COVID-19 Epidemic Analysis using Deep Learning

Abstract: In 2019, our world was struck by a global COVID-19 pandemic which belongs to the Coronavirus family. the coronavirus disease (COVID-19) outbreak has caused many death cases and affected all sectors of human life. With gradual progression of time, COVID-19 was declared by the world health organization (WHO) as a pandemic, which has led to increase in the significant burden on the majority countries, especially ones with poor health conditions and ones with slow responses. Here, we introduced a model that might be helpful to predict the spread of COVID-19. we've performed direct relapse, Multilayer perceptron and Vector auto regression strategy for want on the COVID-19 Kaggle dataset to examine the epidemiological case of the infirmity and pace of COVID-19 cases. Since the COVID-19 pandemic has spread worldwide, real-time analysis of epidemiological data is needed to help equip society with disease-fighting strategies.

Keywords: Covid-19, Pre-Processing, Classifier Algorithm, Feature Extraction, Convolutional Neural Network (CNN), etc.