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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-4772652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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