Climate change, thermal anomalies, and the recent progression of dengue in Brazil
Authors/Creators
Description
Abstract
Dengue is rapidly expanding its transmission area across Brazil and much of South America. In this study, data-mining techniques were used to identify climatic and demographic indicators that could explain the recent (2014–2020) and simultaneous trends of expansion and exacerbation of the incidence in some regions of Brazil. The previous circulation of the virus (dengue incidence rates between 2007 and 2013), urbanization, and the occurrence of temperature anomalies for a prolonged period were the main factors that led to increased incidence of dengue in the central region of Brazil. Regions with high altitudes, which previously acted as a barrier for dengue transmission, became areas of high incidence rates. The algorithm that was developed during this study can be utilized to assess future climate scenarios and plan preventive actions.
Technical info (English)
Data availability
The datasets generated during the current study were collected from open and free data platforms and are available on Zenodo repository under https://doi.org/https://doi.org/10.5281/zenodo.10404906. The algorithm code developed to generate indicators of climate anomalies is available at https://doi.org/https://doi.org/10.5281/zenodo.10592772 and https://github.com/vanderpascoal/ClimateCorr.
Notes (English)
Files
s41598-024-56044-y.pdf
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Additional details
Related works
- Is part of
- Dataset: 10.5281/zenodo.10404906 (DOI)
- Software: https://github.com/vanderpascoal/ClimateCorr (URL)
Funding
Software
- Repository URL
- https://doi.org/https://doi.org/10.5281/zenodo.10592772
- Programming language
- R
- Development Status
- Active