A mathematical immuno-epidemiological framework for co-infection

共同感染的数学免疫流行病学框架

• 批准号: 342116-2013
• 负责人: Heffernan, Jane
• 金额: $ 1.38万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595564
• 关键词: mathematical; immuno; epidemiological; framework; co

With the advent of the germ theory of disease, understanding the mechanisms of pathogen propagation and survival has formed a major branch of the natural sciences. Mathematical immunology (in a host) and epidemiology (in a population) have contributed to the study of infectious diseases. Recently, the field of immuno-epidemiology, whereby immunological characteristics are incorporated into epidemiological models, has been developed so that a better understanding of effects of pathogen and immune system interactions on disease transmission and persistence in a population can be gained.

随着疾病的细菌理论的出现，了解病原体繁殖和存活的机制已经形成了自然科学的一个主要分支。数学免疫学（在宿主中）和流行病学（在人群中）对传染病的研究做出了贡献。最近，免疫流行病学领域，其中免疫学特征被纳入流行病学模型，已被开发，以便更好地了解病原体和免疫系统的相互作用对疾病的传播和持久性在人群中的影响，可以获得。