The control of the transmission of viruses is really challenging. Zika virus is the twentieth among the most deadly viruses in world's history. With the advancement in research and technology several epidemiological issues are controlled, yet the vector borne diseases have remained a great challenge and the most effective approach to control its spread is to strictly adhere to the precautionary measures. Computational framework is ideal to forecast the impact of precautionary measures on the crossover behavior of the Zika virus and the delay in population growth, caused by such viruses. During this research, a delayed computational model is studied and the dynamical analysis with useful thresholds are reported. The compartmental model is comprised of the interactions of Zika virus infected cells and the short lived effector cells. Based on the fetal abnormalities, associated with the Zika virus infection, delayed pregnancy is recommended by WHO. The impact of the Zika virus to the delayed pregnancies, to avoid such fetal complications is demonstrated with the aid of dynamical analysis of interactions with delay at the inter-cellular levels. The dynamics are depicted numerically relative to key parameters and useful conclusions are drawn.