Imperial College London
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DrAndreaWeisse

Faculty of Medicine, Department of Infectious Disease

Honorary Lecturer
 
 
 
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Contact

 

andrea.weisse

 
 
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Location

 

Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Price:2021:cid/ciaa892,
author = {Price, JR and Mookerjee, S and Dyakova, E and Myall, A and Leung, W and Weiße, AY and Shersing, Y and Brannigan, ET and Galletly, T and Muir, D and Randell, P and Davies, F and Bolt, F and Barahona, M and Otter, JA and Holmes, AH},
doi = {cid/ciaa892},
journal = {Clinical Infectious Diseases},
pages = {82--89},
title = {Development and delivery of a real-time hospital-onset COVID-19 surveillance system using network analysis},
url = {http://dx.doi.org/10.1093/cid/ciaa892},
volume = {72},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundUnderstanding nosocomial acquisition, outbreaks and transmission chains in real-time will be fundamental to ensuring infection prevention measures are effective in controlling COVID-19 in healthcare. We report the design and implementation of a hospital-onset COVID-19 infection (HOCI) surveillance system for an acute healthcare setting to target prevention interventions.MethodsThe study took place in a large teaching hospital group in London, UK. All patients tested for SARS-CoV-2 between 4th March and 14th April 2020 were included. Utilising data routinely collected through electronic healthcare systems we developed a novel surveillance system for determining and reporting HOCI incidence and providing real-time network analysis. We provided daily reports on incidence and trends over time to support HOCI investigation, and generated geo-temporal reports using network analysis to interrogate admission pathways for common epidemiological links to infer transmission chains. By working with stakeholders the reports were co-designed for end users.ResultsReal-time surveillance reports revealed: changing rates of HOCI throughout the course of the COVID-19 epidemic; key wards fuelling probable transmission events; HOCIs over-represented in particular specialities managing high-risk patients; the importance of integrating analysis of individual prior pathways; and the value of co-design in producing data visualisation. Our surveillance system can effectively support national surveillance.ConclusionsThrough early analysis of the novel surveillance system we have provided a description of HOCI rates and trends over time using real-time shifting denominator data. We demonstrate the importance of including the analysis of patient pathways and networks in characterising risk of transmission and targeting infection control interventions.
AU  - Price,JR
AU  - Mookerjee,S
AU  - Dyakova,E
AU  - Myall,A
AU  - Leung,W
AU  - Weiße,AY
AU  - Shersing,Y
AU  - Brannigan,ET
AU  - Galletly,T
AU  - Muir,D
AU  - Randell,P
AU  - Davies,F
AU  - Bolt,F
AU  - Barahona,M
AU  - Otter,JA
AU  - Holmes,AH
DO  - cid/ciaa892
EP  - 89
PY  - 2021///
SN  - 1058-4838
SP  - 82
TI  - Development and delivery of a real-time hospital-onset COVID-19 surveillance system using network analysis
T2  - Clinical Infectious Diseases
UR  - http://dx.doi.org/10.1093/cid/ciaa892
UR  - https://academic.oup.com/cid/article/doi/10.1093/cid/ciaa892/5868508
UR  - http://hdl.handle.net/10044/1/80568
VL  - 72
ER  -
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