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In contrast, the use of omics methods in infectious disease research has been extensive and valuable in contributing to understanding events from exposure source to disease.
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Specifically, mathematical models may overcome problems connected with the use of statistical methods in environmental infectious disease epidemiology via their ability to address multiplicative-exposure effects, nonlinear feedback pathways, spatiotemporal heterogeneities, and complex transmission dynamics.
Palomino et al. [11] discussed the viability of drug repurposing methods in treatment of infectious diseases like Tuberculosis.
Traditional pathogen detection methods in public health infectious disease surveillance rely upon the identification of agents that are already known to be associated with a particular clinical syndrome.
Using similar methods, we showed an increase in infectious shock in Colorado from 1993 through 2006 and estimated that the diagnosis of TSS accounted for as much as 27% of all cases of infectious shock.
Examples are the clustering of gene expression profiles in microarray analysis [1], the grouping of bacterial isolates based on typing methods in the epidemiology of infectious diseases [2], [3] and the tissue distribution pattern of proteins in proteomic analysis [4].
Methods: In 2007 and 2009/2010, national infectious disease experts from 30 European Economic Area countries were surveyed about recent and projected infectious disease patterns in relation to climate change in their countries and the national capacity to cope with them.
SPREAD integrates methods in dementia, palliative care and infectious diseases research.
Within paediatric studies in infectious diseases and immunology these methods are often applied to developing guidance on appropriate dosing.
Our survey method may require further development; nevertheless, the method provides an effective tool for grasping overall trends in infectious disease research around the world.
Despite the availability of sensitive diagnostic methods, detecting infectious agents is difficult in a substantial proportion of respiratory samples from children with respiratory tract disease (1 ).
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