Spatial simulation of malaria transmission and its control by malaria transmission blocking vaccination.
A simple, visual representation of spatial aspects of malaria transmission in successive snap-shots in time, is presented. The spatial components of the simulation involve (i) the identification of mosquito vector breeding sites of defined shape and area, (ii) the identification of a zone of malaria transmission determined by the shapes and areas of the vector breeding sites and the distance from these sites that the mosquitoes disperse, (iii) a human population dispersed in relation to the malaria transmission zone, (iv) perimeters around each individual human within which his or her infection can be transmitted by the local vector mosquitoes. The intensity of transmission within a malaria transmission zone is given by a number which is the number of new cases of malaria that each existing case will distribute through the human population within the duration of an infection. The simulation has been used here to examine the effects of vaccination against malaria transmission. Different levels of vaccine coverage are represented under endemic and epidemic malaria. The consequences of full or partial coverage of a zone of malaria transmission are also examined. The results are numerically compatible with the predictions of previous simple mathematical simulations of malaria transmission and interventions. The present simulation allows the nature of malaria transmission and the effects of interventions to be communicated easily and directly to an audience. It could have practical value in discussions of malaria control strategies with health planners.
Carter
Richard
R
Division of Biological Sciences, ICAPB, University of Edinburgh, UK. r.carter@ed.ac.uk
D000818:Animals; D009033:Culicidae; D003626:Data Display; D004196:Disease Outbreaks; D006801:Humans; D007303:Insect Vectors; D008288:Malaria / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission*; D017780:Malaria Vaccines; D008954:Models, Biological; D011157:Population Dynamics
D017780:Malaria Vaccines