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Mapping internal connectivity through human migration in malaria endemic countries
Human mobility continues to increase in terms of volumes and reach, producing growing global connectivity. This connectivity hampers efforts to eliminate infectious diseases such as malaria through reintroductions of pathogens, and thus accounting for it becomes important in designing global, contin...
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/PMC5127488/ https://www.ncbi.nlm.nih.gov/pubmed/27529469 http://dx.doi.org/10.1038/sdata.2016.66 |
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author | Sorichetta, Alessandro Bird, Tom J. Ruktanonchai, Nick W. zu Erbach-Schoenberg, Elisabeth Pezzulo, Carla Tejedor, Natalia Waldock, Ian C. Sadler, Jason D. Garcia, Andres J. Sedda, Luigi Tatem, Andrew J. |
author_facet | Sorichetta, Alessandro Bird, Tom J. Ruktanonchai, Nick W. zu Erbach-Schoenberg, Elisabeth Pezzulo, Carla Tejedor, Natalia Waldock, Ian C. Sadler, Jason D. Garcia, Andres J. Sedda, Luigi Tatem, Andrew J. |
author_sort | Sorichetta, Alessandro |
collection | PubMed |
description | Human mobility continues to increase in terms of volumes and reach, producing growing global connectivity. This connectivity hampers efforts to eliminate infectious diseases such as malaria through reintroductions of pathogens, and thus accounting for it becomes important in designing global, continental, regional, and national strategies. Recent works have shown that census-derived migration data provides a good proxy for internal connectivity, in terms of relative strengths of movement between administrative units, across temporal scales. To support global malaria eradication strategy efforts, here we describe the construction of an open access archive of estimated internal migration flows in endemic countries built through pooling of census microdata. These connectivity datasets, described here along with the approaches and methods used to create and validate them, are available both through the WorldPop website and the WorldPop Dataverse Repository. |
format | Online Article Text |
id | pubmed-5127488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51274882016-12-05 Mapping internal connectivity through human migration in malaria endemic countries Sorichetta, Alessandro Bird, Tom J. Ruktanonchai, Nick W. zu Erbach-Schoenberg, Elisabeth Pezzulo, Carla Tejedor, Natalia Waldock, Ian C. Sadler, Jason D. Garcia, Andres J. Sedda, Luigi Tatem, Andrew J. Sci Data Data Descriptor Human mobility continues to increase in terms of volumes and reach, producing growing global connectivity. This connectivity hampers efforts to eliminate infectious diseases such as malaria through reintroductions of pathogens, and thus accounting for it becomes important in designing global, continental, regional, and national strategies. Recent works have shown that census-derived migration data provides a good proxy for internal connectivity, in terms of relative strengths of movement between administrative units, across temporal scales. To support global malaria eradication strategy efforts, here we describe the construction of an open access archive of estimated internal migration flows in endemic countries built through pooling of census microdata. These connectivity datasets, described here along with the approaches and methods used to create and validate them, are available both through the WorldPop website and the WorldPop Dataverse Repository. Nature Publishing Group 2016-08-16 /pmc/articles/PMC5127488/ /pubmed/27529469 http://dx.doi.org/10.1038/sdata.2016.66 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 Sorichetta, Alessandro Bird, Tom J. Ruktanonchai, Nick W. zu Erbach-Schoenberg, Elisabeth Pezzulo, Carla Tejedor, Natalia Waldock, Ian C. Sadler, Jason D. Garcia, Andres J. Sedda, Luigi Tatem, Andrew J. Mapping internal connectivity through human migration in malaria endemic countries |
title | Mapping internal connectivity through human migration in malaria endemic countries |
title_full | Mapping internal connectivity through human migration in malaria endemic countries |
title_fullStr | Mapping internal connectivity through human migration in malaria endemic countries |
title_full_unstemmed | Mapping internal connectivity through human migration in malaria endemic countries |
title_short | Mapping internal connectivity through human migration in malaria endemic countries |
title_sort | mapping internal connectivity through human migration in malaria endemic countries |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127488/ https://www.ncbi.nlm.nih.gov/pubmed/27529469 http://dx.doi.org/10.1038/sdata.2016.66 |
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