Cited by 550Malaria Research and ControlMosquito-borne diseases and controlSpecies Distribution and Climate Change

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The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis

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Sinka, Marianne E, Bangs, Michael J, Manguin, Sylvie, Chareonviriyaphap, Theeraphap, Patil, Anand P, Temperley, William H, Gething, Peter W, Elyazar, Iqbal RF, Kabaria, Caroline W, Harbach, Ralph E, Hay, Simon I·2011·Parasites & Vectors

DOI 10.1186/1756-3305-4-89PMC PMC3127851

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Abstract

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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Figure 1 Map details: The predicted distribution of the Anopheles dirus species complex mapped using hybrid data (372 occurrence data plus 500 pseudo-presences weighted at half that of the occurrence data and randomly selected from within the Expert Opinion (EO) range). Pseudo-absences (3720) were generated at a ratio of 10:1 absence to presence points, and were randomly selected from within the 1500 km buffer surrounding the EO (EO shown in the inset map). Predictions are not shown beyond the buffer boundary. The black dots show the 372 occurrence records for the complex. Map statistics: Deviance = 0.1738, Correlation = 0.8793, Discrimination (AUC) = 0.9857, Kappa = 0.8451. Environmental variables: 1. LST (P1), 2. Prec (A1), 3. MIR (P1), 4. NDVI (mean), 5. LST (P2), (see Additional file 2 for abbreviations and definitions). Copyright: Licensed to the Malaria Atlas Project [520] under a Creative Commons Attribution 3.0 License. Citation: Sinka et al. (2011) The dominant Anopheles vectors of human malaria in the Asia Pacific region: occurrence data, distribution maps and bionomic précis, Parasites & Vectors 2011, 4:89.CC BY · PubMed Central

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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: Sinka, Marianne E
Bangs, Michael J
Manguin, Sylvie
Chareonviriyaphap, Theeraphap
Gething, Peter W
Elyazar, Iqbal RF
Kabaria, Caroline W
Harbach, Ralph E
Hay, Simon I
Venue: Parasites & Vectors
Publisher: Springer Science and Business Media LLC
Published: 2011-05-25
Volume: 4
Issue: 1
Pages: 89-89
ISSN: 1756-3305 (ISSN-L)
DOI: 10.1186/1756-3305-4-89
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: cc-by
creativecommons.org/licenses/by/2.0 (tdm)
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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The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis

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