تقرير
COVID 19: Open source model for rapid reduction of R to below 1 in high R0 scenarios
العنوان: | COVID 19: Open source model for rapid reduction of R to below 1 in high R0 scenarios |
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المؤلفون: | Baker, Mark R, Hawthorne, Elizabeth L, Rogge, Jessica R |
سنة النشر: | 2021 |
المجموعة: | Quantitative Biology |
مصطلحات موضوعية: | Quantitative Biology - Other Quantitative Biology |
الوصف: | We present an open source model that allows quantitative prediction of the effects of testing on the rate of spread of COVID-19 described by R, the reproduction number, and on the degree of quarantine, isolation and lockdown required to limit it. The paper uses the model to quantify the outcomes of different test types and regimes, and to identify strategies and tests that can reduce the rate of spread and R value by a factor of between 1.67 and 33.3, reducing it to between 60% and 3% of the initial value. Comment: 10 pages, 6 figures, in English |
نوع الوثيقة: | Working Paper |
اللغة: | English |
URL الوصول: | http://arxiv.org/abs/2112.13044 |
رقم الأكسشن: | edsarx.2112.13044 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |