Mining the Impacts of COVID-19 Pandemic on the Labour Market

doi:10.1109/imcom53663.2022.9721772

Paper

Mining the Impacts of COVID-19 Pandemic on the Labour Market

Published Jan 3, 2022 · Joshua F. Smallwood, Chenru Zhao, C. Leung

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)

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Abstract

Under the influence of the pandemic environment, many people may have lost their jobs or on the verge of being laid off, while there are many new job seekers. Hence, the status of new jobs under the pandemic and how various industries are affected by the pandemic—including predicting future work trends—have become the focus of attention. In this paper, we present a social informatics solution to mine the impacts of COVID-19 pandemic on the labour market. We make good use of data mining (especially, frequent pattern mining), statistical analysis, and prediction. Evaluation of real-life Canadian labour market data demonstrates the practicality of our tool. Although we illustrate our ideas with the Canadian labour market, our solution can be adaptable to mine labour markets in other geographical locations.

Study Snapshot

Key takeawayOur social informatics solution effectively mines the impacts of COVID-19 on the labor market, using data mining, statistical analysis, and prediction to understand job status and predict future work trends.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Mining the Impacts of COVID-19 Pandemic on the Labour Market

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