title: SCHISTOSIM: a microsimulation model for the epidemiology and control of schistosomiasis.
abstract: A computer simulation model, SCHISTOSIM, has been developed for the epidemiology and control of schistosomiasis, based on the stochastic microsimulation technique. The eventual aim is to evaluate and predict the effects of different control strategies. In the current state of the model, human-, worm-, and infection-related aspects have been included. However, many others, including most transmission and transmission-related mechanisms, have yet to be modeled. By simulating a series of surveys and treatments in Burundi, short-term effects of this program were satisfactorily explained by the model. However, long-term predictions did not match the observed data. Possible extensions of the model to properly describe these effects are identified. The potential of SCHISTOSIM as a tool for the prediction of outcomes of alternative control strategies is illustrated and discussed.
authors.affiliation: Department of Public Health, Erasmus University Rotterdam, The Netherlands.
authors.forename: S J
authors.initials: SJ
authors.lastname: Vlas
authors.forename: G J
authors.initials: GJ
authors.lastname: Van Oortmarssen
authors.forename: B
authors.initials: B
authors.lastname: Gryseels
authors.forename: A M
authors.initials: AM
authors.lastname: Polderman
authors.forename: A P
authors.initials: AP
authors.lastname: Plaisier
authors.forename: J D
authors.initials: JD
authors.lastname: Habbema
mesh_terms: D000818:Animals; D002063:Burundi / Q000453:epidemiology; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D011157:Population Dynamics; D015995:Prevalence; D012547:Schistosoma / Q000502:physiology; D012552:Schistosomiasis / Q000453:epidemiology* / Q000517:prevention & control; D012984:Software; D013269:Stochastic Processes