ArticleMalaria journal2026
Environmental suitability of Anopheles mosquito species in the Maekel region, Eritrea: species distribution modeling using maximum entropy.
Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMalaria, a significant global health challenge, is transmitted exclusively by Anopheles mosquitoes. The dependence of mosquito habitats on environmental conditions, coupled with the established link between malaria prevalence and habitat niches, highlights the dynamic interplay between mosquito ecology and environmental factors in malaria transmission. This study aims to determine the current and future environmental suitability of Anopheles mosquitoes in the Maekel region using species distribution modeling (SDM). METHODOLOGY: Species occurrence data, along with environmental and bioclimatic variables, were used to model habitat suitability using Maxent. Highly correlated variables, defined as those with a Pearson correlation coefficient exceeding 0.7, were excluded from the model. Future climate projections from the Coupled Model Intercomparison Project (CMIP-6) were used to project species distributions under two shared socioeconomic pathway scenarios: SSP370 and SSP585. Key environmental variables influencing species survival were identified through the jackknife test of variable importance. Model performance was evaluated via area under the curve (AUC) statistics.
resultsA total of 94 larval breeding sites positive for Anopheles were identified across 24 villages. The most prevalent species, Anopheles cinereus, was identified in 20 villages, followed by Anopheles demeilloni and Anopheles squamosus. Anopheles gambiae, the primary malaria vector in Eritrea and Africa, was identified at 5 sites in 4 villages. Maxent modeling indicated that large areas of the Maekel region are highly suitable for Anopheles species, with projected increases in suitability by 2030 and 2050 under both climate change scenarios.
conclusionAnopheles mosquitoes are well established across significant portions of the Maekel region, and their distribution is projected to expand in the future. Comprehensive nationwide studies are necessary to map species distributions and bionomics, enabling the refinement of malaria control strategies in response to the rapid expansion of Anopheles mosquitoes driven by climate change.
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.