ArticleScientific reports2025
Spatial distribution and population structure of the invasive Anopheles stephensi in Kenya from 2022 to 2024.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Evidence of Anopheles stephensi involvement in the transmission of Plasmodium vivax in Djibouti City using highly sensitive sporozoite detection assay.Parasites & vectors · 2026Article
- Integrating multiplexing into confineable gene drives effectively overrides resistance in Anopheles stephensi.Nature communications · 2026Article
- Serendipitous detection of invasive malaria vector Anopheles stephensi in Kisumu, Kenya in June 2022.Scientific reports · 2026Article
- Suitable ecological niches of invasive malaria vector under present and projected climatic conditions in South of Iran.PLoS neglected tropical diseases · 2026Article
- Prioritizing urban water-storage containers for molecular surveillance of invasiveCurrent research in parasitology & vector-borne diseases · 2026Article
- Climate, Interventions, and Malaria Outcomes in a Warming World: Towards Climate-Smart Malaria Control in Kenya.Tropical medicine and infectious disease · 2025Article
- Habitat heterogeneity and green filamentous algae influence the larval ecology of Anopheles stephensi during the dry season in Eastern Ethiopia.Parasites & vectors · 2025Article
- Anopheles stephensi larval habitat superproductivity and its relevance for larval source management in Ethiopia.Malaria journal · 2025Article
- The origin, invasion history and resistance architecture ofbioRxiv : the preprint server for biology · 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
28 authors.
Funding
Abstract
This study analyzes the distribution, genetic diversity, and spread of Anopheles stephensi in Kenya following initial detection in December 2022. A total of 114 larval and 33 adult An. stephensi samples were confirmed in 7 of 18 surveyed counties majorly along transportation routes. Genetic analyses revealed three distinct genetic compositions with different levels of genetic diversity, suggesting multiple introductions into the country. The genetic composition of mosquitoes in most counties resembled southern Ethiopian populations, while those from Turkana showed a unique haplotype. A species distribution model predicts a more extensive range than currently observed, with low precipitation and minimal seasonal temperature variations as key factors influencing distribution. Challenges in adult sampling were noted, with larval sampling revealing co-occurrence with native Anopheles species. The findings have implications for surveillance and control strategies, emphasizing the need for continued monitoring, refined sampling techniques to inform bionomics, and cross-border collaboration.
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.