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Realistic assumptions about spatial locations and clustering of premises matter for models of foot-and-mouth disease spread in the United States.
Sellman, Stefan; Tildesley, Michael J; Burdett, Christopher L; Miller, Ryan S; Hallman, Clayton; Webb, Colleen T; Wennergren, Uno; Portacci, Katie; Lindström, Tom.
Afiliación
  • Sellman S; Department of Physics, Chemistry and Biology, Division of Theoretical Biology, Linköping University, Linköping, Sweden.
  • Tildesley MJ; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Burdett CL; Department of Biology, Colorado State University, Fort Collins, Colorado, United States of America.
  • Miller RS; Center for Epidemiology and Animal Health, United States Department of Agriculture, Fort Collins, Colorado, United States of America.
  • Hallman C; Center for Epidemiology and Animal Health, United States Department of Agriculture, Fort Collins, Colorado, United States of America.
  • Webb CT; Department of Biology, Colorado State University, Fort Collins, Colorado, United States of America.
  • Wennergren U; Department of Physics, Chemistry and Biology, Division of Theoretical Biology, Linköping University, Linköping, Sweden.
  • Portacci K; Center for Epidemiology and Animal Health, United States Department of Agriculture, Fort Collins, Colorado, United States of America.
  • Lindström T; Department of Physics, Chemistry and Biology, Division of Theoretical Biology, Linköping University, Linköping, Sweden.
PLoS Comput Biol ; 16(2): e1007641, 2020 02.
Article en En | MEDLINE | ID: mdl-32078622
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Agricultura / Ganado / Fiebre Aftosa Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Suecia
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Agricultura / Ganado / Fiebre Aftosa Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Suecia