Importance of nested models in modeling infectious diseases
Date
2017
Authors
Mbabazi, Fulgensia
Kimathi, Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Strathmore University
Abstract
Mathematical models are believed to achieve good results in prediction of disease prevalence’s. The progression of an infection within a host determines the capacity of a pathogen to spread to new hosts and to sustain itself in the population. Whereas a wide link between the infection dynamics within–host and between hosts, transmission dynamics of pathogens is broadly recognized, an inclusive and quantitative understanding that would allow complete integration of the two scales is yet to be realized. This paper aims at explaining the importance of nested models and giving an example of the within–host and between–dynamics of bacterial pneumonia (pneumococcal). To that end, deterministic differential and integro–differential equations are used to investigate the interaction between the target cell and streptococcus pneumoniae. Analysis on this model, with a focus of streptococcus fitness /threshold dynamics is done. Mathematics Subject Classification (2010).
Description
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June 2017, Strathmore University, Nairobi, Kenya.
Keywords
Mathematical models, Infectious diseases, Nested model