Evidence map›Paper›PMID 39789453›Full record

ArticleBMC infectious diseases2025

Spatiotemporal analysis of mosquito-borne infections and mosquito vectors in mainland Portugal.

Sandra Moutinho, Jorge Rocha, Alberto Gomes, Bernardo Gomes, Ana Isabel Ribeiro

Abstract read
In one paragraph

Article in BMC infectious diseases, 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

5 authors.

Sandra MoutinhoCentro de Estudos de Geografia e Ordenamento do Território, Departamento de Geografia, Faculdade de Letras, Universidade do Porto, Porto, 4150 - 564, Portugal. sandra.moutinho@outlook.com.
Jorge RochaCentre of Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Rua Branca Edmée Marques, Edifício IGOT, Cidade Universitária, Lisboa, 1600 - 276, Portugal.
Alberto GomesCentro de Estudos de Geografia e Ordenamento do Território, Departamento de Geografia, Faculdade de Letras, Universidade do Porto, Porto, 4150 - 564, Portugal.
Bernardo GomesEPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, nº 135, Porto, 4050 - 600, Portugal.
Ana Isabel RibeiroEPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, nº 135, Porto, 4050 - 600, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of mosquito-borne infections has increased worldwide. Mainland Portugal's characteristics might favour the (re)emergence of mosquito-borne diseases. This study aimed to characterize the spatial distribution of vectors and notification rates of imported cases of mosquito-borne infections in mainland Portugal and demarcate the areas where these geographies overlap.

methodsWe used data from imported cases of malaria, dengue and Zika from 2009 to 2019, alongside data on the presence of mosquitoes capable of potentially transmitting these diseases at the municipality level (2009-2018). This data was provided by the National Epidemiological Surveillance System and Regional Health Administrations, based on reports from the Vector Surveillance Network. While the mosquitoes in question do not currently transmit these diseases, they have the potential to do so if there is a significant increase in pathogen circulation. A spatial cluster analysis was performed using the univariate Local Moran Index, the Bivariate Moran Local Index and the Mann-Kendall method.

resultsWe found significant spatial variability in both notification rates of imported mosquito-borne infections and the distribution of competent mosquito species. We identified clusters of simultaneous high concentrations of vectors and imported cases of malaria in Condeixa-a-Nova (Coimbra), Cuba (Beja), Santiago do Cacém (Setúbal), Albufeira and São Brás de Alportel (Faro), most located on the Southern coast of Portugal. For dengue, we detected clusters of simultaneous high concentrations of vectors and imported cases in Paredes, in the Northern region, and Faro, on the southern coast. For Zika, no clusters were identified.

conclusionThis study identified areas with high notification rates of imported cases and the presence of competent vectors. Surveillance, control, and awareness efforts are essential, as these areas may present higher risks for local transmission in the future if ecological conditions remain or become suitable, potentially evolving into foci for disease transmission.

Indexed as

DengueMalariaMosquito VectorsSpatio-Temporal AnalysisVector Borne DiseasesZika Virus InfectionAnimalsCommunicable Diseases, ImportedCulicidaeHumansIncidencePortugalClustersSpatial analysisSpatiotemporal distributionVector-Borne diseases

Identifiers

PMID39789453
PMCPMC11721337

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LicenceCC BY-NC-ND
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Registered trials

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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.