Importance of nested models in modeling infectious diseases.

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dc.contributor.author Mbabazi, Fulgensia Kamugisha
dc.contributor.author Kimathi, Mark
dc.date.accessioned 2022-11-08T05:43:55Z
dc.date.available 2022-11-08T05:43:55Z
dc.date.issued 2017-07
dc.identifier.citation Mbabazi, F., & Kimathi, M. (2017). Importance of nested models in modeling infectious diseases. en_US
dc.identifier.uri https://doi.org/10.60682/vgyg-ar05
dc.description Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June 2017, Strathmore University, Nairobi, Kenya. en_US
dc.description.abstract Mathematical models are believed to achieve good results in the prediction of disease prevalence. 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 pneumonia. Analysis on this model, with a focus of streptococcus fitness /threshold dynamics, is done. Mathematics Subject Classification (2010). en_US
dc.description.sponsorship Pan African University Institute, Strathmore University en_US
dc.language.iso en en_US
dc.publisher Strathmore University en_US
dc.subject Nested models en_US
dc.subject Infectious diseases en_US
dc.subject Mathematical models en_US
dc.subject Disease prevalence en_US
dc.title Importance of nested models in modeling infectious diseases. en_US
dc.type Other en_US


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