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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-27723434
ABSTRACT

BACKGROUND:

Malaria control has not been routinely informed by the assessment of subnational variation in malaria deaths. We combined data from the Malaria Atlas Project and the Global Burden of Disease Study to estimate malaria mortality across sub-Saharan Africa on a grid of 5 km2 from 1990 through 2015.

METHODS:

We estimated malaria mortality using a spatiotemporal modeling framework of geolocated data (i.e., with known latitude and longitude) on the clinical incidence of malaria, coverage of antimalarial drug treatment, case fatality rate, and population distribution according to age.

RESULTS:

Across sub-Saharan Africa during the past 15 years, we estimated that there was an overall decrease of 57% (95% uncertainty interval, 46 to 65) in the rate of malaria deaths, from 12.5 (95% uncertainty interval, 8.3 to 17.0) per 10,000 population in 2000 to 5.4 (95% uncertainty interval, 3.4 to 7.9) in 2015. This led to an overall decrease of 37% (95% uncertainty interval, 36 to 39) in the number of malaria deaths annually, from 1,007,000 (95% uncertainty interval, 666,000 to 1,376,000) to 631,000 (95% uncertainty interval, 394,000 to 914,000). The share of malaria deaths among children younger than 5 years of age ranged from more than 80% at a rate of death of more than 25 per 10,000 to less than 40% at rates below 1 per 10,000. Areas with high malaria mortality (>10 per 10,000) and low coverage (<50%) of insecticide-treated bed nets and antimalarial drugs included much of Nigeria, Angola, and Cameroon and parts of the Central African Republic, Congo, Guinea, and Equatorial Guinea.

CONCLUSIONS:

We estimated that there was an overall decrease of 57% in the rate of death from malaria across sub-Saharan Africa over the past 15 years and identified several countries in which high rates of death were associated with low coverage of antimalarial treatment and prevention programs. (Funded by the Bill and Melinda Gates Foundation and others.).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plasmodium falciparum / Malaria Falciparum Tipo de estudio: Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Child, preschool / Humans / Infant / Newborn País/Región como asunto: Africa Idioma: En Revista: N Engl J Med Año: 2016 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plasmodium falciparum / Malaria Falciparum Tipo de estudio: Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Child, preschool / Humans / Infant / Newborn País/Región como asunto: Africa Idioma: En Revista: N Engl J Med Año: 2016 Tipo del documento: Article