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Racism, xenophobia, and discrimination: data disaggregation is a complex but crucial step to improving child health.
Devakumar, Delan; Rajagopalan, Srivatsan; Strong, Kathleen L; Requejo, Jennifer; Diaz, Theresa; Gram, Lu; Aldridge, Robert; Dalglish, Sarah L.
Affiliation
  • Devakumar D; Institute for Global Health, University College London, London WC1N 1EH, UK. Electronic address: d.devakumar@ucl.ac.uk.
  • Rajagopalan S; Children in All Policies 2030, Institute for Global Health, University College London, London, UK.
  • Strong KL; Department of Maternal, Newborn, Child and Adolescent Health and Ageing, WHO, Geneva, Switzerland.
  • Requejo J; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Global Financing Facility, World Bank Group, Washington DC, USA.
  • Diaz T; Department of Maternal, Newborn, Child and Adolescent Health and Ageing, WHO, Geneva, Switzerland.
  • Gram L; Institute for Global Health, University College London, London WC1N 1EH, UK.
  • Aldridge R; Institute of Health Informatics, University College London, London WC1N 1EH, UK.
  • Dalglish SL; Children in All Policies 2030, Institute for Global Health, University College London, London, UK.
Lancet ; 401(10385): 1321-1323, 2023 04 22.
Article in En | MEDLINE | ID: mdl-37004671
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Racism Type of study: Prognostic_studies Limits: Child / Humans Language: En Journal: Lancet Year: 2023 Document type: Article Country of publication:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Racism Type of study: Prognostic_studies Limits: Child / Humans Language: En Journal: Lancet Year: 2023 Document type: Article Country of publication: