Most of the members of this group are from the Statistics Section and Biomaths research group of the Department of Mathematics. Below you can find a list of research areas that members of this group are currently working on and/or would like to work on by applying their developed mathematical and statistical methods.

Research areas

Research areas



BibTex format

author = {Myall, AC and Peach, RL and Weiße, AY and Davies, F and Mookerjee, S and Holmes, A and Barahona, M},
doi = {10.1007/s41109-021-00376-5},
journal = {Applied Network Science},
title = {Network memory in the movement of hospital patients carrying drug-resistant bacteria},
url = {},
volume = {6},
year = {2021}

RIS format (EndNote, RefMan)

AB - Hospitals constitute highly interconnected systems that bring into contact anabundance of infectious pathogens and susceptible individuals, thus makinginfection outbreaks both common and challenging. In recent years, there hasbeen a sharp incidence of antimicrobial-resistance amongsthealthcare-associated infections, a situation now considered endemic in manycountries. Here we present network-based analyses of a data set capturing themovement of patients harbouring drug-resistant bacteria across three largeLondon hospitals. We show that there are substantial memory effects in themovement of hospital patients colonised with drug-resistant bacteria. Suchmemory effects break first-order Markovian transitive assumptions andsubstantially alter the conclusions from the analysis, specifically on noderankings and the evolution of diffusive processes. We capture variable lengthmemory effects by constructing a lumped-state memory network, which we then useto identify overlapping communities of wards. We find that these communities ofwards display a quasi-hierarchical structure at different levels of granularitywhich is consistent with different aspects of patient flows related to hospitallocations and medical specialties.
AU - Myall,AC
AU - Peach,RL
AU - Weiße,AY
AU - Davies,F
AU - Mookerjee,S
AU - Holmes,A
AU - Barahona,M
DO - 10.1007/s41109-021-00376-5
PY - 2021///
SN - 2364-8228
TI - Network memory in the movement of hospital patients carrying drug-resistant bacteria
T2 - Applied Network Science
UR -
UR -
UR -
VL - 6
ER -