Geospatial analysis: a new frontier in humanitarian health research?
The complexity and brutality of modern conflicts, with Yemen as a prime example, pose threats to humanitarian providers and reduce access to affected communities. Humanitarians and researchers alike have increasingly used remote methods to study health challenges, monitor health violations, and deli...
- Autores:
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14762
- Acceso en línea:
- https://doi.org/10.1016/S2214-109X(20)30390-9
http://hdl.handle.net/20.500.12010/14762
- Palabra clave:
- Geospatial analysis
Humanitarian health
COVID 19
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
- Rights
- License
- Abierto (Texto Completo)
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| dc.title.spa.fl_str_mv |
Geospatial analysis: a new frontier in humanitarian health research? |
| title |
Geospatial analysis: a new frontier in humanitarian health research? |
| spellingShingle |
Geospatial analysis: a new frontier in humanitarian health research? Geospatial analysis Humanitarian health COVID 19 Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| title_short |
Geospatial analysis: a new frontier in humanitarian health research? |
| title_full |
Geospatial analysis: a new frontier in humanitarian health research? |
| title_fullStr |
Geospatial analysis: a new frontier in humanitarian health research? |
| title_full_unstemmed |
Geospatial analysis: a new frontier in humanitarian health research? |
| title_sort |
Geospatial analysis: a new frontier in humanitarian health research? |
| dc.subject.spa.fl_str_mv |
Geospatial analysis Humanitarian health COVID 19 |
| topic |
Geospatial analysis Humanitarian health COVID 19 Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| dc.subject.lemb.spa.fl_str_mv |
Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| description |
The complexity and brutality of modern conflicts, with Yemen as a prime example, pose threats to humanitarian providers and reduce access to affected communities. Humanitarians and researchers alike have increasingly used remote methods to study health challenges, monitor health violations, and deliver interventions. Remote methods can be as simple as Skyping local providers or more sophisticated such as machine learning-based monitoring of social media reports. In The Lancet Global Health, Kent Garber and colleagues1 explore a grossly underused remote method in humanitarian health research, that is, geospatial analysis. |
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2020 |
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2020-10-22T16:31:55Z |
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2020-10-22T16:31:55Z |
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2020 |
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Artículo |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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0140-6736 |
| dc.identifier.other.spa.fl_str_mv |
https://doi.org/10.1016/S2214-109X(20)30390-9 |
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http://hdl.handle.net/20.500.12010/14762 |
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https://doi.org/10.1016/S2214-109X(20)30390-9 |
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0140-6736 |
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https://doi.org/10.1016/S2214-109X(20)30390-9 http://hdl.handle.net/20.500.12010/14762 |
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eng |
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eng |
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Abierto (Texto Completo) |
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Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
| dc.format.extent.spa.fl_str_mv |
2 páginas |
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application/pdf |
| dc.publisher.spa.fl_str_mv |
The Lancet |
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reponame:Expeditio Repositorio Institucional UJTL instname:Universidad de Bogotá Jorge Tadeo Lozano |
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2020-10-22T16:31:55Z2020-10-22T16:31:55Z20200140-6736https://doi.org/10.1016/S2214-109X(20)30390-9http://hdl.handle.net/20.500.12010/14762https://doi.org/10.1016/S2214-109X(20)30390-9The complexity and brutality of modern conflicts, with Yemen as a prime example, pose threats to humanitarian providers and reduce access to affected communities. Humanitarians and researchers alike have increasingly used remote methods to study health challenges, monitor health violations, and deliver interventions. Remote methods can be as simple as Skyping local providers or more sophisticated such as machine learning-based monitoring of social media reports. In The Lancet Global Health, Kent Garber and colleagues1 explore a grossly underused remote method in humanitarian health research, that is, geospatial analysis.2 páginasapplication/pdfengThe Lancetreponame:Expeditio Repositorio Institucional UJTLinstname:Universidad de Bogotá Jorge Tadeo LozanoGeospatial analysisHumanitarian healthCOVID 19Síndrome respiratorio agudo graveCOVID-19SARS-CoV-2CoronavirusGeospatial analysis: a new frontier in humanitarian health research?Artículohttp://purl.org/coar/resource_type/c_2df8fbb1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Jabbour, SamerAttal, BothainaLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14762/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAILGeospatial-analysis--a-new-frontier-in-humanitarian-_2020_The-Lancet-Global-.pdf.jpgGeospatial-analysis--a-new-frontier-in-humanitarian-_2020_The-Lancet-Global-.pdf.jpgIM Thumbnailimage/jpeg14439https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14762/3/Geospatial-analysis--a-new-frontier-in-humanitarian-_2020_The-Lancet-Global-.pdf.jpgf4c11b3d8d970a49972eda49029c6372MD53open access20.500.12010/14762oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/147622021-03-12 17:56:16.481metadata only accessRepositorio Institucional - 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