Abstract

Analysing the genomic data of pathogens with the help of next-generation sequencing (NGS) is an increasingly important part of disease outbreak investigations and helps guide responses. While this technology has already been successfully employed to elucidate and control disease outbreaks, wider implementation of NGS also depends on its cost-effectiveness. COMPARE - short for 'Collaborative Management Platform for detection and Analyses of (Re-) emerging and foodborne outbreaks' - is a major project, funded by the European Union, to develop a global platform for sharing and analysing NGS data and thereby improve the rapid identification, containment and mitigation of emerging infectious diseases and foodborne outbreaks. This article introduces the project and presents the results of a review of the literature, composed of previous relevant cost-benefit and cost-effectiveness analyses. The authors also outline the implications for a methodological framework to assess the costeffectiveness of COMPARE and similar systems.

Keywords

Sequence (biology)Computer scienceData miningData scienceComputational biologyBiologyGenetics

MeSH Terms

AnimalsCost-Benefit AnalysisGenomicsGlobal HealthHumansTime FactorsWhole Genome Sequencing

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Publication Info

Year
2017
Type
review
Volume
36
Issue
1
Pages
311-322
Citations
8
Access
Closed

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8
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Cite This

Frank Alleweldt, Şenda Kara, Agathe Osinski et al. (2017). Developing a framework to assess the costeffectiveness of COMPARE – a global platform for the exchange of sequence-based pathogen data. Revue Scientifique et Technique de l OIE , 36 (1) , 311-322. https://doi.org/10.20506/rst.36.1.2631

Identifiers

DOI
10.20506/rst.36.1.2631
PMID
28926006

Data Quality

Data completeness: 86%