Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria



Myall, Ashleigh C ORCID: 0000-0001-6202-0662, Peach, Robert L, Weiße, Andrea Y, Mookerjee, Siddharth, Davies, Frances, Holmes, Alison ORCID: 0000-0001-5554-5743 and Barahona, Mauricio ORCID: 0000-0002-1089-5675
(2021) Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria. Applied Network Science, 6 (1). 34-.

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Abstract

<jats:title>Abstract</jats:title><jats:p>Hospitals constitute highly interconnected systems that bring into contact an abundance of infectious pathogens and susceptible individuals, thus making infection outbreaks both common and challenging. In recent years, there has been a sharp incidence of antimicrobial-resistance amongst healthcare-associated infections, a situation now considered endemic in many countries. Here we present network-based analyses of a data set capturing the movement of patients harbouring antibiotic-resistant bacteria across three large London hospitals. We show that there are substantial memory effects in the movement of hospital patients colonised with antibiotic-resistant bacteria. Such memory effects break first-order Markovian transitive assumptions and substantially alter the conclusions from the analysis, specifically on node rankings and the evolution of diffusive processes. We capture variable length memory effects by constructing a lumped-state memory network, which we then use to identify individually import wards and overlapping communities of wards. We find these wards align closely to known hotspots of transmission and commonly followed pathways patients. Our framework provides a means to focus infection control efforts and cohort outbreaks of healthcare-associated infections.</jats:p>

Item Type: Article
Uncontrolled Keywords: Infectious Diseases, Clinical Research, Biodefense, Emerging Infectious Diseases, Antimicrobial Resistance, Prevention, Vaccine Related, Infection, 3 Good Health and Well Being
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 28 Mar 2023 14:03
Last Modified: 15 Mar 2024 14:11
DOI: 10.1007/s41109-021-00376-5
Open Access URL: https://doi.org/10.1007/s41109-021-00376-5
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3169315