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.

翻译：本文件的目的是推断在哥斯达黎加SARS-COV-2爆发头四个月期间,在建立社区传播之前,人类流动的变化对哥斯达黎加传播动态的影响。通过使用参数和非参数检测技术,我们得以确定两个不同的时期,其中至少每天新病例的趋势和变异性发生了重大变化。为了将这一信息与人口流动结合起来,我们使用Google流动趋势的数据,使我们能够估计每天新病例的比率与谷歌确定的每个类别之间的时间差。然后,这些信息被用来将人口流动的变化与研究期间采取的卫生措施联系起来。