Imperial College London
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DrRobertPeach

Faculty of Medicine, Department of Brain Sciences

Honorary Research Fellow
 
 
 
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Contact

 

r.peach13

 
 
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Location

 

ChemistrySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Myall:2021:10.1101/2021.04.07.21254497,
author = {Myall, A and Peach, RL and Wan, Y and Mookerjee, S and Jauneikaite, E and Bolt, F and Price, J and Davies, F and Weiße, AY and Holmes, A and Barahona, M},
doi = {10.1101/2021.04.07.21254497},
title = {Characterising contact in disease outbreaks via a network model of spatial-temporal proximity},
url = {http://dx.doi.org/10.1101/2021.04.07.21254497},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>ABSTRACT</jats:title><jats:p>Contact tracing is a key tool in epidemiology to identify and control outbreaks of infectious diseases. Existing contact tracing methodologies produce contact maps of individuals based on a binary definition of contact which can be hampered by missing data and indirect contacts. Here, we present a Spatial-temporal Epidemiological Proximity (StEP) model to recover contact maps in disease outbreaks based on movement data. The StEP model accounts for imperfect data by considering probabilistic contacts between individuals based on spatial-temporal proximity of their movement trajectories, creating a robust movement network despite possible missing data and unseen transmission routes. Using real-world data we showcase the potential of StEP for contact tracing with outbreaks of multidrug-resistant bacteria and COVID-19 in a large hospital group in London, UK. In addition to the core structure of contacts that can be recovered using traditional methods of contact tracing, the StEP model reveals missing contacts that connect seemingly separate outbreaks. Comparison with genomic data further confirmed that these recovered contacts indeed improve characterisation of disease transmission and so highlights how the StEP framework can inform effective strategies of infection control and prevention.</jats:p>
AU  - Myall,A
AU  - Peach,RL
AU  - Wan,Y
AU  - Mookerjee,S
AU  - Jauneikaite,E
AU  - Bolt,F
AU  - Price,J
AU  - Davies,F
AU  - Weiße,AY
AU  - Holmes,A
AU  - Barahona,M
DO  - 10.1101/2021.04.07.21254497
PY  - 2021///
TI  - Characterising contact in disease outbreaks via a network model of spatial-temporal proximity
UR  - http://dx.doi.org/10.1101/2021.04.07.21254497
ER  -
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