  Dengue represents a serious public health problem in tropical and subtropical
regions worldwide. The number of dengue cases and its geographical expansion
has increased in recent decades, driven mostly after by social and
environmental factors. In Costa Rica, it has been endemic since it was first
introduced in 1993. In this article, wavelet analyzes (wavelet power spectrum
and wavelet coherence) were performed to detect and quantify dengue periodicity
and describe patterns of synchrony between dengue incidence and climatic and
environmental factors: Normalized Difference Water Index, Enhanced Vegetation
Index, Normalized Difference Vegetation Index, Tropical North Atlantic indices,
Land Surface Temperature, and El Ni\~no Southern Oscillation indices in 32
different cantons, using dengue surveillance from 2000 to 2019. Results showed
that the dengue dominant cycles are in periods of 1, 2, and 3 years. The
wavelet coherence analysis showed that the vegetation indices are correlated
with dengue incidence in places located in the central and Northern Pacific of
the country in the period of 1 year. Climatic variables such as El Ni\~no 3,
3.4, 4, showed a strong correlation with dengue incidence in the period of 3
years and the Tropical North Atlantic is correlated with dengue incidence in
the period of 1 year. Land Surface Temperature showed a strong correlation with
dengue time series in the 32 cantons.
