We investigated the relation between the spread, time scale, and spatial arrangement of dengue in Bahia, a Brazilian dry climate region, for the period 2000 to 2009. The degree of cross-correlation is calculated for 15 economic regions. We apply a multiscale statistical analysis to datasets of dengue cases in order to verify the effect of infection dispersal on the economic regions from the metropolitan region of Salvador. Our empirical results support a signiﬁcant and persistent cross-correlation between most economic regions, reinforcing the idea that there are no economic, environmental or climatic barriers to the spread of dengue. Our main contribution lies in the cross-correlation results revealing multiple aspects related to the propagation of dengue for dry climate regions.