Measuring distance through dense weighted networks: The case of hospital-associated pathogens

Tjibbe Donker; Timo Smieszek; Katherine L. Henderson; Alan P. Johnson; A. Sarah Walker; Julie V. Robotham

doi:10.1371/journal.pcbi.1005622

Loading metrics

Open Access

Peer-reviewed

Research Article

Measuring distance through dense weighted networks: The case of hospital-associated pathogens

Tjibbe Donker ,

* E-mail: tjibbe.donker@ndm.ox.ac.uk

Affiliations The National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, United Kingdom, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom, National Infection Service, Public Health England, Colindale, London, United Kingdom

http://orcid.org/0000-0001-9022-4240

⨯
Timo Smieszek,

Affiliations National Infection Service, Public Health England, Colindale, London, United Kingdom, MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
⨯
Katherine L. Henderson,

Affiliation National Infection Service, Public Health England, Colindale, London, United Kingdom
⨯
Alan P. Johnson,

Affiliations The National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, United Kingdom, National Infection Service, Public Health England, Colindale, London, United Kingdom
⨯
A. Sarah Walker ,

Contributed equally to this work with: A. Sarah Walker, Julie V. Robotham

Affiliations The National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, United Kingdom, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom, NIHR Biomedical Research Centre, Oxford, Oxford, United Kingdom

http://orcid.org/0000-0002-0412-8509

⨯
Julie V. Robotham

Contributed equally to this work with: A. Sarah Walker, Julie V. Robotham

Affiliations The National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, United Kingdom, National Infection Service, Public Health England, Colindale, London, United Kingdom
⨯

Measuring distance through dense weighted networks: The case of hospital-associated pathogens

Tjibbe Donker,
Timo Smieszek,
Katherine L. Henderson,
Alan P. Johnson,
A. Sarah Walker,
Julie V. Robotham

Published: August 3, 2017
https://doi.org/10.1371/journal.pcbi.1005622

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Centrality
Is the Subject Area "Centrality" applicable to this article?

Thanks for your feedback.
Medical risk factors
Is the Subject Area "Medical risk factors" applicable to this article?

Thanks for your feedback.
Hospitals
Is the Subject Area "Hospitals" applicable to this article?

Thanks for your feedback.
Pathogens
Is the Subject Area "Pathogens" applicable to this article?

Thanks for your feedback.
Network analysis
Is the Subject Area "Network analysis" applicable to this article?

Thanks for your feedback.
Distance measurement
Is the Subject Area "Distance measurement" applicable to this article?

Thanks for your feedback.
Simulation and modeling
Is the Subject Area "Simulation and modeling" applicable to this article?

Thanks for your feedback.
Body weight
Is the Subject Area "Body weight" applicable to this article?

Thanks for your feedback.