Temperature impacts on dengue incidence are nonlinear and mediated by climatic and socioeconomic factors

Temperature can influence mosquito-borne diseases like dengue. These effects are expected to vary geographically and over time in both magnitude and direction and may interact with other environmental variables, making it difficult to anticipate changes in response to climate change. Here, we investigate global variation in temperature–dengue relationship by analyzing published correlations between temperature and dengue and matching them with remotely sensed climatic and socioeconomic data. We found that the correlation between temperature and dengue was most positive at intermediate (near 24°C) temperatures, as predicted from an independent mechanistic model. Positive temperature–dengue associations were strongest when temperature variation and population density were high and decreased with infection burden and rainfall mean and variation, suggesting alternative limiting factors on transmission. Our results show that while climate effects on diseases are context-dependent they are al..., , , # Temperature impacts on dengue incidence are nonlinear and mediated by climatic and socioeconomic factors

[https://doi.org/10.5061/dryad.rbnzs7hj6](https://doi.org/10.5061/dryad.rbnzs7hj6)

## Summary

This dataset includes estimates of temperature’s effects on dengue that were collected from the literature; however, only a subset of this database was used in the analyses for this study due to reasons described in the methods (e.g., correlations were preferred to regression coefficients). Accompanying R code illustrates which data is used in each analysis.
 
Below is a short description of the data features, not all of which were used in the analyses conducted in the study. More explanation for how these data were collected or calculated is included in the manuscript and supporting information.
 
*study_code:* Factor to define different studies in the literature review.
*reference:* First author name and study year.
*study_location:* Study location.
*study_scale:* Broad scale of the s...,