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Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach.
Routledge, Isobel; Lai, Shengjie; Battle, Katherine E; Ghani, Azra C; Gomez-Rodriguez, Manuel; Gustafson, Kyle B; Mishra, Swapnil; Unwin, Juliette; Proctor, Joshua L; Tatem, Andrew J; Li, Zhongjie; Bhatt, Samir.
Afiliação
  • Routledge I; Imperial College London, London, United Kingom.
  • Lai S; University of Southampton, Southampton, United Kingdom.
  • Battle KE; University of Oxford, Oxford, United Kingdom.
  • Ghani AC; Imperial College London, London, United Kingom.
  • Gomez-Rodriguez M; Max Planck Institute for Software Systems, Saarbrücken, Germany.
  • Gustafson KB; Institute for Disease Modelling, Bellevue, Washington, United States of America.
  • Mishra S; Imperial College London, London, United Kingom.
  • Unwin J; Imperial College London, London, United Kingom.
  • Proctor JL; Institute for Disease Modelling, Bellevue, Washington, United States of America.
  • Tatem AJ; University of Southampton, Southampton, United Kingdom.
  • Li Z; Chinese Centers for Disease Control and Prevention, Beijing, China.
  • Bhatt S; Imperial College London, London, United Kingom.
PLoS Comput Biol ; 16(3): e1007707, 2020 03.
Article em En | MEDLINE | ID: mdl-32203520
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Epidemiológico / Malária Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Epidemiológico / Malária Idioma: En Ano de publicação: 2020 Tipo de documento: Article