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Rapid response modeling of SARS-CoV-2 transmission

机译:Rapid response modeling of SARS-CoV-2 transmission

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摘要

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, Pulliam et al. (1) 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.

著录项

  • 来源
    《Science》 |2022年第6593期|579-580|共2页
  • 作者

    Jon Zelner; Marisa Eisenberg;

  • 作者单位

    Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Ml, USA,Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor Ml, USA;

    Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Ml, USA,Department of Mathematics, University of Michigan, Ann Arbor, Ml, USA,Center for the Study of Complex Systems, University of Michigan, Ann Arbor, Ml, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
  • 关键词

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