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Strong spatial embedding of social networks generates nonstandard epidemic dynamics independent of degree distribution and clustering.
Haw, David J; Pung, Rachael; Read, Jonathan M; Riley, Steven.
Afiliação
  • Haw DJ; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W2 1PG, United Kingdom.
  • Pung R; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W2 1PG, United Kingdom.
  • Read JM; Centre for Health Informatics Computing and Statistics, Lancaster Medical School, Lancaster University, Lancaster LA1 4YW, United Kingdom.
  • Riley S; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W2 1PG, United Kingdom; s.riley@imperial.ac.uk.
Proc Natl Acad Sci U S A ; 117(38): 23636-23642, 2020 09 22.
Article em En | MEDLINE | ID: mdl-32900923

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / Rede Social / Modelos Biológicos Tipo de estudo: Incidence_studies / Prognostic_studies / Qualitative_research Aspecto: Determinantes_sociais_saude Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / Rede Social / Modelos Biológicos Tipo de estudo: Incidence_studies / Prognostic_studies / Qualitative_research Aspecto: Determinantes_sociais_saude Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Estados Unidos