 The study developed a near-real-time surveillance system using Kaldor's prospective space-time scan statistic, STSS, to detect active clusters of COVID-19 in Spain during the summer of 2020 and found an increase in active clusters and municipalities affected, with spread happening from regional-located clusters to a nationwide distribution of bigger clusters by end August. The study suggests that STSS-based surveillance can be useful in low-incidence scenarios to help tackle emerging outbreaks and follow spatial trends and disease distribution.