Tools
Tools
Price, Vivien, Ngwira, Lucky Gift, Lewis, Joseph 
ORCID: https://orcid.org/0000-0002-3837-5188, Baker, Kate S., Peacock, Sharon J., Jauneikaite, Elita and Feasey, Nicholas ORCID: https://orcid.org/0000-0003-4041-1405
(2023)
'A systematic review of economic evaluations of whole-genome sequencing for the surveillance of bacterial pathogens'. Microbial Genomics, Vol 9, Issue 2, e000947.
|
Text
mgen000947.pdf - Published Version Available under License Creative Commons Attribution. Download (959kB) | Preview |
Abstract
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.
| Item Type: | Article |
|---|---|
| Subjects: | QU Biochemistry > Genetics > QU 460 Genomics. Proteomics QU Biochemistry > Genetics > QU 550 Genetic techniques. PCR. Chromosome mapping QW Microbiology and Immunology > QW 50 Bacteria (General). Bacteriology. Archaea WC Communicable Diseases > Infection. Bacterial Infections > Bacterial Infections > WC 200 Bacterial infections (General or not elsewhere classified) |
| Faculty: Department: | Clinical Sciences & International Health > Clinical Sciences Department |
| Digital Object Identifer (DOI): | https://doi.org/10.1099/mgen.0.000947 |
| Depositing User: | Lynn Roberts-Maloney |
| Date Deposited: | 23 Feb 2023 15:30 |
| Last Modified: | 23 Feb 2023 15:30 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/22020 |
Statistics
Actions (login required)
 |
Edit Item |