Literature DB >> 33663647

Economic evaluation of whole genome sequencing for pathogen identification and surveillance - results of case studies in Europe and the Americas 2016 to 2019.

Frank Alleweldt1, Şenda Kara1, Kris Best1, Frank M Aarestrup2, Martin Beer3, Theo M Bestebroer4, Josefina Campos5, Gabriele Casadei6, Isabel Chinen5, Gary Van Domselaar7, Catherine Dominguez8, Helen E Everett9, Ron Am Fouchier4, Kathie Grant10,11, Jonathan Green10,11, Dirk Höper3, Jonathan Johnston8, Marion Pg Koopmans4, Bas B Oude Munnink4, Robert Myers8, Celine Nadon7, Ami Patel8, Anne Pohlmann3, Stefano Pongolini6, Aleisha Reimer7, Shane Thiessen7, Claudia Wylezich3.   

Abstract

BackgroundWhole genome sequencing (WGS) is increasingly used for pathogen identification and surveillance.AimWe evaluated costs and benefits of routine WGS through case studies at eight reference laboratories in Europe and the Americas which conduct pathogen surveillance for avian influenza (two laboratories), human influenza (one laboratory) and food-borne pathogens (five laboratories).MethodsThe evaluation focused on the institutional perspective, i.e. the 'investment case' for implementing WGS compared with conventional methods, based on costs and benefits during a defined reference period, mostly covering at least part of 2017. A break-even analysis estimated the number of cases of illness (for the example of Salmonella surveillance) that would need to be avoided through WGS in order to 'break even' on costs.ResultsOn a per-sample basis, WGS was between 1.2 and 4.3 times more expensive than routine conventional methods. However, WGS brought major benefits for pathogen identification and surveillance, substantially changing laboratory workflows, analytical processes and outbreaks detection and control. Between 0.2% and 1.1% (on average 0.7%) of reported salmonellosis cases would need to be prevented to break even with respect to the additional costs of WGS.ConclusionsEven at cost levels documented here, WGS provides a level of additional information that more than balances the additional costs if used effectively. The substantial cost differences for WGS between reference laboratories were due to economies of scale, degree of automation, sequencing technology used and institutional discounts for equipment and consumables, as well as the extent to which sequencers are used at full capacity.

Entities:  

Keywords:  Costs and benefits of pathogen surveillance using WGS; Economic evaluation; Next Generation Sequencing; Whole Genome Sequencing; surveillance systems

Mesh:

Year:  2021        PMID: 33663647      PMCID: PMC7934224          DOI: 10.2807/1560-7917.ES.2021.26.9.1900606

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


  10 in total

1.  Use of whole-genome sequencing for the public health surveillance of Shigella sonnei in England and Wales, 2015.

Authors:  Timothy J Dallman; Marie A Chattaway; Piers Mook; Gauri Godbole; Paul D Crook; Claire Jenkins
Journal:  J Med Microbiol       Date:  2016-06-14       Impact factor: 2.472

2.  Whole genome sequencing reveals an outbreak of Salmonella Enteritidis associated with reptile feeder mice in the United Kingdom, 2012-2015.

Authors:  Sanch Kanagarajah; Alison Waldram; Gayle Dolan; Claire Jenkins; Philip M Ashton; Antonio Isidro Carrion Martin; Robert Davies; Andrew Frost; Timothy J Dallman; Elizabeth M De Pinna; Jeremy I Hawker; Kathie A Grant; Richard Elson
Journal:  Food Microbiol       Date:  2017-04-18       Impact factor: 5.516

Review 3.  Developing a framework to assess the costeffectiveness of COMPARE - a global platform for the exchange of sequence-based pathogen data.

Authors:  F Alleweldt; S Kara; A Osinski; P Van Baal; K Kellerborg; F M Aarestrup; M Koopmans
Journal:  Rev Sci Tech       Date:  2017-04       Impact factor: 1.181

4.  Short and long term mortality associated with foodborne bacterial gastrointestinal infections: registry based study.

Authors:  Morten Helms; Pernille Vastrup; Peter Gerner-Smidt; Kåre Mølbak
Journal:  BMJ       Date:  2003-02-15

5.  Processing-Dependent and Clonal Contamination Patterns of Listeria monocytogenes in the Cured Ham Food Chain Revealed by Genetic Analysis.

Authors:  Marina Morganti; Erika Scaltriti; Paolo Cozzolino; Luca Bolzoni; Gabriele Casadei; Marco Pierantoni; Emanuela Foni; Stefano Pongolini
Journal:  Appl Environ Microbiol       Date:  2015-11-20       Impact factor: 4.792

6.  Exploiting Bacterial Whole-Genome Sequencing Data for Evaluation of Diagnostic Assays: Campylobacter Species Identification as a Case Study.

Authors:  Melissa J Jansen van Rensburg; Craig Swift; Alison J Cody; Claire Jenkins; Martin C J Maiden
Journal:  J Clin Microbiol       Date:  2016-10-12       Impact factor: 5.948

Review 7.  Issues surrounding the health economic evaluation of genomic technologies.

Authors:  James Buchanan; Sarah Wordsworth; Anna Schuh
Journal:  Pharmacogenomics       Date:  2013-11       Impact factor: 2.533

8.  Integrating genome-based informatics to modernize global disease monitoring, information sharing, and response.

Authors:  Frank M Aarestrup; Eric W Brown; Chris Detter; Peter Gerner-Smidt; Matthew W Gilmour; Dag Harmsen; Rene S Hendriksen; Roger Hewson; David L Heymann; Karin Johansson; Kashef Ijaz; Paul S Keim; Marion Koopmans; Annelies Kroneman; Danilo Lo Fo Wong; Ole Lund; Daniel Palm; Pathom Sawanpanyalert; Jeremy Sobel; Jørgen Schlundt
Journal:  Emerg Infect Dis       Date:  2012-11       Impact factor: 6.883

9.  Operational burden of implementing Salmonella Enteritidis and Typhimurium cluster detection using whole genome sequencing surveillance data in England: a retrospective assessment.

Authors:  Piers Mook; Daniel Gardiner; Neville Q Verlander; Jacquelyn McCormick; Martine Usdin; Paul Crook; Claire Jenkins; Timothy J Dallman
Journal:  Epidemiol Infect       Date:  2018-07-02       Impact factor: 4.434

10.  Rise and fall of outbreak-specific clone inside endemic pulsotype of Salmonella 4,[5],12:i:-; insights from high-resolution molecular surveillance in Emilia-Romagna, Italy, 2012 to 2015.

Authors:  Marina Morganti; Luca Bolzoni; Erika Scaltriti; Gabriele Casadei; Elena Carra; Laura Rossi; Paola Gherardi; Fabio Faccini; Norma Arrigoni; Anna Rita Sacchi; Marco Delledonne; Stefano Pongolini
Journal:  Euro Surveill       Date:  2018-03
  10 in total
  5 in total

1.  Review of genome sequencing technologies in molecular characterization of influenza A viruses in swine.

Authors:  Ravendra P Chauhan; Michelle L Gordon
Journal:  J Vet Diagn Invest       Date:  2022-01-17       Impact factor: 1.279

2.  Coverage of the national surveillance system for human Salmonella infections, Belgium, 2016-2020.

Authors:  Nina Van Goethem; An Van Den Bossche; Pieter-Jan Ceyssens; Adrien Lajot; Wim Coucke; Kris Vernelen; Nancy H C Roosens; Sigrid C J De Keersmaecker; Dieter Van Cauteren; Wesley Mattheus
Journal:  PLoS One       Date:  2021-08-26       Impact factor: 3.240

3.  Towards reliable whole genome sequencing for outbreak preparedness and response.

Authors:  David F Nieuwenhuijse; Anne van der Linden; Robert H G Kohl; Reina S Sikkema; Marion P G Koopmans; Bas B Oude Munnink
Journal:  BMC Genomics       Date:  2022-08-09       Impact factor: 4.547

4.  Public health genomics capacity assessment: readiness for large-scale pathogen genomic surveillance in Canada's public health laboratories.

Authors:  C Nadon; M Croxen; N Knox; J Tanner; A Zetner; C Yoshida; G Van Domselaar
Journal:  BMC Public Health       Date:  2022-09-24       Impact factor: 4.135

Review 5.  AMD Genomics: Non-Coding RNAs as Biomarkers and Therapeutic Targets.

Authors:  Charles Zhang; Leah A Owen; John H Lillvis; Sarah X Zhang; Ivana K Kim; Margaret M DeAngelis
Journal:  J Clin Med       Date:  2022-03-09       Impact factor: 4.241

  5 in total

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