“…The models assessed represent four different ways of simulating malaria transmission and MDA, and a summary of their characteristics and functionality is given in table 2 11, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29Table 2Summary of models of malaria transmission | EMOD DTK | Imperial | MORU | OpenMalaria |
Institutional home | Institute for Disease Modelling | Imperial College London | Mahidol Oxford Tropical Medicine Research Unit | Swiss Tropical and Public Health Institute |
Type of model and references | Individual-based stochastic microsimulation16, 17 | Individual-based stochastic microsimulations of malaria in human beings linked to a stochastic compartmental model for mosquitoes 11 | Deterministic compartmental model described by differential equations, 18 including drug action on each stage of the infection | Single-location individual-based simulation of malaria in human beings 14 linked to deterministic model of malaria in mosquitoes 19 |
How infections are tracked | Tracks parasite densities of different surface-antigen types | Tracks membership of categories of infection (symptomatic, asymptomatic, submicroscopic, treated) | Tracks membership of categories of infection | Tracks parasite densities corresponding to different infection events |
Relationship between entomological innoculation rate and prevalence | Immunity is acquired through cumulative exposure to different antigenic determinants, 20 with heterogeneity in individual biting rates included | Immunity is acquired through cumulative exposure to mosquito bites, with heterogeneity in individual biting rates included | Subdivides population into non-immune and immune classes | Submodels of infection of human beings 14 and of blood-stage parasite densities, with main immune effects controlling parasite densities 21 |
Duration of infections | I... |
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