Sentence examples for carriage data from inspiring English sources
With IPD being increasingly attributed to non-vaccine serotypes, surveillance of carriage data continues to act as an early warning system for vaccine design and public health policy that require continual data of both carried pneumococcal serotypes and IPD attributed serotype data.
Of the nine MRSA isolates present in the carriage data, 6 corresponded to ST59.
For example, ST121 exhibits a PVL frequency slightly higher than the average for the carriage data (26%), yet this genotype is significantly under-represented in cases of disease.
In addition to examining differences in disease potential, this study also reveals striking biogeographical trends within the carriage data at a local and global level.
In order to address these biases, we also compared the carriage data from the current study with comparable studies on carriage in Europe (Oxford, UK [21] and Lausanne, Switzerland [33]), and Africa (Bamako, Mali [26]).
Of the five kindergartens sampled, two showed predominance of a single clone which is not reflected in carriage data as a whole (ST944 in kindergarten C, and ST 59 in kindergarten E).
However, for model calibration, broader age categories of 0 4, 5 9, 10 14, 15 19, and 20+ years of age were used, because 5-year age intervals are used in most available Nm carriage prevalence data as well as in the available contact data [ 40].
And because of common carriage, digital data running over the phone lines has essentially been off limits to the people who laid the lines.
At fnbB, USA300 was again observed to exhibit 100% sequence identity with nasal carriage strains (data not shown), further supporting the relatedness of nasal carriage strains from the cohort analyzed in this study and clinical isolates of worldwide origin.
For example, active surveillance cultures performed at one of the 3 hospitals during January March 2009 detected 7 additional ST398 and 3 additional ST291 isolates among 260 MSSA carriage strains (data not shown).
The pre-vaccination model was programmed in Excel to estimate forces of infection for VT and NVT and for the following age groups: 0-1, 2-4, 5-9, 20-39, 40-99 and 40-99 using the carriage prevalence data available for England and Wales and a given value for the competition parameter (cN).
