Evidence map›Paper›PMID 40906386›Full record

ArticleBiology2025

Enhancing Entomological Surveillance: Real-Time Monitoring of Mosquito Activity with the VECTRACK System in Rural and Urban Areas.

Manuel Silva, Bruna R Gouveia, José Maurício Santos, Nélia Guerreiro, Alexandra Monteiro, Soraia Almeida, Hugo Costa Osório

Abstract read
In one paragraph

Article in Biology, 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. 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

7 authors.

Manuel SilvaNational Institute of Health Doutor Ricardo Jorge (INSA), Centre for Vectors and Infectious Diseases Research (CEVDI), Avenida da Liberdade n.-5, 2965-575 Águas de Moura, Portugal.ORCID 0000-0002-4470-2202
Bruna R GouveiaDireção Regional da Saúde, Rua 31 de Janeiro, n°. 54 e 55, 9054-511 Funchal, Portugal.ORCID 0000-0001-7706-190X
José Maurício SantosDireção Regional da Saúde, Rua 31 de Janeiro, n°. 54 e 55, 9054-511 Funchal, Portugal.ORCID 0000-0001-7119-6280
Nélia GuerreiroDepartamento de Saúde Publica e Planeamento, Administração Regional de Saúde do Algarve, IP, EN 125, Sítio das Figuras, Lote 1, 2° andar, 8005-145 Faro, Portugal.ORCID 0000-0002-5001-4377
Alexandra MonteiroDepartamento de Saúde Publica e Planeamento, Administração Regional de Saúde do Algarve, IP, EN 125, Sítio das Figuras, Lote 1, 2° andar, 8005-145 Faro, Portugal.ORCID 0000-0001-8538-7504
Soraia AlmeidaUnidade de Saúde Pública, Administração Regional de Saúde do Algarve, IP, EN 125, Sítio das Figuras, Lote 1, 2° andar, 8005-145 Faro, Portugal.
Hugo Costa OsórioNational Institute of Health Doutor Ricardo Jorge (INSA), Centre for Vectors and Infectious Diseases Research (CEVDI), Avenida da Liberdade n.-5, 2965-575 Águas de Moura, Portugal.ORCID 0000-0001-6704-740X

Funding

European Innovation Council and SMEs Executive Agency 101099283Fundação para a Ciência e Tecnologia 2022.13476.BDANA
6 · The paper itself

Abstract

backgroundMosquitoes from the

methodsThe VECTRACK system was deployed in three locations: Funchal on Madeira Island, and Palmela and Algarve on mainland Portugal. Catch bags were manually inspected at intervals ranging from daily to weekly, resulting in a total of 38 captures in Madeira, 10 in Palmela, and 7 in the Algarve. Manual identifications were compared with those generated by the VECTRACK system, and the degree of correlation between the two datasets was assessed using Spearman's rank correlation coefficient.

resultsA total of 176 mosquitoes were captured in Madeira, 732 in Palmela, and 143 in the Algarve. Both manual and sensor-based identifications demonstrated similar performance, with high correlation observed between the two methods. Spearman's rank correlation coefficients indicated high agreement for both female and male mosquitoes across all sites: Madeira: females = 0.84, males = 0.92, Palmela: females = 0.99, males = 0.84, Algarve: females = 0.98, and males = 0.99, all with

conclusionsThe VECTRACK system demonstrated strong performance in accurately distinguishing mosquitoes from non-mosquitoes, differentiating between

Indexed as

Aedes vectorsmachine-learningmosquito surveillanceVECTRACK

Identifiers

PMID40906386
PMCPMC12383513

What OpenQuestion holds

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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.