Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic
Fig 4
Raw and elaborated mobility data in the UK.
In the raw mobility data, which is scaled with respect to a baseline value representing average mobility in the months prior to the pandemics, a strong weekly seasonality is present, which we mostly removed using a Savitzky–Golay filter. Moreover, we note that the mobility towards “residential” (which is not used in our analysis) locations is larger during the lockdown months than before, as people spend more time in their homes. Finally, we note the very large increase in people’s mobility towards parks around the end of the winter season. That contribution is however only one of the components in our aggregated mother mobility value, so the latter does not increase that abruptly.