Modeling immune response and its effect on infectious disease outbreak dynamics

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• 作者：Jorge Reyes-Silveyra ; Armin R. Mikler
• 关键词：Mathematical and computational modeling ; Immunology ; Epidemiology ; Socio ; demographics ; Heterogeneous populations
• 刊名：Theoretical Biology and Medical Modelling
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：13
• 期：1
• 全文大小：1,594 KB
• 刊物主题：Biomedicine general; Systems Biology; Physiological, Cellular and Medical Topics; Statistics for Life Sciences, Medicine, Health Sciences;
• 出版者：BioMed Central
• ISSN：1742-4682

文摘

Background In recent epidemiological models, immunity is incorporated as a simplified value that determines the capacity of an individual to become infected or to transmit the disease. Moreover, the quality of the immune response determines the chances of infection and the length of time an individual is capable to infect others. We present a model that incorporates individuals’ immune responses to, further, examine the role of the collective immune response of individuals in a population during an infectious outbreak.