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Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria

Dynamic measures of human populations are critical for global health management but are often overlooked, largely because they are difficult to quantify. Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of h...

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Autores principales: Bharti, Nita, Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233255/
https://www.ncbi.nlm.nih.gov/pubmed/30422123
http://dx.doi.org/10.1038/sdata.2018.256
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author Bharti, Nita
Tatem, Andrew J.
author_facet Bharti, Nita
Tatem, Andrew J.
author_sort Bharti, Nita
collection PubMed
description Dynamic measures of human populations are critical for global health management but are often overlooked, largely because they are difficult to quantify. Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of human populations, past and present, to complement public health analyses and interventions. We used anthropogenic illumination from publicly accessible, serial satellite nighttime images as a quantifiable proxy for seasonal population variation in five urban areas in Niger and Nigeria. We identified population fluxes as the mechanistic driver of regional seasonal measles outbreaks. Our data showed 1) urban illumination fluctuated seasonally, 2) corresponding population fluctuations were sufficient to drive seasonal measles outbreaks, and 3) overlooking these fluctuations during vaccination activities resulted in below-target coverage levels, incapable of halting transmission of the virus. We designed immunization solutions capable of achieving above-target coverage of both resident and mobile populations. Here, we provide detailed data on brightness from 2000–2005 for 5 cities in Niger and Nigeria and detailed methodology for application to other populations.
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spelling pubmed-62332552018-11-14 Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria Bharti, Nita Tatem, Andrew J. Sci Data Data Descriptor Dynamic measures of human populations are critical for global health management but are often overlooked, largely because they are difficult to quantify. Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of human populations, past and present, to complement public health analyses and interventions. We used anthropogenic illumination from publicly accessible, serial satellite nighttime images as a quantifiable proxy for seasonal population variation in five urban areas in Niger and Nigeria. We identified population fluxes as the mechanistic driver of regional seasonal measles outbreaks. Our data showed 1) urban illumination fluctuated seasonally, 2) corresponding population fluctuations were sufficient to drive seasonal measles outbreaks, and 3) overlooking these fluctuations during vaccination activities resulted in below-target coverage levels, incapable of halting transmission of the virus. We designed immunization solutions capable of achieving above-target coverage of both resident and mobile populations. Here, we provide detailed data on brightness from 2000–2005 for 5 cities in Niger and Nigeria and detailed methodology for application to other populations. Nature Publishing Group 2018-11-13 /pmc/articles/PMC6233255/ /pubmed/30422123 http://dx.doi.org/10.1038/sdata.2018.256 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
Bharti, Nita
Tatem, Andrew J.
Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria
title Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria
title_full Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria
title_fullStr Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria
title_full_unstemmed Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria
title_short Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria
title_sort fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in niger and nigeria
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233255/
https://www.ncbi.nlm.nih.gov/pubmed/30422123
http://dx.doi.org/10.1038/sdata.2018.256
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