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Clarifying predictions for COVID-19 from testing data: The example of New York State

With the spread of COVID-19 across the world, a large amount of data on reported cases has become available. We are studying here a potential bias induced by the daily number of tests which may be insufficient or vary over time. Indeed, tests are hard to produce at the early stage of the epidemic an...

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Detalhes bibliográficos
Publicado no:Infect Dis Model
Main Authors: Griette, Quentin, Magal, Pierre
Formato: Artigo
Idioma:Inglês
Publicado em: KeAi Publishing 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7834578/
https://ncbi.nlm.nih.gov/pubmed/33521405
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.idm.2020.12.011
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