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Mapping Plasmodium falciparum Mortality in Africa between 1990 and 2015.
Gething, Peter W; Casey, Daniel C; Weiss, Daniel J; Bisanzio, Donal; Bhatt, Samir; Cameron, Ewan; Battle, Katherine E; Dalrymple, Ursula; Rozier, Jennifer; Rao, Puja C; Kutz, Michael J; Barber, Ryan M; Huynh, Chantal; Shackelford, Katya A; Coates, Matthew M; Nguyen, Grant; Fraser, Maya S; Kulikoff, Rachel; Wang, Haidong; Naghavi, Mohsen; Smith, David L; Murray, Christopher J L; Hay, Simon I; Lim, Stephen S.
Afiliação
  • Gething PW; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Casey DC; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Weiss DJ; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Bisanzio D; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Bhatt S; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Cameron E; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Battle KE; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Dalrymple U; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Rozier J; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Rao PC; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Kutz MJ; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Barber RM; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Huynh C; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Shackelford KA; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Coates MM; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Nguyen G; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Fraser MS; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Kulikoff R; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Wang H; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Naghavi M; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Smith DL; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Murray CJ; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Hay SI; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
  • Lim SS; From the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford (P.W.G., D.J.W., D.B., E.C., K.E.B., U.D., J.R.), and the Department of Infectious Disease Epidemiology, Imperial College London, London (S.B.) -
N Engl J Med ; 375(25): 2435-2445, 2016 12 22.
Article em En | MEDLINE | ID: mdl-27723434
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plasmodium falciparum / Malária Falciparum Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Child, preschool / Humans / Infant / Newborn País/Região como assunto: Africa Idioma: En Revista: N Engl J Med Ano de publicação: 2016 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plasmodium falciparum / Malária Falciparum Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Child, preschool / Humans / Infant / Newborn País/Região como assunto: Africa Idioma: En Revista: N Engl J Med Ano de publicação: 2016 Tipo de documento: Article