Deep Learning Applications for COVID-19 Analysis: A State-of-the-Art Survey

The COVID-19 has resulted in catastrophic situation and the deaths of millions people all over world. In this paper, predictions epidemiological propagation models, such as SIR SEIR, are introduced to analyze earlier propagation. deep learning methods combined with transfer familiar classification-detection approaches based on chest X-ray CT images presented detail. Besides, have also been applied lung ultrasound (LUS), which shown be more sensitive than detecting COVID-19. absence a vaccine, machine learning-related vaccine candidates realm biology medicine. telehealth system played major role combating pandemic from aspects reducing contact patients during period. Natural language processing-related utilized tweets related epidemic social media, further public sentiment subject modeling, so arrange corresponding measures appease sentiment. particular, survey is summarize contributions made various fields by considering both contribution images, well application latest LUS pandemic. Telehealth importance analysis were described