Table 1.

Summary of applications of deep learning for combating COVID-19.

S. no.	Application	Explanation
1	Pandemic tracking [1]	(i) Bidirectional GRU along with attentional techniques are used for analyzing patterns in respiratory images for mass scale screening of COVID-19 (ii) Application of deep learning (DL) techniques for identification of geographical hazards and spreading at the community level
2	Predicting the structure of proteins [2]	(i) CNN, DNN, and deep ResNet architecture are utilized for the identification of characteristics of proteins (ii) Virus-host prediction and early prevention of virus infectivity can be done using DL architectures
3.	Drug discovery [25]	(i) GAN and reinforcement learning techniques should be implemented for discovering the chemical compounds inhibiting COVID-19
4.	Medical imaging[28]	(i) DL architecture should be used for extraction of features and prediction of possible cases of COVID-19 from CT scan or chest X-ray images