Evidence map›Paper›PMID 41259371›Full record

ArticlePLoS neglected tropical diseases2025

Spatiotemporal expansion of Aedes aegypti and the dengue fever epidemic under climate change in China.

Ziyue Zhou, Guanhao He, Jianxiong Hu, Guodong Li, Hepeng Pan, Yayi Li, Siwen Yu, Zhiqing Chen, Wenjun Ma, Guanghu Zhu and 1 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Dengue outbreaks in China during 2005-2023: a systematic analysis.Frontiers in cellular and infection microbiology · 2026
    Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ziyue ZhouDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Guanhao HeDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Jianxiong HuChina Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China.
Guodong LiSchool of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, China.
Hepeng PanSchool of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, China.
Yayi LiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Siwen YuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Zhiqing ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Guanghu ZhuSchool of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, China.ORCID 0000-0002-1416-1476
Tao LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.ORCID 0000-0003-1451-5251

Funding

Guangdong Basic and Applied Basic Research FoundationGuangxi Natural Science FoundationNational Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaScience and Technology Project of Guangxi
6 · The paper itself

Abstract

backgroundAedes aegypti is the primary vector of dengue fever, a disease whose transmission is strongly dependent on warm, humid climates. While the geographical and seasonal patterns of dengue are well-established, systematic projections of how climate change will affect the distribution of Aedes aegypti and dengue transmission risk in China remain limited.

methodWe integrated a phenological model with a dynamical mathematical model to project the future distribution and population dynamics of Aedes aegypti under multiple Shared Socioeconomic Pathways (SSPs). We assessed life-cycle completion (LCC) intensity at the municipal level across China and simulated detailed mosquito population dynamics and dengue transmission in six representative cities under sustainable (SSP1-2.6), regional rivalry (SSP3-7.0), and fossil-fueled development (SSP5-8.5) scenarios.

resultsClimate warming is projected to accelerate the developmental rate of Aedes aegypti, with the most severe risks under the SSP5-8.5. By the 2090s, southern coastal cities could average 26 LCCs per year, and approximately 90% of Chinese cities may sustain at least one annual generation. The mosquito's range is expected to expand northward, with peak abundance shifting to September-October. Lengthened active seasons, particularly in the third and fourth quarters, are anticipated. Consequently, dengue incidence is projected to rise, peaking later in the year (October-November). In a high-emission future, Guangzhou could experience peaks of up to 11,000 daily cases.

conclusionClimate warming could increase the generational turnover, expand the geographic range, and prolong the seasonal activity of Aedes aegypti in China, thereby significantly elevating the risk of dengue transmission. These projections enhance our ability to predict outbreaks and are critical for informing proactive, targeted public health control strategies.

Indexed as

AedesClimate ChangeDengueEpidemicsMosquito VectorsAnimalsChinaCitiesHumansModels, TheoreticalPopulation DynamicsSeasonsSpatio-Temporal Analysis

Identifiers

PMID41259371
PMCPMC12629432

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.