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Spatial–temporal trends in forced migrant mortality, 2014–2018
INTRODUCTION: The identification of spatial–temporal clusters of forced migrant mortality is urgently needed to inform preventative policies and humanitarian response. As a first step towards understanding the geography of forced migrant mortality, this study investigates spatial–temporal patterns i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549474/ https://www.ncbi.nlm.nih.gov/pubmed/33037060 http://dx.doi.org/10.1136/bmjgh-2020-002885 |
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author | Poole, Danielle N Hedt-Gauthier, Bethany Bärnighausen, Till Verguet, Stéphane Castro, Marcia C |
author_facet | Poole, Danielle N Hedt-Gauthier, Bethany Bärnighausen, Till Verguet, Stéphane Castro, Marcia C |
author_sort | Poole, Danielle N |
collection | PubMed |
description | INTRODUCTION: The identification of spatial–temporal clusters of forced migrant mortality is urgently needed to inform preventative policies and humanitarian response. As a first step towards understanding the geography of forced migrant mortality, this study investigates spatial–temporal patterns in death at a global scale. METHODS: We used information on the location and dates of forced migrant deaths reported in the International Organization for Migration’s Missing Migrant Project from 2014 to 2018. Kulldorff’s spatial–temporal and seasonal scans were used to detect spatial–temporal and temporal heterogeneity in mortality. RESULTS: A total of 16 314 deaths were reported during the study period. A preponderance of deaths occurred at sea each year (range 26%–54% across 5 years). Twelve spatial–temporal clusters of forced migrant mortality were detected by maximum likelihood testing. Annually, the period of August–October was associated with a 40-percentage-point increase in the risk of mortality, relative to other time periods. CONCLUSIONS: Death during forced migration occurs close to national borders and during periods of intense conflict. This evidence may inform the design of policies and targeting of interventions to prevent forced migration-related deaths. |
format | Online Article Text |
id | pubmed-7549474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75494742020-10-19 Spatial–temporal trends in forced migrant mortality, 2014–2018 Poole, Danielle N Hedt-Gauthier, Bethany Bärnighausen, Till Verguet, Stéphane Castro, Marcia C BMJ Glob Health Original Research INTRODUCTION: The identification of spatial–temporal clusters of forced migrant mortality is urgently needed to inform preventative policies and humanitarian response. As a first step towards understanding the geography of forced migrant mortality, this study investigates spatial–temporal patterns in death at a global scale. METHODS: We used information on the location and dates of forced migrant deaths reported in the International Organization for Migration’s Missing Migrant Project from 2014 to 2018. Kulldorff’s spatial–temporal and seasonal scans were used to detect spatial–temporal and temporal heterogeneity in mortality. RESULTS: A total of 16 314 deaths were reported during the study period. A preponderance of deaths occurred at sea each year (range 26%–54% across 5 years). Twelve spatial–temporal clusters of forced migrant mortality were detected by maximum likelihood testing. Annually, the period of August–October was associated with a 40-percentage-point increase in the risk of mortality, relative to other time periods. CONCLUSIONS: Death during forced migration occurs close to national borders and during periods of intense conflict. This evidence may inform the design of policies and targeting of interventions to prevent forced migration-related deaths. BMJ Publishing Group 2020-10-09 /pmc/articles/PMC7549474/ /pubmed/33037060 http://dx.doi.org/10.1136/bmjgh-2020-002885 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Research Poole, Danielle N Hedt-Gauthier, Bethany Bärnighausen, Till Verguet, Stéphane Castro, Marcia C Spatial–temporal trends in forced migrant mortality, 2014–2018 |
title | Spatial–temporal trends in forced migrant mortality, 2014–2018 |
title_full | Spatial–temporal trends in forced migrant mortality, 2014–2018 |
title_fullStr | Spatial–temporal trends in forced migrant mortality, 2014–2018 |
title_full_unstemmed | Spatial–temporal trends in forced migrant mortality, 2014–2018 |
title_short | Spatial–temporal trends in forced migrant mortality, 2014–2018 |
title_sort | spatial–temporal trends in forced migrant mortality, 2014–2018 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549474/ https://www.ncbi.nlm.nih.gov/pubmed/33037060 http://dx.doi.org/10.1136/bmjgh-2020-002885 |
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