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How sex‐ and age‐disaggregated data and gender and generational analyses can improve humanitarian response

Dados Bibliográficos

ID7280529
AutoresDyan Mazurana (Tufts University), Prisca Benelli (Tufts University), Peter Walker (0000-0001-8968-8486, Tufts University)
Ano2013
Volume37
Fascículos1
PáginasS68-82
Data de publicação2013-06-11
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoDisasters (JOURNAL)
Identificadores do periódicoISSN: 0361-3666 • E-ISSN: 1467-7717
EditoraWiley (PUBLISHER • GB)
DOI10.1111/disa.12013
PMID23905768
OpenAlexW2136301479
IdiomaEN
Citações recebidas18
Referências citadas9

Humanitarian aid remains largely driven by anecdote rather than by evidence. The contemporary humanitarian system has significant weaknesses with regard to data collection, analysis, and action at all stages of response to crises involving armed conflict or natural disaster. This paper argues that humanitarian actors can best determine and respond to vulnerabilities and needs if they use sex‐ and age‐disaggregated data (SADD) and gender and generational analyses to help shape their assessments of crises‐affected populations. Through case studies, the paper shows how gaps in information on sex and age limit the effectiveness of humanitarian response in all phases of a crisis. The case studies serve to show how proper collection, use, and analysis of SADD enable operational agencies to deliver assistance more effectively and efficiently. The evidence suggests that the employment of SADD and gender and generational analyses assists in saving lives and livelihoods in a crisis

Computer security · Environmental health · Forensic engineering · Injury prevention · Occupational safety and health · Poison control · Sociology · Suicide prevention · Child Nutrition and Water Access · Computer Science · Demography · Engineering · Global Maternal and Child Health · Human Factors and Ergonomics · Medicine · Poverty, Education, and Child Welfare · Psychology · Gerontology

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Obras citantes distintas18
Citações por ano1,64
Intervalo de citações2015 - 2025 (11)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 16
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