Evidence map›Paper›PMID 34538276›Full record

ArticleParasites & vectors2021

Determinants of Aedes mosquito density as an indicator of arbovirus transmission risk in three sites affected by co-circulation of globally spreading arboviruses in Colombia, Ecuador and Argentina.

Benoit Talbot, Beate Sander, Varsovia Cevallos, Camila González, Denisse Benítez, Claudio Carissimo, María C Carrasquilla Ferro, Neris Gauto, Sergio Litwiñiuk, Karen López and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Spatial Modeling of the Potential Distribution of Dengue in the City of Manta, Ecuador.International journal of environmental research and public health · 2025
    Article
  2. Review
  3. Arbovirus Prevalence and Vulnerability Assessment Through Entomological Surveillance in Ponce, Puerto Rico.International journal of environmental research and public health · 2025
    Article
  4. Arbovirus Detection inPathogens (Basel, Switzerland) · 2025
    Article
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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

18 authors.

Benoit TalbotSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada. benoit.talbot@uottawa.ca.ORCID http://orcid.org/0000-0002-3567-1213
Beate SanderDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Varsovia CevallosDevelopment and Innovation Management Unit (CZ9), Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Camila GonzálezCenter for Investigation in Tropical Microbiology and Parasitology, Universidad de los Andes, Bogotá, Colombia.
Denisse BenítezDevelopment and Innovation Management Unit (CZ9), Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Claudio CarissimoMunicipal Institute for Surveillance and Control of Vectors, Municipalidad de Posadas, Posadas, Argentina.
María C Carrasquilla FerroCenter for Investigation in Tropical Microbiology and Parasitology, Universidad de los Andes, Bogotá, Colombia.
Neris GautoMunicipal Institute for Surveillance and Control of Vectors, Municipalidad de Posadas, Posadas, Argentina.
Sergio LitwiñiukGroup for Investigation in Applied Genetics (GIGA), IBS, UNaM-CONICET, Posadas, Argentina.
Karen LópezMunicipal Institute for Surveillance and Control of Vectors, Municipalidad de Posadas, Posadas, Argentina.
Mario I OrtizCenter for Investigation in Tropical Microbiology and Parasitology, Universidad de los Andes, Bogotá, Colombia.
Patricio PonceDevelopment and Innovation Management Unit (CZ9), Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Stephany D VillotaDevelopment and Innovation Management Unit (CZ9), Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Fabian ZelayaMunicipal Institute for Surveillance and Control of Vectors, Municipalidad de Posadas, Posadas, Argentina.
Mauricio EspinelSchool of Medicine, Universidad Laica Eloy Alfaro de Manabí, Manta, Ecuador.
Jianhong WuDepartment of Mathematics and Statistics, York University, Toronto, ON, Canada.
Marcos MirettiGroup for Investigation in Applied Genetics (GIGA), IBS, UNaM-CONICET, Posadas, Argentina.
Manisha A KulkarniSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.

Funding

CIHR ZV3-149784International Development Research Centre 108409-001
6 · The paper itself

Abstract

backgroundThe global impact of Zika virus in Latin America has drawn renewed attention to circulating mosquito-borne viruses in this region, such as dengue and chikungunya. Our objective was to assess socio-ecological factors associated with Aedes mosquito vector density as a measure of arbovirus transmission risk in three cities of potentially recent Zika virus introduction: Ibagué, Colombia; Manta, Ecuador; and Posadas, Argentina, in order to inform disease mitigation strategies.

methodsWe sampled Aedes mosquito populations in a total of 1086 households, using indoor and peridomestic mosquito collection methods, including light traps, resting traps, traps equipped with chemical attractant and aspirators. For each sampled household, we collected socio-economic data using structured questionnaires and data on microenvironmental conditions using iButton data loggers.

resultsA total of 3230 female Aedes mosquitoes were collected, of which 99.8% were Aedes aegypti and 0.2% were Aedes albopictus. Mean female Aedes mosquito density per household was 1.71 (standard deviation: 2.84). We used mixed-effects generalized linear Poisson regression analyses to identify predictors of Aedes density, using month, neighborhood and country as random-effects variables. Across study sites, the number of household occupants [incidence rate ratio (IRR): 1.08, 95% confidence interval (CI): 1.01-1.14], presence of entry points for mosquitoes into the household (IRR: 1.51, 95% CI: 1.30-1.76) and presence of decorative vegetation (IRR: 1.52, 95% CI: 1.22-1.88) were associated with higher Aedes density; while being in the highest wealth tertile of household wealth (IRR: 0.78, 95% CI: 0.66-0.92), knowledge of how arboviruses are transmitted (IRR: 0.94, 95% CI: 0.89-1.00) and regular emptying of water containers by occupants (IRR: 0.79, 95% CI: 0.67-0.92) were associated with lower Aedes density.

conclusionsOur study addresses the complexities of arbovirus vectors of global significance at the interface between human and mosquito populations. Our results point to several predictors of Aedes mosquito vector density in countries with co-circulation of multiple Aedes-borne viruses, and point to modifiable risk factors that may be useful for disease prevention and control.

Indexed as

Animal DistributionAedesAnimalsArbovirusesArbovirus InfectionsArgentinaChikungunya FeverCitiesColombiaDengueEcuadorFemaleHumansMosquito VectorsRisk FactorsZika Virus InfectionDisease riskGlobal healthMosquito vectorSocio-economic statusWealth Index

Identifiers

PMID34538276
PMCPMC8451087

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.