We present a multi-scale model of the within-phagocyte, within-host and population-level infection dynamics of , which extends the mechanistic one proposed by Wood et al. (2014). Our multi-scale model incorporates key aspects of the interaction between host phagocytes and extracellular bacteria, accounts for inter-phagocyte variability in the number of bacteria released upon phagocyte rupture, and allows one to compute the probability of response, and mean time until response, of an infected individual as a function of the initial infection dose. A Bayesian approach is applied to parameterize both the within-phagocyte and within-host models using infection data. Finally, we show how dose response probabilities at the individual level can be used to estimate the airborne propagation of in indoor settings (such as a microbiology laboratory) at the population level, by means of a deterministic zonal ventilation model.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043654 | PMC |
| http://dx.doi.org/10.3389/fmicb.2018.01165 | DOI Listing |
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