PubMed · 10261888
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S B Scheer. 1983. The MHA Interactive Data System: an overview.. https://pubmed.ncbi.nlm.nih.gov/10261888/
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The powerful tools of molecular genetics are being utilised in most areas of influenza research and control activities, including surveillance and strain characterisation of these fast-evolving viruses. In this paper, examples are given of the use of molecular methods in influenza surveillance in Norway, and the need for facilitated rapid exchange of up-to-date genetic data within or outside the existing surveillance networks is discussed. Typically, researchers at the individual national surveillance networks, apart from the data obtained from their own virus strains or through bilateral exchange with colleagues, have access mostly to somewhat outdated published sequences. Enhanced availability of current molecular data within regional and national surveillance systems would result in a much better understanding of the epidemiology while the outbreaks are unfolding, something that would benefit surveillance at all levels.
The purpose of this overview is to examine and illustrate the feasible options for the statistical analysis of nursing minimum data sets (NMDSs). After explaining the need for these data collections, examples from different countries are discussed and examples of the methods used for statistical analysis are summarized. Distinct purposes for information uses and for the presentation of information requires different approaches for data collection and statistical analysis. The feasible options for the nursing minimum data set for the Netherlands (NMDSN) have been described to illustrate the different methods available. Six studies are discussed, illustrating their goals, data collection methods, data analysis, and results. These studies include visualizing nursing care by means of frequencies of nursing diagnoses and interventions, RIDIT (relative to an identified distribution) analysis, fingerprints, and graphs from multidimensional scaling techniques. In addition, using data sets for workload measurement and testing of instruments is presented. The overview ends with general recommendations for data collection and analysis of NMDSs.
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