COVID-19 research

ABSTRACT

The first case of novel coronavirus COVID-19 appeared in China in November 2019 in Wuhan city. The novel virus caused widespread infections all over the world that led to thousands of deaths within a few months. The entire world was affected, without any suitable medicine or treatment to cure the disease. Most of the measures for defense against the virus were nonmedical, such as social distancing, lockdowns, and improved personal hygiene. The main objective of this study was to use data-driven methods like COVID-19 diagnosis based on X-ray images and cough sounds, sentiment analysis, knowledge discovery, semantic analysis, and hotspots detection. The data-driven technologies and COVID-19 research are proving effective in the battle against this deadly disease and will prove useful in the future also. The common consensus on the pandemic is that elderly people are most vulnerable, and epidemiologists consider age to be an important factor in survival. This chapter provides the scientific community and independent researchers with information about the open-source dataset, extensible and accessible studies in the field, along with existing challenges in the use of the dataset. © 2022 Elsevier Inc. All rights reserved.