Imperial College London
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Dr. Elita Jauneikaite

Faculty of Medicine, School of Public Health

Advanced Research Fellow
 
 
 
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Contact

 

e.jauneikaite

 
 
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Location

 

Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Price:2023:10.1099/mgen.0.000947,
author = {Price, V and Ngwira, LG and Lewis, JM and Baker, KS and Peacock, SJ and Jauneikaite, E and Feasey, N},
doi = {10.1099/mgen.0.000947},
journal = {Microbial Genomics},
title = {A systematic review of economic evaluations of whole genome sequencing for the surveillance of bacterial pathogens},
url = {http://dx.doi.org/10.1099/mgen.0.000947},
volume = {9},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Whole-genome sequencing (WGS) has unparalleled ability to distinguish between bacteria, with many public health applications. The generation and analysis of WGS data require significant financial investment. We describe a systematic review summarizing economic analyses of genomic surveillance of bacterial pathogens, reviewing the evidence for economic viability. The protocol was registered on PROSPERO (CRD42021289030). Six databases were searched on 8 November 2021 using terms related to ‘WGS’, ‘population surveillance’ and ‘economic analysis’. Quality was assessed with the Drummond–Jefferson checklist. Following data extraction, a narrative synthesis approach was taken. Six hundred and eighty-one articles were identified, of which 49 proceeded to full-text screening, with 9 selected for inclusion. All had been published since 2019. Heterogeneity was high. Five studies assessed WGS for hospital surveillance and four analysed foodborne pathogens. Four were cost–benefit analyses, one was a cost–utility analysis, one was a cost-effectiveness analysis, one was a combined cost-effectiveness and cost–utility analysis, one combined cost-effectiveness and cost–benefit analyses and one was a partial analysis. All studies supported the use of WGS as a surveillance tool on economic grounds. The available evidence supports the use of WGS for pathogen surveillance but is limited by marked heterogeneity. Further work should include analysis relevant to low- and middle-income countries and should use real-world effectiveness data.
AU  - Price,V
AU  - Ngwira,LG
AU  - Lewis,JM
AU  - Baker,KS
AU  - Peacock,SJ
AU  - Jauneikaite,E
AU  - Feasey,N
DO  - 10.1099/mgen.0.000947
PY  - 2023///
SN  - 2057-5858
TI  - A systematic review of economic evaluations of whole genome sequencing for the surveillance of bacterial pathogens
T2  - Microbial Genomics
UR  - http://dx.doi.org/10.1099/mgen.0.000947
UR  - http://hdl.handle.net/10044/1/107218
VL  - 9
ER  -
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