Evidence map›Paper›PMID 41295573›Full record

ArticleTropical medicine and infectious disease2025

Limited Spectroscopy Data and Machine Learning for Detection of Zika Virus Infection in

Leonardo Reigoto, Rafael Maciel-de-Freitas, Maggy T Sikulu-Lord, Gabriela A Garcia, Gabriel Araujo, Amaro Lima

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Beyond Borders-Tackling Neglected Tropical Viral Diseases.Tropical medicine and infectious disease · 2026
    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

6 authors.

Leonardo ReigotoUniversidade Federal Fluminense, Niteroi 24220-900, RJ, Brazil.ORCID 0009-0008-2287-7950
Rafael Maciel-de-FreitasLaboratório de Mosquitos Transmissores de Hematozoários, Instituto Oswaldo Cruz, Rio de Janeiro 21040-360, RJ, Brazil.ORCID 0000-0002-2198-6492
Maggy T Sikulu-LordSchool of the Environment, Faculty of Science, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-9346-2970
Gabriela A GarciaLaboratório de Mosquitos Transmissores de Hematozoários, Instituto Oswaldo Cruz, Rio de Janeiro 21040-360, RJ, Brazil.ORCID 0000-0002-7400-0367
Gabriel AraujoProgram of Electrical Engineering, Federal Centre of Technological Education of Rio de Janeiro (CEFET/RJ), Campus Maracanã, Rio de Janeiro 20911-020, RJ, Brazil.ORCID 0000-0002-0033-3265
Amaro LimaProgram of Instrumentation and Applied Optics, Federal Centre of Technological Education of Rio de Janeiro (CEFET/RJ), Campus Maracanã, Rio de Janeiro 20911-020, RJ, Brazil.ORCID 0000-0001-5397-6531

Funding

The United States Agency for International Development Combating Zika and Future Threats AID-OAA-F-16-00100
6 · The paper itself

Abstract

This study presents a technique for categorizing

Indexed as

arbovirusesclassificationdetectionmachine learningSupport Vector MachineZika virus

Identifiers

PMID41295573
PMCPMC12656995

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.