ArticlePloS one2025
Future geographical distribution of Aedes albopictus in China under climate change scenarios.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Predicting the global risk of chikungunya virus under climate change using ensemble species distribution models.Frontiers in cellular and infection microbiology · 2026Article
- Analysis of current status of knowledge, attitudes, and influencing factors regarding chikungunya fever among medical staff in Chengdu, Sichuan province, China: a cross-sectional study.Frontiers in public health · 2026Article
- Composite function and Biomod2 for evaluating the influence of climate change on the distribution ofOne health (Amsterdam, Netherlands) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amidst the escalating global threat of dengue fever, the distribution of its primary vector, Aedes albopictus, is undergoing significant shifts due to climate change. This study utilized Biomod2 to simulate the distribution changes of Ae. albopictus in China under future climate scenarios, providing critical insights for public health preparedness. Results showed that, the ensemble model achieved an ROC value of 0.968, a TSS value of 0.81, and a KAPPA value of 0.789, indicating high accuracy. Under current climate condition, the highly suitability regions were predominantly in the southern and eastern coastal areas of China. Guangdong, Guangxi, and Hunan possessed the largest areas of highly suitability, measuring 15.61 × 104 km2, 20.84 × 104 km2 and 11.71 × 104 km2, respectively. Under SSP1-2.6 in the 2050s, highly suitability regions were projected to expand significantly, particularly in central Guangxi, northern Guangdong, and central Fujian. Centroids of the total suitability regions were predicted to shift southeast under SSP1-2.6 and SSP5-8.5, and northeast under SSP2-4.5 and SSP3-7.0, reflecting the dynamic response of Ae. albopictus to climate change. These findings underscore the imperative for climate-adaptive strategies in public health policies to mitigate the risks of dengue fever transmission in China.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.