  The aim of this paper is to infer the effects that changes on human mobility
had on the transmission dynamics during the first four months of the SARS-CoV-2
outbreak in Costa Rica, before community transmission was established in the
country. By using parametric and non parametric detection change-point
techniques we were able to identify two different periods where at least the
trend and variability of new daily cases significantly changed. In order to
combine this information with population movement, we use data from Google
Mobility Trends that allow us to estimate the lag between the rate of new daily
cases and each of the categories established by Google. The information is then
used to establish an association between changes in population mobility and the
sanitary measures taken during the study period.
