ArticleEcoHealth2025
Ecological Niche and Potential Geographic Distribution of Aedes aegypti and Aedes albopictus in Northeast Argentina.
Article in EcoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Spatio-temporal forecasting of dengue in the Americas through hybrid mechanistic and data-driven models: Systematic review and meta-analysis.Infectious Disease Modelling · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Aedes aegypti and Aedes albopictus are the primary vectors of arboviruses in Argentina, with increasing importance in Northeastern Argentina (NEA). This study used ecological niche modeling (MaxEnt) to estimate the potential geographic distribution of both species in NEA, integrating bioclimatic, land cover, and sociodemographic variables such as population density and urban accessibility. Occurrence data were compiled from global databases and literature, and model calibration was based on variable selection, spatial filtering, and cross-validation. Results indicate a broader potential distribution for Ae. albopictus compared to Ae. aegypti, particularly in under-sampled areas of Misiones and Corrientes. Urban accessibility emerged as the most influential predictor for both species, with models combining environmental and sociodemographic variables outperforming climate-only models (AUC > 0.84). Binary habitat suitability maps showed marked differences between models, underscoring the importance of human-driven factors. These findings support the use of integrative modeling approaches to better anticipate vector expansion and prioritize surveillance. The study provides critical information to guide vector control programs and reduce the risk of arbovirus transmission, especially in densely populated and highly connected areas.
Indexed as
Identifiers
40517356What 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.