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Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia
Despite a long history of mosquito-borne virus epidemics in the Americas, the impact of the Zika virus (ZIKV) epidemic of 2015–2016 was unexpected. The need for scientifically informed decision-making is driving research to understand the emergence and spread of ZIKV. To support that research, we as...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914286/ https://www.ncbi.nlm.nih.gov/pubmed/29688216 http://dx.doi.org/10.1038/sdata.2018.73 |
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author | Siraj, Amir S. Rodriguez-Barraquer, Isabel Barker, Christopher M. Tejedor-Garavito, Natalia Harding, Dennis Lorton, Christopher Lukacevic, Dejan Oates, Gene Espana, Guido Kraemer, Moritz U.G. Manore, Carrie Johansson, Michael A. Tatem, Andrew J. Reiner, Robert C. Perkins, T. Alex |
author_facet | Siraj, Amir S. Rodriguez-Barraquer, Isabel Barker, Christopher M. Tejedor-Garavito, Natalia Harding, Dennis Lorton, Christopher Lukacevic, Dejan Oates, Gene Espana, Guido Kraemer, Moritz U.G. Manore, Carrie Johansson, Michael A. Tatem, Andrew J. Reiner, Robert C. Perkins, T. Alex |
author_sort | Siraj, Amir S. |
collection | PubMed |
description | Despite a long history of mosquito-borne virus epidemics in the Americas, the impact of the Zika virus (ZIKV) epidemic of 2015–2016 was unexpected. The need for scientifically informed decision-making is driving research to understand the emergence and spread of ZIKV. To support that research, we assembled a data set of key covariates for modeling ZIKV transmission dynamics in Colombia, where ZIKV transmission was widespread and the government made incidence data publically available. On a weekly basis between January 1, 2014 and October 1, 2016 at three administrative levels, we collated spatiotemporal Zika incidence data, nine environmental variables, and demographic data into a single downloadable database. These new datasets and those we identified, processed, and assembled at comparable spatial and temporal resolutions will save future researchers considerable time and effort in performing these data processing steps, enabling them to focus instead on extracting epidemiological insights from this important data set. Similar approaches could prove useful for filling data gaps to enable epidemiological analyses of future disease emergence events. |
format | Online Article Text |
id | pubmed-5914286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59142862018-05-10 Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia Siraj, Amir S. Rodriguez-Barraquer, Isabel Barker, Christopher M. Tejedor-Garavito, Natalia Harding, Dennis Lorton, Christopher Lukacevic, Dejan Oates, Gene Espana, Guido Kraemer, Moritz U.G. Manore, Carrie Johansson, Michael A. Tatem, Andrew J. Reiner, Robert C. Perkins, T. Alex Sci Data Data Descriptor Despite a long history of mosquito-borne virus epidemics in the Americas, the impact of the Zika virus (ZIKV) epidemic of 2015–2016 was unexpected. The need for scientifically informed decision-making is driving research to understand the emergence and spread of ZIKV. To support that research, we assembled a data set of key covariates for modeling ZIKV transmission dynamics in Colombia, where ZIKV transmission was widespread and the government made incidence data publically available. On a weekly basis between January 1, 2014 and October 1, 2016 at three administrative levels, we collated spatiotemporal Zika incidence data, nine environmental variables, and demographic data into a single downloadable database. These new datasets and those we identified, processed, and assembled at comparable spatial and temporal resolutions will save future researchers considerable time and effort in performing these data processing steps, enabling them to focus instead on extracting epidemiological insights from this important data set. Similar approaches could prove useful for filling data gaps to enable epidemiological analyses of future disease emergence events. Nature Publishing Group 2018-04-24 /pmc/articles/PMC5914286/ /pubmed/29688216 http://dx.doi.org/10.1038/sdata.2018.73 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Siraj, Amir S. Rodriguez-Barraquer, Isabel Barker, Christopher M. Tejedor-Garavito, Natalia Harding, Dennis Lorton, Christopher Lukacevic, Dejan Oates, Gene Espana, Guido Kraemer, Moritz U.G. Manore, Carrie Johansson, Michael A. Tatem, Andrew J. Reiner, Robert C. Perkins, T. Alex Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia |
title | Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia |
title_full | Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia |
title_fullStr | Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia |
title_full_unstemmed | Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia |
title_short | Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia |
title_sort | spatiotemporal incidence of zika and associated environmental drivers for the 2015-2016 epidemic in colombia |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914286/ https://www.ncbi.nlm.nih.gov/pubmed/29688216 http://dx.doi.org/10.1038/sdata.2018.73 |
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