The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis
Open accessAbstract
BACKGROUND: The final article in a series of three publications examining the global distribution of 41 dominant vector species (DVS) of malaria is presented here. The first publication examined the DVS from the Americas, with the second covering those species present in Africa, Europe and the Middle East. Here we discuss the 19 DVS of the Asian-Pacific region. This region experiences a high diversity of vector species, many occurring sympatrically, which, combined with the occurrence of a high number of species complexes and suspected species complexes, and behavioural plasticity of many of these major vectors, adds a level of entomological complexity not comparable elsewhere globally. To try and untangle the intricacy of the vectors of this region and to increase the effectiveness of vector control interventions, an understanding of the contemporary distribution of each species, combined with a synthesis of the current knowledge of their behaviour and ecology is needed. RESULTS: Expert opinion (EO) range maps, created with the most up-to-date expert knowledge of each DVS distribution, were combined with a contemporary database of occurrence data and a suite of open access, environmental and climatic variables. Using the Boosted Regression Tree (BRT) modelling method, distribution maps of each DVS were produced. The occurrence data were abstracted from the formal, published literature, plus other relevant sources, resulting in the collation of DVS occurrence at 10116 locations across 31 countries, of which 8853 were successfully geo-referenced and 7430 were resolved to spatial areas that could be included in the BRT model. A detailed summary of the information on the bionomics of each species and species complex is also presented. CONCLUSIONS: This article concludes a project aimed to establish the contemporary global distribution of the DVS of malaria. The three articles produced are intended as a detailed reference for scientists continuing research into the aspects of taxonomy, biology and ecology relevant to species-specific vector control. This research is particularly relevant to help unravel the complicated taxonomic status, ecology and epidemiology of the vectors of the Asia-Pacific region. All the occurrence data, predictive maps and EO-shape files generated during the production of these publications will be made available in the public domain. We hope that this will encourage data sharing to improve future iterations of the distribution maps.
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The predicted native range of An. stephensi includes Saudi Arabia and Oman.
“The predicted native range of An. stephensi includes Saudi Arabia and Oman [6].”
From Sequencing confirms Anopheles stephensi distribution across southern Yemen (2024) · cites this paper as [6]
The Results section on An. stephensi (page unavailable) says its range extends through Iran and Iraq into the Middle East and Arabian Peninsula. It does not name Saudi Arabia or Oman, or describe that range as a predicted native range, so the specific claim is not fully supported. (LLM, conf=0.83)
Experimental — accuracy not yet measured
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Changing food systems and infectious disease risks in low-income and middle-income countries
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Self-citation
- Authors
- Sinka, M. E., Bangs, M. J., Manguin, S., Chareonviriyaphap, T., Patil, A. P., Temperley, W. H., Gething, P. W., Elyazar, I. R., Kabaria, C. W., Harbach, R. E., & Hay, S. I.
- Affiliations
- University of Oxford (GB)
- Université de Montpellier (FR)
- Kasetsart University (TH)
- Oxford University Clinical Research Unit Indonesia (ID)
- Kenyatta National Hospital (KE)
- Natural History Museum (GB)
- Corresponding author
- Sinka, Marianne E
- Hay, Simon I
- ORCID
- Venue
- Parasites & Vectors
- Published
- 2011-05-25
- Volume
- 4
- Issue
- 1
- Pages
- 89-89
- ISSN
- 1756-3305 (ISSN-L)
- PMC
- PMC3127851
- OpenAlex
- W2162714623
- Cited by
- 550
- References
- 560
- Citations by year
- 2026: 17 · 2025: 35 · 2024: 51 · 2023: 33 · 2022: 56 · 2021: 39 · 2020: 41 · 2019: 35 · 2018: 26 · 2017: 38 · 2016: 31 · 2015: 31 · 2014: 39 · 2013: 41 · 2012: 32
- FWCI
- 36.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Parasites & Vectors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Funders
- Wellcome Trust (083534, 079080, 079091)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Keywords
- Anopheles, malaria vectors, species distribution, Asia-Pacific region, bionomics, species complex, sympatric species, vector control, boosted regression trees, occurrence data
- MeSH terms
- Animals, Anopheles, Asia, Disease Vectors, Geography, Humans, Malaria, Pacific Islands, Ecosystem, Biodiversity
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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