Analysis and trend prediction of COVID-19 pandemic data based on big data visualization

Abstract

Since the outbreak of COVID-19 at the end of 2019, this global public health crisis has profoundly impacted the socio-economic conditions and daily life of countries worldwide. To effectively combat the pandemic, scientists and public health experts rely on vast amounts of data to track the progression of the disease, evaluate the effectiveness of control measures, and predict future trends. Big data technology plays a crucial role in the analysis of pandemic data and trend forecasting. This paper will explore the methods of analyzing COVID-19 pandemic data and the application of trend forecasting.