Mobility Data Reveals Startling Link Between Population Mobility and Infection Rates

Mobility data mapped against new cases of Covid-19 across Paris and London since the start of the year reveals a startling link between population mobility, and the spread of the virus.

When set alongside one another, population mobility within cities shows a strong inverse correlation with the number of new cases being identified. Cases rising when populations are more mobile, and decrease rapidly when movements are reduced.

Paris had one of the most restrictive lockdowns in Europe. According to Huq’s high frequency geo-data, population mobility dropped sharply from the norm to just 20% of its usual level, before dramatically increasing to 90% of usual levels as lockdown lifted. Since then, cases have sharply risen and are now almost 95% of the peak that was seen back in March.

A similar correlation can be seen in London, where a ‘softer’ lockdown can be linked to a slower drop in new Covid-19 cases. This is followed by a slower return to normal levels of population mobility, with a slower rise in new Covid-19 cases.

Mobility a key contributing factor to the spread of the pandemic and there has been much speculation as to why the number of Cases are on the rise in the UK and Paris. However, this measurement does offer a valuable leading indicator as to what may lie ahead for cities around the world in terms of health and the economy.

Huq’s Indicators help analysts better understand what the recovery from Covid-19 looks like. If you would like to measure activity on a particular location, industry or subject that is not already contained within Huq’s Indicator catalogue, please get in touch with our new business team to discuss your requirements.