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A global bionomic database for the dominant vectors of human malaria

Anopheles mosquitoes were first recognised as the transmitters of human malaria in the late 19th Century and have been subject to a huge amount of research ever since. Yet there is still much that is unknown regarding the ecology, behaviour (collectively ‘bionomics’) and sometimes even the identity...

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Autores principales: Massey, N. Claire, Garrod, Gala, Wiebe, Antoinette, Henry, Andrew J., Huang, Zhi, Moyes, Catherine L., Sinka, Marianne E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772652/
https://www.ncbi.nlm.nih.gov/pubmed/26927852
http://dx.doi.org/10.1038/sdata.2016.14
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author Massey, N. Claire
Garrod, Gala
Wiebe, Antoinette
Henry, Andrew J.
Huang, Zhi
Moyes, Catherine L.
Sinka, Marianne E.
author_facet Massey, N. Claire
Garrod, Gala
Wiebe, Antoinette
Henry, Andrew J.
Huang, Zhi
Moyes, Catherine L.
Sinka, Marianne E.
author_sort Massey, N. Claire
collection PubMed
description Anopheles mosquitoes were first recognised as the transmitters of human malaria in the late 19th Century and have been subject to a huge amount of research ever since. Yet there is still much that is unknown regarding the ecology, behaviour (collectively ‘bionomics’) and sometimes even the identity of many of the world’s most prominent disease vectors, much less the within-species variation in their bionomics. Whilst malaria elimination remains an ambitious goal, it is becoming increasingly clear that knowledge of vector behaviour is needed to effectively target control measures. A database of bionomics data for the dominant vector species of malaria worldwide has been compiled from published peer-reviewed literature. The data identification and collation processes are described, together with the geo-positioning and quality control methods. This is the only such dataset in existence and provides a valuable resource to researchers and policy makers in this field.
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spelling pubmed-47726522016-03-02 A global bionomic database for the dominant vectors of human malaria Massey, N. Claire Garrod, Gala Wiebe, Antoinette Henry, Andrew J. Huang, Zhi Moyes, Catherine L. Sinka, Marianne E. Sci Data Data Descriptor Anopheles mosquitoes were first recognised as the transmitters of human malaria in the late 19th Century and have been subject to a huge amount of research ever since. Yet there is still much that is unknown regarding the ecology, behaviour (collectively ‘bionomics’) and sometimes even the identity of many of the world’s most prominent disease vectors, much less the within-species variation in their bionomics. Whilst malaria elimination remains an ambitious goal, it is becoming increasingly clear that knowledge of vector behaviour is needed to effectively target control measures. A database of bionomics data for the dominant vector species of malaria worldwide has been compiled from published peer-reviewed literature. The data identification and collation processes are described, together with the geo-positioning and quality control methods. This is the only such dataset in existence and provides a valuable resource to researchers and policy makers in this field. Nature Publishing Group 2016-03-01 /pmc/articles/PMC4772652/ /pubmed/26927852 http://dx.doi.org/10.1038/sdata.2016.14 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Massey, N. Claire
Garrod, Gala
Wiebe, Antoinette
Henry, Andrew J.
Huang, Zhi
Moyes, Catherine L.
Sinka, Marianne E.
A global bionomic database for the dominant vectors of human malaria
title A global bionomic database for the dominant vectors of human malaria
title_full A global bionomic database for the dominant vectors of human malaria
title_fullStr A global bionomic database for the dominant vectors of human malaria
title_full_unstemmed A global bionomic database for the dominant vectors of human malaria
title_short A global bionomic database for the dominant vectors of human malaria
title_sort global bionomic database for the dominant vectors of human malaria
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772652/
https://www.ncbi.nlm.nih.gov/pubmed/26927852
http://dx.doi.org/10.1038/sdata.2016.14
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