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Inclusion of persons with disabilities in humanitarian action. Case studies collection 2019. 39 examples of field practices, and learnings from 20 countries, for all phases of humanitarian response

PALMER, Tom
et al
December 2019

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Published at the same time as the Inter-Agency Standing Committee (IASC) Guidelines on Inclusion of Persons with Disabilities in Humanitarian Action, this report aims to support their uptake and promote learning by example. This report presents 39 short case studies on inclusive practices for persons with disabilities in humanitarian action and disaster risk reduction (DRR). It is designed for humanitarian stakeholders with limited experience of working with and for persons with disabilities, as well as for organizations of persons with disabilities (OPDs) planning to engage in humanitarian action and DRR. The report draws lessons from field practices, but does not provide technical guidance. The IASC Guidelines are the reference document to seek in-depth theoretical and technical information

 

The case studies focus on:

  • Inclusive disaster risk reduction and preparedness
  • Collecting and using disability disaggregated data for assessments and programming.
  • Participation of persons with disabilities and their representative organizations in humanitarian response and recovery
  • Removing barriers to access humanitarian assistance and protection.
  • Influencing coordination mechanisms and resource mobilization to be inclusive

 

The evidence presented in this report was identified in 2017-2018 through a desk review of publicly available reports and internal documents on projects implemented by CBM, HI and IDA members, as well as their partners and affiliate members. Field visits to Lebanon, Jordan, Kenya, Nepal, and the Philippines conducted in 2018 also informed the case-study collection and documentation

Mapping malaria risk in Africa

MAPPING MALARIA RISK IN AFRICA / ATLAS DU RISKE DE LA MALARIA EN AFRIQUE (MARA/ARMA)
December 2004

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This site presents maps of malaria risk and endemicity (the presence of malaria) in Africa, drawing on published and unpublished data, and through spatial modelling of malaria distribution, seasonality and endemicity. Many factors, especially endemicity, affect the choice of control methods. In the absence of such data it is impossible to rationalize the allocation of limited resources for malaria control. This site presents an opportunity to rethink endemicity and how we may map malaria risk in order to better support planning and programming of malaria control

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