ArticleScientific reports2024
Predicting the environmental suitability for Anopheles stephensi under the current conditions in Ghana.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of Anopheles stephensi in Horn of Africa: a systematic review and meta-analysis.BMC infectious diseases · 2025Pooled it
- Post-establishment environmental suitability ofOne health (Amsterdam, Netherlands) · 2026Article
- Suitable ecological niches of invasive malaria vector under present and projected climatic conditions in South of Iran.PLoS neglected tropical diseases · 2026Article
- Spatial distribution and population structure of the invasive Anopheles stephensi in Kenya from 2022 to 2024.Scientific reports · 2025Article
- Potential distribution of malaria vectors in Central Vietnam: A MaxEnt modeling approach.Veterinary world · 2024Article
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Authors and funding
19 authors.
Funding
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Abstract
Vector-borne diseases emergence, particularly malaria, present a significant public health challenge worldwide. Anophelines are predominant malaria vectors, with varied distribution, and influenced by environment and climate. This study, in Ghana, modelled environmental suitability for Anopheles stephensi, a potential vector that may threaten advances in malaria and vector control. Understanding this vector's distribution and dynamics ensures effective malaria and vector control programmes implementation. We explored the MaxEnt ecological modelling method to forecast An. stephensi's potential hotspots and niches. We analysed environmental and climatic variables to predict spatial distribution and ecological niches of An. stephensi with a spatial resolution of approximately 5 km
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