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We present an agent-based model of pathogen spread that can be used to evaluate the impact on nosocomial risk of alternative management decisions adopted to deal with transitory nurse shortage.
We constructed a spatially explicit model of pathogen spillover in bumble bees and, using laboratory experiments and the literature, estimated parameter values for the spillover of Crithidia bombi, a destructive pathogen commonly found in commercial Bombus.
We wished to determine if our model of pathogen spread, once parameterized with known information about the behaviour of bumble bees and their pathogens, could be used to predict patterns of disease near commercial greenhouses.
These findings can be used as a model of pathogen global diversity.
To better understand the origins of the variance of bacterial populations observed, a mechanistic mathematical model of pathogen population dynamics during infection was developed and challenged with the experimental data.
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The structures enable construction of homology models of pathogen RNAP antibiotic complexes, enable in silico screening for new antibacterial agents, and enable rational design of improved antibacterial agents.
This technology has been experimentally validated in animal models of pathogen challenge and tumor protection following administration of a DNA vaccine and has led to extensive research into the mechanisms of protective immunity.
This claim is based, in part, on observational studies 26586566and and theoretical modelling of pathogen transmission pathways.
Ancient DNA can be uniquely useful in constructing and assessing models of pathogen evolution [ 14- 16] and macroecological patterns of infection.
Therefore, in the literature, building new sustainable cropping systems relies on mathematical models of pathogen evolution [ 15, 23- 26].
The concept of the pathogen's immunological phenotype can help bridge the gap between the complexity of these interactions and theoretical models of pathogen evolution.
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