ArticleParasites & vectors2014
Distinct variation in vector competence among nine field populations of Aedes aegypti from a Brazilian dengue-endemic risk city.
Article in Parasites & vectors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Zika virus: An updated review of competent or naturally infected mosquitoes.PLoS neglected tropical diseases · 2017Pooled it
- Vector competence acrossJournal of virology · 2026Review
- Article
- Dynamics of vector competence for dengue virus type 2 in rural and urban populations of Aedes albopictus: implications for infectious disease control.Parasites & vectors · 2025Article
- Diversity of Gut Bacteria of Field-CollectedInsects · 2025Article
- Article
- The influence of culture-dependent native microbiota in Zika virus infection in Aedes aegypti.Parasites & vectors · 2022Article
- Impact of Irradiation on Vector Competence ofFrontiers in bioengineering and biotechnology · 2022Article
- Dengue Infection Susceptibility of FiveViruses · 2021Article
- Dengue and Zika virus infection patterns vary among Aedes aegypti field populations from Belo Horizonte, a Brazilian endemic city.PLoS neglected tropical diseases · 2021Article
- Aedes aegypti continuously exposed to Bacillus thuringiensis svar. israelensis does not exhibit changes in life traits but displays increased susceptibility for Zika virus.Parasites & vectors · 2021Article
- The genomic signal of local environmental adaptation inEvolutionary applications · 2021Article
- Increasing Effectiveness of Genetically Modifying Mosquito Populations: Risk Assessment of Releasing Blood-Fed Females.The American journal of tropical medicine and hygiene · 2021Article
- Comparison of the hemolysis machinery in two evolutionarily distant blood-feeding arthropod vectors of human diseases.PLoS neglected tropical diseases · 2021Article
- The role of heterogenous environmental conditions in shaping the spatiotemporal distribution of competingBiological invasions · 2021Article
- Exploring Changes in the Microbiota ofFrontiers in microbiology · 2021Article
- Effect of Oral Infection of Mayaro Virus on Fitness Correlates and Expression of Immune Related Genes inViruses · 2020Article
- Insecticide resistance, fitness and susceptibility to Zika infection of an interbred Aedes aegypti population from Rio de Janeiro, Brazil.Parasites & vectors · 2020Article
- A Systematic Review: IsPathogens (Basel, Switzerland) · 2020Article
- Influences of a Prolific Gut Fungus (Applied and environmental microbiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn Brazil, dengue epidemics erupt sporadically throughout the country and it is unclear if outbreaks may initiate a sustainable transmission cycle. There are few studies evaluating the ability of Brazilian Aedes aegypti populations to transmit dengue virus (DENV). The aim of this study was to compare DENV susceptibility of field-captured Ae. aegypti populations from nine distinct geographic areas of the city of Belo Horizonte in 2009 and 2011. Infection Rate (IR), Vector Competence (VC) and Disseminated Infection Rate (DIR) were determined.
methodsAedes aegypti eggs from each region were collected and reared separately in an insectary. Adult females were experimentally infected with DENV-2 and the virus was detected by qPCR in body and head samples. Data were analyzed with the Statistical Package for the Social Sciences version 17.
resultsIR varied from 40.0% to 82.5% in 2009 and 60.0% to 100.0% in 2011. VC ranged from 25.0% to 77.5% in 2009 and 25.0% to 80.0% in 2011. DIR oscillated from 68.7% to 100.0% in 2009 and 38.4% to 86.8 in 2011. When the results were evaluated by a logistic model using IR as covariate, North, Barreiro, South-Central and Venda Nova showed the strongest association in 2009. In 2011, a similar association was observed for South-Central, Venda Nova, West and Northeast regions. Using VC as covariate, South-Central and Venda Nova showed the most relevant association in 2009. In 2011, South-Central, Venda Nova and Barreiro presented the greatest revelation associations. When DIR data were analyzed by logistic regression models, Pampulha, South-Central, Venda Nova, West, Northeast and East (2009) as well as South-Central, Venda Nova and West (2011) were the districts showing the strongest associations.
conclusionsWe conclude that Ae. aegypti populations from Belo Horizonte exhibit wide variation in vector competence to transmit dengue. Therefore, vector control strategies should be adapted to the available data for each region. Further analysis should be conducted to better understand the reasons for this large variability in vector competence and how these parameters correlate with epidemiological findings in subsequent years.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.