Evidence map›Paper›PMID 39882111›Full record

ArticleFrontiers in public health2024

Genomics costing tool: considerations for improving cost-efficiencies through cross scenario comparison.

Marco Marklewitz, Alexandr Jaguparov, Aude Wilhelm, Oluwatosin Wuraola Akande, Biran Musul, Angela Lee Poates, Babak Afrough, Ashley Norberg, Noah Clayton Hull, Soudeh Ehsani and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Marco MarklewitzFIND, Geneva, Switzerland.
Alexandr JaguparovInfectious Hazard Management, World Health Organization Regional Office for Europe, Copenhagen, Denmark.
Aude WilhelmNew Variant Assessment Platform, UK Health Security Agency, London, United Kingdom.
Oluwatosin Wuraola AkandeDepartment of Epidemic and Pandemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland.
Biran MusulInfectious Hazard Management, World Health Organization Regional Office for Europe, Copenhagen, Denmark.
Angela Lee PoatesGlobal Health, Association of Public Health Laboratories, Bethesda, MD, United States.
Babak AfroughNew Variant Assessment Platform, UK Health Security Agency, London, United Kingdom.
Ashley NorbergGlobal Health, Association of Public Health Laboratories, Bethesda, MD, United States.
Noah Clayton HullGlobal Health, Association of Public Health Laboratories, Bethesda, MD, United States.
Soudeh EhsaniJoint Infectious Diseases Unit, World Health Organization Regional Office for Europe, Copenhagen, Denmark.
Group members of GCT pilot working group
Joanna Salvi Le GarrecInfectious Hazard Management, World Health Organization Regional Office for Europe, Copenhagen, Denmark.
Toni WhistlerTechnical Advice and Partnership Department, The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Next-generation sequencing (NGS) is crucial for monitoring and investigating infectious disease outbreaks, providing essential data for public health decisions. The COVID-19 pandemic has significantly expanded pathogen sequencing and bioinformatics capacities worldwide, creating an opportunity to leverage these advancements for other pathogens with pandemic and epidemic potential. In response to the need for a systematic cost estimation approach for sustainable genomic surveillance, particularly in low- and middle-income countries, five institutions collaborated to develop the genomics costing tool (GCT). These institutions are the Association of Public Health Laboratories (APHL), FIND, The Global Fund to Fight AIDS, Tuberculosis and Malaria, the UK Health Security Agency (UKHSA), and the World Health Organization (WHO). To validate the GCT, it was piloted in public health laboratories across three WHO regions: African, Eastern Mediterranean, and European. The pilot exercises were intended to assess the tool's accuracy, utility, and functionality, exploring scenarios for validating past expenditure, routine use, cost optimization, and scaling up sequencing services. Data from these pilots demonstrated significant cost reductions per sample with increased throughput, underscoring the economic benefits of the optimized use of sequencing platforms underpinned by sample throughput. The GCT enables laboratories to estimate and visualize costs, plan budgets, and improve cost-efficiencies for sequencing and bioinformatics based on factors such as equipment purchase and preventative maintenance, reagents and consumables, annual sample throughput, human resources training, quality assurance and management. This publication shares key findings from pilot exercises offering detailed insights into the cost of routine NGS implementation using either short- or long-read sequencing technologies, demonstrating the utility of GCT as an asset to support efforts for sustainable funding and strategic planning in genomic surveillance.

Indexed as

Cost-Benefit AnalysisCOVID-19GenomicsHigh-Throughput Nucleotide SequencingHumansPublic HealthSARS-CoV-2cost-analysiscosting toolCOVID-19genomic surveillancenext-generation sequencing

Identifiers

PMID39882111
PMCPMC11775897

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.