A Dynamic Neural Network Model for Predicting Risk of Zika

Assignment Task

Introduction

The spreading ratio of different viruses is highly noticed worldwide over the last few decades, like dengue, coronavirus, influenza, and other diseases. The spreading viruses are controlled through the proper treatment together with the suitable and effective developments. The Zika virus is one of the epidemics that is undertaken through the function of proper treatment (Perkins et al., 2016). These predictions have been revealed the individuals in the concerned collection based on the therapy. Many predictable variations have been provided to approximate the treatment measures based on the pretentious patients. The medical belongings for the behavior of these diseases are comparatively represented worldwide (Dick, 1953; P´erez et al., 2019). 

1. Graphical performances of the proposed scheme for the SEIR based spreading of Zika.

2. ANNPs weights for the mathematical SEIR model.

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