Rapid response modeling of SARS-CoV-2 transmission.
Rapid response modeling of SARS-CoV-2 transmission.
复制标题
SARS-CoV-2 传播的快速响应模型。
DOI：
10.1126/science.abp9498
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Eisenberg,Marisa
中科院分区：
文献类型：
--
作者：
Zelner,Jon;Eisenberg,Marisa
新冠肺炎大流行巩固了机械化传染病模型在传染病突发事件中作为科学、公众和政策话语推动者的作用。在本期第596页上，Pulliamet等人通过使用一个机械模型来证明南非以前感染过最初的野生型毒株或Alpha、Beta或Delta变种的人中再次感染严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)Omicron变种的高比率，从而补充了这些贡献。这项工作提供了另一个例子，说明快速反应建模如何以前所未有的速度促进了关键假设和假设的测试，并对公共卫生产生了近乎直接的影响。
The COVID-19 pandemic has cemented the role of mechanistic infectious disease models as drivers of the scientific, public, and policy discourse during infectious disease emergencies. On page 596 of this issue, Pulliamet al.add to these contributions through their use of a mechanistic model to document the high rate of reinfection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant in South Africa among people previously infected by the initial wild-type strain or the Alpha, Beta, or Delta variants. This work provides another example of how rapid-response modeling has facilitated the testing of key hypotheses and assumptions with unprecedented speed and near-immediate public health impact.