传染病信息学

J. Tong, S. Ranganathan
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摘要

摘要:纵观历史,传染病给人类带来了严重的负担。最近,耐药微生物出现了惊人的增长。此外,由于微生物的进化和适应,新的病原体正在出现。这些疾病的传播是病原体突变和人类行为模式改变的结果。然后,有些疾病潜伏在后台,等待合适的条件再来袭。在与这些疾病的斗争中,我们开始了解微生物在异质世界中的行为和控制疾病传播的机制。这些工作深刻地塑造了新发和再发感染的现代知识。最近,计算技术通过允许对病原体进行快速高通量分析而引领了这个新时代,这在以前使用传统实验室技术是不可能的。本章介绍了数学建模、计算生物学和生物信息学中用于研究传染病的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Infectious disease informatics
Abstract: Throughout history, infectious diseases have posed a serious burden to mankind. More recently, there has been an alarming increase in drug-resistant microbes. Furthermore, new pathogens are emerging due to microbial evolution and adaptation. The spread of these diseases is a result of pathogen mutations and changes in human behavior patterns. Then, there are diseases that are lurking in the background, waiting for the right conditions before they strike again. In the war against these diseases, we have come to understand the behaviors of microbes in a heterogeneous world and the mechanisms governing disease transmission. These works have profoundly shaped modern knowledge of emerging and re-emerging infections. More recently, computational techniques have led the way into this new era by allowing rapid high-throughput analysis of pathogens which was previously not possible using traditional laboratory techniques. This chapter introduces methods in mathematical modeling, computational biology, and bioinformatics that have been used to study infectious diseases.
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