Big Data Science on COVID-19 Data

In the current era of big data, high volume of big data can be generated and collected from a wide variety of rich data sources at a rapid rate. Embedded in these big data are useful information and valuable knowledge. Examples include healthcare and epidemiological data such as data related to patients who suffered from viral diseases like the coronavirus disease 2019 (COVID-19). Knowledge discovered from these epidemiological data via data science helps researchers, epidemiologists and policy makers to get a better understanding of the disease, which may inspire them to come up ways to detect, control and combat the disease. In this paper, we present a data science solution for analyzing big COVID-19 epidemiological data. The solution helps users to get a better understanding of information about the confirmed cases of COVID-19. Evaluation results show the benefits of our data science solution in discovering useful knowledge from big COVID-19 data.