Disentangling climate’s dual role in dengue dynamics: A multiregion causal analysis study

Dengue fever poses major public health challenges, with climate change complicating control efforts. Yet, the full extent of climate change's impact on dengue remains elusive. To investigate this, we used an advanced causal inference method to 16 diverse climatic regions in the Philippines. This method is capable of detecting nonlinear and joint effects of temperature and rainfall to dengue incidence. We found that temperature consistently increased dengue incidence throughout all the regions, while rainfall effects differed depending on the variation in dry season length, a factor previously overlooked. Specifically, our results showed that regions with low variation in dry season length experience a negative impact of rainfall on dengue incidence likely due to strong flushing effect on mosquito habitats, while regions with high variation in dry season length experience a positive impact, likely due to increased mosquito breeding sites. Our findings emphasize the need for tailored prevention strategies based on local climate conditions, rather than a one-size-fits-all approach.

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Publication Details

Journal
Science Advances
Published
2025-02-12
DOI
https://doi.org/10.1126/sciadv.adq1901
Citations
6
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
11.27

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article

Disentangling climate’s dual role in dengue dynamics: A multiregion causal analysis study

Donnabel Tubera-Panes, Aurelio A. de los Reyes V, Jae Kyoung Kim, Olive R. Cawiding et al.
6 citations
Science Advances
Mosquito-borne diseases and control
11.27
article

Disentangling climate’s dual role in dengue dynamics: A multiregion causal analysis study

Donnabel Tubera-Panes, Aurelio A. de los Reyes V, Jae Kyoung Kim, Olive R. Cawiding, Saebom Jeon
article en
6 citations

Abstract

Dengue fever poses major public health challenges, with climate change complicating control efforts. Yet, the full extent of climate change's impact on dengue remains elusive. To investigate this, we used an advanced causal inference method to 16 diverse climatic regions in the Philippines. This method is capable of detecting nonlinear and joint effects of temperature and rainfall to dengue incidence. We found that temperature consistently increased dengue incidence throughout all the regions, while rainfall effects differed depending on the variation in dry season length, a factor previously overlooked. Specifically, our results showed that regions with low variation in dry season length experience a negative impact of rainfall on dengue incidence likely due to strong flushing effect on mosquito habitats, while regions with high variation in dry season length experience a positive impact, likely due to increased mosquito breeding sites. Our findings emphasize the need for tailored prevention strategies based on local climate conditions, rather than a one-size-fits-all approach.

Science AdvancesVol. 11(7)
Department of Health (PH), Korea Advanced Institute of Science and Technology (KR), Korea University (KR), Mokwon University (KR), Institute for Basic Science (KR), National Institute for Mathematical Sciences (KR), University of the Philippines Diliman (PH)
Samsung Science and Technology Foundation, Samsung
Climate action
Openalex Percentile: Top 2%
Mosquito-borne diseases and control
11.27
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Disentangling climate’s dual role in dengue dynamics: A multiregion causal analysis study — Donnabel Tubera-Panes, Aurelio A. de los Reyes V, et al. · Science Advances (2025) | TGRS Research Map | TGRS