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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Detalles Bibliográficos
Autores principales: Griette, Quentin, Magal, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2021
Materias:
Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834578/
https://www.ncbi.nlm.nih.gov/pubmed/33521405
http://dx.doi.org/10.1016/j.idm.2020.12.011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834578/
https://www.ncbi.nlm.nih.gov/pubmed/33521405
http://dx.doi.org/10.1016/j.idm.2020.12.011

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