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Identifying residual hotspots and mapping lower respiratory infection morbidity and mortality in African children from 2000 to 2017.
Reiner, Robert C; Welgan, Catherine A; Casey, Daniel C; Troeger, Christopher E; Baumann, Mathew M; Nguyen, QuynhAnh P; Swartz, Scott J; Blacker, Brigette F; Deshpande, Aniruddha; Mosser, Jonathan F; Osgood-Zimmerman, Aaron E; Earl, Lucas; Marczak, Laurie B; Munro, Sandra B; Miller-Petrie, Molly K; Rodgers Kemp, Grant; Frostad, Joseph; Wiens, Kirsten E; Lindstedt, Paulina A; Pigott, David M; Dwyer-Lindgren, Laura; Ross, Jennifer M; Burstein, Roy; Graetz, Nicholas; Rao, Puja C; Khalil, Ibrahim A; Davis Weaver, Nicole; Ray, Sarah E; Davis, Ian; Farag, Tamer; Brady, Oliver J; Kraemer, Moritz U G; Smith, David L; Bhatt, Samir; Weiss, Daniel J; Gething, Peter W; Kassebaum, Nicholas J; Mokdad, Ali H; Murray, Christopher J L; Hay, Simon I.
Afiliação
  • Reiner RC; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. bcreiner@uw.edu.
  • Welgan CA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA. bcreiner@uw.edu.
  • Casey DC; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Troeger CE; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Baumann MM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Nguyen QP; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Swartz SJ; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Blacker BF; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Deshpande A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Mosser JF; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Osgood-Zimmerman AE; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Earl L; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Marczak LB; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Munro SB; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Miller-Petrie MK; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Rodgers Kemp G; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Frostad J; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Wiens KE; Michigan State University, East Lansing, MI, USA.
  • Lindstedt PA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Pigott DM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Dwyer-Lindgren L; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Ross JM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Burstein R; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Graetz N; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Rao PC; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Khalil IA; Department of Global Health, University of Washington, Seattle, WA, USA.
  • Davis Weaver N; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Ray SE; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Davis I; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Farag T; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Brady OJ; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Kraemer MUG; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Smith DL; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Bhatt S; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Weiss DJ; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Gething PW; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Kassebaum NJ; Department of Zoology, University of Oxford, Oxford, UK.
  • Mokdad AH; Harvard Medical School, University of Harvard, Boston, MA, USA.
  • Murray CJL; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Hay SI; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
Nat Microbiol ; 4(12): 2310-2318, 2019 12.
Article em En | MEDLINE | ID: mdl-31570869
ABSTRACT
Lower respiratory infections (LRIs) are the leading cause of death in children under the age of 5, despite the existence of vaccines against many of their aetiologies. Furthermore, more than half of these deaths occur in Africa. Geospatial models can provide highly detailed estimates of trends subnationally, at the level where implementation of health policies has the greatest impact. We used Bayesian geostatistical modelling to estimate LRI incidence, prevalence and mortality in children under 5 subnationally in Africa for 2000-2017, using surveys covering 1.46 million children and 9,215,000 cases of LRI. Our model reveals large within-country variation in both health burden and its change over time. While reductions in childhood morbidity and mortality due to LRI were estimated for almost every country, we expose a cluster of residual high risk across seven countries, which averages 5.5 LRI deaths per 1,000 children per year. The preventable nature of the vast majority of LRI deaths mandates focused health system efforts in specific locations with the highest burden.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Morbidade Tipo de estudo: Etiology_studies / Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child, preschool / Humans / Infant / Newborn País/Região como assunto: Africa Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Morbidade Tipo de estudo: Etiology_studies / Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child, preschool / Humans / Infant / Newborn País/Região como assunto: Africa Idioma: En Ano de publicação: 2019 Tipo de documento: Article