Skip to main content
padlock icon - secure page this page is secure

Open Access Modernising Medical Microbiology

Download Article:
 Download
(PDF 248.2 kb)
 
The work is funded by the: Oxford BRC Infection Theme and the Modernising Medical Microbiology UK Clinical Research Consortium (UK-CRC), Wellcome Trust Medical Research Council (MRC), Bill and Melinda Gates Foundation, National Institute for Health Research Oxford Biomedical Research Centre and the National Institute for Health Research and encompasses a plethora of projects.

These include: the Comprehensive Resistance Prediction for Tuberculosis: an International Consortium (CRyPTIC) project, which is seeking to speed up diagnosis of tuberculosis (TB); the environmental REsistome: confluence of Human and Animal Biota in antibiotic resistance spread (REHAB), which is looking in detail on a genetic level at bacteria in farm animals, human/animal sewage, sewage treatment works and rivers, to work out the complex network of transmission of important antibiotic-resistant bacteria and antibiotic resistance genes; Infections in Oxfordshire Research Database (IORD), which is seeking to improve the management of infection in UK hospitals; Antibiotic Reduction & Konservation (ARK) Programme, which is aiming to safely reduce antibiotic use in hospitals; National Institute of Health Research (NIHR) Health Protection Research Unit, which is developing new ways to detect, monitor, investigate and reduce the occurrence of healthcare-associated infections and antimicrobial resistance in the NHS; Health Innovation Challenge Fund (HICF), which is working to demonstrate locally-based genome sequencing operating in a network of routine UK NHS service laboratories at Oxford, Brighton, Birmingham and Leeds; whole-genome association studies that are attempting to try and pin down genetic variants associated with phenotypes such as increased virulence or mortality in various study species; and the MMM Transmission Study, which is the group's very first project that is using a bug's genetic code to work out whether and how it is being passed from person to person.
No References for this article.
No Supplementary Data.
No Article Media
No Metrics

Keywords: ANTIBIOTIC RESISTANCE GENES; ANTIBIOTIC RESISTANCE SPREAD; ANTIMICROBIAL RESISTANCE; GENOME SEQUENCING; INFECTIONS; MEDICAL MICROBIOLOGY; OCCURRENCE OF HEALTHCARE-ASSOCIATED INFECTIONS; RESISTANCE PREDICTION FOR TUBERCULOSIS; TRANSMISSION OF ANTIBIOTIC-RESISTANT BACTERIA; WHOLE-GENOME ASSOCIATION

Document Type: Research Article

Publication date: 01 March 2018

More about this publication?
  • Impact is a series of high-quality, open access and free to access science reports designed to enable the dissemination of research impact to key stakeholders. Communicating the impact and relevance of research projects across a large number of subjects in a content format that is easily accessible by an academic and stakeholder audience. The publication features content from the world's leading research councils, policy groups, universities and research projects. Impact is published under a CC-BY Creative Commons licence.

  • Subscribe to this Title
  • Terms & Conditions
  • Disseminating research in Impact
  • Information about Impact
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more