Reconstructing and forecasting the COVID-19 epidemic in the United States using a 5-parameter logistic growth model
Abstract Background Many studies have modeled and predicted the spread of COVID-19 (coronavirus disease 2019) in the U.S. using data that begins with the first reported cases. However, the shortage of testing services to detect infected persons makes this approach subject to error due to its underde...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-05-01
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| Series: | Global Health Research and Policy |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s41256-020-00152-5 |