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William Malcolm,
Jacqueline Sneddon,
Carolyne H,
and
Hannah Stewart
Topics Covered
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Topics Covered
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Topics Covered
- The importance of measurement in antimicrobial stewardship programmes.
- The benefits of conducting a PPS.
- The types of data collected.
- The importance of feedback of results to drive improvements in antibiotic prescribing.
- Key messages from success stories across the globe.
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Reviews summary
Antibiotics resistance: good knowledge
Students who reviewed this course found it to have a lot of great qualities, including complementary materials and engaging lectures. Overall, students gave this course a 4-star rating.
This course has a lot of extra materials.
"I found a lot of complementary materials since I did this course"
The lectures were really interesting.
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Reading list
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Provides a comprehensive overview of antibacterial drug discovery, covering the history, mechanisms, and challenges of developing new antibiotics. It is written by a leading expert in the field and is an essential resource for anyone working in the field of drug discovery.
Provides a general audience-friendly overview of antibiotic resistance, covering the history, mechanisms, and consequences of antibiotic resistance. It is written by a leading expert in the field and is an essential resource for anyone interested in learning more about antibiotic resistance.
This report from the World Health Organization provides a global overview of antimicrobial resistance, covering the epidemiology, mechanisms, and consequences of antimicrobial resistance. It is an essential resource for anyone working in the field of public health.
This guide provides guidance on the responsible use of antimicrobial agents in animals. It covers the principles of antimicrobial therapy, the epidemiology of antimicrobial resistance in animals, and the various strategies and tools that can be used to promote the responsible use of antimicrobial agents in animals.
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This guide provides public health practitioners with a comprehensive overview of antimicrobial stewardship. It covers the principles of antimicrobial therapy, the epidemiology of antimicrobial resistance, and the various strategies and tools that can be used to implement antimicrobial stewardship programs in public health settings.
This compendium provides detailed protocols for performing antimicrobial susceptibility testing. It is an essential resource for clinical laboratories that are involved in the diagnosis and management of infections.
This journal publishes original research articles, review articles, and case reports on all aspects of antimicrobial chemotherapy. It is an essential resource for clinicians, microbiologists, and infectious diseases specialists who are involved in the fight against antimicrobial resistance.
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Provides a comprehensive overview of medical microbiology, covering topics such as microbial infections, pathogenesis, immunity, laboratory diagnosis, and control. It valuable resource for medical students, residents, and other healthcare professionals seeking a deeper understanding of the field.
This journal publishes original research, reviews, and commentaries on all aspects of infection control. It valuable resource for healthcare professionals seeking to stay up-to-date with the latest advances in the field.
This journal publishes original research, reviews, and commentaries on all aspects of hospital infection. It valuable resource for healthcare professionals seeking to stay up-to-date with the latest advances in the field.
This journal publishes original research, reviews, and commentaries on infection control and hospital epidemiology. It valuable resource for healthcare professionals seeking to stay up-to-date with the latest advances in the field.
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This comprehensive textbook provides a detailed overview of the principles and practices of data collection in the social sciences, covering topics such as research design, sampling, data quality, and ethical considerations. It offers a strong foundation for understanding the entire data collection process.
This practical guide to data collection methods helps researchers design and implement effective studies, encompassing a wide range of techniques, including surveys, interviews, observations, and archival research. It provides clear and detailed instructions for each method and emphasizes the importance of reliability and validity.
Presents a comprehensive overview of survey research methods, including sampling design, questionnaire construction, data collection modes, and analysis techniques. It provides insights into the challenges and complexities of survey research and offers practical guidance for conducting successful surveys.
This textbook offers a comprehensive introduction to survey research, covering the entire process from research design to data analysis. It provides theoretical foundations, practical guidance, and real-world examples, helping students understand the strengths and limitations of survey methods.
This introductory text provides a clear and accessible overview of data collection and analysis principles. It covers fundamental concepts such as data types, sampling techniques, data cleaning, and statistical analysis, making it suitable for beginners in data science and related fields.
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Focuses on qualitative interviewing techniques, providing a step-by-step guide to conducting effective interviews. It covers ethical considerations, interview design, data analysis, and common challenges researchers may encounter. It offers a valuable resource for those interested in qualitative data collection methods.
This comprehensive encyclopedia provides an extensive overview of social science research methods, including data collection techniques such as surveys, interviews, observations, and experiments. It covers both quantitative and qualitative approaches and serves as a valuable reference for researchers seeking a deeper understanding of various data collection methodologies.
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Explores big data analytics techniques and their applications across various fields. It covers data collection methods for handling large and complex datasets, as well as advanced analytics methodologies such as machine learning and predictive modeling. Researchers interested in leveraging big data for insights and decision-making will find this book valuable.
Provides an introduction to multivariate analysis methods, such as principal component analysis, cluster analysis, and discriminant analysis, using the R programming language. It explains the underlying concepts and provides practical examples and exercises, making it suitable for researchers interested in applying multivariate techniques to their data.
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