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Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC).
Castaño, María Soledad; Ndeffo-Mbah, Martial L; Rock, Kat S; Palmer, Cody; Knock, Edward; Mwamba Miaka, Erick; Ndung'u, Joseph M; Torr, Steve; Verlé, Paul; Spencer, Simon E F; Galvani, Alison; Bever, Caitlin; Keeling, Matt J; Chitnis, Nakul.
Afiliación
  • Castaño MS; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Ndeffo-Mbah ML; University of Basel, Basel, Switzerland.
  • Rock KS; School of Public Health, Yale University, New Haven, Connecticut, United States of America.
  • Palmer C; College of Veterinary Medicine and Biosciences, Texas A&M University, College Station, Texas, United States of America.
  • Knock E; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Mwamba Miaka E; Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Ndung'u JM; Institute of Disease Modeling, Seattle, Washington, United States of America.
  • Torr S; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Verlé P; Department of Statistics, University of Warwick, Coventry, United Kingdom.
  • Spencer SEF; Programme National de Lutte contre la Trypanosomiase Humaine Africaine, Kinshasa, the Democratic Republic of the Congo.
  • Galvani A; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Bever C; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
  • Keeling MJ; Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
  • Chitnis N; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
PLoS Negl Trop Dis ; 14(1): e0007976, 2020 01.
Article en En | MEDLINE | ID: mdl-31961872
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tripanosomiasis Africana Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: PLoS Negl Trop Dis Asunto de la revista: MEDICINA TROPICAL Año: 2020 Tipo del documento: Article País de afiliación: Suiza
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tripanosomiasis Africana Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: PLoS Negl Trop Dis Asunto de la revista: MEDICINA TROPICAL Año: 2020 Tipo del documento: Article País de afiliación: Suiza