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Mapping residual transmission for malaria elimination.
Reiner, Robert C; Le Menach, Arnaud; Kunene, Simon; Ntshalintshali, Nyasatu; Hsiang, Michelle S; Perkins, T Alex; Greenhouse, Bryan; Tatem, Andrew J; Cohen, Justin M; Smith, David L.
Afiliación
  • Reiner RC; Fogarty International Center, National Institutes of Health, Bethesda, United States.
  • Le Menach A; Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, United States.
  • Kunene S; Clinton Health Access Initiative, Boston, United States.
  • Ntshalintshali N; National Malaria Control Program, Manzini, Swaziland.
  • Hsiang MS; Clinton Health Access Initiative, Boston, United States.
  • Perkins TA; Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, United States.
  • Greenhouse B; Malaria Elimination Initiative, Global Health Group, University of California, San Francisco, San Francisco, United States.
  • Tatem AJ; Department of Pediatrics, University of California, San Francisco Benioff Children's Hospital, , United States.
  • Cohen JM; Fogarty International Center, National Institutes of Health, Bethesda, United States.
  • Smith DL; Eck Institute for Global Health, University of Notre Dame, Notre Dame, United States.
Elife ; 42015 Dec 29.
Article en En | MEDLINE | ID: mdl-26714110
ABSTRACT
Eliminating malaria from a defined region involves draining the endemic parasite reservoir and minimizing local malaria transmission around imported malaria infections . In the last phases of malaria elimination, as universal interventions reap diminishing marginal returns, national resources must become increasingly devoted to identifying where residual transmission is occurring. The needs for accurate measures of progress and practical advice about how to allocate scarce resources require new analytical methods to quantify fine-grained heterogeneity in malaria risk. Using routine national surveillance data from Swaziland (a sub-Saharan country on the verge of elimination), we estimated individual reproductive numbers. Fine-grained maps of reproductive numbers and local malaria importation rates were combined to show 'malariogenic potential', a first for malaria elimination. As countries approach elimination, these individual-based measures of transmission risk provide meaningful metrics for planning programmatic responses and prioritizing areas where interventions will contribute most to malaria elimination.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 2_ODS3 / 3_ND / 4_TD Problema de salud: 1_doencas_transmissiveis / 2_cobertura_universal / 2_enfermedades_transmissibles / 3_malaria / 3_neglected_diseases / 4_malaria Asunto principal: Transmisión de Enfermedad Infecciosa / Topografía Médica / Erradicación de la Enfermedad / Malaria Tipo de estudio: Prognostic_studies / Screening_studies País/Región como asunto: Africa Idioma: En Revista: Elife Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 2_ODS3 / 3_ND / 4_TD Problema de salud: 1_doencas_transmissiveis / 2_cobertura_universal / 2_enfermedades_transmissibles / 3_malaria / 3_neglected_diseases / 4_malaria Asunto principal: Transmisión de Enfermedad Infecciosa / Topografía Médica / Erradicación de la Enfermedad / Malaria Tipo de estudio: Prognostic_studies / Screening_studies País/Región como asunto: Africa Idioma: En Revista: Elife Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos
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