Highlights of the article are:

• Presented a systematic study of Deep Learning (DL), Deep Transfer Learning (DTL) and Edge Computing(EC) to mitigate COVID-19.

• Surveyed on existing DL, DTL, EC, and Dataset to mitigate pandemics with potentialities and challenges.

• Drawn a precedent pipeline model of DTL over EC for a future scope to mitigate any outbreaks.

• Given brief analyses and challenges wherever relevant in perspective of COVID-19.