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Objective:The aim of this study was to evaluate the effectiveness and identify factors predictive of home discharge in a cohort of patients admitted to the residential Transitional Aged Care Program (r-TACP) after a stay in an acute hospital. Methods:A retrospective observational cohort study of patients admitted to a single r-TACP unit between 1 January 2014 and 31 December 2017 was carried out. Baseline patient characteristics and discharge outcomes were analyzed. Results:Three hundred sixty-nine patients were admitted during the study period. The discharge outcomes were as follows: 68% returned home, 17% went onto residential care, 14% were readmitted to hospital, and 1% died. Factors associated with not returning home were increased age, increased comorbidities, and lower Barthel Index on admission to the r-TACP. Conclusion:Our r-TACP is an effective program that successfully returns the majority (67.8%) of older patients home after an acute hospital admission. Older patients with greater comorbidities and poorer baseline functional status in our program were less likely to return home.

Lumpy skin disease, sheeppox and goatpox are high-impact diseases of domestic ruminants with a devastating effect on cattle, sheep and goat farming industries in endemic regions. In this article, we review the current geographical distribution, economic impact of an outbreak, epidemiology, transmission and immunity of capripoxvirus. The special focus of the article is to scrutinize the use of currently available vaccines to investigate the resource needs and challenges that will have to be overcome to improve disease control and eradication, and progress on the development of safer and more effective vaccines. In addition, field evaluation of the efficacy of the vaccines and the genomic database available for poxviruses are discussed.

As tools and technologies for the analysis of biological organisms (including viruses) have improved, the amount of raw data generated by these technologies has increased exponentially. Today's challenge, therefore, is to provide computational systems that support data storage, retrieval, display, and analysis in a manner that allows the average researcher to mine this information for knowledge pertinent to his or her work. Every article in this encyclopedia contains knowledge that has been derived in part from the analysis of such large data sets, which in turn are directly dependent on the databases that are used to organize this information. Fortunately, continual improvements in data-intensive biological technologies have been matched by the development of computational technologies, including those related to databases. This work forms the basis of many of the technologies that encompass the field of bioinformatics. This article provides an overview of database structure and how that structure supports the storage of biological information. The different types of data associated with the analysis of viruses are discussed, followed by a review of some of the various online databases that store general biological, as well as virus-specific, information.