5 research outputs found

    A Comparison of Women’s Travel to Mammography Services and Average Week Day Trip Length

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    Long travel distances/times to a mammography service may act as a barrier that hinders women from seeking screening mammography on a recommended schedule. Average weekday trip length data from the New South Wales Travel Survey was compared with the average distance women travelled to a mammography service, the difference was tested using the Wilcoxon Signed Rank Test. The distance travelled to mammography services was statistically greater than the average week day trip length from the New South Wales Travel Survey (4.3 km, 95% CI 3.3 to 5.9 kms, p,0.001). This study has identified that within New South Wales there is a significant difference between average week day trip length travel and client travel to mammography services. Therefore, highlighting that women are undertaking a greater than normal travel burden to access mammography services. The comparison of normal weekday travel and travel to mammography services has enabled the burden of travel to mammography services to be identified. Reducing the burden of travel to mammography services is pivotal to increasing the utilization of mammography services and reducing the inequalities in health comes

    Temporal and spatial analysis of the 2014-2015 Ebola virus outbreak in West Africa

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    West Africa is currently witnessing the most extensive Ebola virus (EBOV) outbreak so far recorded. Until now, there have been 27,013 reported cases and 11,134 deaths. The origin of the virus is thought to have been a zoonotic transmission from a bat to a two-year-old boy in December 2013 (ref. 2). From this index case the virus was spread by human-to-human contact throughout Guinea, Sierra Leone and Liberia. However, the origin of the particular virus in each country and time of transmission is not known and currently relies on epidemiological analysis, which may be unreliable owing to the difficulties of obtaining patient information. Here we trace the genetic evolution of EBOV in the current outbreak that has resulted in multiple lineages. Deep sequencing of 179 patient samples processed by the European Mobile Laboratory, the first diagnostics unit to be deployed to the epicentre of the outbreak in Guinea, reveals an epidemiological and evolutionary history of the epidemic from March 2014 to January 2015. Analysis of EBOV genome evolution has also benefited from a similar sequencing effort of patient samples from Sierra Leone. Our results confirm that the EBOV from Guinea moved into Sierra Leone, most likely in April or early May. The viruses of the Guinea/Sierra Leone lineage mixed around June/July 2014. Viral sequences covering August, September and October 2014 indicate that this lineage evolved independently within Guinea. These data can be used in conjunction with epidemiological information to test retrospectively the effectiveness of control measures, and provides an unprecedented window into the evolution of an ongoing viral haemorrhagic fever outbreak.status: publishe
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