Simulation-free estimation of an individual-based SEIR model for evaluating nonpharmaceutical interventions with an application to COVID-19 in the District of Columbia.
The ongoing COVID-19 pandemic has overwhelmingly demonstrated the need to accurately evaluate the effects of implementing new or altering existing nonpharmaceutical interventions. Since these interventions applied at the societal level cannot be evaluated through traditional experimental means, publ...
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| Principais autores: | , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science (PLoS)
2020-01-01
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| 叢編: | PLoS ONE |
| 在線閱讀: | https://doi.org/10.1371/journal.pone.0241949 |
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