Machine learning and phone data can improve targeting of humanitarian aid. [PDF]
Nature, 2022 Aiken E +4 more
europepmc +2 more sources
Responsible exit of humanitarian aid agencies at the end of programmes: a scoping review protocol. [PDF]
BMJ Open, 2023 Bahati D, Sy H, Kalhor A, Marchal B.
europepmc +1 more source
Characteristics of humanitarian aid in a developed country: Israel Defense Force's experience from the Türkiye -Syria earthquake. [PDF]
J Glob Health, 2023 Nitecki M, Ohayon S, Almog O.
europepmc +1 more source
A simulation approach for collaborative humanitarian aid distribution management: the case of Bogotá city. [PDF]
Heliyon, 2022 Guzmán-Cortés DC +3 more
europepmc +1 more source
The humanitarian aid of neurosurgical missions in Peru: A chronicle and future perspectives. [PDF]
Surg Neurol Int, 2022 Bocanegra-Becerra JE +5 more
europepmc +1 more source
How do international humanitarian aid workers stay healthy in the face of adversity? [PDF]
PLoS One, 2022 De Jong K +5 more
europepmc +1 more source
Factors associated with international humanitarian aid appeal for disasters from 1995 to 2015: A retrospective database study. [PDF]
PLoS One, 2023 Cheng L +9 more
europepmc +1 more source
Psychosocial model of burnout among humanitarian aid workers in Bangladesh: role of workplace stressors and emotion coping. [PDF]
Confl Health, 2023 Foo CYS, Tay AK, Yang Y, Verdeli H.
europepmc +1 more source
From food to cash assistance: rethinking humanitarian aid in Yemen. [PDF]
J Int Humanit Action, 2022 Elayah M, Gaber Q, Fenttiman M.
europepmc +1 more source
Health trajectories of international humanitarian aid workers: growth mixture modelling findings from a prospective cohort study. [PDF]
BJPsych Open, 2023 de Jong K +5 more
europepmc +1 more source