Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2.

Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2.
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SARS-CoV-2 近似线性感染模型的政策含义。

DOI:
10.1101/2020.06.04.20122549
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发表时间:
2020
期刊:
medRxiv : the preprint server for health sciences
影响因子:
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通讯作者:
Dumas,BobA
Dumas,BobA
中科院分区:
--
文献类型:
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作者:
McCarthy,JohnE;Dumas,BobA

文献摘要

相似文献

We propose a linear model of infection probability, and prove that this is a good approximation to a more refined model in which we assume infections come from a series of independent risks. We argue that the linearity assumption makes interpreting and using the model much easier, without significantly diminishing the reliability of the model.