Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Poole, Danielle N, Hedt-Gauthier, Bethany, Bärnighausen, Till, Verguet, Stéphane, Castro, Marcia C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
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
_version_ 1783592800415121408
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
work_keys_str_mv AT pooledaniellen spatialtemporaltrendsinforcedmigrantmortality20142018
AT hedtgauthierbethany spatialtemporaltrendsinforcedmigrantmortality20142018
AT barnighausentill spatialtemporaltrendsinforcedmigrantmortality20142018
AT verguetstephane spatialtemporaltrendsinforcedmigrantmortality20142018
AT castromarciac spatialtemporaltrendsinforcedmigrantmortality20142018