Research Outline

COVID-19 Vaccination Campaign: Use of Data Analysis & AI Technology


To provide information on COVID-19 second wave prevention and increase in the number of vaccination through data analysis and AI technology.

Early Findings

  • According to a publication by NBCI, "to respond efficiently and propose a preventative control plan, not only do we need a complete emergency management system, but also scientific data analysis for decision support."
  • With the spread of the pandemic, the analysis results based on the gradually generated large amounts of data have played an important role in the tracking of people’s movements, early warning of high-risk areas, screening of asymptomatic potential infections, drug development, information release, and policy support.
  • Data analysis has also become an important basis for implementing preventive control programs and has played an important role in enhancing the modernization level of national governance, promoting protection, and improving people’s livelihood.
  • Many data science applications combating the pandemic have been reported recently.
  • These studies focused on data sources and applications in a broad fashion without focusing on detailed guidelines for prevention and control to assist decision-makers.
  • With the help of appropriate technology to analyze the large amount of data accumulated in the information network, we can effectively make accurate predictions on the spread of COVID-19, the mode of spread, the next stage of spread, and so on, to formulate corresponding policy measures.
  • A pictorial representation of how big data can be leveraged to curb the spread of the Covid-19 pandemic is provided herein.
  • The method includes the use of the Internet of Things (IoT) data, mobile device data, social media data, navigation, search engine, and e-Commerce data, and lLarge-scale genetic data.