Abstract
Towards the end of 2019, one of the most dangerous viruses in human history emerged. This is the SARS CoV-2 coronavirus, responsible for COVID-19. This virus, originally spread from the Chinese city of Wuhan, continues to propagate all over the world and cause considerable loss of life. Since that time, several investigations have been carried out, not only in medicine, but also in computer science and related fields. This paper aims at reviewing the latest work on the infectious disease COVID-19 in order to identify the latest techniques, datasets, and tools that have been developed. In particular, we examine the latest approaches and tools in three trending fields, namely Deep Learning, Geographic Information Systems and Knowledge-Based Systems.
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Bayoudhi, L., Sassi, N., Jaziri, W. (2022). How Latest Computer Science Research Copes with COVID-19?. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_112
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