Intelligent Multiagent Approach to Diphtheria Infection Epidemic Process Simulation
Dmytro Chumachenko, Ievgen Meniailov, Kseniia Bazilevych, Andrey Gregorevich Chukhray · 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON) · 2019
The aim of the research is to develop an intelligent multiagent model of the dynamics of diphtheria infection morbidity spreading. The developed intelligent multiagent model allows eliminate drawbacks of the existing models of epidemic processes. The proposed approach allows endowing the model with intellectual rules for the interaction of objects, which increases the accuracy of the calculated prediction of diphtheria morbidity. The forecast built using the model makes it possible to take timely anti-epidemic measures by epidemiologists.