Published in Big Data Research, 25.
The outbreak of Coronavirus Disease 2019 (COVID-19) has infected and killed millions of people globally, resulting in a pandemic with enormous global impact. This disease affects the respiratory system, and the viral agent that causes it, SARS-CoV-2, spreads through droplets of saliva, as well as through coughing and sneezing. The most effective approach to reduce viral spread and avoid a substantial collapse of the health system, in the absence of vaccines, is nonpharmaceutical interventions (NPI) such as enforcing social containment restrictions, monitoring overall population mobility, implementing widespread viral testing, and increasing hygiene measures. Our approach consists of combining network analytics with machine learning models by using a combination of anonymized health and telecommunications data to better understand the correlation between population movements and virus spread. This approach, called location network analysis (LNA), allows for accurate prediction of possible new outbreaks. It gives governments and health authorities a crucial tool that can help define more accurate public health metrics and can be used either to intensify social containment policies to avoid further spread or to ease them to reopen the economy.
Reis Pinheiro, C.A., Galati, M., Summerville, N., Lambrecht, M. (2021), Big Data Research, 25.
Read this publication and more online on our Scientific Publications page on sas.com.
At SAS, we take big ideas that shape the future and make them bigger. On these pages we've collected the best examples of analytical and technology research at SAS, with a spotlight on the talented people that make it possible.
SAS doesn't settle for ordinary innovation. We put thought and research into ideas that matter – and then create analytics solutions that improve business and society.
Work with us. Visit sas.com/careers to find R&D opportunities at SAS.
Read more stories at the Data Science Resource Hub
More science and SAS: SAS authors who contribute to Health & Life Science research, and use of SAS software in scientific research.