Acknowledgements

This free course was collaboratively written by Liz Sheridan and Sarah Palmer, and reviewed by Priya Khanna, Melanie Bannister-Tyrrell, Skye Badger, Claire Gordon, Natalie Moyen and Hilary MacQueen.

Except for third party materials and otherwise stated (see terms and conditions), this content is made available under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Licence.

The material acknowledged below is Proprietary and used under licence (not subject to Creative Commons Licence). Grateful acknowledgement is made to the following sources for permission to reproduce material in this free course:

Images

Module image: Yulia Koltyrina/123RF.

Figures 1, 2 and 4: L. Sheridan.

Figures 3, 5, 6, 8 and 9: E. Tinnion and L. Sheridan.

Activity 11 (top to bottom): S. aureus: National Institutes of Health/Stocktrek Images/Getty Images; S. pneumoniae: Eye of Science/Science Photo Library; A. baumannii: Janice Haney Carr (public domain image); E. coli: David McCarthy/Science Photo Library; K. pneumoniae: Cultura Creative RF/Alamy Stock Photo; N. gonorrhoeae: National Institute of Allergy and Infectious Diseases, National Institutes of Health, ‘Neisseria gonorrhoeae bacteria’, https://www.flickr.com/ photos/ nihgov/ 24503565430 [Tip: hold Ctrl and click a link to open it in a new tab. (Hide tip)] – this file is licensed under a Creative Commons Attribution-NonCommercial 2.0 Generic (CC BY-NC 2.0) licence, https://creativecommons.org/ licenses/ by-nc/ 2.0/; S. typhimurium: Volker Brinkmann, Max Planck Institute for Infection Biology, Berlin, Germany in ‘A novel data-mining approach systematically links genes to traits’ (2005) PLOS Biology 3(5): e166, https://doi.org/ 10.1371/ journal.pbio.0030166 – this file is licensed under a Creative Commons Attribution 2.5 Generic (CC BY 2.5) licence, https://creativecommons.org/ licenses/ by/ 2.5/; Shigella: Stephanie Rossow/Science Photo Library/Getty Images.

Figure 7: adapted from Ng, L.S.Y., Thean Yen Tan, T.Y. and Yeow, S.C.S. (2010) ‘A cost-effective method for the presumptive identification of Enterobacteriaceae for diagnostic microbiology laboratories’ [online] DOI: https://doi.org/ 10.3109/ 00313021003631338

Tables

Table 3: based on Global Antimicrobial Resistance Surveillance System: Manual for Early Implementation, World Health Organization, surveillance methods, p. 5, copyright 2015, https://apps.who.int/ iris/ bitstream/ handle/ 10665/ 188783/ 9789241549400_eng.pdf .

Text

Activity 3: adapted from Public Health England (2018) ‘UK Standards for Microbiology Investigations: investigation of swabs from skin and superficial soft tissue infections’ available online at: https://www.gov.uk/ government/ publications/ smi-b-11-investigation-of-skin-superficial-and-non-surgical-wound-swabs – reproduced under the terms of the Open Government Licence v3.0, https://www.nationalarchives.gov.uk/ doc/ open-government-licence/ version/ 3/.

Video

Video 1: The Open University.

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