 In Spain, a near-real-time surveillance system was developed using Kulldorf's prospective space-time scan statistic, STSS, to detect daily emerging active clusters of COVID-19. The system detected an increase in active clusters and municipalities affected throughout the summer of 2020. Initially, clusters were limited to a few, low-case regions, but by the end of the study period, they had spread across the country and included larger numbers of municipalities and total cases. This suggests that the system may be useful for tracking the spread of COVID-19 in low-incident scenarios and identifying potential areas of concern before they become widespread. Additionally, the clustering of cases over time and space could indicate the occurrence of community transmission. This article was authored by Nicholas Rosillo, Javier de la Guilama here, Ayala Rojas Benedicto, and others.