Sentence examples for multiple national data from inspiring English sources
Interrogation of multiple national data sources identified very few laboratory confirmations in addition to the MRU-confirmed cases.
Therefore, we conducted a retrospective analysis of multiple national data sources to examine trends in P. jirovecii infection.
The linkage of multiple national data sources has provided useful insight into the total burden of IMD in England.
The current study has demonstrated the additional value of linking multiple national data sources whilst highlighting the complexities of linking large datasets that were not designed for integration.
A recent addition is New Zealand Health Tracker, which combines data from multiple national data collections, along with primary health organisation (PHO) enrolments, to provide denominator populations that can be analysed according to chronic disease status.
Perhaps the most challenging issue related to inclusion of data from multiple national incidence registries was that of interpreting data with an appreciation of the different definitions of DKA used in each study (Table 2).
This is considered to be less time consuming and error-prone than retrieving data from multiple national websites which may apply different methodologies for data collection [ 18].
Such research should apply multiple methods: epidemiological analysis of national data, qualitative in-depth research into professional mechanisms, and perinatal audit methods such as the one currently being implemented [ 37, 40].
We use data from multiple national surveys to describe trends in private elementary school enrollment by family income from 1968-2013.
This study aimed to integrate epidemiological, clinical, microbiological and outcome data using multiple national datasets to assess the burden of IMD in England over a five-year period.
The majority of current literature relates to single center or regional experiences, whereas data from multiple national networks will provide robust estimates that will allow development of unified recommendations regarding optimal design and staffing of neonatal units.
