Dengue control measures via cytoplasmic incompatibility and modern programming tools

摘要: Abstract The vector borne diseases share a high percentage of the annual deaths reported by world health organization. Due to involvement multiple factors and resistance treatment strategies, it is highly desired design safe, efficient harmless control strategy. A state art computational framework for Wolbachia induced “genetic-control-strategy” has been documented during this research. process mating molecular identification complex expensive different labs around are devoted format smooth implementation strategy approach. During research, as first step, data was collected, secondly, dynamic artificial neural networks, with “tapped delay” lines used nonlinear filtering prediction parametric values novel mathematical model. To study reliance stable solutions unstable solution we analyze stability corresponding thresholds documented. conducted research can prove be useful in future experimental theoretical studies, aimed diseases.