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Modelling African horse sickness emergence and transmission in the South African control area using a deterministic metapopulation approach.
de Klerk, Joanna N; Gorsich, Erin E; Grewar, John D; Atkins, Benjamin D; Tennant, Warren S D; Labuschagne, Karien; Tildesley, Michael J.
Afiliación
  • de Klerk JN; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Gorsich EE; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Grewar JD; South African Equine Health and Protocols NPC, Baker Square, Paardevlei, Cape Town, South Africa.
  • Atkins BD; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Tennant WSD; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Labuschagne K; Epidemiology, Parasites and Vectors, Agricultural Research Council, Onderstepoort Veterinary Research, Onderstepoort, South Africa.
  • Tildesley MJ; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
PLoS Comput Biol ; 19(9): e1011448, 2023 09.
Article en En | MEDLINE | ID: mdl-37672554
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad Equina Africana Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: Africa Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad Equina Africana Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: Africa Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido