ArticleParasites & vectors2011
The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis.
Article in Parasites & vectors, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 306 papers, 11 of them syntheses 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
306 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Systematic review of Anopheles abundance and meta-analysis of nonhuman primate malaria infection in mosquitoes in Thailand.Parasites & vectors · 2026Pooled it
- A quantitative and systematic analysis of Anopheles stephensi bionomics and control approaches.Acta tropica · 2024Pooled it
- Optimizing malaria vector control in the Greater Mekong Subregion: a systematic review and mathematical modelling study to identify desirable intervention characteristics.Parasites & vectors · 2024Pooled it
- Trends in mosquito species distribution modeling: insights for vector surveillance and disease control.Parasites & vectors · 2023Pooled it
- Prevalence of Plasmodium spp. in Anopheles mosquitoes in Thailand: a systematic review and meta-analysis.Parasites & vectors · 2022Pooled it
- Updated occurrence and bionomics of potential malaria vectors in Europe: a systematic review (2000-2021).Parasites & vectors · 2022Pooled it
- Reproducibility of malaria sporozoite challenge model in humans for evaluating efficacy of vaccines and drugs: a systematic review.BMC infectious diseases · 2021Pooled it
- Residual Malaria Transmission in Select Countries of Asia-Pacific Region: Old Wine in a New Barrel.The Journal of infectious diseases · 2021Pooled it
- Insecticide space spraying for preventing malaria transmission.The Cochrane database of systematic reviews · 2018Pooled it
- Global prevalence and distribution of coinfection of malaria, dengue and chikungunya: a systematic review.BMC public health · 2018Pooled it
- Mosquito repellents for malaria prevention.The Cochrane database of systematic reviews · 2018Pooled it
- Assessment of antibody responses to Anopheles SG6-P1 and Aedes N-term 34 kDa salivary peptides: a randomised human-challenge trial of controlled exposures to vector bites.BMC medicine · 2026Trial
- Measuring effects of ivermectin-treated cattle on potential malaria vectors in Vietnam: A cluster-randomized trial.PLoS neglected tropical diseases · 2024Trial
- Refined efficacy estimates of the Sanofi Pasteur dengue vaccine CYD-TDV using machine learning.Nature communications · 2018Trial
- Differential resistance of heat shock proteins (HSP70 and HSP90) in Anopheles culicifacies mosquitoes with respect to variations in temperature in India.Molecular biology reports · 2026Article
- Larval competition between the invasive Anopheles stephensi and African native mosquitoes.Research square · 2026Article
- Larval habitat preferences of Anopheles dirus and Anopheles maculatus in North Sumatra, Indonesia.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
- Unite against Malaria: challenges and achievements in malaria control around the globe.Nature communications · 2026Article
246 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors.
Funding
Abstract
backgroundThe 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.
resultsExpert 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.
conclusionsThis 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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