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Tracking COVID-19 using online search data

i-sense researchers from University College London, led by Dr Vasileios Lampos, in collaboration with Public Health England, Microsoft Research, and Harvard Medical School are looking at ways of tracking COVID-19 using online search data to better understand the true extent of community spread.

Their current analysis, which uses machine learning models to make predictions of potential prevalence of COVID-19 in a population, focuses on a number of countries, including the United Kingdom, United States of America, Canada, Australia, France, and Italy.

Can Google help to assess the impact of heatwaves on the health of the population?

New research from Public Health England and members of i-sense at UCL, published in Environmental Research, suggests that monitoring online search terms related to the health impact of heatwaves could help contribute to public health surveillance systems in the UK and have potential benefits for countries that lack established public health surveillance systems.

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