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Publication Years
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Category
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2
Toolboxes
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1
This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 millionpeople—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averagescan hide enormous inequality inpatterns of povertywith
...
in countries. For instance, in Uganda 55 percentof the population experience multidimensional poverty—similartotheaverage in Sub-Saharan Africa. But Kampala, the capital city, has an MPI rate of sixpercent, whileinthe Karamojaregion, the MPI soars to 96 percent—meaningthat partsof Ugandaspan the extremes of Sub-Saharan Africa.There is even inequality under the same roof. In South Asia, for example, almost a quarter ofchildren under five live in households where at least one child in the household is malnourished but at least one child is not.
There is also inequality among the poor. Findings of the2019 global MPI paint a detailed picture of the many differences in how-and how deeply -people experience poverty. Deprivationsamong the poor varyenormously: in general, higher MPI valuesgo hand in hand with greater variationin the intensity of poverty. Results also show that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lackingessentialssuch as clean water, sanitation, adequate nutrition or primary education
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The purpose of this document is to provide agencies with a guide with three tools containing key assessment questions that are of common relevance to all actors involved in Mental Health and Psychosocial Support (MHPSS) independent of the phase of the emergency. This guide will be useful for rapid a
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ssessments of MHPSS issues in humanitarian emergencies across sectors. The guide is designed for use by various humanitarian actors (governmental and non-governmental; local, national and global). It is based on the IASC Guidelines on Mental Health and Psychosocial Support in Emergency Settings (IASC, 2007).
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PLoSONE 14(9):e0223104.https://doi.org/10.1371/journal.pone.0223104.
The survey centering on reasons behind community resistance was conducted in Butembo in November during a time of Ebola transmission. A researcher from Catholic University of Graben in Butembo and collaborators at the University o
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f Alberta in Edmonton published their findings on Sep 26 in PLOS One.
To spark focus group discussions, the researchers used an 18-item questionnaire based on similar ones used during West Africa's outbreak in Guinea, where community resistance and episodes of violence also complicated the outbreak response.
Participants were a convenience sample of 670 adults from the region who were recruited by medical students at Catholic University of Graben. Those surveyed included clinicians, community members, and displaced persons.
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