Controlling Malaria with the help of agent-based modelsSpeaker: M. Sohel Rahman – Dhaka, Bangladesh
Topic(s): Applied Computing
Malaria is one of the most devastating global health issues. Wouldn't it be wonderful if we could model the Malaria vectors (i.e., different mosquito species) so as to check which intervention technique would be the most appropriate in a particular area? In this talk, we discuss the design and implementation of a spatial agent based model based on the biological attributes of a Malaria vector called Anopheles vagus, which is widely distributed in Asia and a dominant vector in Bandarban, Bangladesh. Real-life field data of Bandarban have been used to generate landscapes to run the simulations. Validation of the model has been done using several standard techniques. Also, verification and validation of the model was done against real-life field data.
Using artificial landscapes, the individual and combined efficacies of existing vector control interventions have been modeled, applied, and examined. Thus this agent based model now can aid us in deciding what sort of interventions would be most appropriate to prevent or contain Malaria. For example, for Anopheles vagus, and based on the real-life data of Bandarban, this research output suggests that combined interventions will have the best effect.
About this LectureNumber of Slides: 65
Duration: 45 minutes
Languages Available: English
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