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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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| Foilsithe in: | Infect Dis Model |
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| Main Authors: | , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
KeAi Publishing
2021
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| Ábhair: | |
| Rochtain Ar Líne: | 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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