Mosquito Density Prediction Model Based On Deep Learning

Abstract

Mosquitoes are important vectors of diseases. Mosquito density is closely related to the epidemic intensity of mosquito borne infectious diseases. Mosquitoes' survival is closely related to climate, geographical environment and other factors. According to the observation of historical data, it is found that mosquito density has certain regularity with temperature, humidity and rainfall. The main goal of this prediction model is to establish a recurrent network model with memory through deep learning based on historical data of mosquito density, which can be used to predict mosquito density in the future.