INTRODUCTION: Much of regional Australia continues to face challenges in recruitment and retention of medical practitioners, despite the apparently successful rural medical education initiatives funded by the Commonwealth Government. International fee-paying (IFP) medical students are a significant component of Australian medical education, contributing additional income and more diverse learning environments for universities. Their contribution to the Australian medical workforce is harder to determine. After obtaining registration, IFP graduates may apply to remain in Australia as skilled migrants. Since 1999 there has been a 325% increase in the number of international medical students in Australia, with approximately 73% of IFP graduates remaining in Australia for at least some postgraduate training. Recognising the potential contribution of IFP students to the Tasmanian medical workforce, the authors sought better understanding of the career intentions and work locations of IFP graduates from the medical program in Tasmania, Australia, through two studies. Firstly, a quantitative study was conducted of the locations of all IFP graduates from the Tasmanian medical program, and then a qualitative study exploring graduating students' intentions and factors that contribute to their decisions about work location choices.
METHODS: This was a cohort study of IFP students who graduated from the University of Tasmania School of Medicine over the period 2000-2015. Work locations for 2016 were mapped to a Modified Monash rurality classification. Semi-structured interviews were held with 15 final year IFP medical students, exploring career intentions and location preferences.
RESULTS: There were 261 IFP graduates, 54.4% male. The most common country of origin was Malaysia (55.2%). In 2016, 189 (72.4 %) were working in Australia, 42 (16.1%) in Tasmania and 126 (66.7%) in areas categorised as Modified Monash 1. Recent graduates in postgraduate year 1/2 (71.3%) were more likely to be working in Tasmania but most left for specialty training. All 15 interview participants intended to remain in Australia for at least their intern year, although at enrolment only six had planned to remain. Factors influencing workplace location decisions were (1) 'professional': greater appeal of Australian medical workplaces, intention to pursue a speciality, and to complete this at an Australian metropolitan hospital; (2) 'social': proximity to family/partner or opportunity to meet a prospective partner, family obligations, positive rural experiences; and (3) 'location': direct travel access to family.
CONCLUSIONS: IFP graduates from the Tasmanian medical program make an important contribution to the Australian mainland metropolitan medical workforce, but play only a small role in workforce development for both Tasmania and the broader Australian rural and remote context. Most IFPs do not choose to work rurally. Rurally focused medical programs need to consider how they place IFP students to meet both the learning and career needs of IFP students and the goal of the rural medical programs in developing a rural workforce.
The impact of a range of different threats has resulted in the listing of six out of seven sea turtle species on the IUCN Red List of endangered species. Disease risk analysis (DRA) tools are designed to provide objective, repeatable and documented assessment of the disease risks for a population and measures to reduce these risks through management options. To the best of our knowledge, DRAs have not previously been published for sea turtles, although disease is reported to contribute to sea turtle population decline. Here, a comprehensive list of health hazards is provided for all seven species of sea turtles. The possible risk these hazards pose to the health of sea turtles were assessed and "One Health" aspects of interacting with sea turtles were also investigated. The risk assessment was undertaken in collaboration with more than 30 experts in the field including veterinarians, microbiologists, social scientists, epidemiologists and stakeholders, in the form of two international workshops and one local workshop. The general finding of the DRA was the distinct lack of knowledge regarding a link between the presence of pathogens and diseases manifestation in sea turtles. A higher rate of disease in immunocompromised individuals was repeatedly reported and a possible link between immunosuppression and environmental contaminants as a result of anthropogenic influences was suggested. Society based conservation initiatives and as a result the cultural and social aspect of interacting with sea turtles appeared to need more attention and research. A risk management workshop was carried out to acquire the insights of local policy makers about management options for the risks relevant to Queensland and the options were evaluated considering their feasibility and effectiveness. The sea turtle DRA presented here, is a structured guide for future risk assessments to be used in specific scenarios such as translocation and head-starting programs.
Human populations have been shaped by catastrophes that may have left long-lasting signatures in their genomes. One notable example is the second plague pandemic that entered Europe in ca. 1,347 CE and repeatedly returned for over 300 years, with typical village and town mortality estimated at 10%-40%.1 It is assumed that this high mortality affected the gene pools of these populations. First, local population crashes reduced genetic diversity. Second, a change in frequency is expected for sequence variants that may have affected survival or susceptibility to the etiologic agent (Yersinia pestis).2 Third, mass mortality might alter the local gene pools through its impact on subsequent migration patterns. We explored these factors using the Norwegian city of Trondheim as a model, by sequencing 54 genomes spanning three time periods: (1) prior to the plague striking Trondheim in 1,349 CE, (2) the 17th-19th century, and (3) the present. We find that the pandemic period shaped the gene pool by reducing long distance immigration, in particular from the British Isles, and inducing a bottleneck that reduced genetic diversity. Although we also observe an excess of large FST values at multiple loci in the genome, these are shaped by reference biases introduced by mapping our relatively low genome coverage degraded DNA to the reference genome. This implies that attempts to detect selection using ancient DNA (aDNA) datasets that vary by read length and depth of sequencing coverage may be particularly challenging until methods have been developed to account for the impact of differential reference bias on test statistics.