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Impact of spatiotemporal heterogeneity in COVID-19 disease surveillance on epidemiological parameters and case growth rates.
Inward, Rhys P D; Jackson, Felix; Dasgupta, Abhishek; Lee, Graham; Battle, Anya Lindström; Parag, Kris V; Kraemer, Moritz U G.
Afiliação
  • Inward RPD; Department of Biology, University of Oxford, United Kingdom. Electronic address: rhys.inward@zoo.ox.ac.uk.
  • Jackson F; Department of Biology, University of Oxford, United Kingdom; Department of Computer Science, University of Oxford, United Kingdom.
  • Dasgupta A; Department of Biology, University of Oxford, United Kingdom; Department of Computer Science, University of Oxford, United Kingdom.
  • Lee G; Department of Biology, University of Oxford, United Kingdom; Department of Computer Science, University of Oxford, United Kingdom.
  • Battle AL; Department of Biology, University of Oxford, United Kingdom.
  • Parag KV; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom; NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, United Kingdom.
  • Kraemer MUG; Department of Biology, University of Oxford, United Kingdom; Reuben College, University of Oxford, United Kingdom. Electronic address: moritz.kraemer@zoo.ox.ac.uk.
Epidemics ; 41: 100627, 2022 12.
Article em En | MEDLINE | ID: mdl-36099708
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Screening_studies Limite: Humans País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Screening_studies Limite: Humans País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article