteria are used to (a) compare the capabilities and limitations of four aircraft-evacuation models in existence to day, (b) identify the issues that need to be ad dressed when developing these types of models, and (c) propose a new paradigm for developing aircraft-cabin egress models.

Place, J.; Stach, J.

doi: 10.1177/003754979907300405pmid: N/A

Simulation engineers are occasionally required to include numerical integration in their simulation models. The technique most often used is the simple "trapezoid method." In this short tutorial, we review Gaussian Quadrature techniques for nu merical integration and show how careful deployment of coefficient weights and se lection of the number of coefficients can dramatically reduce the work required to produce excellent numerical results.

Wildberger, A. Martin

doi: 10.1177/003754979907300406pmid: N/A

McLeod, John; McLeod, Suzette

doi: 10.1177/003754979907300407pmid: N/A