Assessing the impact of climate on dengue outbreaks

Machine learning techniques reveal that researchers can improve their forecasts for the spread of dengue by incorporating climate data – but not in all cases

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-03-24
DOI
https://doi.org/10.1051/epn/2025103/pdf
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing the impact of climate on dengue outbreaks

Springer Link (Chiba Institute of Technology)
Wheat and Barley Genetics and Pathology
article

Assessing the impact of climate on dengue outbreaks

article en

Abstract

Machine learning techniques reveal that researchers can improve their forecasts for the spread of dengue by incorporating climate data – but not in all cases

Springer Link (Chiba Institute of Technology)
Climate action
Openalex Percentile: Top 40%
Wheat and Barley Genetics and Pathology
DOISourceOpenAlex
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Assessing the impact of climate on dengue outbreaks · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS