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Opportunities and challenges in modeling emerging infectious diseases

机译:新型传染病建模的机遇与挑战

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摘要

The term "pathogen emergence" encompasses everything from previously unidentified viruses entering the human population to established pathogens invading new populations and the evolution of drug resistance. Mathematical models of emergent pathogens allow forecasts of case numbers, investigation of transmission mechanisms, and evaluation of control options. Yet, there are numerous limitations and pitfalls to their use, often driven by data scarcity. Growing availability of data on pathogen genetics and human ecology, coupled with computational and methodological innovations, is amplifying the power of models to inform the public health response to emergence events. Tighter integration of infectious disease models with public health practice and development of resources at the ready has the potential to increase the timeliness and quality of responses.
机译:术语“病原体出现”包括从进入人群的先前未识别的病毒到侵入新人群的已确定病原体以及耐药性的演变。紧急病原体的数学模型可以预测病例数,调查传播机制并评估控制方案。但是,它们的使用存在许多局限性和陷阱,通常是由于数据不足而导致的。关于病原体遗传学和人类生态学的数据的不断增长,再加上计算和方法学的创新,正在放大模型的力量,以告知公众对突发事件的反应。传染病模型与公共卫生实践的紧密集成以及随时可用的资源开发有可能提高响应的及时性和质量。

著录项

  • 来源
    《Science》 |2017年第6347期|149-152|共4页
  • 作者单位

    Princeton Univ, Dept Ecol & Evolutionary Biol, Princeton, NJ 08544 USA|Princeton Univ, Off Populat Res, Princeton, NJ 08544 USA;

    Johns Hopkins Univ, Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD 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);
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  • 正文语种 eng
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