Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A Wavelet Approach
Yury E. Garcia, Shu-Wei Chou-Chen, Luis A. Barboza, Maria L., Daza-Torres, J. Cricelio Montesinos-Lopez, Paola Vasquez, Juan G. Calvo,, Miriam Nuno, and Fabio Sanchez

TL;DR
This study uses wavelet analysis to identify how climate and environmental factors influence dengue outbreaks in Costa Rica, revealing seasonal and multi-year patterns linked to climate oscillations and local variables.
Contribution
It applies wavelet coherence analysis to connect climate/environmental variables with dengue incidence across Costa Rican cantons, highlighting temporal relationships and regional differences.
Findings
Dengue outbreaks every 3 years are coherent with El Niño indices.
Dengue cases lead climate variables by approximately 9 months.
Local environmental factors are in phase with dengue and lead by about 3 months.
Abstract
Throughout history, prevention and control of dengue transmission have challenged public health authorities worldwide. In the last decades, the interaction of multiple factors, such as environmental and climate variability, has influenced increments in incidence and geographical spread of the virus. In Costa Rica, a country characterized by multiple microclimates separated by short distances, dengue has been endemic since its introduction in 1993. Understanding the role of climatic and environmental factors in the seasonal and inter-annual variability of disease spread is essential to develop effective surveillance and control efforts. In this study, we conducted a wavelet time series analysis of weekly climate, local environmental variables, and dengue cases (2001-2019) from 32 cantons in Costa Rica to identify significant periods (e.g., annual, biannual) in which climate and…
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Taxonomy
TopicsMosquito-borne diseases and control · Species Distribution and Climate Change · Viral Infections and Vectors
