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Quantifying epidemiological drivers of gambiense human African Trypanosomiasis across the Democratic Republic of Congo.
Crump, Ronald E; Huang, Ching-I; Knock, Edward S; Spencer, Simon E F; Brown, Paul E; Mwamba Miaka, Erick; Shampa, Chansy; Keeling, Matt J; Rock, Kat S.
Afiliación
  • Crump RE; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Huang CI; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Knock ES; The School of Life Sciences, The University of Warwick, Coventry, United Kingdom.
  • Spencer SEF; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Brown PE; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Mwamba Miaka E; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Shampa C; The Department of Statistics, The University of Warwick, Coventry, United Kingdom.
  • Keeling MJ; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Rock KS; The Department of Statistics, The University of Warwick, Coventry, United Kingdom.
PLoS Comput Biol ; 17(1): e1008532, 2021 01.
Article en En | MEDLINE | ID: mdl-33513134
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trypanosoma brucei gambiense / Tripanosomiasis Africana / Modelos Estadísticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trypanosoma brucei gambiense / Tripanosomiasis Africana / Modelos Estadísticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido