Literature DB >> 21612587

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

Marianne E Sinka1, Michael J Bangs, Sylvie Manguin, Theeraphap Chareonviriyaphap, Anand P Patil, William H Temperley, Peter W Gething, Iqbal R F Elyazar, Caroline W Kabaria, Ralph E Harbach, Simon I Hay.   

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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Year:  2011        PMID: 21612587      PMCID: PMC3127851          DOI: 10.1186/1756-3305-4-89

Source DB:  PubMed          Journal:  Parasit Vectors        ISSN: 1756-3305            Impact factor:   3.876


  455 in total

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10.  Genetic diversity in two sibling species of the Anopheles punctulatus group of mosquitoes on Guadalcanal in the Solomon Islands.

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  205 in total

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2.  Computational identification of novel microRNAs and their targets in the malarial vector, Anopheles stephensi.

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Journal:  Syst Synth Biol       Date:  2015-02-21

3.  Geometric morphometrics approach towards discrimination of three member species of Maculatus group in Thailand.

Authors:  Tanawat Chaiphongpachara; Patchara Sriwichai; Yudthana Samung; Jiraporn Ruangsittichai; Ronald Enrique Morales Vargas; Liwang Cui; Jetsumon Sattabongkot; Jean-Pierre Dujardin; Suchada Sumruayphol
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4.  Falciparum Malaria Outbreak in Sabah Linked to an Immigrant Rubber Tapper.

Authors:  Saffree Mohammad Jeffree; Kamruddin Ahmed; Nazarudin Safian; Rohaizat Hassan; Omar Mihat; Khamisah Awang Lukman; Shamsul Bahari Shamsudin; Fadzilah Kamaludin
Journal:  Am J Trop Med Hyg       Date:  2018-01-01       Impact factor: 2.345

5.  Ecological covariates based predictive model of malaria risk in the state of Chhattisgarh, India.

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Review 6.  Mapping population and pathogen movements.

Authors:  Andrew J Tatem
Journal:  Int Health       Date:  2014-01-30       Impact factor: 2.473

7.  Spatial correlation between malaria cases and water-bodies in Anopheles sinensis dominated areas of Huang-Huai plain, China.

Authors:  Shui-Sen Zhou; Shao-Sen Zhang; Jian-Jun Wang; Xiang Zheng; Fang Huang; Wei-Dong Li; Xian Xu; Hong-Wei Zhang
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10.  A standard cytogenetic map for Anopheles sinensis and chromosome arm homology between the subgenera Anopheles and Cellia.

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Journal:  Med Vet Entomol       Date:  2014-08       Impact factor: 2.739

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