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• W2039339463 abstract "Technologies for strain differentiation and typing have made it possible to detect genetic diversity of pathogens, both within individual hosts and within communities. Coinfection of a host by more than one pathogen strain may affect the relative frequency of these strains at the population level through complex within- and between-host interactions; in infectious diseases that have a long latent period, interstrain competition during latency is likely to play an important role in disease dynamics. We show that SEIR models that include a class of latently coinfected individuals can have markedly different long-term dynamics than models without coinfection, and that coinfection can greatly facilitate the stable coexistence of strains. We demonstrate these dynamics using a model relevant to tuberculosis in which people may experience latent coinfection with both drug sensitive and drug resistant strains. Using this model, we show that the existence of a latent coinfected state allows the possibility that disease control interventions that target latency may facilitate the emergence of drug resistance." @default.
• W2039339463 created "2016-06-24" @default.
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• W2039339463 date "2008-12-10" @default.
• W2039339463 modified "2023-10-15" @default.
• W2039339463 title "Latent Coinfection and the Maintenance of Strain Diversity" @default.
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• W2039339463 doi "https://doi.org/10.1007/s11538-008-9361-y" @default.
• W2039339463 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2652765" @default.
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