Abstract
Aim: The aim of the study was to utilize mathematical modeling to investigate effect of different parameters that affected mosquito-borne transmission of Zika virus during 2015-2016 outbreak in El Salvador. The model can be used to predict outbreaks at various geographical regions utilizing different conditions. Materials & methods: A susceptibleexposed- infectious-recovered mathematical model was generated for disease progression. Results: The model correlated with actual number of reported cases and stability analysis. The value of reproduction number (R-o = 4.5537) indicated rapid spread of viral infection suggestive of an outbreak. Simulations revealed that transitional parameters affected disease progression. Conclusion: Investigation of progression of infection in a given population using mathematical models may assist in prediction of outbreaks and in formulation of control measures.