Prem, K., Liu, Y., Russell, T. W., Kucharski, A. J., Eggo, R. M., Davies, N., ... & Abbott, S. (2020). The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study. The Lancet Public Health. https://doi.org/10.1016/s2468-2667(20)30073-6

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- The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study

The Lancet Papers for Control Strategies for COVID-19

The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study

Digital technology is being used in tracking, screening for infection, contact-tracing, self-isolation and clinical management in South Korea as well as other countries. Big data and artificial intelligence have helped in the process of facilitating preparedness for the pandemic and tracking of cases globally. Several countries have been able to see lower mortality rates through the use digital technology.  Examples of technology implemented to help in this pandemic are real-time monitoring of wearable devices, security cameras, digital thermometers and machine learning.

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