Guidance on the Selection of Appropriate Indicators for Quantification of Antimicrobial Usage in Humans and Animals

An increasing variety of indicators of antimicrobial usage has become available in human and veterinary medicine, with no consensus on the most appropriate indicators to be used. The objective of this review is therefore to provide guidance on the selection of indicators, intended for those aiming to quantify antimicrobial usage based on sales, deliveries or reimbursement data. Depending on the study objective, different requirements apply to antimicrobial usage quantification in terms of resolution, comprehensiveness, stability over time, ability to assess exposure and comparability. If the aim is to monitor antimicrobial usage trends, it is crucial to use a robust quantification system that allows stability over time in terms of required data and provided output; to compare usage between different species or countries, comparability must be ensured between the different populations. If data are used for benchmarking, the system comprehensiveness is particularly crucial, while data collected to study the association between usage and resistance should express the exposure level and duration as a measurement of the exerted selection pressure. Antimicrobial usage is generally described as the number of technical units consumed normalized by the population at risk of being treated in a defined period. The technical units vary from number of packages to number of individuals treated daily by adding different levels of complexity such as daily dose or weight at treatment. These technical units are then related to a description of the population at risk, based either on biomass or number of individuals. Conventions and assumptions are needed for all of these calculation steps. However, there is a clear lack of standardization, resulting in poor transparency and comparability. By combining study requirements with available approaches to quantify antimicrobial usage, we provide suggestions on the most appropriate indicators and data sources to be used for a given study objective

The perfomance of South African pilots on cognitive ability assessment

In South Africa, the issue of lack of black pilot skills is a most talked about topic in commercial airlines. Airlines need to find the right set of skills and attitude to operate safely and successfully. Airline safety remains a topic of discussion, therefore airlines need ensure robustness of their selection processes. There are many requirements that a person has to meet before s/he can be offered a first officer job at an airline. The majority of the pilots in South Africa are white males. The study aimed to determine if there are statistically significant differences in cognitive ability test results between Black and White applicants for pilot positions with a South Africa airline. The test battery included a verbal reasoning test, numerical reasoning test, visual thinking, abstract reasoning test, spatial reasoning test, short term memory test, monitoring ability test, hand-eye coordination, sense of orientation test, reactivity test, and a multi-tasking test. The data were extracted with permission from a database maintained on behalf of the airline by an online test provider and subjected to a statistical analysis using measures of central tendency, and spread, in order to report on the significance of the differences between the groups. There is strong evidence that the White group performed better than the Black group on the majority of the tests. It is recommended that further research is done in order to determine the causes of these differences. A comparative study of results on other airlines’ recruitment selection tests and an exploratory study of the impact of socio-economic factors, education quality and language on cognitive ability tests are recommended

Statistics challenges and opportunities for the twenty first century

The field of statistics has made remarkable contribution to society over several decades its impact is felt across gradually all branches of science, medicine, industries and planning in the government department. The main objectives of this research is to identify forthcoming challenges and enormous opportunities for the professions. I have tried to concentrate not only to scientific research but also cover important related topics such as statistics educations infrastructure science, industry, Pharmaceuticals, Fashion Technology, Information technology, the international perspective and a long term objectives. A substantial proportion of the research is devoted to describing the unique role of statistics as a tool in gaining knowledge, with the goal of making the research more accessible to the statistical community. This was done largely because the role of statistical science is often poorly understood by the rest of the scientific community. Much of the intellectual excitement of the core of the subject comes from the development and use of sophisticated mathematical and computational tools. For this reason there is a potential confusion about how statistics relates to other field , and so a portion of this research dealt with separating the identity of the others