Evidence map›Paper›PMID 38131795›Full record

ArticleBiosensors2023

Rapid On-Site Detection of Arboviruses by a Direct RT-qPCR Assay.

Moufid Mhamadi, Giulia Mencattelli, Alioune Gaye, El Hadji Ndiaye, Aïssatou Aïcha Sow, Martin Faye, Marie Henriette Dior Ndione, Moussa Moïse Diagne, Moundhir Mhamadi, Ousmane Faye and 4 more

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Arbovirus Detection inPathogens (Basel, Switzerland) · 2025
    Article
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

14 authors at 1 institution in 2 countries.

Moufid MhamadiDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0002-8892-3904
Giulia MencattelliDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0002-4770-756X
Alioune GayeDepartment of Medical Zoology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0002-3683-8521
El Hadji NdiayeDepartment of Medical Zoology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0002-5007-0723
Aïssatou Aïcha SowDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0002-0500-2625
Martin FayeDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0003-3207-6344
Marie Henriette Dior NdioneDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0002-5613-4521
Moussa Moïse DiagneDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0001-5461-5623
Moundhir MhamadiDIATROPIX, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.
Ousmane FayeDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.
Manfred WeidmannInstitute of Microbiology and Virology, Brandenburg Medical School Theodor Fontane, 01968 Senftenberg, Germany.ORCID 0000-0002-7063-7491
Oumar FayeDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.ORCID 0000-0002-3478-1322
Mawlouth DialloDIATROPIX, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.
Cheikh Tidiane DiagneDepartment of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.
Institut Pasteur de Dakar · SN

Funding

Innovative Medicines Initiative 2 Joint Undertaking (JU) 823666
6 · The paper itself

Abstract

Arthropod-borne diseases currently constitute a source of major health concerns worldwide. They account for about 50% of global infectious diseases and cause nearly 700,000 deaths every year. Their rapid increase and spread constitute a huge challenge for public health, highlighting the need for early detection during epidemics, to curtail the virus spread, and to enhance outbreak management. Here, we compared a standard quantitative polymerase chain reaction (RT-qPCR) and a direct RT-qPCR assay for the detection of Zika (ZIKV), Chikungunya (CHIKV), and Rift Valley Fever (RVFV) viruses from experimentally infected-mosquitoes. The direct RT-qPCR could be completed within 1.5 h and required 1 µL of viral supernatant from homogenized mosquito body pools. Results showed that the direct RT-qPCR can detect 85.71%, 89%, and 100% of CHIKV, RVFV, and ZIKV samples by direct amplifications compared to the standard method. The use of 1:10 diluted supernatant is suggested for CHIKV and RVFV direct RT-qPCR. Despite a slight drop in sensitivity for direct PCR, our technique is more affordable, less time-consuming, and provides a better option for qualitative field diagnosis during outbreak management. It represents an alternative when extraction and purification steps are not possible because of insufficient sample volume or biosecurity issues.

Indexed as

ArbovirusesChikungunya FeverChikungunya virusCulicidaeDengue VirusZika VirusZika Virus InfectionAnimalsarbovirusdirect RT-qPCRfield diagnosisinfected mosquitoessupernatant

Identifiers

PMID38131795
PMCPMC10741549
OpenAlexW4389921017

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.