Evidence map›Paper›PMID 39205216›Full record

ReviewViruses2024

Genomics for Arbovirus Surveillance: Considerations for Routine Use in Public Health Laboratories.

Leandro Patiño, Andrea Denisse Benítez, Andrés Carrazco-Montalvo, Mary Regato-Arrata

Abstract readReview
In one paragraph

Review in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Global Genomic Surveillance.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
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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

4 authors.

Leandro PatiñoInstituto Nacional de Investigación en Salud Pública "Leopoldo Izquieta Pérez", Dirección Técnica de Investigación, Desarrollo e Innovación, Guayaquil 090150, Ecuador.
Andrea Denisse BenítezInstituto de Microbiología, Universidad San Francisco de Quito USFQ, Quito 170901, Ecuador.
Andrés Carrazco-MontalvoInstituto Nacional de Investigación en Salud Pública "Leopoldo Izquieta Pérez", Centro de Referencia Nacional de Genómica, Secuenciación y Bioinformática, Quito 170403, Ecuador.ORCID 0000-0002-3581-7761
Mary Regato-ArrataInstituto Nacional de Investigación en Salud Pública "Leopoldo Izquieta Pérez", Centro de Referencia Nacional de Virus Exantemáticos, Gastroentericos y Transmitidos por Vectores, Guayaquil 090150, Ecuador.

Funding

Secretaría de Educación Superior, Ciencia, Tecnología e Innovación Proyecto INÉDITA-PIC-21-INE-INSPI-001
6 · The paper itself

Abstract

The emergence and re-emergence of arthropod-borne viruses is a public health threat. For routine surveillance in public health laboratories, cost-effective and reproducible methods are essential. In this review, we address the technical considerations of high-throughput sequencing methods (HTS) for arbovirus surveillance in national health laboratories, focusing on pre-sequencing, sequencing, and post-sequencing approaches, underlining the importance of robust wet and dry laboratory workflows for reproducible analysis. We aim to provide insights for researchers and clinicians interested in arbovirus, diagnosis, and surveillance by discussing current advances in sequencing methods and bioinformatics pipelines applied to arboviruses.

Indexed as

ArbovirusesArbovirus InfectionsGenomicsHigh-Throughput Nucleotide SequencingPublic HealthAnimalsComputational BiologyEpidemiological MonitoringGenome, ViralHumansLaboratoriesarbovirusbioinformaticsgenome assemblymetagenomic sequencingpublic healthvector control

Identifiers

PMID39205216
PMCPMC11360194

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.