Mosquito and global dengue cases in a warming world

Jie Hu, Benjamin P. Horton, Tsin Wen Yeo, Joseph J.Y. Sung, Yim Hung Lam Steve*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Dengue presents a significant global health challenge, affecting 50-100 symptomatic infections every year and placing immense strain on healthcare systems in tropical and subtropical regions. However, future projections of dengue infections in a warming world remain unclear. We used the support vector machine (SVM) and artificial neural network (ANN) models with Aedes mosquitoes and dengue records from 1960 to 2019 to comprehensively assess the effects of climate change and socioeconomic conditions on the distribution of mosquitoes and the global dengue incidence rate. The SVM and ANN models were applied to project the global future incidence rate and infections during 2021-2040, 2041-2060 and 2061-2080 under various climate change and socioeconomic conditions in a 5 km spatial resolution. We found a geographical distribution expansion of Aedes mosquitoes and dengue in future years, especially in higher latitudes such as North America and Europe. It was estimated that 77 (confidence interval: 40 to 198) million yearly global infections will occur during 2041-2060 under the Shared Socio-economic Pathway SSP2-4.5, a 57% increase of 49 (26-127) million compared with 2000-2019. The rise in annual infections is primarily attributed to the growing incidence rates driven by rising temperatures and the enhanced suitability of Aedes aegypti, and an expanding human population. Our high-resolution projection provides support to local control measures to minimise health impacts from dengue. Specifically, the Aedes mosquito control programmes such as eliminating the Ae. aegypti breeding sites are recommended in Africa and South Asia, where dengue is particularly severe in all climate change and socioeconomic conditions. © Author(s) (or their employer(s)) 2025.
Original languageEnglish
Article numbere014688
JournalOpen Quaternary
Volume10
Issue number5
Online published6 May 2025
DOIs
Publication statusPublished - May 2025

Funding

This work is funded by the LKC Start-up Grant (award no: 021452-00001), ASE Start-up Grant (award no: 021384-00001) and the MOE Academic Research Fund (AcRF) Tier 1 Project (022713-00001) for YHLS, the Ministry of Education, Singapore, under its MOE AcRF Tier 3 Award MOET32022-0006 and Dr Stanley Ho Medical Development Foundation (grant no. 8305509).

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

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