There is a distinct separation of experiences between systems with emerging surveillance systems and those with established systems. ConclusionsĮxperiences of AMR surveillance systems are diverse across contexts. The most frequent success to surveillance system implementation was stakeholder engagement (n = 30, 65.2%). Data infrastructure was most frequently discussed as problematic in evaluation of surveillance systems (n = 36, 75.0%). From the scoping review, 6 themes emerged: capacity for surveillance, data infrastructure, policy, representativeness, stakeholder engagement, and sustainability. All included articles (n = 46, 100.0%) discussed barriers to either implementing or utilising AMR surveillance systems. Regionally, there was equal focus on low- and middle-income countries (n = 7, 15.2%) and trans-national contexts (n = 7, 14.5%). ![]() ![]() Generally, most studies focused on human AMR surveillance (n = 38, 82.6%). Following deduplication and screening, 46 articles were determined to be appropriate for inclusion. The systematic search yielded 639 journal articles for screening. A thematic analysis was conducted where themes within the literature were inductively grouped based on the described content. PubMed, Web of Science, SCOPUS, and EMBASE databases were searched systematically to identify literature pertaining to implementation, monitoring, and evaluation of AMR surveillance systems. The primary aim of the scoping review is to identify successes, barriers, and gaps in implementing AMR surveillance systems and utilising data from them. Surveillance is a fundamental component in the monitoring and evaluation of AMR mitigation endeavours. The title features domain analysis for object identification dynamic analysis and design implementation method creation and the framework of view alignment techniques and, a case study.Antimicrobial resistance (AMR) is an emerging global public health crisis. The key areas in object-oriented technology covered in the book include: requirements modeling using use cases. Each of these three chapters includes a mini-case study which illustrates the unique 'from diagram to code' concept in software development.In the final chapter, a major case study is included to help the reader reinforce the theories learned in previous chapters using VP-UML. Three chapters in this book describe structural, use case and dynamic modeling and analysis techniques, together with practical tricks and tips that have been gained by the authors from many years of experience. These concepts have been well proven, as they were followed closely in the development of the VP-UML CASE tool. The authors follow a framework for modeling and analysis called the View Alignment Techniques (VAT) that helps software developers create development methods.The Activity Analysis Approach, which is particularly suited for the development of interaction-intensive systems, is described. Accompanying the book is the Community Edition of Visual Paradigm for UML (VP-UML), an award-winning CASE tool, which allows the reader to put the theories learned into practice immediately. The reader will learn object-oriented analysis, design and implementation using appropriate UML models, process, techniques and tool. This book is written for students and developers who wish to master the essential skills and techniques in applying the UML for software development. To learn more about how and for what purposes Amazon uses personal information (such as Amazon Store order history), please visit our Privacy Notice. You can change your choices at any time by visiting Cookie Preferences, as described in the Cookie Notice. ![]() Click ‘Customise Cookies’ to decline these cookies, make more detailed choices, or learn more. Third parties use cookies for their purposes of displaying and measuring personalised ads, generating audience insights, and developing and improving products. This includes using first- and third-party cookies, which store or access standard device information such as a unique identifier. If you agree, we’ll also use cookies to complement your shopping experience across the Amazon stores as described in our Cookie Notice. We also use these cookies to understand how customers use our services (for example, by measuring site visits) so we can make improvements. We use cookies and similar tools that are necessary to enable you to make purchases, to enhance your shopping experiences and to provide our services, as detailed in our Cookie Notice.
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