The Indian Ocean Dipole drives imported-dominated dengue outbreaks in China: Mechanisms and predictions

Dengue fever, influenced by climate dynamics and human mobility in nonendemic regions, remains poorly understood. We assessed the effects of large-scale climate features on domestic dengue outbreaks using data from China (2013-2021) and projections for 2023-2028, incorporating climate, human mobility, and environmental factors. A significant positive correlation (<i>r</i> = 0.89, <i>P</i> < 0.01) was found between domestic dengue incidence and overseas imported cases. Significant associations were also noted with domestic (<i>F</i> <sub>2.96, 25.78</sub> = 518.03, <i>P</i> < 0.01) and international human mobility (<i>F</i> <sub>2.77, 25.78</sub> = 66.84, <i>P</i> < 0.01), the Indian Ocean Dipole (IOD) index (<i>F</i> <sub>2.98, 25.78</sub> = 522.84), and vectorial capacity (<i>F</i> <sub>2.92, 25.78</sub> = 338.74, <i>P</i> < 0.01). IOD is the most influential climate feature, with a trend of intensification over time. The Extreme Gradient Boosting (XGBoost) algorithm incorporating IOD (<i>r</i> <sup>2</sup> = 0.56) predicted outbreaks in 2025, 2026, and 2028. Our findings reveal that large-scale climate phenomenon, notably the IOD, and human mobility significantly influence dengue domestic outbreaks in China through a "dislocated impact."

Authors

Institutions

Publication Details

Journal
PNAS Nexus
Published
2025-10-31
DOI
https://doi.org/10.1093/pnasnexus/pgaf350
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Indian Ocean Dipole drives imported-dominated dengue outbreaks in China: Mechanisms and predictions

Xiangliang Zhang, Huatang Zeng, Qian Han, Lei Xu et al.
PNAS Nexus
Mosquito-borne diseases and control
article

The Indian Ocean Dipole drives imported-dominated dengue outbreaks in China: Mechanisms and predictions

Xiangliang Zhang, Huatang Zeng, Qian Han, Lei Xu, Kaixing Dong, Yong Luo, Cunrui Huang, Nils Chr. Stenseth, Jing Gao, Yongman Guo, John S. Ji, Cui Zhou, Chutian Zhang, Huihui Yuan, Jian Ma, Luo Le-xuan, Wannian Liang, Qiyong Liu
article en

Abstract

Dengue fever, influenced by climate dynamics and human mobility in nonendemic regions, remains poorly understood. We assessed the effects of large-scale climate features on domestic dengue outbreaks using data from China (2013-2021) and projections for 2023-2028, incorporating climate, human mobility, and environmental factors. A significant positive correlation (<i>r</i> = 0.89, <i>P</i> < 0.01) was found between domestic dengue incidence and overseas imported cases. Significant associations were also noted with domestic (<i>F</i> <sub>2.96, 25.78</sub> = 518.03, <i>P</i> < 0.01) and international human mobility (<i>F</i> <sub>2.77, 25.78</sub> = 66.84, <i>P</i> < 0.01), the Indian Ocean Dipole (IOD) index (<i>F</i> <sub>2.98, 25.78</sub> = 522.84), and vectorial capacity (<i>F</i> <sub>2.92, 25.78</sub> = 338.74, <i>P</i> < 0.01). IOD is the most influential climate feature, with a trend of intensification over time. The Extreme Gradient Boosting (XGBoost) algorithm incorporating IOD (<i>r</i> <sup>2</sup> = 0.56) predicted outbreaks in 2025, 2026, and 2028. Our findings reveal that large-scale climate phenomenon, notably the IOD, and human mobility significantly influence dengue domestic outbreaks in China through a "dislocated impact."

PNAS NexusVol. 4(11)
Sun Yat-sen University (CN), University of Oslo (NO), Hainan University (CN), North West Agriculture and Forestry University (CN), Ministry of Education (ME), Vanke (China) (CN), Shenzhen University Health Science Center (CN), National Institute for Communicable Disease Control and Prevention (CN), Northwest A&F University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Tsinghua University, National Science and Technology Major Project, Chinese Academy of Engineering
Openalex Percentile: Top 57%
Mosquito-borne diseases and control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.